{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Results for random forest classifier\n", "## Multilabel classification with imbalanced data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "from sklearn import preprocessing\n", "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn.metrics import classification_report\n", "from sklearn.model_selection import TimeSeriesSplit" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# import data - merged SCADA and downtime\n", "df = pd.read_csv(\"data/SCADA_downtime_merged.csv\", skip_blank_lines=True)\n", "\n", "list1 = list(df[\"turbine_id\"].unique()) # list of turbines to plot\n", "list1 = sorted(list1, key=int) # sort turbines in ascending order\n", "list2 = list(df[\"TurbineCategory_id\"].unique()) # list of categories\n", "list2 = [g for g in list2 if g >= 0] # remove NaN from list\n", "list2 = sorted(list2, key=int) # sort categories in ascending order\n", "list2 = [\n", " m for m in list2 if m not in (1, 12, 13, 14, 15, 17, 21, 22)\n", "] # categories to remove\n", "list4 = list(range(0, 14)) # list of labels identified by their index" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 1, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.984376 0.996567 0.990434 16311\n", " 20 0.933492 0.752874 0.833510 1044\n", "\n", "avg / total 0.981315 0.981907 0.980994 17355\n", "\n", "Classification report for turbine 1, turbine category 1\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.966753 0.996567 0.981434 16019\n", " 20 0.933492 0.753595 0.833952 1043\n", "\n", "avg / total 0.948433 0.965140 0.956001 17355\n", "\n", "Classification report for turbine 1, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.984376 0.996567 0.990434 16311\n", " 20 0.933492 0.752874 0.833510 1044\n", "\n", "avg / total 0.981315 0.981907 0.980994 17355\n", "\n", "Classification report for turbine 1, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.270073 0.560606 0.364532 66\n", " 11.0 0.009524 0.130841 0.017755 107\n", " 12.0 0.014815 0.055556 0.023392 72\n", " 13.0 0.006536 0.016949 0.009434 59\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.976238 0.848787 0.908062 16070\n", " 20.0 0.849624 0.345566 0.491304 981\n", "\n", "avg / total 0.953150 0.808701 0.870223 17355\n", "\n", "Classification report for turbine 1, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.527711 0.693038 0.599179 316\n", " 11 0.128505 0.075862 0.095403 725\n", " 12 0.118705 0.048961 0.069328 674\n", " 13 0.053763 0.008432 0.014577 593\n", " 14 0.024000 0.005245 0.008608 572\n", " 15 0.006536 0.001852 0.002886 540\n", " 16 0.115044 0.025440 0.041667 511\n", " 17 0.025974 0.004386 0.007505 456\n", " 18 0.018182 0.002315 0.004107 432\n", " 19 0.738563 0.938614 0.826658 12006\n", " 20 0.413889 0.281132 0.334831 530\n", "\n", "avg / total 0.550510 0.677038 0.602084 17355\n", "\n", "Classification report for turbine 1, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.984376 0.996567 0.990434 16311\n", " 20 0.933492 0.752874 0.833510 1044\n", "\n", "avg / total 0.981315 0.981907 0.980994 17355\n", "\n", "Classification report for turbine 1, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 71\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.959952 0.995977 0.977632 15908\n", " 20 0.905615 0.751239 0.821235 1009\n", "\n", "avg / total 0.932566 0.956612 0.943866 17355\n", "\n", "Classification report for turbine 1, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985808 0.966710 0.976165 16311\n", " 20.0 0.935484 0.750000 0.832536 1044\n", "\n", "avg / total 0.982781 0.953673 0.967525 17355\n", "\n", "Classification report for turbine 1, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.277487 0.298592 0.287653 710\n", " 11 0.318570 0.485440 0.384688 2919\n", " 12 0.117044 0.184093 0.143104 1798\n", " 13 0.065740 0.090176 0.076043 1364\n", " 14 0.076774 0.070160 0.073318 1126\n", " 15 0.076142 0.032017 0.045079 937\n", " 16 0.034392 0.016539 0.022337 786\n", " 17 0.064972 0.031039 0.042009 741\n", " 18 0.097561 0.053571 0.069164 672\n", " 19 0.542216 0.433487 0.481793 6074\n", " 20 0.250000 0.070175 0.109589 228\n", "\n", "avg / total 0.292480 0.283088 0.280007 17355\n", "\n", "Classification report for turbine 1, turbine category 9\n", " precision recall f1-score support\n", "\n", " 19 0.984376 0.996567 0.990434 16311\n", " 20 0.933492 0.752874 0.833510 1044\n", "\n", "avg / total 0.981315 0.981907 0.980994 17355\n", "\n", "Classification report for turbine 1, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.984376 0.996567 0.990434 16311\n", " 20 0.933492 0.752874 0.833510 1044\n", "\n", "avg / total 0.981315 0.981907 0.980994 17355\n", "\n", "Classification report for turbine 1, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 32\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.883970 0.997540 0.937327 14633\n", " 20 0.910926 0.768537 0.833696 998\n", "\n", "avg / total 0.797709 0.885278 0.838256 17355\n", "\n", "Classification report for turbine 1, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.984376 0.996567 0.990434 16311\n", " 20 0.933492 0.752874 0.833510 1044\n", "\n", "avg / total 0.981315 0.981907 0.980994 17355\n", "\n", "Classification report for turbine 1, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.984376 0.996567 0.990434 16311\n", " 20 0.933492 0.752874 0.833510 1044\n", "\n", "avg / total 0.981315 0.981907 0.980994 17355\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 1, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.981463 0.997678 0.989504 15072\n", " 20 0.982793 0.875602 0.926106 2283\n", "\n", "avg / total 0.981638 0.981619 0.981164 17355\n", "\n", "Classification report for turbine 1, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 249\n", " 11 0.000000 0.000000 0.000000 192\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.100000 0.012903 0.022857 155\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.928924 0.989832 0.958411 14260\n", " 20 0.636453 0.850688 0.728139 1527\n", "\n", "avg / total 0.820157 0.888274 0.851763 17355\n", "\n", "Classification report for turbine 1, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.981463 0.997678 0.989504 15072\n", " 20 0.982793 0.875602 0.926106 2283\n", "\n", "avg / total 0.981638 0.981619 0.981164 17355\n", "\n", "Classification report for turbine 1, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.981828 0.992967 0.987366 15072\n", " 20.0 0.981329 0.782742 0.870858 2283\n", "\n", "avg / total 0.981762 0.965313 0.972040 17355\n", "\n", "Classification report for turbine 1, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.179688 0.844037 0.296296 109\n", " 11 0.016393 0.022727 0.019048 88\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.062500 0.055556 0.058824 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.949638 0.960003 0.954792 14476\n", " 20 0.964160 0.629936 0.762011 2178\n", "\n", "avg / total 0.914574 0.885451 0.894234 17355\n", "\n", "Classification report for turbine 1, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.981463 0.997678 0.989504 15072\n", " 20 0.982793 0.875602 0.926106 2283\n", "\n", "avg / total 0.981638 0.981619 0.981164 17355\n", "\n", "Classification report for turbine 1, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 224\n", " 11 0.000000 0.000000 0.000000 260\n", " 12 0.000000 0.000000 0.000000 226\n", " 13 0.000000 0.000000 0.000000 211\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.880047 0.996744 0.934768 13514\n", " 20 0.866667 0.862376 0.864516 2020\n", "\n", "avg / total 0.786149 0.876520 0.828509 17355\n", "\n", "Classification report for turbine 1, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.200000 0.012500 0.023529 80\n", " 11 0.000000 0.000000 0.000000 109\n", " 12 0.000000 0.000000 0.000000 86\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962648 0.990510 0.976381 14753\n", " 20 0.805745 0.873351 0.838187 1895\n", "\n", "avg / total 0.907222 0.937424 0.921624 17355\n", "\n", "Classification report for turbine 1, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.051095 0.341463 0.088889 123\n", " 11 0.153429 0.437569 0.227194 905\n", " 12 0.059026 0.140327 0.083098 734\n", " 13 0.033665 0.064140 0.044155 686\n", " 14 0.045394 0.054662 0.049599 622\n", " 15 0.042125 0.037582 0.039724 612\n", " 16 0.041209 0.025510 0.031513 588\n", " 17 0.038961 0.026042 0.031217 576\n", " 18 0.025455 0.013283 0.017456 527\n", " 19 0.756202 0.603864 0.671502 10196\n", " 20 0.874715 0.215006 0.345169 1786\n", "\n", "avg / total 0.553048 0.416018 0.453576 17355\n", "\n", "Classification report for turbine 1, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 664\n", " 11 0.000000 0.000000 0.000000 419\n", " 12 0.000000 0.000000 0.000000 360\n", " 13 0.000000 0.000000 0.000000 360\n", " 14 0.000000 0.000000 0.000000 259\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 208\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.865413 0.997667 0.926846 13290\n", " 20 0.465093 0.799662 0.588126 1183\n", "\n", "avg / total 0.694414 0.818496 0.749844 17355\n", "\n", "Classification report for turbine 1, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.981463 0.997678 0.989504 15072\n", " 20 0.982793 0.875602 0.926106 2283\n", "\n", "avg / total 0.981638 0.981619 0.981164 17355\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 1, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.068493 0.069444 0.068966 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.951041 0.965271 0.958103 14570\n", " 20 0.942165 0.867547 0.903318 2197\n", "\n", "avg / total 0.917980 0.920484 0.918993 17355\n", "\n", "Classification report for turbine 1, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 710\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.952092 0.997606 0.974318 14622\n", " 20 0.768437 0.900865 0.829398 1735\n", "\n", "avg / total 0.878982 0.930568 0.903802 17355\n", "\n", "Classification report for turbine 1, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.981463 0.997678 0.989504 15072\n", " 20 0.982793 0.875602 0.926106 2283\n", "\n", "avg / total 0.981638 0.981619 0.981164 17355\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 1, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.929586 0.937329 0.933441 9845\n", " 20 0.916936 0.906924 0.911903 7510\n", "\n", "avg / total 0.924112 0.924172 0.924121 17355\n", "\n", "Classification report for turbine 1, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.934077 0.926866 0.930458 9845\n", " 20.0 0.914083 0.891079 0.902434 7510\n", "\n", "avg / total 0.925425 0.911380 0.918331 17355\n", "\n", "Classification report for turbine 1, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.929586 0.937329 0.933441 9845\n", " 20 0.916936 0.906924 0.911903 7510\n", "\n", "avg / total 0.924112 0.924172 0.924121 17355\n", "\n", "Classification report for turbine 1, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.927560 0.937735 0.932619 9845\n", " 20.0 0.917427 0.883222 0.900000 7510\n", "\n", "avg / total 0.923175 0.914146 0.918504 17355\n", "\n", "Classification report for turbine 1, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.009709 0.019608 0.012987 51\n", " 11 0.000000 0.000000 0.000000 53\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.900413 0.931394 0.915642 9591\n", " 20 0.900713 0.886609 0.893605 7408\n", "\n", "avg / total 0.882100 0.893230 0.887491 17355\n", "\n", "Classification report for turbine 1, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 65\n", " 11 0.000000 0.000000 0.000000 88\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.899063 0.937008 0.917643 9525\n", " 20 0.880183 0.911474 0.895555 7173\n", "\n", "avg / total 0.857224 0.890982 0.873775 17355\n", "\n", "Classification report for turbine 1, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 913\n", " 11 0.000000 0.000000 0.000000 80\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.770309 0.924939 0.840572 8673\n", " 20 0.859097 0.611830 0.714681 7185\n", "\n", "avg / total 0.740623 0.715529 0.715947 17355\n", "\n", "Classification report for turbine 1, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 117\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 126\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.786543 0.926290 0.850715 8859\n", " 20 0.890271 0.803762 0.844808 7389\n", "\n", "avg / total 0.780536 0.815039 0.793937 17355\n", "\n", "Classification report for turbine 1, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.027225 0.173333 0.047059 150\n", " 11 0.098540 0.215426 0.135225 376\n", " 12 0.022599 0.011396 0.015152 351\n", " 13 0.035088 0.012346 0.018265 324\n", " 14 0.000000 0.000000 0.000000 324\n", " 15 0.065574 0.012346 0.020779 324\n", " 16 0.036364 0.006472 0.010989 309\n", " 17 0.014706 0.007042 0.009524 284\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.716616 0.804541 0.758038 7971\n", " 20 0.854138 0.746637 0.796778 6690\n", "\n", "avg / total 0.663983 0.664419 0.660025 17355\n", "\n", "Classification report for turbine 1, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.378049 0.837838 0.521008 37\n", " 11.0 0.000000 0.000000 0.000000 36\n", " 12.0 0.000000 0.000000 0.000000 36\n", " 13.0 0.000000 0.000000 0.000000 36\n", " 14.0 0.000000 0.000000 0.000000 36\n", " 15.0 0.000000 0.000000 0.000000 36\n", " 16.0 0.000000 0.000000 0.000000 36\n", " 17.0 0.000000 0.000000 0.000000 15\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.905956 0.931773 0.918683 9615\n", " 20.0 0.913103 0.888785 0.900780 7472\n", "\n", "avg / total 0.895849 0.900663 0.897899 17355\n", "\n", "Classification report for turbine 1, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.929586 0.937329 0.933441 9845\n", " 20 0.916936 0.906924 0.911903 7510\n", "\n", "avg / total 0.924112 0.924172 0.924121 17355\n", "\n", "Classification report for turbine 1, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 20\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.166667 0.009259 0.017544 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.848149 0.921466 0.883289 8977\n", " 20 0.914891 0.916600 0.915745 7494\n", "\n", "avg / total 0.834804 0.872486 0.852421 17355\n", "\n", "Classification report for turbine 1, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.901113 0.904317 0.902712 9845\n", " 20.0 0.893006 0.683489 0.774325 7510\n", "\n", "avg / total 0.897605 0.808758 0.847155 17355\n", "\n", "Classification report for turbine 1, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8763\n", " 19 0.720359 0.994437 0.835495 7191\n", " 20 0.148223 0.785867 0.249405 1401\n", "\n", "avg / total 0.310444 0.475483 0.366319 17355\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 1, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.987582 0.995655 0.991602 13579\n", " 20 0.983902 0.954979 0.969225 3776\n", "\n", "avg / total 0.986781 0.986805 0.986733 17355\n", "\n", "Classification report for turbine 1, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 84\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967570 0.994283 0.980744 13293\n", " 20 0.962113 0.942818 0.952368 3690\n", "\n", "avg / total 0.945670 0.962028 0.953689 17355\n", "\n", "Classification report for turbine 1, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.987582 0.995655 0.991602 13579\n", " 20 0.983902 0.954979 0.969225 3776\n", "\n", "avg / total 0.986781 0.986805 0.986733 17355\n", "\n", "Classification report for turbine 1, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.020000 0.040650 0.026810 123\n", " 11 0.500000 0.003257 0.006472 307\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 233\n", " 16 0.000000 0.000000 0.000000 184\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.871131 0.993905 0.928477 11977\n", " 20 0.877079 0.833675 0.854827 3415\n", "\n", "avg / total 0.782755 0.850303 0.809270 17355\n", "\n", "Classification report for turbine 1, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.267568 0.908257 0.413361 109\n", " 11 0.006623 0.013889 0.008969 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.045455 0.013889 0.021277 72\n", " 16 0.000000 0.000000 0.000000 67\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967270 0.984287 0.975704 13301\n", " 20 0.913671 0.826175 0.867723 3446\n", "\n", "avg / total 0.924638 0.924229 0.922803 17355\n", "\n", "Classification report for turbine 1, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 27\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.931838 0.995318 0.962533 12815\n", " 20 0.954116 0.940258 0.947136 3649\n", "\n", "avg / total 0.888682 0.932642 0.909879 17355\n", "\n", "Classification report for turbine 1, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 132\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.966672 0.992703 0.979515 13294\n", " 20 0.949204 0.949464 0.949334 3641\n", "\n", "avg / total 0.939613 0.959608 0.949478 17355\n", "\n", "Classification report for turbine 1, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988564 0.993078 0.990816 13579\n", " 20.0 0.983288 0.950477 0.966604 3776\n", "\n", "avg / total 0.987416 0.983809 0.985548 17355\n", "\n", "Classification report for turbine 1, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.135638 0.280734 0.182905 545\n", " 11 0.190840 0.277094 0.226017 1624\n", " 12 0.093750 0.073377 0.082322 1063\n", " 13 0.052817 0.034091 0.041436 880\n", " 14 0.057407 0.047112 0.051753 658\n", " 15 0.049661 0.034321 0.040590 641\n", " 16 0.080000 0.034722 0.048426 576\n", " 17 0.070175 0.022140 0.033661 542\n", " 18 0.007519 0.002053 0.003226 487\n", " 19 0.669010 0.752383 0.708251 8602\n", " 20 0.609698 0.441566 0.512187 1737\n", "\n", "avg / total 0.432223 0.463037 0.442555 17355\n", "\n", "Classification report for turbine 1, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.502092 0.212014 0.298137 566\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.307692 0.015873 0.030189 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.849790 0.989470 0.914326 11681\n", " 20 0.830389 0.912031 0.869297 3092\n", "\n", "avg / total 0.740748 0.835609 0.780436 17355\n", "\n", "Classification report for turbine 1, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973557 0.995593 0.984452 13387\n", " 20 0.952524 0.954347 0.953434 3658\n", "\n", "avg / total 0.951734 0.969116 0.960330 17355\n", "\n", "Classification report for turbine 1, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 25\n", " 11 0.027778 0.006944 0.011111 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.034483 0.006944 0.011561 144\n", " 19 0.915002 0.985107 0.948761 12556\n", " 20 0.942927 0.953341 0.948105 3622\n", "\n", "avg / total 0.859292 0.911783 0.884468 17355\n", "\n", "Classification report for turbine 1, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987634 0.993961 0.990787 13579\n", " 20.0 0.983557 0.950477 0.966734 3776\n", "\n", "avg / total 0.986747 0.984500 0.985554 17355\n", "\n", "Classification report for turbine 1, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.062257 0.050794 0.055944 315\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.961570 0.987674 0.974447 13224\n", " 20 0.840967 0.912346 0.875204 3240\n", "\n", "avg / total 0.890818 0.923826 0.906907 17355\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 1, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.980814 0.996857 0.988770 14000\n", " 20 0.985925 0.918629 0.951088 3355\n", "\n", "avg / total 0.981802 0.981734 0.981486 17355\n", "\n", "Classification report for turbine 1, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.954417 0.994494 0.974044 13622\n", " 20 0.918266 0.883758 0.900682 3140\n", "\n", "avg / total 0.915265 0.940478 0.927489 17355\n", "\n", "Classification report for turbine 1, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.980814 0.996857 0.988770 14000\n", " 20 0.985925 0.918629 0.951088 3355\n", "\n", "avg / total 0.981802 0.981734 0.981486 17355\n", "\n", "Classification report for turbine 1, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.214286 0.096774 0.133333 93\n", " 11 0.000000 0.000000 0.000000 43\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.959307 0.982340 0.970687 13703\n", " 20 0.958859 0.885417 0.920675 3264\n", "\n", "avg / total 0.938924 0.942668 0.940294 17355\n", "\n", "Classification report for turbine 1, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.071225 0.555556 0.126263 45\n", " 11 0.006557 0.027778 0.010610 72\n", " 12 0.019417 0.027778 0.022857 72\n", " 13 0.032258 0.013889 0.019417 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.951743 0.959330 0.955521 13548\n", " 20 0.939038 0.802574 0.865459 3186\n", "\n", "avg / total 0.915781 0.897954 0.905344 17355\n", "\n", "Classification report for turbine 1, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.981072 0.995929 0.988445 14000\n", " 20.0 0.984902 0.913860 0.948052 3355\n", "\n", "avg / total 0.981813 0.980063 0.980636 17355\n", "\n", "Classification report for turbine 1, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 138\n", " 11 0.000000 0.000000 0.000000 324\n", " 12 0.000000 0.000000 0.000000 324\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.076923 0.003086 0.005935 324\n", " 15 0.000000 0.000000 0.000000 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 324\n", " 18 0.000000 0.000000 0.000000 304\n", " 19 0.802424 0.993371 0.887746 11464\n", " 20 0.947598 0.886828 0.916207 3181\n", "\n", "avg / total 0.705170 0.818784 0.754451 17355\n", "\n", "Classification report for turbine 1, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.966443 0.995209 0.980615 13775\n", " 20 0.962915 0.901065 0.930964 3285\n", "\n", "avg / total 0.949348 0.960472 0.954549 17355\n", "\n", "Classification report for turbine 1, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.321617 0.230189 0.268328 795\n", " 11 0.238066 0.374759 0.291168 2076\n", " 12 0.090719 0.068289 0.077922 1274\n", " 13 0.071066 0.041217 0.052174 1019\n", " 14 0.040773 0.023990 0.030207 792\n", " 15 0.023346 0.009464 0.013468 634\n", " 16 0.034653 0.013109 0.019022 534\n", " 17 0.022556 0.006160 0.009677 487\n", " 18 0.018349 0.004608 0.007366 434\n", " 19 0.600711 0.679873 0.637845 8203\n", " 20 0.305208 0.418248 0.352896 1107\n", "\n", "avg / total 0.362313 0.412965 0.382809 17355\n", "\n", "Classification report for turbine 1, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.536424 0.209573 0.301395 773\n", " 11 0.076923 0.001372 0.002695 729\n", " 12 0.000000 0.000000 0.000000 482\n", " 13 0.000000 0.000000 0.000000 350\n", " 14 0.000000 0.000000 0.000000 303\n", " 15 0.000000 0.000000 0.000000 250\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.009259 0.004630 0.006173 216\n", " 19 0.820327 0.988893 0.896757 11704\n", " 20 0.684191 0.885633 0.771988 2116\n", "\n", "avg / total 0.663877 0.784327 0.712501 17355\n", "\n", "Classification report for turbine 1, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 57\n", " 11 0.000000 0.000000 0.000000 132\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.921077 0.996502 0.957306 13152\n", " 20 0.958454 0.913444 0.935408 3258\n", "\n", "avg / total 0.877940 0.926649 0.901069 17355\n", "\n", "Classification report for turbine 1, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.962120 0.993215 0.977420 13707\n", " 20 0.983773 0.922159 0.951970 3353\n", "\n", "avg / total 0.949949 0.962604 0.955889 17355\n", "\n", "Classification report for turbine 1, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980942 0.996357 0.988590 14000\n", " 20.0 0.985630 0.899553 0.940626 3355\n", "\n", "avg / total 0.981849 0.977643 0.979318 17355\n", "\n", "Classification report for turbine 1, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960506 0.985928 0.973051 13715\n", " 20 0.984585 0.896655 0.938565 3348\n", "\n", "avg / total 0.948990 0.952118 0.950026 17355\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 2, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.957302 0.991556 0.974128 16461\n", " 20 0.982074 0.841470 0.906352 3646\n", "\n", "avg / total 0.948026 0.950537 0.948070 20399\n", "\n", "Classification report for turbine 2, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.957153 0.997388 0.976856 16462\n", " 20 0.985516 0.877607 0.928437 3644\n", "\n", "avg / total 0.948472 0.961665 0.954176 20399\n", "\n", "Classification report for turbine 2, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.973534 0.997313 0.985280 16745\n", " 20 0.986133 0.875753 0.927671 3654\n", "\n", "avg / total 0.975791 0.975538 0.974960 20399\n", "\n", "Classification report for turbine 2, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.159972 0.825000 0.267981 280\n", " 11 0.003359 0.018868 0.005703 159\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.007792 0.020833 0.011342 144\n", " 14 0.003247 0.006944 0.004425 144\n", " 15 0.008811 0.013889 0.010782 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.909962 0.865729 0.887295 15573\n", " 20 0.959935 0.347440 0.510213 3379\n", "\n", "avg / total 0.856054 0.730232 0.765803 20399\n", "\n", "Classification report for turbine 2, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.666667 0.000816 0.001629 2452\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.936011 0.996210 0.965173 16093\n", " 20 0.270454 0.685446 0.387868 1278\n", "\n", "avg / total 0.835508 0.828962 0.785931 20399\n", "\n", "Classification report for turbine 2, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.006061 0.012048 330\n", " 11 0.000000 0.000000 0.000000 163\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 68\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.957199 0.996782 0.976589 16468\n", " 20 0.837662 0.878975 0.857821 3082\n", "\n", "avg / total 0.915477 0.937595 0.918195 20399\n", "\n", "Classification report for turbine 2, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 246\n", " 11 0.000000 0.000000 0.000000 155\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 67\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.945497 0.997172 0.970647 16266\n", " 20 0.925994 0.879871 0.902344 3413\n", "\n", "avg / total 0.908862 0.942350 0.924959 20399\n", "\n", "Classification report for turbine 2, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 61\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.948899 0.995405 0.971596 16323\n", " 20 0.929830 0.859261 0.893154 3439\n", "\n", "avg / total 0.916053 0.941370 0.928032 20399\n", "\n", "Classification report for turbine 2, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.974183 0.966736 0.970445 16745\n", " 20.0 0.963265 0.387521 0.552693 3654\n", "\n", "avg / total 0.972227 0.862983 0.895615 20399\n", "\n", "Classification report for turbine 2, turbine category 9\n", " precision recall f1-score support\n", "\n", " 19 0.973534 0.997313 0.985280 16745\n", " 20 0.986133 0.875753 0.927671 3654\n", "\n", "avg / total 0.975791 0.975538 0.974960 20399\n", "\n", "Classification report for turbine 2, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.973534 0.997313 0.985280 16745\n", " 20 0.986133 0.875753 0.927671 3654\n", "\n", "avg / total 0.975791 0.975538 0.974960 20399\n", "\n", "Classification report for turbine 2, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 53\n", " 11 0.000000 0.000000 0.000000 288\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.000000 0.000000 0.000000 288\n", " 15 0.076923 0.003676 0.007018 272\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.854791 0.993800 0.919069 14678\n", " 20 0.950739 0.885321 0.916865 3488\n", "\n", "avg / total 0.778652 0.866513 0.818179 20399\n", "\n", "Classification report for turbine 2, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.973534 0.997313 0.985280 16745\n", " 20 0.986133 0.875753 0.927671 3654\n", "\n", "avg / total 0.975791 0.975538 0.974960 20399\n", "\n", "Classification report for turbine 2, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.973534 0.997313 0.985280 16745\n", " 20 0.986133 0.875753 0.927671 3654\n", "\n", "avg / total 0.975791 0.975538 0.974960 20399\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 2, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 57\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.943262 0.994701 0.968298 17549\n", " 20 0.915226 0.740189 0.818454 2217\n", "\n", "avg / total 0.910944 0.936173 0.921966 20399\n", "\n", "Classification report for turbine 2, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 279\n", " 11 0.000000 0.000000 0.000000 276\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 236\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.893296 0.994338 0.941113 16603\n", " 20 0.683121 0.769277 0.723644 1673\n", "\n", "avg / total 0.783090 0.872396 0.825332 20399\n", "\n", "Classification report for turbine 2, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.972524 0.995579 0.983916 18096\n", " 20 0.957311 0.778984 0.858990 2303\n", "\n", "avg / total 0.970806 0.971126 0.969812 20399\n", "\n", "Classification report for turbine 2, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.076720 0.150259 0.101576 193\n", " 11 0.000000 0.000000 0.000000 396\n", " 12 0.011494 0.002525 0.004141 396\n", " 13 0.000000 0.000000 0.000000 396\n", " 14 0.000000 0.000000 0.000000 375\n", " 15 0.083333 0.009259 0.016667 324\n", " 16 0.000000 0.000000 0.000000 296\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.840834 0.974248 0.902638 15649\n", " 20 0.723596 0.537264 0.616661 1798\n", "\n", "avg / total 0.711093 0.796363 0.748114 20399\n", "\n", "Classification report for turbine 2, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.033898 0.013274 0.019078 452\n", " 11 0.000000 0.000000 0.000000 291\n", " 12 0.000000 0.000000 0.000000 184\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 126\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.905405 0.992366 0.946893 16898\n", " 20 0.695493 0.647392 0.670581 1764\n", "\n", "avg / total 0.810907 0.878327 0.842793 20399\n", "\n", "Classification report for turbine 2, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.966643 0.989666 0.978019 18096\n", " 20.0 0.951266 0.652627 0.774144 2303\n", "\n", "avg / total 0.964907 0.951615 0.955002 20399\n", "\n", "Classification report for turbine 2, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.058824 0.009294 0.016051 538\n", " 11 0.000000 0.000000 0.000000 244\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 179\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.901740 0.993746 0.945510 16789\n", " 20 0.662577 0.723949 0.691904 1641\n", "\n", "avg / total 0.797012 0.876366 0.834267 20399\n", "\n", "Classification report for turbine 2, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 115\n", " 11 0.000000 0.000000 0.000000 92\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.955470 0.995053 0.974860 17790\n", " 20 0.787453 0.767123 0.777155 1898\n", "\n", "avg / total 0.906535 0.939164 0.922487 20399\n", "\n", "Classification report for turbine 2, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.972601 0.992595 0.982496 18096\n", " 20.0 0.956220 0.777681 0.857759 2303\n", "\n", "avg / total 0.970752 0.968332 0.968414 20399\n", "\n", "Classification report for turbine 2, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 986\n", " 11 0.000000 0.000000 0.000000 289\n", " 12 0.000000 0.000000 0.000000 260\n", " 13 0.000000 0.000000 0.000000 217\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 158\n", " 19 0.876113 0.995278 0.931902 16307\n", " 20 0.614728 0.787962 0.690647 1462\n", "\n", "avg / total 0.744424 0.852101 0.794463 20399\n", "\n", "Classification report for turbine 2, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.972524 0.995579 0.983916 18096\n", " 20 0.957311 0.778984 0.858990 2303\n", "\n", "avg / total 0.970806 0.971126 0.969812 20399\n", "\n", "Classification report for turbine 2, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.272727 0.120000 0.166667 25\n", " 11 0.196429 0.076389 0.110000 144\n", " 12 0.045455 0.013889 0.021277 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.008753 0.027778 0.013311 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.006920 0.013889 0.009238 144\n", " 19 0.919125 0.935873 0.927423 17013\n", " 20 0.910714 0.715708 0.801521 2209\n", "\n", "avg / total 0.867334 0.859111 0.861568 20399\n", "\n", "Classification report for turbine 2, turbine category 12\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 19 0.972524 0.995579 0.983916 18096\n", " 20 0.957311 0.778984 0.858990 2303\n", "\n", "avg / total 0.970806 0.971126 0.969812 20399\n", "\n", "Classification report for turbine 2, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.972524 0.995579 0.983916 18096\n", " 20 0.957311 0.778984 0.858990 2303\n", "\n", "avg / total 0.970806 0.971126 0.969812 20399\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 2, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 151\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 149\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 119\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.925060 0.981677 0.952528 15718\n", " 20 0.913966 0.918444 0.916200 3470\n", "\n", "avg / total 0.868256 0.912643 0.889801 20399\n", "\n", "Classification report for turbine 2, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.011628 0.150000 0.021583 20\n", " 11 0.038710 0.166667 0.062827 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.988365 0.971990 0.980109 16780\n", " 20 0.854642 0.825732 0.839939 3311\n", "\n", "avg / total 0.951817 0.934016 0.942692 20399\n", "\n", "Classification report for turbine 2, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.988682 0.988976 0.988829 16782\n", " 20 0.948782 0.947470 0.948126 3617\n", "\n", "avg / total 0.981607 0.981617 0.981612 20399\n", "\n", "Classification report for turbine 2, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.537349 0.356230 0.428434 626\n", " 11 0.017857 0.003591 0.005979 557\n", " 12 0.043478 0.006369 0.011111 471\n", " 13 0.040000 0.004376 0.007890 457\n", " 14 0.004975 0.002545 0.003367 393\n", " 15 0.000000 0.000000 0.000000 360\n", " 16 0.000000 0.000000 0.000000 329\n", " 17 0.000000 0.000000 0.000000 307\n", " 18 0.053333 0.013889 0.022039 288\n", " 19 0.829106 0.963697 0.891349 14076\n", " 20 0.698343 0.814596 0.752003 2535\n", "\n", "avg / total 0.678621 0.777734 0.722633 20399\n", "\n", "Classification report for turbine 2, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988695 0.984924 0.986806 16782\n", " 20.0 0.947197 0.882776 0.913852 3617\n", "\n", "avg / total 0.981337 0.966812 0.973870 20399\n", "\n", "Classification report for turbine 2, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988556 0.988261 0.988408 16782\n", " 20.0 0.948971 0.930605 0.939698 3617\n", "\n", "avg / total 0.981537 0.978038 0.979772 20399\n", "\n", "Classification report for turbine 2, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988299 0.986474 0.987386 16782\n", " 20.0 0.947623 0.920376 0.933801 3617\n", "\n", "avg / total 0.981087 0.974754 0.977884 20399\n", "\n", "Classification report for turbine 2, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988491 0.987785 0.988138 16782\n", " 20.0 0.940968 0.806469 0.868543 3617\n", "\n", "avg / total 0.980065 0.955635 0.966932 20399\n", "\n", "Classification report for turbine 2, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.971087 0.985869 0.978422 16489\n", " 20 0.948668 0.945781 0.947223 3615\n", "\n", "avg / total 0.953071 0.964508 0.958744 20399\n", "\n", "Classification report for turbine 2, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.152866 0.151420 0.152139 317\n", " 11 0.000000 0.000000 0.000000 112\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.941556 0.984181 0.962397 15993\n", " 20 0.849097 0.861223 0.855117 3221\n", "\n", "avg / total 0.874637 0.909947 0.891915 20399\n", "\n", "Classification report for turbine 2, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.988682 0.988976 0.988829 16782\n", " 20 0.948782 0.947470 0.948126 3617\n", "\n", "avg / total 0.981607 0.981617 0.981612 20399\n", "\n", "Classification report for turbine 2, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.043478 0.027778 0.033898 108\n", " 12 0.100000 0.018519 0.031250 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.940205 0.979036 0.959228 15932\n", " 20 0.938776 0.911272 0.924819 3584\n", "\n", "avg / total 0.900015 0.924996 0.912006 20399\n", "\n", "Classification report for turbine 2, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.988682 0.988976 0.988829 16782\n", " 20 0.948782 0.947470 0.948126 3617\n", "\n", "avg / total 0.981607 0.981617 0.981612 20399\n", "\n", "Classification report for turbine 2, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.988682 0.988976 0.988829 16782\n", " 20 0.948782 0.947470 0.948126 3617\n", "\n", "avg / total 0.981607 0.981617 0.981612 20399\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 2, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 84\n", " 11 0.000000 0.000000 0.000000 40\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.949810 0.990880 0.969910 16119\n", " 20 0.970520 0.860143 0.912004 3904\n", "\n", "avg / total 0.936266 0.947595 0.940951 20399\n", "\n", "Classification report for turbine 2, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.969174 0.989008 0.978991 16467\n", " 20.0 0.975603 0.864446 0.916667 3932\n", "\n", "avg / total 0.970413 0.964998 0.966977 20399\n", "\n", "Classification report for turbine 2, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.968558 0.995203 0.981699 16467\n", " 20 0.977292 0.864700 0.917555 3932\n", "\n", "avg / total 0.970242 0.970048 0.969335 20399\n", "\n", "Classification report for turbine 2, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.280844 0.424020 0.337891 408\n", " 11 0.000000 0.000000 0.000000 397\n", " 12 0.010417 0.002525 0.004065 396\n", " 13 0.000000 0.000000 0.000000 396\n", " 14 0.039216 0.005155 0.009112 388\n", " 15 0.026316 0.003322 0.005900 301\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 229\n", " 19 0.831935 0.971467 0.896303 14089\n", " 20 0.818429 0.731389 0.772465 3291\n", "\n", "avg / total 0.713586 0.797637 0.750771 20399\n", "\n", "Classification report for turbine 2, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.005296 0.025751 0.008785 233\n", " 11 0.000000 0.000000 0.000000 86\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.948788 0.988548 0.968260 16155\n", " 20 0.833895 0.578194 0.682893 3421\n", "\n", "avg / total 0.891302 0.880141 0.881439 20399\n", "\n", "Classification report for turbine 2, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.968270 0.995142 0.981522 16467\n", " 20.0 0.975870 0.812564 0.886761 3932\n", "\n", "avg / total 0.969735 0.959949 0.963256 20399\n", "\n", "Classification report for turbine 2, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.022989 0.230769 0.041812 26\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.952212 0.994011 0.972663 16197\n", " 20 0.880639 0.780833 0.827739 3600\n", "\n", "avg / total 0.911509 0.927349 0.918435 20399\n", "\n", "Classification report for turbine 2, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 24\n", " 11 0.000000 0.000000 0.000000 40\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.952494 0.994073 0.972839 16196\n", " 20 0.966112 0.850785 0.904788 3887\n", "\n", "avg / total 0.940333 0.951370 0.944802 20399\n", "\n", "Classification report for turbine 2, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 623\n", " 11 0.400000 0.005063 0.010000 395\n", " 12 0.000000 0.000000 0.000000 305\n", " 13 0.000000 0.000000 0.000000 222\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.880679 0.992304 0.933166 14943\n", " 20 0.742321 0.866822 0.799755 3011\n", "\n", "avg / total 0.762445 0.854944 0.801819 20399\n", "\n", "Classification report for turbine 2, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.151832 0.090343 0.113281 321\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.111111 0.006944 0.013072 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 128\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.911952 0.988840 0.948841 15502\n", " 20 0.877396 0.812852 0.843892 3548\n", "\n", "avg / total 0.848807 0.894309 0.869714 20399\n", "\n", "Classification report for turbine 2, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967730 0.995259 0.981302 16452\n", " 20 0.895085 0.854790 0.874473 3643\n", "\n", "avg / total 0.940335 0.955341 0.947600 20399\n", "\n", "Classification report for turbine 2, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.017857 0.018519 0.018182 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.925734 0.980902 0.952520 15656\n", " 20 0.951879 0.865838 0.906822 3861\n", "\n", "avg / total 0.890751 0.916810 0.902782 20399\n", "\n", "Classification report for turbine 2, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.968558 0.995203 0.981699 16467\n", " 20 0.977292 0.864700 0.917555 3932\n", "\n", "avg / total 0.970242 0.970048 0.969335 20399\n", "\n", "Classification report for turbine 2, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 23\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.951418 0.995117 0.972777 16177\n", " 20 0.971256 0.863973 0.914479 3911\n", "\n", "avg / total 0.940717 0.954802 0.946769 20399\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 2, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.965822 0.985970 0.975792 13614\n", " 20 0.963733 0.950069 0.956852 6489\n", "\n", "avg / total 0.951143 0.960243 0.955608 20399\n", "\n", "Classification report for turbine 2, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.076923 0.023256 0.035714 86\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.950750 0.988652 0.969331 13395\n", " 20 0.943527 0.945758 0.944641 6342\n", "\n", "avg / total 0.917975 0.943331 0.930348 20399\n", "\n", "Classification report for turbine 2, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.980714 0.989296 0.984986 13827\n", " 20 0.977058 0.959069 0.967980 6572\n", "\n", "avg / total 0.979536 0.979558 0.979507 20399\n", "\n", "Classification report for turbine 2, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.049822 0.528302 0.091057 53\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.043478 0.013889 0.021053 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962674 0.976196 0.969388 13527\n", " 20 0.927956 0.862406 0.893981 6243\n", "\n", "avg / total 0.922648 0.912692 0.916730 20399\n", "\n", "Classification report for turbine 2, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980547 0.987922 0.984221 13827\n", " 20.0 0.976973 0.936093 0.956096 6572\n", "\n", "avg / total 0.979396 0.971224 0.975160 20399\n", "\n", "Classification report for turbine 2, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980638 0.989007 0.984805 13827\n", " 20.0 0.976972 0.955417 0.966074 6572\n", "\n", "avg / total 0.979457 0.978185 0.978770 20399\n", "\n", "Classification report for turbine 2, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.571429 0.027778 0.052980 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.915346 0.984197 0.948524 12909\n", " 20 0.941269 0.948118 0.944681 6322\n", "\n", "avg / total 0.875003 0.916859 0.893396 20399\n", "\n", "Classification report for turbine 2, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980702 0.988645 0.984657 13827\n", " 20.0 0.976933 0.953743 0.965199 6572\n", "\n", "avg / total 0.979487 0.977401 0.978388 20399\n", "\n", "Classification report for turbine 2, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.812500 0.015644 0.030697 831\n", " 11 0.000000 0.000000 0.000000 432\n", " 12 0.000000 0.000000 0.000000 385\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.000000 0.000000 0.000000 314\n", " 15 0.000000 0.000000 0.000000 288\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.807402 0.985699 0.887686 11398\n", " 20 0.829731 0.959195 0.889778 5563\n", "\n", "avg / total 0.710513 0.812981 0.739899 20399\n", "\n", "Classification report for turbine 2, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.807370 0.111162 0.195419 4336\n", " 11 0.024390 0.001555 0.002924 643\n", " 12 0.000000 0.000000 0.000000 540\n", " 13 0.000000 0.000000 0.000000 502\n", " 14 0.117647 0.004630 0.008909 432\n", " 15 0.000000 0.000000 0.000000 432\n", " 16 0.000000 0.000000 0.000000 432\n", " 17 0.000000 0.000000 0.000000 406\n", " 18 0.000000 0.000000 0.000000 377\n", " 19 0.760171 0.986703 0.858749 10604\n", " 20 0.246973 0.854277 0.383170 1695\n", "\n", "avg / total 0.590555 0.607677 0.520060 20399\n", "\n", "Classification report for turbine 2, turbine category 10\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980573 0.989296 0.984916 13827\n", " 20.0 0.977044 0.958460 0.967663 6572\n", "\n", "avg / total 0.979436 0.979362 0.979357 20399\n", "\n", "Classification report for turbine 2, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.100000 0.013889 0.024390 72\n", " 12 0.083333 0.013889 0.023810 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.017241 0.013889 0.015385 72\n", " 16 0.050000 0.013889 0.021739 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.947018 0.984373 0.965334 13310\n", " 20 0.968857 0.957084 0.962934 6501\n", "\n", "avg / total 0.927565 0.947497 0.937045 20399\n", "\n", "Classification report for turbine 2, turbine category 12\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 19 0.980714 0.989296 0.984986 13827\n", " 20 0.977058 0.959069 0.967980 6572\n", "\n", "avg / total 0.979536 0.979558 0.979507 20399\n", "\n", "Classification report for turbine 2, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.500000 0.017857 0.034483 56\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 99\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.941328 0.988774 0.964468 13273\n", " 20 0.952086 0.960125 0.956088 6395\n", "\n", "avg / total 0.912341 0.944409 0.927374 20399\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 3, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 62\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 97\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.945962 0.984531 0.964861 16678\n", " 20 0.924653 0.928669 0.926657 4374\n", "\n", "avg / total 0.911277 0.941658 0.926171 21751\n", "\n", "Classification report for turbine 3, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.910934 0.983945 0.946033 16070\n", " 20 0.893467 0.930315 0.911519 4219\n", "\n", "avg / total 0.846318 0.907407 0.875751 21751\n", "\n", "Classification report for turbine 3, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.981910 0.984918 0.983412 17305\n", " 20 0.940587 0.929375 0.934947 4446\n", "\n", "avg / total 0.973464 0.973564 0.973505 21751\n", "\n", "Classification report for turbine 3, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 63\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.025000 0.013889 0.017857 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.951140 0.980135 0.965420 16763\n", " 20 0.918697 0.927570 0.923112 4349\n", "\n", "avg / total 0.916794 0.940876 0.928658 21751\n", "\n", "Classification report for turbine 3, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.982032 0.972782 0.977386 17305\n", " 20.0 0.942871 0.876068 0.908243 4446\n", "\n", "avg / total 0.974028 0.953014 0.963253 21751\n", "\n", "Classification report for turbine 3, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 347\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.956839 0.982067 0.969288 16840\n", " 20 0.834500 0.926780 0.878223 3988\n", "\n", "avg / total 0.893805 0.930256 0.911460 21751\n", "\n", "Classification report for turbine 3, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 92\n", " 11 0.000000 0.000000 0.000000 606\n", " 12 0.000000 0.000000 0.000000 540\n", " 13 0.000000 0.000000 0.000000 536\n", " 14 0.013514 0.002179 0.003752 459\n", " 15 0.000000 0.000000 0.000000 405\n", " 16 0.000000 0.000000 0.000000 396\n", " 17 0.000000 0.000000 0.000000 385\n", " 18 0.000000 0.000000 0.000000 319\n", " 19 0.835138 0.960677 0.893519 14775\n", " 20 0.676026 0.884805 0.766453 3238\n", "\n", "avg / total 0.668215 0.784332 0.721127 21751\n", "\n", "Classification report for turbine 3, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 142\n", " 11 0.000000 0.000000 0.000000 216\n", " 12 0.031250 0.004630 0.008065 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 200\n", " 17 0.033333 0.011111 0.016667 180\n", " 18 0.090909 0.005556 0.010471 180\n", " 19 0.896055 0.971755 0.932371 15826\n", " 20 0.867953 0.847212 0.857457 4143\n", "\n", "avg / total 0.818630 0.868604 0.842020 21751\n", "\n", "Classification report for turbine 3, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.717323 0.820901 0.765625 2507\n", " 11 0.129256 0.395278 0.194809 1652\n", " 12 0.065233 0.160035 0.092685 1156\n", " 13 0.043053 0.085382 0.057242 773\n", " 14 0.012467 0.033275 0.018138 571\n", " 15 0.006349 0.014888 0.008902 403\n", " 16 0.011905 0.015823 0.013587 316\n", " 17 0.020408 0.020492 0.020450 244\n", " 18 0.003632 0.013889 0.005758 216\n", " 19 0.709001 0.296640 0.418276 12082\n", " 20 0.477578 0.116330 0.187088 1831\n", "\n", "avg / total 0.532405 0.312491 0.359215 21751\n", "\n", "Classification report for turbine 3, turbine category 9\n", " precision recall f1-score support\n", "\n", " 19 0.981910 0.984918 0.983412 17305\n", " 20 0.940587 0.929375 0.934947 4446\n", "\n", "avg / total 0.973464 0.973564 0.973505 21751\n", "\n", "Classification report for turbine 3, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.981910 0.984918 0.983412 17305\n", " 20 0.940587 0.929375 0.934947 4446\n", "\n", "avg / total 0.973464 0.973564 0.973505 21751\n", "\n", "Classification report for turbine 3, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 54\n", " 11 0.000000 0.000000 0.000000 324\n", " 12 0.000000 0.000000 0.000000 324\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.000000 0.000000 0.000000 324\n", " 15 0.000000 0.000000 0.000000 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 324\n", " 18 0.000000 0.000000 0.000000 287\n", " 19 0.866682 0.985032 0.922075 15232\n", " 20 0.830559 0.931458 0.878119 3910\n", "\n", "avg / total 0.756231 0.857248 0.803572 21751\n", "\n", "Classification report for turbine 3, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.981910 0.984918 0.983412 17305\n", " 20 0.940587 0.929375 0.934947 4446\n", "\n", "avg / total 0.973464 0.973564 0.973505 21751\n", "\n", "Classification report for turbine 3, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.981910 0.984918 0.983412 17305\n", " 20 0.940587 0.929375 0.934947 4446\n", "\n", "avg / total 0.973464 0.973564 0.973505 21751\n", "\n", "------------------------------------------------------------------------" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 3, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 41\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974821 0.983410 0.979097 18385\n", " 20 0.911218 0.936121 0.923502 3037\n", "\n", "avg / total 0.951195 0.961933 0.956525 21751\n", "\n", "Classification report for turbine 3, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.978828 0.963619 0.971164 18471\n", " 20 0.902439 0.941413 0.921514 2987\n", "\n", "avg / total 0.955152 0.947589 0.951263 21751\n", "\n", "Classification report for turbine 3, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.989905 0.987731 0.988817 18665\n", " 20 0.926767 0.939080 0.932883 3086\n", "\n", "avg / total 0.980947 0.980828 0.980881 21751\n", "\n", "Classification report for turbine 3, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989866 0.978570 0.984185 18665\n", " 20.0 0.926353 0.937459 0.931873 3086\n", "\n", "avg / total 0.980855 0.972737 0.976763 21751\n", "\n", "Classification report for turbine 3, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 49\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.959275 0.985247 0.972087 18098\n", " 20 0.908765 0.921070 0.914876 3028\n", "\n", "avg / total 0.924679 0.948002 0.936191 21751\n", "\n", "Classification report for turbine 3, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.789474 0.168539 0.277778 178\n", " 11 0.000000 0.000000 0.000000 41\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.971261 0.978477 0.974856 18306\n", " 20 0.905776 0.943847 0.924420 2974\n", "\n", "avg / total 0.947736 0.953933 0.949123 21751\n", "\n", "Classification report for turbine 3, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.033333 0.250000 0.058824 4\n", " 11 0.041667 0.055556 0.047619 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.983359 0.985323 0.984340 18532\n", " 20 0.870178 0.886232 0.878131 2927\n", "\n", "avg / total 0.955003 0.958898 0.956923 21751\n", "\n", "Classification report for turbine 3, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.978790 0.966762 0.972739 18473\n", " 20 0.899934 0.909883 0.904881 2985\n", "\n", "avg / total 0.954783 0.945934 0.950323 21751\n", "\n", "Classification report for turbine 3, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.038972 0.602564 0.073209 78\n", " 11 0.004425 0.003472 0.003891 288\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.003390 0.003690 0.003534 271\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.034483 0.007937 0.012903 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.899426 0.942973 0.920685 16957\n", " 20 0.833333 0.423534 0.561626 2609\n", "\n", "avg / total 0.801787 0.788286 0.785637 21751\n", "\n", "Classification report for turbine 3, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1496\n", " 11 0.000000 0.000000 0.000000 613\n", " 12 0.000000 0.000000 0.000000 424\n", " 13 0.000000 0.000000 0.000000 381\n", " 14 0.000000 0.000000 0.000000 347\n", " 15 0.000000 0.000000 0.000000 324\n", " 16 0.000000 0.000000 0.000000 238\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 200\n", " 19 0.843374 0.987117 0.909602 15912\n", " 20 0.461145 0.901250 0.610112 1600\n", "\n", "avg / total 0.650894 0.788424 0.710301 21751\n", "\n", "Classification report for turbine 3, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.989905 0.987731 0.988817 18665\n", " 20 0.926767 0.939080 0.932883 3086\n", "\n", "avg / total 0.980947 0.980828 0.980881 21751\n", "\n", "Classification report for turbine 3, turbine category 11\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.046512 0.055556 0.050633 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.009804 0.083333 0.017544 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.055556 0.055556 0.055556 36\n", " 19 0.975093 0.952070 0.963444 18381\n", " 20 0.923303 0.919701 0.921498 3076\n", "\n", "avg / total 0.954774 0.934946 0.944695 21751\n", "\n", "Classification report for turbine 3, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.989905 0.987731 0.988817 18665\n", " 20 0.926767 0.939080 0.932883 3086\n", "\n", "avg / total 0.980947 0.980828 0.980881 21751\n", "\n", "Classification report for turbine 3, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.989905 0.987731 0.988817 18665\n", " 20 0.926767 0.939080 0.932883 3086\n", "\n", "avg / total 0.980947 0.980828 0.980881 21751\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 3, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.979761 0.979147 0.979454 15969\n", " 20.0 0.950052 0.944137 0.947085 5782\n", "\n", "avg / total 0.971863 0.969840 0.970849 21751\n", "\n", "Classification report for turbine 3, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.979572 0.969942 0.974733 15969\n", " 20.0 0.949284 0.929090 0.939079 5782\n", "\n", "avg / total 0.971521 0.959082 0.965255 21751\n", "\n", "Classification report for turbine 3, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.979761 0.982216 0.980987 15969\n", " 20 0.950540 0.943964 0.947241 5782\n", "\n", "avg / total 0.971994 0.972047 0.972016 21751\n", "\n", "Classification report for turbine 3, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.962527 0.973564 0.968014 15698\n", " 20 0.947129 0.939562 0.943330 5758\n", "\n", "avg / total 0.945396 0.951359 0.948351 21751\n", "\n", "Classification report for turbine 3, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.979608 0.980713 0.980160 15969\n", " 20.0 0.950405 0.934625 0.942449 5782\n", "\n", "avg / total 0.971845 0.968461 0.970135 21751\n", "\n", "Classification report for turbine 3, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980622 0.976016 0.978313 15969\n", " 20.0 0.938471 0.762366 0.841302 5782\n", "\n", "avg / total 0.969417 0.919222 0.941892 21751\n", "\n", "Classification report for turbine 3, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 56\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 100\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.936357 0.980197 0.957775 15250\n", " 20 0.941846 0.937903 0.939871 5733\n", "\n", "avg / total 0.904742 0.934440 0.919238 21751\n", "\n", "Classification report for turbine 3, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.165049 0.087179 0.114094 195\n", " 11 0.000000 0.000000 0.000000 153\n", " 12 0.000000 0.000000 0.000000 103\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.942918 0.977818 0.960051 15373\n", " 20 0.905417 0.921565 0.913420 5495\n", "\n", "avg / total 0.896645 0.924693 0.910319 21751\n", "\n", "Classification report for turbine 3, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.014388 0.027778 0.018957 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.015625 0.013889 0.014706 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.946647 0.959366 0.952964 15406\n", " 20 0.946875 0.683854 0.794153 5760\n", "\n", "avg / total 0.921346 0.860742 0.885390 21751\n", "\n", "Classification report for turbine 3, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 666\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.961521 0.969635 0.965561 15643\n", " 20 0.791353 0.929100 0.854712 4866\n", "\n", "avg / total 0.868549 0.905200 0.885628 21751\n", "\n", "Classification report for turbine 3, turbine category 10\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 64\n", " 11 0.000000 0.000000 0.000000 37\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.970704 0.982363 0.976499 15819\n", " 20 0.918147 0.944972 0.931366 5579\n", "\n", "avg / total 0.941470 0.956830 0.949075 21751\n", "\n", "Classification report for turbine 3, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 20\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.333333 0.009259 0.018018 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.931186 0.979009 0.954499 15149\n", " 20 0.939317 0.909584 0.924211 5718\n", "\n", "avg / total 0.897134 0.921015 0.907834 21751\n", "\n", "Classification report for turbine 3, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.979761 0.982216 0.980987 15969\n", " 20 0.950540 0.943964 0.947241 5782\n", "\n", "avg / total 0.971994 0.972047 0.972016 21751\n", "\n", "Classification report for turbine 3, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.979761 0.982216 0.980987 15969\n", " 20 0.950540 0.943964 0.947241 5782\n", "\n", "avg / total 0.971994 0.972047 0.972016 21751\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 3, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.019608 0.038462 51\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.400000 0.027778 0.051948 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 1.000000 0.013889 0.027397 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.968316 0.992682 0.980348 19950\n", " 20 0.843091 0.919932 0.879837 1174\n", "\n", "avg / total 0.940623 0.960324 0.947016 21751\n", "\n", "Classification report for turbine 3, turbine category 1\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995303 0.992051 0.993675 20507\n", " 20.0 0.889147 0.922026 0.905288 1244\n", "\n", "avg / total 0.989232 0.988047 0.988620 21751\n", "\n", "Classification report for turbine 3, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.995116 0.993514 0.994314 20507\n", " 20 0.895850 0.919614 0.907576 1244\n", "\n", "avg / total 0.989438 0.989288 0.989354 21751\n", "\n", "Classification report for turbine 3, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.983025 0.991905 0.987445 20259\n", " 20 0.854430 0.906801 0.879837 1191\n", "\n", "avg / total 0.962380 0.973518 0.967888 21751\n", "\n", "Classification report for turbine 3, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995065 0.992978 0.994020 20507\n", " 20.0 0.892601 0.901929 0.897241 1244\n", "\n", "avg / total 0.989204 0.987771 0.988485 21751\n", "\n", "Classification report for turbine 3, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995644 0.992003 0.993820 20507\n", " 20.0 0.887172 0.922830 0.904649 1244\n", "\n", "avg / total 0.989440 0.988047 0.988720 21751\n", "\n", "Classification report for turbine 3, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 23\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.300000 0.041667 0.073171 72\n", " 13 0.000000 0.000000 0.000000 87\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.958078 0.990983 0.974253 19741\n", " 20 0.864501 0.897204 0.880549 1216\n", "\n", "avg / total 0.918866 0.949703 0.933692 21751\n", "\n", "Classification report for turbine 3, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 14\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.955758 0.989539 0.972355 19692\n", " 20 0.834646 0.897544 0.864953 1181\n", "\n", "avg / total 0.910602 0.944600 0.927274 21751\n", "\n", "Classification report for turbine 3, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.759857 0.549223 0.637594 386\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 143\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.939153 0.982397 0.960289 19372\n", " 20 0.699677 0.740319 0.719424 878\n", "\n", "avg / total 0.878162 0.914579 0.895613 21751\n", "\n", "Classification report for turbine 3, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 56\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.095238 0.027778 0.043011 72\n", " 13 0.000000 0.000000 0.000000 86\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.200000 0.009259 0.017699 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.957755 0.989406 0.973323 19729\n", " 20 0.846032 0.891304 0.868078 1196\n", "\n", "avg / total 0.916549 0.946577 0.930804 21751\n", "\n", "Classification report for turbine 3, turbine category 10\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995210 0.992978 0.994093 20507\n", " 20.0 0.893219 0.921222 0.907004 1244\n", "\n", "avg / total 0.989377 0.988874 0.989112 21751\n", "\n", "Classification report for turbine 3, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.981741 0.989023 0.985369 20224\n", " 20 0.881026 0.919643 0.899921 1232\n", "\n", "avg / total 0.962722 0.971679 0.967165 21751\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 3, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.995116 0.993514 0.994314 20507\n", " 20 0.895850 0.919614 0.907576 1244\n", "\n", "avg / total 0.989438 0.989288 0.989354 21751\n", "\n", "Classification report for turbine 3, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.981538 0.993573 0.987518 20226\n", " 20 0.877056 0.918786 0.897436 1219\n", "\n", "avg / total 0.961873 0.975403 0.968577 21751\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 3, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990495 0.996760 0.993618 19446\n", " 20.0 0.974241 0.918872 0.945747 2305\n", "\n", "avg / total 0.988773 0.988506 0.988545 21751\n", "\n", "Classification report for turbine 3, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990443 0.996555 0.993489 19446\n", " 20.0 0.973161 0.912364 0.941782 2305\n", "\n", "avg / total 0.988611 0.987633 0.988010 21751\n", "\n", "Classification report for turbine 3, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.990397 0.997120 0.993747 19446\n", " 20 0.974229 0.918438 0.945511 2305\n", "\n", "avg / total 0.988684 0.988782 0.988636 21751\n", "\n", "Classification report for turbine 3, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990485 0.995732 0.993102 19446\n", " 20.0 0.973672 0.914534 0.943177 2305\n", "\n", "avg / total 0.988704 0.987127 0.987811 21751\n", "\n", "Classification report for turbine 3, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 57\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.946823 0.996881 0.971207 18593\n", " 20 0.944726 0.916853 0.930581 2237\n", "\n", "avg / total 0.906516 0.946439 0.925905 21751\n", "\n", "Classification report for turbine 3, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 14\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.984463 0.996534 0.990461 19329\n", " 20 0.890826 0.916038 0.903256 2120\n", "\n", "avg / total 0.961668 0.974852 0.968210 21751\n", "\n", "Classification report for turbine 3, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.250000 0.007194 0.013986 139\n", " 11 0.034483 0.004630 0.008163 216\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 201\n", " 14 0.035294 0.037500 0.036364 160\n", " 15 0.037736 0.013889 0.020305 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.090909 0.027778 0.042553 144\n", " 19 0.923025 0.978101 0.949765 18083\n", " 20 0.908126 0.910648 0.909385 2160\n", "\n", "avg / total 0.860603 0.904234 0.880762 21751\n", "\n", "Classification report for turbine 3, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.022727 0.009346 0.013245 107\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.966923 0.994942 0.980732 18980\n", " 20 0.879044 0.897989 0.888415 2088\n", "\n", "avg / total 0.928236 0.954439 0.941140 21751\n", "\n", "Classification report for turbine 3, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976571 0.989409 0.982948 19168\n", " 20 0.953924 0.578350 0.720109 2291\n", "\n", "avg / total 0.961075 0.932831 0.942068 21751\n", "\n", "Classification report for turbine 3, turbine category 9" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 20\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 130\n", " 14 0.006494 0.009259 0.007634 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.020408 0.009259 0.012739 108\n", " 19 0.943240 0.977477 0.960053 18514\n", " 20 0.952312 0.875166 0.912111 2259\n", "\n", "avg / total 0.901904 0.922992 0.912008 21751\n", "\n", "Classification report for turbine 3, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990194 0.996966 0.993568 19446\n", " 20.0 0.974182 0.916703 0.944569 2305\n", "\n", "avg / total 0.988497 0.988460 0.988376 21751\n", "\n", "Classification report for turbine 3, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.166667 0.285714 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976079 0.994624 0.985264 19159\n", " 20 0.967308 0.875544 0.919141 2298\n", "\n", "avg / total 0.962235 0.968645 0.965040 21751\n", "\n", "Classification report for turbine 3, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.990397 0.997120 0.993747 19446\n", " 20 0.974229 0.918438 0.945511 2305\n", "\n", "avg / total 0.988684 0.988782 0.988636 21751\n", "\n", "Classification report for turbine 3, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 46\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 69\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.970624 0.996956 0.983614 19057\n", " 20 0.950805 0.917073 0.933634 2255\n", "\n", "avg / total 0.948979 0.968553 0.958580 21751\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 4, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 50\n", " 11 0.026667 0.055556 0.036036 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.016393 0.055556 0.025316 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.970936 0.891761 0.929666 17794\n", " 20 0.893741 0.879792 0.886712 3652\n", "\n", "avg / total 0.943000 0.876102 0.908141 21784\n", "\n", "Classification report for turbine 4, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 14\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.943447 0.985706 0.964114 17280\n", " 20 0.888472 0.913955 0.901033 3626\n", "\n", "avg / total 0.896271 0.934034 0.914756 21784\n", "\n", "Classification report for turbine 4, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.982331 0.985442 0.983884 17997\n", " 20 0.929759 0.915764 0.922709 3787\n", "\n", "avg / total 0.973191 0.973329 0.973249 21784\n", "\n", "Classification report for turbine 4, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 5\n", " 19.0 0.980844 0.913517 0.945984 17992\n", " 20.0 0.929132 0.907050 0.917958 3787\n", "\n", "avg / total 0.971629 0.912183 0.940895 21784\n", "\n", "Classification report for turbine 4, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.982331 0.985442 0.983884 17997\n", " 20 0.929759 0.915764 0.922709 3787\n", "\n", "avg / total 0.973191 0.973329 0.973249 21784\n", "\n", "Classification report for turbine 4, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.008475 0.013889 0.010526 72\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 173\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.930952 0.977437 0.953628 17063\n", " 20 0.821199 0.876190 0.847804 3360\n", "\n", "avg / total 0.855888 0.900799 0.877760 21784\n", "\n", "Classification report for turbine 4, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.200185 0.435484 0.274286 496\n", " 11 0.030488 0.011136 0.016313 449\n", " 12 0.005988 0.002703 0.003724 370\n", " 13 0.000000 0.000000 0.000000 307\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.044444 0.007937 0.013468 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 243\n", " 19 0.876744 0.962139 0.917459 16006\n", " 20 0.725279 0.648881 0.684956 2905\n", "\n", "avg / total 0.746717 0.803755 0.772254 21784\n", "\n", "Classification report for turbine 4, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.955688 0.986168 0.970689 17496\n", " 20 0.906702 0.915539 0.911099 3694\n", "\n", "avg / total 0.921322 0.947301 0.934116 21784\n", "\n", "Classification report for turbine 4, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.323096 0.254106 0.284478 1035\n", " 11 0.024390 0.007911 0.011947 632\n", " 12 0.008547 0.002049 0.003306 488\n", " 13 0.023256 0.008547 0.012500 468\n", " 14 0.024631 0.011236 0.015432 445\n", " 15 0.010989 0.002315 0.003824 432\n", " 16 0.080460 0.016204 0.026975 432\n", " 17 0.037736 0.004630 0.008247 432\n", " 18 0.019802 0.004630 0.007505 432\n", " 19 0.811702 0.934150 0.868632 14776\n", " 20 0.545300 0.723779 0.621989 2212\n", "\n", "avg / total 0.626153 0.720437 0.667792 21784\n", "\n", "Classification report for turbine 4, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.166667 0.004878 0.009479 205\n", " 11 0.000000 0.000000 0.000000 124\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.949695 0.984889 0.966972 17405\n", " 20 0.798865 0.897086 0.845131 3294\n", "\n", "avg / total 0.881155 0.922604 0.900475 21784\n", "\n", "Classification report for turbine 4, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.982331 0.985442 0.983884 17997\n", " 20 0.929759 0.915764 0.922709 3787\n", "\n", "avg / total 0.973191 0.973329 0.973249 21784\n", "\n", "Classification report for turbine 4, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.035088 0.067797 57\n", " 11 0.170732 0.021605 0.038356 324\n", " 12 0.000000 0.000000 0.000000 324\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.027778 0.003086 0.005556 324\n", " 15 0.131868 0.037037 0.057831 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 319\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.864608 0.974019 0.916058 15781\n", " 20 0.841480 0.917820 0.877994 3395\n", "\n", "avg / total 0.765022 0.849660 0.802145 21784\n", "\n", "Classification report for turbine 4, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.982331 0.985442 0.983884 17997\n", " 20 0.929759 0.915764 0.922709 3787\n", "\n", "avg / total 0.973191 0.973329 0.973249 21784\n", "\n", "Classification report for turbine 4, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.982331 0.985442 0.983884 17997\n", " 20 0.929759 0.915764 0.922709 3787\n", "\n", "avg / total 0.973191 0.973329 0.973249 21784\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 4, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.006711 0.037037 0.011364 27\n", " 11 0.076923 0.012422 0.021390 161\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.916208 0.967184 0.941006 14109\n", " 20 0.931769 0.937953 0.934851 6479\n", "\n", "avg / total 0.871111 0.905527 0.887684 21784\n", "\n", "Classification report for turbine 4, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.982755 0.972614 0.977658 15117\n", " 20.0 0.946038 0.959802 0.952870 6667\n", "\n", "avg / total 0.971518 0.968693 0.970072 21784\n", "\n", "Classification report for turbine 4, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.981912 0.976781 0.979340 15117\n", " 20 0.947969 0.959202 0.953553 6667\n", "\n", "avg / total 0.971524 0.971401 0.971448 21784\n", "\n", "Classification report for turbine 4, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 28\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 31\n", " 19 0.962797 0.971820 0.967287 14833\n", " 20 0.939641 0.883886 0.910911 6640\n", "\n", "avg / total 0.941994 0.931142 0.936294 21784\n", "\n", "Classification report for turbine 4, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.981912 0.976781 0.979340 15117\n", " 20 0.947969 0.959202 0.953553 6667\n", "\n", "avg / total 0.971524 0.971401 0.971448 21784\n", "\n", "Classification report for turbine 4, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.982520 0.970431 0.976438 15117\n", " 20.0 0.947589 0.949153 0.948370 6667\n", "\n", "avg / total 0.971829 0.963918 0.967848 21784\n", "\n", "Classification report for turbine 4, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.006494 0.176471 0.012526 17\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962769 0.955177 0.958958 14836\n", " 20 0.894408 0.878363 0.886313 6355\n", "\n", "avg / total 0.916623 0.906904 0.911671 21784\n", "\n", "Classification report for turbine 4, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.982183 0.973672 0.977909 15117\n", " 20.0 0.946971 0.958902 0.952899 6667\n", "\n", "avg / total 0.971407 0.969152 0.970255 21784\n", "\n", "Classification report for turbine 4, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984430 0.924324 0.953430 15117\n", " 20.0 0.936249 0.645418 0.764095 6667\n", "\n", "avg / total 0.969684 0.838964 0.895484 21784\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 4, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.920000 0.004457 0.008872 5160\n", " 11 0.076923 0.004525 0.008547 221\n", " 12 0.000000 0.000000 0.000000 190\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.886925 0.980457 0.931349 13560\n", " 20 0.205917 0.880483 0.333775 1573\n", "\n", "avg / total 0.785659 0.674991 0.606031 21784\n", "\n", "Classification report for turbine 4, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.981912 0.976781 0.979340 15117\n", " 20 0.947969 0.959202 0.953553 6667\n", "\n", "avg / total 0.971524 0.971401 0.971448 21784\n", "\n", "Classification report for turbine 4, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.013333 0.027778 0.018018 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.969560 0.963706 0.966624 14906\n", " 20 0.932349 0.939997 0.936157 6583\n", "\n", "avg / total 0.945207 0.943537 0.944357 21784\n", "\n", "Classification report for turbine 4, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.981912 0.976781 0.979340 15117\n", " 20 0.947969 0.959202 0.953553 6667\n", "\n", "avg / total 0.971524 0.971401 0.971448 21784\n", "\n", "Classification report for turbine 4, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.981912 0.976781 0.979340 15117\n", " 20 0.947969 0.959202 0.953553 6667\n", "\n", "avg / total 0.971524 0.971401 0.971448 21784\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 4, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 235\n", " 11 0.046358 0.064815 0.054054 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.004785 0.009259 0.006309 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.023810 0.009259 0.013333 108\n", " 19 0.950139 0.964856 0.957441 17044\n", " 20 0.884264 0.904422 0.894229 3641\n", "\n", "avg / total 0.891566 0.906491 0.898938 21784\n", "\n", "Classification report for turbine 4, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 1.000000 0.083333 0.153846 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974672 0.989927 0.982240 17571\n", " 20 0.943083 0.942362 0.942722 3921\n", "\n", "avg / total 0.957574 0.968234 0.962215 21784\n", "\n", "Classification report for turbine 4, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.987015 0.991232 0.989119 17791\n", " 20 0.960174 0.941898 0.950948 3993\n", "\n", "avg / total 0.982095 0.982189 0.982122 21784\n", "\n", "Classification report for turbine 4, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.972161 0.988359 0.980194 17525\n", " 20 0.955197 0.940509 0.947796 3967\n", "\n", "avg / total 0.956041 0.966397 0.961155 21784\n", "\n", "Classification report for turbine 4, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.987015 0.991232 0.989119 17791\n", " 20 0.960174 0.941898 0.950948 3993\n", "\n", "avg / total 0.982095 0.982189 0.982122 21784\n", "\n", "Classification report for turbine 4, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.200000 0.068966 0.102564 29\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.955584 0.988556 0.971791 17215\n", " 20 0.954557 0.937941 0.946176 3964\n", "\n", "avg / total 0.929124 0.951983 0.940277 21784\n", "\n", "Classification report for turbine 4, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.211457 0.934375 0.344867 320\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 93\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.958964 0.945724 0.952298 16803\n", " 20 0.932199 0.888517 0.909834 3884\n", "\n", "avg / total 0.909007 0.901625 0.901837 21784\n", "\n", "Classification report for turbine 4, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.500000 0.003876 0.007692 258\n", " 11 0.000000 0.000000 0.000000 322\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 280\n", " 14 0.000000 0.000000 0.000000 248\n", " 15 0.000000 0.000000 0.000000 201\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.890351 0.990037 0.937552 16059\n", " 20 0.884095 0.946175 0.914082 3660\n", "\n", "avg / total 0.810822 0.888863 0.844825 21784\n", "\n", "Classification report for turbine 4, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 91\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976360 0.982904 0.979621 17606\n", " 20 0.908317 0.871019 0.889277 3799\n", "\n", "avg / total 0.947507 0.946291 0.946822 21784\n", "\n", "Classification report for turbine 4, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.037480 0.566929 0.070312 127\n", " 11 0.000000 0.000000 0.000000 124\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.948098 0.981140 0.964336 17073\n", " 20 0.852204 0.459233 0.596842 3704\n", "\n", "avg / total 0.888184 0.850349 0.857682 21784\n", "\n", "Classification report for turbine 4, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.987015 0.991232 0.989119 17791\n", " 20 0.960174 0.941898 0.950948 3993\n", "\n", "avg / total 0.982095 0.982189 0.982122 21784\n", "\n", "Classification report for turbine 4, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.955174 0.986867 0.970762 17209\n", " 20 0.956279 0.943567 0.949880 3987\n", "\n", "avg / total 0.929594 0.952304 0.940737 21784\n", "\n", "Classification report for turbine 4, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.987015 0.991232 0.989119 17791\n", " 20 0.960174 0.941898 0.950948 3993\n", "\n", "avg / total 0.982095 0.982189 0.982122 21784\n", "\n", "Classification report for turbine 4, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.987015 0.991232 0.989119 17791\n", " 20 0.960174 0.941898 0.950948 3993\n", "\n", "avg / total 0.982095 0.982189 0.982122 21784\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 4, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994109 0.990205 0.992153 20622\n", " 20.0 0.885246 0.882960 0.884102 1162\n", "\n", "avg / total 0.988302 0.984484 0.986389 21784\n", "\n", "Classification report for turbine 4, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994318 0.992920 0.993619 20622\n", " 20.0 0.881013 0.898451 0.889646 1162\n", "\n", "avg / total 0.988275 0.987881 0.988073 21784\n", "\n", "Classification report for turbine 4, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.994177 0.993551 0.993864 20622\n", " 20 0.886809 0.896730 0.891742 1162\n", "\n", "avg / total 0.988450 0.988386 0.988416 21784\n", "\n", "Classification report for turbine 4, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.500000 0.000352 0.000704 2838\n", " 11 0.000000 0.000000 0.000000 248\n", " 12 0.000000 0.000000 0.000000 194\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 168\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.812394 0.991641 0.893113 16869\n", " 20 0.543126 0.894515 0.675877 711\n", "\n", "avg / total 0.711964 0.797145 0.713756 21784\n", "\n", "Classification report for turbine 4, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 228\n", " 11 0.000000 0.000000 0.000000 80\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 58\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.983260 0.993626 0.988415 20394\n", " 20 0.566809 0.862694 0.684129 772\n", "\n", "avg / total 0.940607 0.960797 0.949591 21784\n", "\n", "Classification report for turbine 4, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994504 0.991611 0.993056 20622\n", " 20.0 0.871752 0.895009 0.883227 1162\n", "\n", "avg / total 0.987957 0.986458 0.987197 21784\n", "\n", "Classification report for turbine 4, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.068966 0.037736 0.048780 53\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.333333 0.027778 0.051282 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980283 0.990409 0.985320 20331\n", " 20 0.837128 0.859712 0.848270 1112\n", "\n", "avg / total 0.958349 0.968371 0.963104 21784\n", "\n", "Classification report for turbine 4, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994441 0.988992 0.991709 20622\n", " 20.0 0.878657 0.878657 0.878657 1162\n", "\n", "avg / total 0.988265 0.983107 0.985679 21784\n", "\n", "Classification report for turbine 4, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.954258 0.990804 0.972188 19792\n", " 20 0.831204 0.819245 0.825181 1112\n", "\n", "avg / total 0.909428 0.942022 0.925410 21784\n", "\n", "Classification report for turbine 4, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.173611 0.303030 0.220751 165\n", " 11 0.000000 0.000000 0.000000 179\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.925785 0.991820 0.957666 19193\n", " 20 0.750000 0.671733 0.708712 987\n", "\n", "avg / total 0.850968 0.906583 0.877543 21784\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 4, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.994177 0.993551 0.993864 20622\n", " 20 0.886809 0.896730 0.891742 1162\n", "\n", "avg / total 0.988450 0.988386 0.988416 21784\n", "\n", "Classification report for turbine 4, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.955212 0.989999 0.972295 19798\n", " 20 0.831667 0.904805 0.866696 1103\n", "\n", "avg / total 0.910238 0.945556 0.927536 21784\n", "\n", "Classification report for turbine 4, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.994177 0.993551 0.993864 20622\n", " 20 0.886809 0.896730 0.891742 1162\n", "\n", "avg / total 0.988450 0.988386 0.988416 21784\n", "\n", "Classification report for turbine 4, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 50\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 77\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962783 0.993590 0.977944 19970\n", " 20 0.817021 0.893023 0.853333 1075\n", "\n", "avg / total 0.922929 0.954921 0.938619 21784\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 4, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996410 0.995285 0.995847 20360\n", " 20.0 0.955096 0.941011 0.948001 1424\n", "\n", "avg / total 0.993710 0.991737 0.992720 21784\n", "\n", "Classification report for turbine 4, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.996367 0.996709 0.996538 20360\n", " 20 0.952717 0.948034 0.950370 1424\n", "\n", "avg / total 0.993513 0.993527 0.993520 21784\n", "\n", "Classification report for turbine 4, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.996416 0.996807 0.996612 20360\n", " 20 0.954096 0.948736 0.951408 1424\n", "\n", "avg / total 0.993650 0.993665 0.993657 21784\n", "\n", "Classification report for turbine 4, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996467 0.983644 0.990014 20360\n", " 20.0 0.947005 0.865871 0.904622 1424\n", "\n", "avg / total 0.993234 0.975946 0.984432 21784\n", "\n", "Classification report for turbine 4, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 131\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.955005 0.996617 0.975367 19508\n", " 20 0.851641 0.932084 0.890048 1281\n", "\n", "avg / total 0.905307 0.947301 0.925800 21784\n", "\n", "Classification report for turbine 4, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996413 0.995923 0.996168 20360\n", " 20.0 0.950635 0.946629 0.948628 1424\n", "\n", "avg / total 0.993420 0.992701 0.993060 21784\n", "\n", "Classification report for turbine 4, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.942442 0.993409 0.967255 19268\n", " 20 0.905087 0.884929 0.894895 1347\n", "\n", "avg / total 0.889558 0.933391 0.910874 21784\n", "\n", "Classification report for turbine 4, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996460 0.995432 0.995946 20360\n", " 20.0 0.954642 0.945927 0.950265 1424\n", "\n", "avg / total 0.993726 0.992196 0.992960 21784\n", "\n", "Classification report for turbine 4, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996262 0.994892 0.995577 20360\n", " 20.0 0.956553 0.927669 0.941889 1424\n", "\n", "avg / total 0.993666 0.990498 0.992067 21784\n", "\n", "Classification report for turbine 4, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.769737 0.101739 0.179724 1150\n", " 11 0.000000 0.000000 0.000000 552\n", " 12 0.000000 0.000000 0.000000 540\n", " 13 0.000000 0.000000 0.000000 532\n", " 14 0.043478 0.001984 0.003795 504\n", " 15 0.312500 0.009921 0.019231 504\n", " 16 0.000000 0.000000 0.000000 476\n", " 17 0.000000 0.000000 0.000000 468\n", " 18 0.000000 0.000000 0.000000 436\n", " 19 0.799507 0.991554 0.885234 16340\n", " 20 0.183607 0.794326 0.298269 282\n", "\n", "avg / total 0.650951 0.759686 0.677889 21784\n", "\n", "Classification report for turbine 4, turbine category 10\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 19 0.996416 0.996807 0.996612 20360\n", " 20 0.954096 0.948736 0.951408 1424\n", "\n", "avg / total 0.993650 0.993665 0.993657 21784\n", "\n", "Classification report for turbine 4, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 30\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.090909 0.005556 0.010471 180\n", " 18 0.000000 0.000000 0.000000 176\n", " 19 0.939807 0.994842 0.966542 19194\n", " 20 0.746377 0.916370 0.822684 1124\n", "\n", "avg / total 0.867331 0.923889 0.894160 21784\n", "\n", "Classification report for turbine 4, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.996416 0.996807 0.996612 20360\n", " 20 0.954096 0.948736 0.951408 1424\n", "\n", "avg / total 0.993650 0.993665 0.993657 21784\n", "\n", "Classification report for turbine 4, turbine category 13\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996415 0.996464 0.996439 20360\n", " 20.0 0.954096 0.948736 0.951408 1424\n", "\n", "avg / total 0.993648 0.993344 0.993496 21784\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 5, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 28\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 8\n", " 19 0.957142 0.994915 0.975663 18878\n", " 20 0.920455 0.650000 0.761939 1620\n", "\n", "avg / total 0.941021 0.954248 0.945488 20786\n", "\n", "Classification report for turbine 5, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.009434 0.016949 0.012121 59\n", " 11 0.021978 0.033333 0.026490 180\n", " 12 0.009852 0.011111 0.010444 180\n", " 13 0.027778 0.005556 0.009259 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.017391 0.022222 0.019512 180\n", " 16 0.011338 0.027778 0.016103 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.897974 0.927769 0.912628 17721\n", " 20 0.878222 0.630907 0.734300 1566\n", "\n", "avg / total 0.832519 0.839411 0.834121 20786\n", "\n", "Classification report for turbine 5, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.970630 0.995874 0.983090 19148\n", " 20 0.930702 0.647741 0.763859 1638\n", "\n", "avg / total 0.967484 0.968440 0.965814 20786\n", "\n", "Classification report for turbine 5, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 21\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.956072 0.995812 0.975538 18862\n", " 20 0.913158 0.644582 0.755717 1615\n", "\n", "avg / total 0.938525 0.953719 0.943956 20786\n", "\n", "Classification report for turbine 5, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.970413 0.988354 0.979301 19148\n", " 20.0 0.931095 0.643468 0.761011 1638\n", "\n", "avg / total 0.967315 0.961176 0.962099 20786\n", "\n", "Classification report for turbine 5, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.970630 0.995874 0.983090 19148\n", " 20 0.930702 0.647741 0.763859 1638\n", "\n", "avg / total 0.967484 0.968440 0.965814 20786\n", "\n", "Classification report for turbine 5, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1941\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.000000 0.000000 0.000000 265\n", " 13 0.000000 0.000000 0.000000 273\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.016667 0.004630 0.007246 216\n", " 16 0.000000 0.000000 0.000000 185\n", " 17 0.000000 0.000000 0.000000 163\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.811031 0.968260 0.882698 16068\n", " 20 0.814198 0.873942 0.843013 1063\n", "\n", "avg / total 0.668755 0.793226 0.725531 20786\n", "\n", "Classification report for turbine 5, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.111111 0.035714 0.054054 84\n", " 11 0.000000 0.000000 0.000000 103\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 61\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.948131 0.964434 0.956213 18726\n", " 20 0.838028 0.624672 0.715789 1524\n", "\n", "avg / total 0.916058 0.914798 0.914147 20786\n", "\n", "Classification report for turbine 5, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.135029 0.110048 0.121265 627\n", " 11 0.000000 0.000000 0.000000 724\n", " 12 0.074074 0.003515 0.006711 569\n", " 13 0.038462 0.005703 0.009934 526\n", " 14 0.075000 0.006024 0.011152 498\n", " 15 0.000000 0.000000 0.000000 468\n", " 16 0.000000 0.000000 0.000000 452\n", " 17 0.111111 0.002315 0.004535 432\n", " 18 0.000000 0.000000 0.000000 397\n", " 19 0.757632 0.984785 0.856402 14919\n", " 20 0.621583 0.367973 0.462279 1174\n", "\n", "avg / total 0.590072 0.731358 0.645240 20786\n", "\n", "Classification report for turbine 5, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.310225 0.407281 0.352189 879\n", " 11 0.016667 0.001815 0.003273 551\n", " 12 0.114754 0.014374 0.025547 487\n", " 13 0.000000 0.000000 0.000000 468\n", " 14 0.034384 0.025641 0.029376 468\n", " 15 0.000000 0.000000 0.000000 437\n", " 16 0.000000 0.000000 0.000000 360\n", " 17 0.000000 0.000000 0.000000 344\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.810723 0.945351 0.872877 15627\n", " 20 0.338552 0.197263 0.249280 877\n", "\n", "avg / total 0.640813 0.737227 0.682990 20786\n", "\n", "Classification report for turbine 5, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.970630 0.995874 0.983090 19148\n", " 20 0.930702 0.647741 0.763859 1638\n", "\n", "avg / total 0.967484 0.968440 0.965814 20786\n", "\n", "Classification report for turbine 5, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 34\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 174\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.903017 0.994667 0.946629 17814\n", " 20 0.904470 0.654822 0.759661 1576\n", "\n", "avg / total 0.842480 0.902098 0.868877 20786\n", "\n", "Classification report for turbine 5, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.970630 0.995874 0.983090 19148\n", " 20 0.930702 0.647741 0.763859 1638\n", "\n", "avg / total 0.967484 0.968440 0.965814 20786\n", "\n", "Classification report for turbine 5, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.970630 0.995874 0.983090 19148\n", " 20 0.930702 0.647741 0.763859 1638\n", "\n", "avg / total 0.967484 0.968440 0.965814 20786\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 5, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 40\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 56\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.966013 0.985506 0.975662 17593\n", " 20 0.906813 0.957510 0.931472 2683\n", "\n", "avg / total 0.934670 0.957712 0.946019 20786\n", "\n", "Classification report for turbine 5, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 118\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.083333 0.013889 0.023810 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.031250 0.006944 0.011364 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.924425 0.970852 0.947070 16845\n", " 20 0.886285 0.863721 0.874858 2671\n", "\n", "avg / total 0.863836 0.897912 0.880169 20786\n", "\n", "Classification report for turbine 5, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.993095 0.986176 0.989624 18085\n", " 20 0.911567 0.954091 0.932344 2701\n", "\n", "avg / total 0.982501 0.982007 0.982181 20786\n", "\n", "Classification report for turbine 5, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 697\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976929 0.982803 0.979857 17794\n", " 20 0.667850 0.937718 0.780104 2007\n", "\n", "avg / total 0.900791 0.931877 0.914137 20786\n", "\n", "Classification report for turbine 5, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993038 0.985900 0.989456 18085\n", " 20.0 0.907698 0.899297 0.903478 2701\n", "\n", "avg / total 0.981949 0.974646 0.978284 20786\n", "\n", "Classification report for turbine 5, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.993095 0.986176 0.989624 18085\n", " 20 0.911567 0.954091 0.932344 2701\n", "\n", "avg / total 0.982501 0.982007 0.982181 20786\n", "\n", "Classification report for turbine 5, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.011905 0.012658 0.012270 79\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.969388 0.976311 0.972837 17645\n", " 20 0.835169 0.945696 0.887002 2486\n", "\n", "avg / total 0.922834 0.941932 0.931962 20786\n", "\n", "Classification report for turbine 5, turbine category 7\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992749 0.984186 0.988449 18085\n", " 20.0 0.907202 0.937431 0.922068 2701\n", "\n", "avg / total 0.981633 0.978110 0.979823 20786\n", "\n", "Classification report for turbine 5, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.320988 0.447504 0.373832 581\n", " 11 0.029630 0.013746 0.018779 291\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.013699 0.003472 0.005540 288\n", " 14 0.000000 0.000000 0.000000 288\n", " 15 0.027778 0.010417 0.015152 288\n", " 16 0.021739 0.010417 0.014085 288\n", " 17 0.012579 0.006944 0.008949 288\n", " 18 0.000000 0.000000 0.000000 245\n", " 19 0.870002 0.919869 0.894241 15824\n", " 20 0.787282 0.830420 0.808276 2117\n", "\n", "avg / total 0.752936 0.797989 0.774408 20786\n", "\n", "Classification report for turbine 5, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.233096 0.388724 0.291435 1011\n", " 11 0.010526 0.001592 0.002766 628\n", " 12 0.041176 0.014141 0.021053 495\n", " 13 0.020548 0.007519 0.011009 399\n", " 14 0.026178 0.014085 0.018315 355\n", " 15 0.000000 0.000000 0.000000 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 324\n", " 18 0.000000 0.000000 0.000000 324\n", " 19 0.842781 0.955697 0.895694 14965\n", " 20 0.680940 0.495418 0.573550 1637\n", "\n", "avg / total 0.673870 0.746753 0.705314 20786\n", "\n", "Classification report for turbine 5, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.993095 0.986176 0.989624 18085\n", " 20 0.911567 0.954091 0.932344 2701\n", "\n", "avg / total 0.982501 0.982007 0.982181 20786\n", "\n", "Classification report for turbine 5, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.052632 0.013889 0.021978 72\n", " 19 0.961306 0.980803 0.970957 17503\n", " 20 0.908131 0.957684 0.932249 2694\n", "\n", "avg / total 0.927356 0.950063 0.938503 20786\n", "\n", "Classification report for turbine 5, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.993095 0.986176 0.989624 18085\n", " 20 0.911567 0.954091 0.932344 2701\n", "\n", "avg / total 0.982501 0.982007 0.982181 20786\n", "\n", "Classification report for turbine 5, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.993095 0.986176 0.989624 18085\n", " 20 0.911567 0.954091 0.932344 2701\n", "\n", "avg / total 0.982501 0.982007 0.982181 20786\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 5, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 107\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.200000 0.008065 0.015504 124\n", " 14 0.000000 0.000000 0.000000 91\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.953803 0.995513 0.974212 17608\n", " 20 0.917053 0.898515 0.907689 2424\n", "\n", "avg / total 0.916112 0.948138 0.931208 20786\n", "\n", "Classification report for turbine 5, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.487805 0.555556 0.519481 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973117 0.988629 0.980812 17941\n", " 20 0.968031 0.892338 0.928644 2545\n", "\n", "avg / total 0.959294 0.963533 0.961168 20786\n", "\n", "Classification report for turbine 5, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.986158 0.997255 0.991676 18217\n", " 20 0.978849 0.900740 0.938171 2569\n", "\n", "avg / total 0.985255 0.985327 0.985063 20786\n", "\n", "Classification report for turbine 5, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.970475 0.995427 0.982792 17930\n", " 20 0.975899 0.900859 0.936878 2562\n", "\n", "avg / total 0.957417 0.969691 0.963232 20786\n", "\n", "Classification report for turbine 5, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.986157 0.997200 0.991648 18217\n", " 20 0.978436 0.900740 0.937981 2569\n", "\n", "avg / total 0.985203 0.985279 0.985015 20786\n", "\n", "Classification report for turbine 5, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.986158 0.997255 0.991676 18217\n", " 20 0.978849 0.900740 0.938171 2569\n", "\n", "avg / total 0.985255 0.985327 0.985063 20786\n", "\n", "Classification report for turbine 5, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.051020 0.121951 0.071942 41\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 78\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.946514 0.990509 0.968012 17491\n", " 20 0.965577 0.876582 0.918930 2528\n", "\n", "avg / total 0.914007 0.940344 0.926465 20786\n", "\n", "Classification report for turbine 5, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985775 0.996651 0.991183 18217\n", " 20.0 0.977615 0.884002 0.928455 2569\n", "\n", "avg / total 0.984766 0.982729 0.983430 20786\n", "\n", "Classification report for turbine 5, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.084255 0.568966 0.146775 174\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.010000 0.006944 0.008197 144\n", " 13 0.054054 0.013889 0.022099 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.926412 0.964139 0.944899 17066\n", " 20 0.953824 0.552214 0.699471 2394\n", "\n", "avg / total 0.871619 0.860098 0.857793 20786\n", "\n", "Classification report for turbine 5, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.165649 0.594521 0.259104 365\n", " 11 0.000000 0.000000 0.000000 216\n", " 12 0.014085 0.004630 0.006969 216\n", " 13 0.000000 0.000000 0.000000 210\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 149\n", " 19 0.907190 0.953987 0.930000 16691\n", " 20 0.869657 0.559261 0.680746 2219\n", "\n", "avg / total 0.824362 0.836236 0.824078 20786\n", "\n", "Classification report for turbine 5, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.986158 0.997255 0.991676 18217\n", " 20 0.978849 0.900740 0.938171 2569\n", "\n", "avg / total 0.985255 0.985327 0.985063 20786\n", "\n", "Classification report for turbine 5, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.954734 0.992967 0.973475 17630\n", " 20 0.974327 0.901480 0.936489 2568\n", "\n", "avg / total 0.930147 0.953575 0.941368 20786\n", "\n", "Classification report for turbine 5, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.986158 0.997255 0.991676 18217\n", " 20 0.978849 0.900740 0.938171 2569\n", "\n", "avg / total 0.985255 0.985327 0.985063 20786\n", "\n", "Classification report for turbine 5, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.986158 0.997255 0.991676 18217\n", " 20 0.978849 0.900740 0.938171 2569\n", "\n", "avg / total 0.985255 0.985327 0.985063 20786\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 5, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988696 0.995883 0.992276 19673\n", " 20.0 0.961581 0.787062 0.865613 1113\n", "\n", "avg / total 0.987244 0.984701 0.985494 20786\n", "\n", "Classification report for turbine 5, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.011905 0.040000 0.018349 25\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974192 0.989576 0.981824 19378\n", " 20 0.942703 0.796347 0.863366 1095\n", "\n", "avg / total 0.957878 0.964543 0.960821 20786\n", "\n", "Classification report for turbine 5, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.988774 0.998424 0.993576 19673\n", " 20 0.966341 0.799641 0.875123 1113\n", "\n", "avg / total 0.987573 0.987780 0.987233 20786\n", "\n", "Classification report for turbine 5, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975558 0.997218 0.986269 19412\n", " 20 0.932297 0.778499 0.848485 1079\n", "\n", "avg / total 0.959467 0.971712 0.965120 20786\n", "\n", "Classification report for turbine 5, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988824 0.998424 0.993601 19673\n", " 20.0 0.966341 0.799641 0.875123 1113\n", "\n", "avg / total 0.987620 0.987780 0.987257 20786\n", "\n", "Classification report for turbine 5, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.988774 0.998424 0.993576 19673\n", " 20 0.966341 0.799641 0.875123 1113\n", "\n", "avg / total 0.987573 0.987780 0.987233 20786\n", "\n", "Classification report for turbine 5, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.031746 0.011628 0.017021 172\n", " 11 0.000000 0.000000 0.000000 311\n", " 12 0.000000 0.000000 0.000000 187\n", " 13 0.000000 0.000000 0.000000 167\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 112\n", " 19 0.921142 0.993016 0.955729 18327\n", " 20 0.773303 0.719486 0.745424 934\n", "\n", "avg / total 0.847180 0.907967 0.876302 20786\n", "\n", "Classification report for turbine 5, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988720 0.998068 0.993372 19673\n", " 20.0 0.964130 0.796945 0.872602 1113\n", "\n", "avg / total 0.987404 0.987299 0.986906 20786\n", "\n", "Classification report for turbine 5, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.228412 0.181015 0.201970 453\n", " 11 0.028169 0.003067 0.005533 652\n", " 12 0.026316 0.001927 0.003591 519\n", " 13 0.033333 0.002137 0.004016 468\n", " 14 0.031746 0.004630 0.008081 432\n", " 15 0.142857 0.009828 0.018391 407\n", " 16 0.000000 0.000000 0.000000 396\n", " 17 0.055556 0.002747 0.005236 364\n", " 18 0.062500 0.003012 0.005747 332\n", " 19 0.800369 0.981900 0.881890 15912\n", " 20 0.777244 0.569918 0.657627 851\n", "\n", "avg / total 0.657213 0.779515 0.707491 20786\n", "\n", "Classification report for turbine 5, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.200737 0.346032 0.254079 315\n", " 11 0.046512 0.012500 0.019704 320\n", " 12 0.000000 0.000000 0.000000 234\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 182\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.898322 0.972141 0.933775 17840\n", " 20 0.895833 0.538060 0.672313 959\n", "\n", "avg / total 0.816092 0.864620 0.836603 20786\n", "\n", "Classification report for turbine 5, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.988774 0.998424 0.993576 19673\n", " 20 0.966341 0.799641 0.875123 1113\n", "\n", "avg / total 0.987573 0.987780 0.987233 20786\n", "\n", "Classification report for turbine 5, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.932056 0.994713 0.962366 18535\n", " 20 0.937701 0.810585 0.869522 1077\n", "\n", "avg / total 0.879706 0.928991 0.903200 20786\n", "\n", "Classification report for turbine 5, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.988774 0.998424 0.993576 19673\n", " 20 0.966341 0.799641 0.875123 1113\n", "\n", "avg / total 0.987573 0.987780 0.987233 20786\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 5, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974176 0.998401 0.986139 19383\n", " 20 0.955483 0.797824 0.869565 1103\n", "\n", "avg / total 0.959124 0.973347 0.965721 20786\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 5, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 103\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973819 0.998445 0.985978 19931\n", " 20 0.913295 0.681034 0.780247 464\n", "\n", "avg / total 0.954150 0.972578 0.962839 20786\n", "\n", "Classification report for turbine 5, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992840 0.996407 0.994620 20317\n", " 20.0 0.904494 0.686567 0.780606 469\n", "\n", "avg / total 0.990846 0.989416 0.989791 20786\n", "\n", "Classification report for turbine 5, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.992711 0.998819 0.995756 20317\n", " 20 0.930233 0.682303 0.787208 469\n", "\n", "avg / total 0.991301 0.991677 0.991050 20786\n", "\n", "Classification report for turbine 5, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992608 0.997982 0.995288 20317\n", " 20.0 0.927711 0.656716 0.769039 469\n", "\n", "avg / total 0.991144 0.990282 0.990183 20786\n", "\n", "Classification report for turbine 5, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992710 0.998671 0.995682 20317\n", " 20.0 0.930233 0.682303 0.787208 469\n", "\n", "avg / total 0.991300 0.991533 0.990978 20786\n", "\n", "Classification report for turbine 5, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.992711 0.998819 0.995756 20317\n", " 20 0.930233 0.682303 0.787208 469\n", "\n", "avg / total 0.991301 0.991677 0.991050 20786\n", "\n", "Classification report for turbine 5, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 23\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.938340 0.996614 0.966599 19194\n", " 20 0.821875 0.630695 0.713704 417\n", "\n", "avg / total 0.882961 0.932936 0.906885 20786\n", "\n", "Classification report for turbine 5, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992711 0.998770 0.995731 20317\n", " 20.0 0.930029 0.680171 0.785714 469\n", "\n", "avg / total 0.991296 0.991581 0.990992 20786\n", "\n", "Classification report for turbine 5, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.776596 0.288538 0.420749 253\n", " 11 0.022727 0.005556 0.008929 180\n", " 12 0.031250 0.005587 0.009479 179\n", " 13 0.023256 0.006944 0.010695 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.042553 0.013889 0.020942 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.929678 0.982836 0.955518 18993\n", " 20 0.628866 0.577287 0.601974 317\n", "\n", "avg / total 0.869449 0.910613 0.887775 20786\n", "\n", "Classification report for turbine 5, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.978436 0.978533 0.978484 20031\n", " 20 0.876543 0.613391 0.721728 463\n", "\n", "avg / total 0.962421 0.956654 0.959020 20786\n", "\n", "Classification report for turbine 5, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.992711 0.998819 0.995756 20317\n", " 20 0.930233 0.682303 0.787208 469\n", "\n", "avg / total 0.991301 0.991677 0.991050 20786\n", "\n", "Classification report for turbine 5, turbine category 11\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993173 0.995324 0.994248 20317\n", " 20.0 0.917614 0.688699 0.786845 469\n", "\n", "avg / total 0.991468 0.988406 0.989568 20786\n", "\n", "Classification report for turbine 5, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.992711 0.998819 0.995756 20317\n", " 20 0.930233 0.682303 0.787208 469\n", "\n", "avg / total 0.991301 0.991677 0.991050 20786\n", "\n", "Classification report for turbine 5, turbine category 13\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992709 0.998573 0.995632 20317\n", " 20.0 0.930233 0.682303 0.787208 469\n", "\n", "avg / total 0.991300 0.991437 0.990930 20786\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 6, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.936713 0.992138 0.963629 19334\n", " 20 0.885971 0.476786 0.619948 2477\n", "\n", "avg / total 0.930950 0.933611 0.924598 21811\n", "\n", "Classification report for turbine 6, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 119\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.921233 0.993627 0.956061 18986\n", " 20 0.858215 0.473118 0.609971 2418\n", "\n", "avg / total 0.897056 0.917381 0.899853 21811\n", "\n", "Classification report for turbine 6, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.936713 0.992138 0.963629 19334\n", " 20 0.885971 0.476786 0.619948 2477\n", "\n", "avg / total 0.930950 0.933611 0.924598 21811\n", "\n", "Classification report for turbine 6, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.936713 0.992138 0.963629 19334\n", " 20 0.885971 0.476786 0.619948 2477\n", "\n", "avg / total 0.930950 0.933611 0.924598 21811\n", "\n", "Classification report for turbine 6, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 81\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.923674 0.992392 0.956801 19060\n", " 20 0.851463 0.476490 0.611036 2382\n", "\n", "avg / total 0.900161 0.919261 0.902853 21811\n", "\n", "Classification report for turbine 6, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.936713 0.992138 0.963629 19334\n", " 20 0.885971 0.476786 0.619948 2477\n", "\n", "avg / total 0.930950 0.933611 0.924598 21811\n", "\n", "Classification report for turbine 6, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 128\n", " 11 0.000000 0.000000 0.000000 159\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.907071 0.992254 0.947752 18720\n", " 20 0.619655 0.403320 0.488613 2048\n", "\n", "avg / total 0.836707 0.889505 0.859319 21811\n", "\n", "Classification report for turbine 6, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.936713 0.992138 0.963629 19334\n", " 20 0.885971 0.476786 0.619948 2477\n", "\n", "avg / total 0.930950 0.933611 0.924598 21811\n", "\n", "Classification report for turbine 6, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.216216 0.213333 0.214765 75\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.009615 0.009259 0.009434 108\n", " 19 0.900142 0.989482 0.942700 18539\n", " 20 0.782419 0.385341 0.516370 2333\n", "\n", "avg / total 0.849589 0.883041 0.857298 21811\n", "\n", "Classification report for turbine 6, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.756340 0.398837 0.522269 1720\n", " 11 0.005682 0.009317 0.007059 322\n", " 12 0.000000 0.000000 0.000000 221\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 201\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.015385 0.005556 0.008163 180\n", " 19 0.858952 0.928837 0.892528 17748\n", " 20 0.676033 0.616893 0.645110 663\n", "\n", "avg / total 0.779349 0.806199 0.787233 21811\n", "\n", "Classification report for turbine 6, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.923039 0.992023 0.956289 19054\n", " 20 0.878470 0.475051 0.616640 2465\n", "\n", "avg / total 0.905645 0.920315 0.905100 21811\n", "\n", "Classification report for turbine 6, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 50\n", " 11 0.009346 0.003472 0.005063 288\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.200000 0.006944 0.013423 288\n", " 15 0.000000 0.000000 0.000000 288\n", " 16 0.000000 0.000000 0.000000 284\n", " 17 0.000000 0.000000 0.000000 221\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.846000 0.981758 0.908837 17268\n", " 20 0.805231 0.501715 0.618230 2332\n", "\n", "avg / total 0.758646 0.831049 0.785881 21811\n", "\n", "Classification report for turbine 6, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.936713 0.992138 0.963629 19334\n", " 20 0.885971 0.476786 0.619948 2477\n", "\n", "avg / total 0.930950 0.933611 0.924598 21811\n", "\n", "Classification report for turbine 6, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.936713 0.992138 0.963629 19334\n", " 20 0.885971 0.476786 0.619948 2477\n", "\n", "avg / total 0.930950 0.933611 0.924598 21811\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 6, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.993188 0.989156 0.991168 20195\n", " 20 0.871025 0.915223 0.892577 1616\n", "\n", "avg / total 0.984137 0.983678 0.983863 21811\n", "\n", "Classification report for turbine 6, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993317 0.986234 0.989763 20195\n", " 20.0 0.869923 0.914604 0.891704 1616\n", "\n", "avg / total 0.984175 0.980927 0.982498 21811\n", "\n", "Classification report for turbine 6, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.993188 0.989156 0.991168 20195\n", " 20 0.871025 0.915223 0.892577 1616\n", "\n", "avg / total 0.984137 0.983678 0.983863 21811\n", "\n", "Classification report for turbine 6, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.993188 0.989156 0.991168 20195\n", " 20 0.871025 0.915223 0.892577 1616\n", "\n", "avg / total 0.984137 0.983678 0.983863 21811\n", "\n", "Classification report for turbine 6, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 40\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.979031 0.987193 0.983095 19911\n", " 20 0.841176 0.909669 0.874083 1572\n", "\n", "avg / total 0.954372 0.966760 0.960454 21811\n", "\n", "Classification report for turbine 6, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.993188 0.989156 0.991168 20195\n", " 20 0.871025 0.915223 0.892577 1616\n", "\n", "avg / total 0.984137 0.983678 0.983863 21811\n", "\n", "Classification report for turbine 6, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.250000 0.001745 0.003466 573\n", " 11 0.000000 0.000000 0.000000 250\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.111111 0.005128 0.009804 195\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 169\n", " 19 0.916170 0.982450 0.948154 18633\n", " 20 0.558824 0.900474 0.689655 1055\n", "\n", "avg / total 0.817270 0.882949 0.843539 21811\n", "\n", "Classification report for turbine 6, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.993188 0.989156 0.991168 20195\n", " 20 0.871025 0.915223 0.892577 1616\n", "\n", "avg / total 0.984137 0.983678 0.983863 21811\n", "\n", "Classification report for turbine 6, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.858896 0.193370 0.315671 724\n", " 11 0.000000 0.000000 0.000000 221\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 203\n", " 19 0.907596 0.981621 0.943159 18391\n", " 20 0.504693 0.716189 0.592122 976\n", "\n", "avg / total 0.816378 0.866168 0.832245 21811\n", "\n", "Classification report for turbine 6, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.003817 1.000000 0.007605 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.992378 0.968894 0.980496 20157\n", " 20 0.816944 0.396476 0.533861 1362\n", "\n", "avg / total 0.968138 0.920361 0.939480 21811\n", "\n", "Classification report for turbine 6, turbine category 10\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993188 0.989156 0.991168 20195\n", " 20.0 0.870949 0.914604 0.892243 1616\n", "\n", "avg / total 0.984132 0.983632 0.983839 21811\n", "\n", "Classification report for turbine 6, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.153846 0.125000 0.137931 16\n", " 11 0.009346 0.009259 0.009302 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.953664 0.963221 0.958419 19359\n", " 20 0.848042 0.923028 0.883948 1572\n", "\n", "avg / total 0.907734 0.921599 0.914530 21811\n", "\n", "Classification report for turbine 6, turbine category 12\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 19 0.993188 0.989156 0.991168 20195\n", " 20 0.871025 0.915223 0.892577 1616\n", "\n", "avg / total 0.984137 0.983678 0.983863 21811\n", "\n", "Classification report for turbine 6, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.993188 0.989156 0.991168 20195\n", " 20 0.871025 0.915223 0.892577 1616\n", "\n", "avg / total 0.984137 0.983678 0.983863 21811\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 6, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.957875 0.971653 0.964715 14252\n", " 20 0.945064 0.919434 0.932073 7559\n", "\n", "avg / total 0.953435 0.953556 0.953402 21811\n", "\n", "Classification report for turbine 6, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 54\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 101\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.938890 0.968031 0.953238 13951\n", " 20 0.888588 0.919624 0.903840 7129\n", "\n", "avg / total 0.890982 0.919765 0.905144 21811\n", "\n", "Classification report for turbine 6, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.957875 0.971653 0.964715 14252\n", " 20 0.945064 0.919434 0.932073 7559\n", "\n", "avg / total 0.953435 0.953556 0.953402 21811\n", "\n", "Classification report for turbine 6, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.942588 0.971276 0.956717 14030\n", " 20 0.936225 0.919594 0.927835 7487\n", "\n", "avg / total 0.927699 0.940443 0.933907 21811\n", "\n", "Classification report for turbine 6, turbine category 4\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.957629 0.970530 0.964037 14252\n", " 20.0 0.943935 0.913216 0.928322 7559\n", "\n", "avg / total 0.952884 0.950667 0.951659 21811\n", "\n", "Classification report for turbine 6, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.957875 0.971653 0.964715 14252\n", " 20 0.945064 0.919434 0.932073 7559\n", "\n", "avg / total 0.953435 0.953556 0.953402 21811\n", "\n", "Classification report for turbine 6, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.184771 0.421628 0.256942 823\n", " 11 0.029412 0.020833 0.024390 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.166667 0.017094 0.031008 117\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.022727 0.009259 0.013158 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 91\n", " 19 0.916394 0.968155 0.941564 13597\n", " 20 0.817722 0.675383 0.739768 6463\n", "\n", "avg / total 0.821760 0.819862 0.816266 21811\n", "\n", "Classification report for turbine 6, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.938646 0.971785 0.954928 13964\n", " 20 0.908077 0.920088 0.914043 7258\n", "\n", "avg / total 0.903126 0.928339 0.915535 21811\n", "\n", "Classification report for turbine 6, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.955633 0.964216 0.959905 14252\n", " 20.0 0.941039 0.745337 0.831832 7559\n", "\n", "avg / total 0.950575 0.888359 0.915519 21811\n", "\n", "Classification report for turbine 6, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.103565 0.330769 0.157740 650\n", " 11 0.000000 0.000000 0.000000 73\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 101\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.900354 0.964708 0.931420 13459\n", " 20 0.888100 0.669028 0.763154 6916\n", "\n", "avg / total 0.840277 0.817294 0.821443 21811\n", "\n", "Classification report for turbine 6, turbine category 10\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.957938 0.971583 0.964712 14252\n", " 20.0 0.945071 0.919566 0.932144 7559\n", "\n", "avg / total 0.953479 0.953556 0.953425 21811\n", "\n", "Classification report for turbine 6, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 34\n", " 11 0.000000 0.000000 0.000000 216\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.019231 0.004630 0.007463 216\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.852383 0.955524 0.901011 12636\n", " 20 0.926757 0.925132 0.925943 7413\n", "\n", "avg / total 0.808991 0.868048 0.836771 21811\n", "\n", "Classification report for turbine 6, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.957875 0.971653 0.964715 14252\n", " 20 0.945064 0.919434 0.932073 7559\n", "\n", "avg / total 0.953435 0.953556 0.953402 21811\n", "\n", "Classification report for turbine 6, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.957875 0.971653 0.964715 14252\n", " 20 0.945064 0.919434 0.932073 7559\n", "\n", "avg / total 0.953435 0.953556 0.953402 21811\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 6, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.984902 0.995251 0.990050 19795\n", " 20 0.948009 0.850198 0.896444 2016\n", "\n", "avg / total 0.981492 0.981844 0.981398 21811\n", "\n", "Classification report for turbine 6, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984703 0.991816 0.988247 19795\n", " 20.0 0.945689 0.837798 0.888480 2016\n", "\n", "avg / total 0.981097 0.977580 0.979025 21811\n", "\n", "Classification report for turbine 6, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.984902 0.995251 0.990050 19795\n", " 20 0.948009 0.850198 0.896444 2016\n", "\n", "avg / total 0.981492 0.981844 0.981398 21811\n", "\n", "Classification report for turbine 6, turbine category 3\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984862 0.992574 0.988703 19795\n", " 20.0 0.945916 0.850198 0.895507 2016\n", "\n", "avg / total 0.981262 0.979414 0.980089 21811\n", "\n", "Classification report for turbine 6, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 223\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.955667 0.994740 0.974812 19200\n", " 20 0.837942 0.836093 0.837017 1812\n", "\n", "avg / total 0.910878 0.945119 0.927654 21811\n", "\n", "Classification report for turbine 6, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 102\n", " 11 0.000000 0.000000 0.000000 158\n", " 12 0.000000 0.000000 0.000000 92\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 46\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.959856 0.995334 0.977273 19290\n", " 20 0.910951 0.863660 0.886676 1907\n", "\n", "avg / total 0.928559 0.955802 0.941841 21811\n", "\n", "Classification report for turbine 6, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 11\n", " 11 0.000000 0.000000 0.000000 64\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975932 0.986937 0.981404 19598\n", " 20 0.851777 0.673383 0.752147 1886\n", "\n", "avg / total 0.950565 0.945028 0.946866 21811\n", "\n", "Classification report for turbine 6, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984895 0.994797 0.989821 19795\n", " 20.0 0.945404 0.841766 0.890580 2016\n", "\n", "avg / total 0.981245 0.980652 0.980648 21811\n", "\n", "Classification report for turbine 6, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985352 0.992321 0.988825 19795\n", " 20.0 0.940280 0.765377 0.843861 2016\n", "\n", "avg / total 0.981186 0.971345 0.975426 21811\n", "\n", "Classification report for turbine 6, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.390244 0.092219 0.149184 694\n", " 11 0.000000 0.000000 0.000000 155\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 115\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.936885 0.991557 0.963446 18833\n", " 20 0.578077 0.709774 0.637192 1330\n", "\n", "avg / total 0.856634 0.902389 0.875503 21811\n", "\n", "Classification report for turbine 6, turbine category 10\n", " precision recall f1-score support\n", "\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984901 0.995150 0.989999 19795\n", " 20.0 0.948009 0.850198 0.896444 2016\n", "\n", "avg / total 0.981491 0.981752 0.981352 21811\n", "\n", "Classification report for turbine 6, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.100000 0.041667 0.058824 24\n", " 11 0.027778 0.006944 0.011111 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.932730 0.986677 0.958945 18690\n", " 20 0.907568 0.863239 0.884848 1945\n", "\n", "avg / total 0.880489 0.922562 0.900772 21811\n", "\n", "Classification report for turbine 6, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.984902 0.995251 0.990050 19795\n", " 20 0.948009 0.850198 0.896444 2016\n", "\n", "avg / total 0.981492 0.981844 0.981398 21811\n", "\n", "Classification report for turbine 6, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.970354 0.995180 0.982611 19504\n", " 20 0.941372 0.849301 0.892970 2004\n", "\n", "avg / total 0.954211 0.967952 0.960724 21811\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 6, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980850 0.996855 0.988788 20347\n", " 20 0.905477 0.876818 0.890917 1169\n", "\n", "avg / total 0.963544 0.976938 0.970168 21811\n", "\n", "Classification report for turbine 6, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992885 0.996164 0.994522 20594\n", " 20.0 0.942342 0.859491 0.899012 1217\n", "\n", "avg / total 0.990065 0.988538 0.989193 21811\n", "\n", "Classification report for turbine 6, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.992795 0.996892 0.994839 20594\n", " 20 0.943463 0.877568 0.909323 1217\n", "\n", "avg / total 0.990042 0.990234 0.990068 21811\n", "\n", "Classification report for turbine 6, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 112\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.979091 0.996012 0.987479 20310\n", " 20 0.841213 0.856494 0.848785 1101\n", "\n", "avg / total 0.954175 0.970703 0.962368 21811\n", "\n", "Classification report for turbine 6, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 26\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.979449 0.994978 0.987153 20310\n", " 20 0.912648 0.844987 0.877515 1187\n", "\n", "avg / total 0.961713 0.972491 0.966974 21811\n", "\n", "Classification report for turbine 6, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980687 0.996067 0.988317 20341\n", " 20 0.903880 0.876818 0.890143 1169\n", "\n", "avg / total 0.963037 0.975930 0.969416 21811\n", "\n", "Classification report for turbine 6, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.426471 0.204225 0.276190 142\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.062500 0.003968 0.007463 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.895161 0.993155 0.941615 18553\n", " 20 0.859738 0.774545 0.814921 1100\n", "\n", "avg / total 0.808305 0.885241 0.843946 21811\n", "\n", "Classification report for turbine 6, turbine category 7\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992890 0.996747 0.994814 20594\n", " 20.0 0.941071 0.866064 0.902011 1217\n", "\n", "avg / total 0.989998 0.989455 0.989636 21811\n", "\n", "Classification report for turbine 6, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 25\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.959524 0.996080 0.977460 19896\n", " 20 0.780511 0.804094 0.792127 1026\n", "\n", "avg / total 0.911993 0.946449 0.928901 21811\n", "\n", "Classification report for turbine 6, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.648515 0.310427 0.419872 422\n", " 11 0.062500 0.012346 0.020619 162\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.250000 0.009259 0.017857 108\n", " 19 0.955329 0.994139 0.974348 19791\n", " 20 0.571267 0.742647 0.645780 680\n", "\n", "avg / total 0.898912 0.931365 0.912608 21811\n", "\n", "Classification report for turbine 6, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.992795 0.996892 0.994839 20594\n", " 20 0.943463 0.877568 0.909323 1217\n", "\n", "avg / total 0.990042 0.990234 0.990068 21811\n", "\n", "Classification report for turbine 6, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.062500 0.013889 0.022727 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.966697 0.992711 0.979532 20030\n", " 20 0.923643 0.841576 0.880702 1193\n", "\n", "avg / total 0.938488 0.957728 0.947794 21811\n", "\n", "Classification report for turbine 6, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.992795 0.996892 0.994839 20594\n", " 20 0.943463 0.877568 0.909323 1217\n", "\n", "avg / total 0.990042 0.990234 0.990068 21811\n", "\n", "Classification report for turbine 6, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.992795 0.996892 0.994839 20594\n", " 20 0.943463 0.877568 0.909323 1217\n", "\n", "avg / total 0.990042 0.990234 0.990068 21811\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 7, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "Classification report for turbine 7, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.872771 0.932122 0.901471 8088\n", " 20 0.951079 0.931813 0.941347 12539\n", "\n", "avg / total 0.907353 0.918750 0.912615 20923\n", "\n", "Classification report for turbine 7, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "Classification report for turbine 7, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.540219 1.000000 0.701483 11303\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.000000 0.000000 0.000000 6571\n", " 20 0.000000 0.000000 0.000000 2185\n", "\n", "avg / total 0.291836 0.540219 0.378955 20923\n", "\n", "Classification report for turbine 7, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 69\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 65\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.842672 0.927616 0.883106 7847\n", " 20 0.946683 0.929656 0.938092 12510\n", "\n", "avg / total 0.882065 0.903742 0.892093 20923\n", "\n", "Classification report for turbine 7, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "Classification report for turbine 7, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2058\n", " 11 0.000000 0.000000 0.000000 378\n", " 12 0.000000 0.000000 0.000000 161\n", " 13 0.000000 0.000000 0.000000 138\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.664737 0.913458 0.769499 6286\n", " 20 0.871958 0.942792 0.905992 11362\n", "\n", "avg / total 0.673217 0.786407 0.723173 20923\n", "\n", "Classification report for turbine 7, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "Classification report for turbine 7, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 927\n", " 11 0.000000 0.000000 0.000000 324\n", " 12 0.000000 0.000000 0.000000 302\n", " 13 0.000000 0.000000 0.000000 257\n", " 14 0.000000 0.000000 0.000000 241\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.694837 0.915358 0.789997 6557\n", " 20 0.891575 0.956510 0.922902 11451\n", "\n", "avg / total 0.705705 0.810352 0.752672 20923\n", "\n", "Classification report for turbine 7, turbine category 9\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "Classification report for turbine 7, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "Classification report for turbine 7, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.881107 0.929645 0.904725 8187\n", " 20 0.951323 0.939394 0.945321 12441\n", "\n", "avg / total 0.910435 0.922334 0.916108 20923\n", "\n", "Classification report for turbine 7, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "Classification report for turbine 7, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.896272 0.930753 0.913187 8318\n", " 20 0.953114 0.928917 0.940860 12605\n", "\n", "avg / total 0.930516 0.929647 0.929858 20923\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 7, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.975081 0.767458 0.858900 16010\n", " 20 0.552632 0.936088 0.694975 4913\n", "\n", "avg / total 0.875884 0.807054 0.820409 20923\n", "\n", "Classification report for turbine 7, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.978363 0.754091 0.851711 16010\n", " 20.0 0.546120 0.926725 0.687245 4913\n", "\n", "avg / total 0.876867 0.794628 0.813092 20923\n", "\n", "Classification report for turbine 7, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.975081 0.767458 0.858900 16010\n", " 20 0.552632 0.936088 0.694975 4913\n", "\n", "avg / total 0.875884 0.807054 0.820409 20923\n", "\n", "Classification report for turbine 7, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.974548 0.703123 0.816879 16010\n", " 20.0 0.641897 0.680440 0.660607 4913\n", "\n", "avg / total 0.896437 0.697797 0.780184 20923\n", "\n", "Classification report for turbine 7, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.034091 0.000920 0.001792 3260\n", " 11 0.000000 0.000000 0.000000 1291\n", " 12 0.030769 0.001832 0.003457 1092\n", " 13 0.000000 0.000000 0.000000 952\n", " 14 0.166667 0.001199 0.002381 834\n", " 15 0.052632 0.001335 0.002604 749\n", " 16 0.000000 0.000000 0.000000 570\n", " 17 0.000000 0.000000 0.000000 407\n", " 18 0.000000 0.000000 0.000000 320\n", " 19 0.594684 0.892892 0.713898 8244\n", " 20 0.345724 0.888265 0.497726 3204\n", "\n", "avg / total 0.302702 0.488171 0.358153 20923\n", "\n", "Classification report for turbine 7, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.975081 0.767458 0.858900 16010\n", " 20 0.552632 0.936088 0.694975 4913\n", "\n", "avg / total 0.875884 0.807054 0.820409 20923\n", "\n", "Classification report for turbine 7, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.003046 0.461538 0.006051 13\n", " 11 0.020341 0.287037 0.037990 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.944093 0.701849 0.805145 15519\n", " 20 0.471597 0.564833 0.514022 4527\n", "\n", "avg / total 0.802396 0.644554 0.708608 20923\n", "\n", "Classification report for turbine 7, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.975081 0.767458 0.858900 16010\n", " 20 0.552632 0.936088 0.694975 4913\n", "\n", "avg / total 0.875884 0.807054 0.820409 20923\n", "\n", "Classification report for turbine 7, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.018692 0.022663 0.020487 353\n", " 11 0.120000 0.003577 0.006947 2516\n", " 12 0.072289 0.006135 0.011310 1956\n", " 13 0.044586 0.004569 0.008289 1532\n", " 14 0.067857 0.016281 0.026261 1167\n", " 15 0.084586 0.046201 0.059761 974\n", " 16 0.160000 0.021769 0.038323 735\n", " 17 0.000000 0.000000 0.000000 571\n", " 18 0.045685 0.021583 0.029316 417\n", " 19 0.434759 0.643018 0.518768 7555\n", " 20 0.332943 0.813791 0.472553 3147\n", "\n", "avg / total 0.246085 0.360560 0.267418 20923\n", "\n", "Classification report for turbine 7, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2029\n", " 11 0.000000 0.000000 0.000000 120\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 96\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.923974 0.765836 0.837505 15203\n", " 20 0.329368 0.911540 0.483891 3007\n", "\n", "avg / total 0.718711 0.687473 0.678089 20923\n", "\n", "Classification report for turbine 7, turbine category 10\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 19 0.975081 0.767458 0.858900 16010\n", " 20 0.552632 0.936088 0.694975 4913\n", "\n", "avg / total 0.875884 0.807054 0.820409 20923\n", "\n", "Classification report for turbine 7, turbine category 11\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.975264 0.765896 0.857993 16010\n", " 20.0 0.552660 0.936699 0.695166 4913\n", "\n", "avg / total 0.876031 0.806003 0.819759 20923\n", "\n", "Classification report for turbine 7, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 10\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975081 0.772476 0.862034 15906\n", " 20 0.529320 0.933460 0.675562 4719\n", "\n", "avg / total 0.860656 0.797782 0.807699 20923\n", "\n", "Classification report for turbine 7, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.975081 0.767458 0.858900 16010\n", " 20 0.552632 0.936088 0.694975 4913\n", "\n", "avg / total 0.875884 0.807054 0.820409 20923\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 7, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.977778 0.986960 0.982348 16718\n", " 20 0.946146 0.910820 0.928147 4205\n", "\n", "avg / total 0.971421 0.971658 0.971455 20923\n", "\n", "Classification report for turbine 7, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.977990 0.986063 0.982010 16718\n", " 20.0 0.944773 0.911296 0.927733 4205\n", "\n", "avg / total 0.971314 0.971037 0.971102 20923\n", "\n", "Classification report for turbine 7, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.977778 0.986960 0.982348 16718\n", " 20 0.946146 0.910820 0.928147 4205\n", "\n", "avg / total 0.971421 0.971658 0.971455 20923\n", "\n", "Classification report for turbine 7, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000912 0.031250 0.001773 32\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.333333 0.006944 0.013605 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.125000 0.006944 0.013158 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.912886 0.951684 0.931881 15647\n", " 20 0.913218 0.776637 0.839408 4092\n", "\n", "avg / total 0.864448 0.863738 0.861249 20923\n", "\n", "Classification report for turbine 7, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.683215 0.655329 0.668981 441\n", " 11 0.235690 0.310421 0.267943 451\n", " 12 0.091787 0.051213 0.065744 371\n", " 13 0.016484 0.008333 0.011070 360\n", " 14 0.054054 0.029240 0.037951 342\n", " 15 0.028571 0.022388 0.025105 268\n", " 16 0.009756 0.007937 0.008753 252\n", " 17 0.010101 0.003968 0.005698 252\n", " 18 0.005076 0.003968 0.004454 252\n", " 19 0.860127 0.913374 0.885951 14199\n", " 20 0.892182 0.846319 0.868645 3735\n", "\n", "avg / total 0.765916 0.793433 0.778699 20923\n", "\n", "Classification report for turbine 7, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.977778 0.986960 0.982348 16718\n", " 20 0.946146 0.910820 0.928147 4205\n", "\n", "avg / total 0.971421 0.971658 0.971455 20923\n", "\n", "Classification report for turbine 7, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.050847 0.083333 0.063158 108\n", " 11 0.000000 0.000000 0.000000 314\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 189\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.884134 0.982775 0.930848 15094\n", " 20 0.907393 0.875814 0.891324 3994\n", "\n", "avg / total 0.811296 0.876595 0.841992 20923\n", "\n", "Classification report for turbine 7, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.977778 0.986960 0.982348 16718\n", " 20 0.946146 0.910820 0.928147 4205\n", "\n", "avg / total 0.971421 0.971658 0.971455 20923\n", "\n", "Classification report for turbine 7, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.084399 0.165829 0.111864 199\n", " 11 0.224684 0.367495 0.278869 966\n", " 12 0.087457 0.092233 0.089781 824\n", " 13 0.027875 0.022039 0.024615 726\n", " 14 0.025316 0.017884 0.020961 671\n", " 15 0.027848 0.017857 0.021761 616\n", " 16 0.030612 0.021390 0.025184 561\n", " 17 0.049327 0.023061 0.031429 477\n", " 18 0.032967 0.025641 0.028846 468\n", " 19 0.732038 0.779135 0.754853 11704\n", " 20 0.857054 0.739962 0.794215 3711\n", "\n", "avg / total 0.581404 0.592793 0.584798 20923\n", "\n", "Classification report for turbine 7, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.108108 0.842105 0.191617 133\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.958779 0.975425 0.967030 16358\n", " 20 0.908976 0.748444 0.820936 3856\n", "\n", "avg / total 0.917799 0.905893 0.908555 20923\n", "\n", "Classification report for turbine 7, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.977778 0.986960 0.982348 16718\n", " 20 0.946146 0.910820 0.928147 4205\n", "\n", "avg / total 0.971421 0.971658 0.971455 20923\n", "\n", "Classification report for turbine 7, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 27\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.924773 0.987654 0.955180 15795\n", " 20 0.892045 0.914409 0.903089 3949\n", "\n", "avg / total 0.866486 0.918176 0.891524 20923\n", "\n", "Classification report for turbine 7, turbine category 12\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.977720 0.986960 0.982318 16718\n", " 20.0 0.944782 0.887039 0.915001 4205\n", "\n", "avg / total 0.971100 0.966879 0.968789 20923\n", "\n", "Classification report for turbine 7, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.977778 0.986960 0.982348 16718\n", " 20 0.946146 0.910820 0.928147 4205\n", "\n", "avg / total 0.971421 0.971658 0.971455 20923\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 7, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 152\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.971440 0.991399 0.981318 18836\n", " 20 0.667647 0.835173 0.742073 1359\n", "\n", "avg / total 0.917908 0.946757 0.931635 20923\n", "\n", "Classification report for turbine 7, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988645 0.990295 0.989469 19166\n", " 20.0 0.896853 0.875925 0.886265 1757\n", "\n", "avg / total 0.980936 0.980691 0.980803 20923\n", "\n", "Classification report for turbine 7, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.988295 0.991234 0.989763 19166\n", " 20 0.901176 0.871941 0.886318 1757\n", "\n", "avg / total 0.980980 0.981217 0.981076 20923\n", "\n", "Classification report for turbine 7, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987604 0.947772 0.967278 19166\n", " 20.0 0.902514 0.837792 0.868949 1757\n", "\n", "avg / total 0.980459 0.938537 0.959021 20923\n", "\n", "Classification report for turbine 7, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.227273 0.862069 0.359712 29\n", " 11 0.004518 0.083333 0.008571 36\n", " 12 0.005988 0.055556 0.010811 36\n", " 13 0.008811 0.055556 0.015209 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974599 0.903291 0.937591 18902\n", " 20 0.876074 0.838028 0.856629 1704\n", "\n", "avg / total 0.952157 0.885819 0.917350 20923\n", "\n", "Classification report for turbine 7, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.988295 0.991234 0.989763 19166\n", " 20 0.901176 0.871941 0.886318 1757\n", "\n", "avg / total 0.980980 0.981217 0.981076 20923\n", "\n", "Classification report for turbine 7, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988628 0.979756 0.984172 19166\n", " 20.0 0.896049 0.838930 0.866549 1757\n", "\n", "avg / total 0.980854 0.967930 0.974295 20923\n", "\n", "Classification report for turbine 7, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.988295 0.991234 0.989763 19166\n", " 20 0.901176 0.871941 0.886318 1757\n", "\n", "avg / total 0.980980 0.981217 0.981076 20923\n", "\n", "Classification report for turbine 7, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.072000 0.006716 0.012287 1340\n", " 11 0.069800 0.206967 0.104393 488\n", " 12 0.043175 0.066239 0.052277 468\n", " 13 0.018648 0.020202 0.019394 396\n", " 14 0.021583 0.016484 0.018692 364\n", " 15 0.061033 0.036111 0.045375 360\n", " 16 0.015957 0.008333 0.010949 360\n", " 17 0.013889 0.008333 0.010417 360\n", " 18 0.037383 0.011111 0.017131 360\n", " 19 0.773789 0.793595 0.783567 15237\n", " 20 0.565714 0.748739 0.644485 1190\n", "\n", "avg / total 0.605821 0.629021 0.613807 20923\n", "\n", "Classification report for turbine 7, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.051095 0.070707 0.059322 99\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.960094 0.985717 0.972737 18623\n", " 20 0.819322 0.803692 0.811432 1625\n", "\n", "avg / total 0.918429 0.940114 0.929108 20923\n", "\n", "Classification report for turbine 7, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.988295 0.991234 0.989763 19166\n", " 20 0.901176 0.871941 0.886318 1757\n", "\n", "avg / total 0.980980 0.981217 0.981076 20923\n", "\n", "Classification report for turbine 7, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.052632 0.013889 0.021978 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.960813 0.984539 0.972532 18628\n", " 20 0.870469 0.858231 0.864307 1707\n", "\n", "avg / total 0.926622 0.946614 0.936447 20923\n", "\n", "Classification report for turbine 7, turbine category 12\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988296 0.991287 0.989789 19166\n", " 20.0 0.901475 0.869664 0.885284 1757\n", "\n", "avg / total 0.981005 0.981073 0.981013 20923\n", "\n", "Classification report for turbine 7, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 49\n", " 11 0.000000 0.000000 0.000000 136\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.946835 0.991286 0.968550 18361\n", " 20 0.848235 0.870247 0.859100 1657\n", "\n", "avg / total 0.898072 0.938823 0.917989 20923\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 7, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980454 0.994086 0.987223 19276\n", " 20 0.867883 0.886652 0.877167 1341\n", "\n", "avg / total 0.958900 0.972662 0.965731 20923\n", "\n", "Classification report for turbine 7, turbine category 1\n", " precision recall f1-score support\n", "\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992479 0.994106 0.993292 19512\n", " 20.0 0.917271 0.895819 0.906418 1411\n", "\n", "avg / total 0.987407 0.987478 0.987433 20923\n", "\n", "Classification report for turbine 7, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.992480 0.994311 0.993395 19512\n", " 20 0.919273 0.895819 0.907394 1411\n", "\n", "avg / total 0.987543 0.987669 0.987595 20923\n", "\n", "Classification report for turbine 7, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992308 0.991749 0.992028 19512\n", " 20.0 0.923019 0.866761 0.894006 1411\n", "\n", "avg / total 0.987635 0.983320 0.985418 20923\n", "\n", "Classification report for turbine 7, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992135 0.924457 0.957101 19512\n", " 20.0 0.878436 0.588944 0.705134 1411\n", "\n", "avg / total 0.984467 0.901831 0.940109 20923\n", "\n", "Classification report for turbine 7, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.992480 0.994311 0.993395 19512\n", " 20 0.919273 0.895819 0.907394 1411\n", "\n", "avg / total 0.987543 0.987669 0.987595 20923\n", "\n", "Classification report for turbine 7, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.085714 0.083333 0.084507 36\n", " 11 0.000000 0.000000 0.000000 145\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.083333 0.006944 0.012821 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.938139 0.991421 0.964044 18417\n", " 20 0.862731 0.887623 0.875000 1317\n", "\n", "avg / total 0.880801 0.928739 0.903889 20923\n", "\n", "Classification report for turbine 7, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.992480 0.994311 0.993395 19512\n", " 20 0.919273 0.895819 0.907394 1411\n", "\n", "avg / total 0.987543 0.987669 0.987595 20923\n", "\n", "Classification report for turbine 7, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.255474 0.084541 0.127042 414\n", " 11 0.009585 0.138889 0.017932 108\n", " 12 0.018092 0.101852 0.030726 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.950339 0.848097 0.896312 18683\n", " 20 0.723136 0.776507 0.748872 962\n", "\n", "avg / total 0.887043 0.795918 0.837550 20923\n", "\n", "Classification report for turbine 7, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.545455 0.288462 0.377358 104\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.950246 0.990845 0.970121 18678\n", " 20 0.832583 0.868442 0.850134 1277\n", "\n", "avg / total 0.901813 0.938967 0.919791 20923\n", "\n", "Classification report for turbine 7, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.992480 0.994311 0.993395 19512\n", " 20 0.919273 0.895819 0.907394 1411\n", "\n", "avg / total 0.987543 0.987669 0.987595 20923\n", "\n", "Classification report for turbine 7, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.076923 0.142857 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.166667 0.013889 0.025641 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.964521 0.989920 0.977055 18949\n", " 20 0.899281 0.902527 0.900901 1385\n", "\n", "avg / total 0.934245 0.956364 0.944687 20923\n", "\n", "Classification report for turbine 7, turbine category 12\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992480 0.994311 0.993395 19512\n", " 20.0 0.919155 0.894401 0.906609 1411\n", "\n", "avg / total 0.987535 0.987573 0.987542 20923\n", "\n", "Classification report for turbine 7, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992515 0.992159 0.992337 19512\n", " 20.0 0.917997 0.896527 0.907135 1411\n", "\n", "avg / total 0.987489 0.985710 0.986591 20923\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 8, turbine category 0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 446\n", " 11 0.000000 0.000000 0.000000 392\n", " 12 0.142857 0.002778 0.005450 360\n", " 13 0.000000 0.000000 0.000000 327\n", " 14 0.000000 0.000000 0.000000 290\n", " 15 0.137931 0.014286 0.025890 280\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 224\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.826897 0.989289 0.900833 12511\n", " 20 0.647013 0.721613 0.682280 2281\n", "\n", "avg / total 0.677581 0.797998 0.730179 17579\n", "\n", "Classification report for turbine 8, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "Classification report for turbine 8, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "Classification report for turbine 8, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "Classification report for turbine 8, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.946805 0.987973 0.966951 14052\n", " 20 0.903180 0.790108 0.842869 3235\n", "\n", "avg / total 0.923050 0.935150 0.928055 17579\n", "\n", "Classification report for turbine 8, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "Classification report for turbine 8, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.622472 0.496861 0.552618 1115\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 64\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.907099 0.951813 0.928918 13572\n", " 20 0.921911 0.631789 0.749763 2504\n", "\n", "avg / total 0.871134 0.856363 0.859028 17579\n", "\n", "Classification report for turbine 8, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "Classification report for turbine 8, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.300000 0.007979 0.015544 752\n", " 11 0.000000 0.000000 0.000000 146\n", " 12 0.000000 0.000000 0.000000 111\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 104\n", " 19 0.895523 0.987584 0.939303 13531\n", " 20 0.633953 0.668894 0.650955 2395\n", "\n", "avg / total 0.788512 0.851641 0.812358 17579\n", "\n", "Classification report for turbine 8, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.028037 0.032609 0.030151 92\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.934585 0.969021 0.951491 13977\n", " 20 0.812174 0.636673 0.713794 2934\n", "\n", "avg / total 0.878786 0.876899 0.875820 17579\n", "\n", "Classification report for turbine 8, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "Classification report for turbine 8, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 30\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.838302 0.991188 0.908357 12710\n", " 20 0.947864 0.711386 0.812773 3399\n", "\n", "avg / total 0.789385 0.854201 0.813916 17579\n", "\n", "Classification report for turbine 8, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "Classification report for turbine 8, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.932992 0.991654 0.961429 14139\n", " 20 0.953744 0.707267 0.812218 3440\n", "\n", "avg / total 0.937053 0.936003 0.932230 17579\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 8, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.904572 0.949258 0.926377 12672\n", " 20.0 0.958879 0.522723 0.676602 4907\n", "\n", "avg / total 0.919731 0.830195 0.856655 17579\n", "\n", "Classification report for turbine 8, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.936688 0.985063 0.960266 12586\n", " 20 0.904444 0.835923 0.868834 4699\n", "\n", "avg / total 0.912403 0.928722 0.919766 17579\n", "\n", "Classification report for turbine 8, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.941448 0.983349 0.961942 12672\n", " 20 0.951416 0.842062 0.893405 4907\n", "\n", "avg / total 0.944230 0.943910 0.942811 17579\n", "\n", "Classification report for turbine 8, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.920973 0.982985 0.950969 12401\n", " 20 0.947271 0.842342 0.891731 4884\n", "\n", "avg / total 0.912877 0.927470 0.918606 17579\n", "\n", "Classification report for turbine 8, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.942586 0.980745 0.961287 12672\n", " 20.0 0.950385 0.804157 0.871178 4907\n", "\n", "avg / total 0.944763 0.931452 0.936134 17579\n", "\n", "Classification report for turbine 8, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.941448 0.983349 0.961942 12672\n", " 20 0.951416 0.842062 0.893405 4907\n", "\n", "avg / total 0.944230 0.943910 0.942811 17579\n", "\n", "Classification report for turbine 8, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.004444 0.066667 0.008333 15\n", " 11 0.000000 0.000000 0.000000 46\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.926215 0.978254 0.951523 12370\n", " 20 0.945463 0.821487 0.879126 4896\n", "\n", "avg / total 0.915088 0.917231 0.914425 17579\n", "\n", "Classification report for turbine 8, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.941448 0.983349 0.961942 12672\n", " 20 0.951416 0.842062 0.893405 4907\n", "\n", "avg / total 0.944230 0.943910 0.942811 17579\n", "\n", "Classification report for turbine 8, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.118728 0.619926 0.199288 271\n", " 11 0.153846 0.011111 0.020725 180\n", " 12 0.000000 0.000000 0.000000 117\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.037037 0.009259 0.014815 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.873307 0.970235 0.919222 11893\n", " 20 0.878920 0.539150 0.668331 4470\n", "\n", "avg / total 0.817958 0.803231 0.795215 17579\n", "\n", "Classification report for turbine 8, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.006289 0.005917 0.006098 169\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.912518 0.975293 0.942862 12385\n", " 20 0.912124 0.709943 0.798433 4737\n", "\n", "avg / total 0.888750 0.878491 0.879490 17579\n", "\n", "Classification report for turbine 8, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.941448 0.983349 0.961942 12672\n", " 20 0.951416 0.842062 0.893405 4907\n", "\n", "avg / total 0.944230 0.943910 0.942811 17579\n", "\n", "Classification report for turbine 8, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 24\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.050000 0.006944 0.012195 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.083333 0.006944 0.012821 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.899160 0.955067 0.926271 11773\n", " 20 0.886170 0.923110 0.904263 4630\n", "\n", "avg / total 0.836679 0.882872 0.858714 17579\n", "\n", "Classification report for turbine 8, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.941448 0.983349 0.961942 12672\n", " 20 0.951416 0.842062 0.893405 4907\n", "\n", "avg / total 0.944230 0.943910 0.942811 17579\n", "\n", "Classification report for turbine 8, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.941448 0.983349 0.961942 12672\n", " 20 0.951416 0.842062 0.893405 4907\n", "\n", "avg / total 0.944230 0.943910 0.942811 17579\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 8, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.059006 0.129252 0.081023 147\n", " 11 0.024194 0.034884 0.028571 86\n", " 12 0.010753 0.013889 0.012121 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.920595 0.987082 0.952680 13237\n", " 20 0.933388 0.629681 0.752029 3605\n", "\n", "avg / total 0.885278 0.873713 0.872457 17579\n", "\n", "Classification report for turbine 8, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.958613 0.993778 0.975878 13821\n", " 20.0 0.974715 0.841139 0.903014 3758\n", "\n", "avg / total 0.962055 0.961147 0.960302 17579\n", "\n", "Classification report for turbine 8, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.958296 0.994212 0.975923 13821\n", " 20 0.975309 0.840873 0.903115 3758\n", "\n", "avg / total 0.961933 0.961431 0.960359 17579\n", "\n", "Classification report for turbine 8, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 123\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.938233 0.993423 0.965039 13532\n", " 20 0.938001 0.836359 0.884269 3636\n", "\n", "avg / total 0.916249 0.937710 0.925770 17579\n", "\n", "Classification report for turbine 8, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.959201 0.993416 0.976009 13821\n", " 20.0 0.975670 0.843002 0.904497 3758\n", "\n", "avg / total 0.962722 0.961261 0.960721 17579\n", "\n", "Classification report for turbine 8, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 33\n", " 11 0.000000 0.000000 0.000000 172\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 136\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.897901 0.994669 0.943811 12944\n", " 20 0.937346 0.841274 0.886715 3610\n", "\n", "avg / total 0.853646 0.905171 0.877054 17579\n", "\n", "Classification report for turbine 8, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.006470 0.024138 0.010204 290\n", " 11 0.000000 0.000000 0.000000 80\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 67\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.936584 0.974885 0.955351 13498\n", " 20 0.812448 0.587306 0.681771 3356\n", "\n", "avg / total 0.874365 0.861084 0.863889 17579\n", "\n", "Classification report for turbine 8, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.958296 0.994212 0.975923 13821\n", " 20 0.975309 0.840873 0.903115 3758\n", "\n", "avg / total 0.961933 0.961431 0.960359 17579\n", "\n", "Classification report for turbine 8, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.009485 0.500000 0.018617 14\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.941264 0.986136 0.963178 13488\n", " 20 0.939811 0.624393 0.750300 3501\n", "\n", "avg / total 0.909391 0.881393 0.888469 17579\n", "\n", "Classification report for turbine 8, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.960988 0.990956 0.975742 13821\n", " 20.0 0.974323 0.737094 0.839267 3758\n", "\n", "avg / total 0.963839 0.936686 0.946566 17579\n", "\n", "Classification report for turbine 8, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.958296 0.994212 0.975923 13821\n", " 20 0.975309 0.840873 0.903115 3758\n", "\n", "avg / total 0.961933 0.961431 0.960359 17579\n", "\n", "Classification report for turbine 8, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.142857 0.142857 0.142857 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.941005 0.978976 0.959615 13556\n", " 20 0.968808 0.841470 0.900660 3728\n", "\n", "avg / total 0.931167 0.933443 0.931066 17579\n", "\n", "Classification report for turbine 8, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.958296 0.994212 0.975923 13821\n", " 20 0.975309 0.840873 0.903115 3758\n", "\n", "avg / total 0.961933 0.961431 0.960359 17579\n", "\n", "Classification report for turbine 8, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.958296 0.994212 0.975923 13821\n", " 20 0.975309 0.840873 0.903115 3758\n", "\n", "avg / total 0.961933 0.961431 0.960359 17579\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 8, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.218750 0.036458 0.062500 192\n", " 11 0.000000 0.000000 0.000000 301\n", " 12 0.304348 0.024306 0.045016 288\n", " 13 0.153846 0.007220 0.013793 277\n", " 14 0.000000 0.000000 0.000000 233\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 183\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.878916 0.993489 0.932697 13977\n", " 20 0.788715 0.810567 0.799492 1552\n", "\n", "avg / total 0.778256 0.862393 0.813807 17579\n", "\n", "Classification report for turbine 8, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.983780 0.995275 0.989494 15662\n", " 20.0 0.966764 0.864893 0.912996 1917\n", "\n", "avg / total 0.981925 0.981057 0.981152 17579\n", "\n", "Classification report for turbine 8, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.983735 0.996297 0.989976 15662\n", " 20 0.966220 0.865415 0.913043 1917\n", "\n", "avg / total 0.981825 0.982024 0.981586 17579\n", "\n", "Classification report for turbine 8, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 43\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.966905 0.992530 0.979550 15395\n", " 20 0.931937 0.864544 0.896976 1853\n", "\n", "avg / total 0.945013 0.960350 0.952402 17579\n", "\n", "Classification report for turbine 8, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 97\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967093 0.996298 0.981479 15398\n", " 20 0.905738 0.861359 0.882991 1796\n", "\n", "avg / total 0.939644 0.960692 0.949921 17579\n", "\n", "Classification report for turbine 8, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 129\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.927940 0.994248 0.959950 14778\n", " 20 0.955814 0.865263 0.908287 1900\n", "\n", "avg / total 0.883392 0.929348 0.905165 17579\n", "\n", "Classification report for turbine 8, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.983585 0.994701 0.989111 15662\n", " 20.0 0.965600 0.834637 0.895355 1917\n", "\n", "avg / total 0.981624 0.977246 0.978887 17579\n", "\n", "Classification report for turbine 8, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 125\n", " 11 0.000000 0.000000 0.000000 63\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967596 0.996688 0.981926 15399\n", " 20 0.869540 0.858046 0.863755 1740\n", "\n", "avg / total 0.933671 0.958018 0.945652 17579\n", "\n", "Classification report for turbine 8, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984062 0.993424 0.988720 15662\n", " 20.0 0.965740 0.779343 0.862587 1917\n", "\n", "avg / total 0.982064 0.970078 0.974966 17579\n", "\n", "Classification report for turbine 8, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984081 0.994637 0.989331 15662\n", " 20.0 0.962508 0.816901 0.883747 1917\n", "\n", "avg / total 0.981728 0.975255 0.977817 17579\n", "\n", "Classification report for turbine 8, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.983735 0.996297 0.989976 15662\n", " 20 0.966220 0.865415 0.913043 1917\n", "\n", "avg / total 0.981825 0.982024 0.981586 17579\n", "\n", "Classification report for turbine 8, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.052632 0.090909 19\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.931175 0.987920 0.958709 14818\n", " 20 0.951772 0.872204 0.910253 1878\n", "\n", "avg / total 0.886962 0.925991 0.905474 17579\n", "\n", "Classification report for turbine 8, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.983735 0.996297 0.989976 15662\n", " 20 0.966220 0.865415 0.913043 1917\n", "\n", "avg / total 0.981825 0.982024 0.981586 17579\n", "\n", "Classification report for turbine 8, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.965578 0.996227 0.980663 15374\n", " 20 0.959814 0.865546 0.910246 1904\n", "\n", "avg / total 0.948420 0.965015 0.956245 17579\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 8, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.125000 0.111111 0.117647 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976272 0.990593 0.983381 15202\n", " 20 0.937466 0.835255 0.883414 2082\n", "\n", "avg / total 0.955549 0.955800 0.955279 17579\n", "\n", "Classification report for turbine 8, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989508 0.997017 0.993248 15419\n", " 20.0 0.977952 0.924074 0.950250 2160\n", "\n", "avg / total 0.988088 0.988054 0.987965 17579\n", "\n", "Classification report for turbine 8, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.989382 0.997146 0.993249 15419\n", " 20 0.978421 0.923611 0.950226 2160\n", "\n", "avg / total 0.988035 0.988111 0.987963 17579\n", "\n", "Classification report for turbine 8, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989552 0.995136 0.992336 15419\n", " 20.0 0.976401 0.919444 0.947067 2160\n", "\n", "avg / total 0.987936 0.985835 0.986774 17579\n", "\n", "Classification report for turbine 8, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 31\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976377 0.996977 0.986570 15215\n", " 20 0.923608 0.916381 0.919980 2045\n", "\n", "avg / total 0.952521 0.969509 0.960920 17579\n", "\n", "Classification report for turbine 8, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989521 0.992088 0.990803 15419\n", " 20.0 0.978660 0.912963 0.944671 2160\n", "\n", "avg / total 0.988186 0.982365 0.985134 17579\n", "\n", "Classification report for turbine 8, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 85\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.886169 0.996018 0.937888 13811\n", " 20 0.749509 0.915417 0.824197 1667\n", "\n", "avg / total 0.767297 0.869333 0.815012 17579\n", "\n", "Classification report for turbine 8, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989381 0.997017 0.993184 15419\n", " 20.0 0.977688 0.892593 0.933204 2160\n", "\n", "avg / total 0.987944 0.984186 0.985814 17579\n", "\n", "Classification report for turbine 8, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.629032 0.569343 0.597701 137\n", " 11 0.000000 0.000000 0.000000 117\n", " 12 0.000000 0.000000 0.000000 84\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.953538 0.995827 0.974224 14859\n", " 20 0.924440 0.909744 0.917033 1950\n", "\n", "avg / total 0.913445 0.947096 0.929865 17579\n", "\n", "Classification report for turbine 8, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.972092 0.995906 0.983855 15144\n", " 20 0.966395 0.886088 0.924501 2142\n", "\n", "avg / total 0.955195 0.965925 0.960224 17579\n", "\n", "Classification report for turbine 8, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 65\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 65\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.970849 0.997224 0.983860 15129\n", " 20 0.899461 0.918838 0.909046 1996\n", "\n", "avg / total 0.937670 0.962569 0.949956 17579\n", "\n", "Classification report for turbine 8, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.076923 0.009259 0.016529 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.937266 0.993079 0.964365 14593\n", " 20 0.957157 0.934855 0.945874 2103\n", "\n", "avg / total 0.893039 0.936288 0.913814 17579\n", "\n", "Classification report for turbine 8, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.989382 0.997146 0.993249 15419\n", " 20 0.978421 0.923611 0.950226 2160\n", "\n", "avg / total 0.988035 0.988111 0.987963 17579\n", "\n", "Classification report for turbine 8, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.971280 0.996433 0.983695 15137\n", " 20 0.974007 0.925443 0.949104 2146\n", "\n", "avg / total 0.955258 0.970988 0.962909 17579\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 9, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.966637 0.991643 0.978980 17589\n", " 20.0 0.943842 0.801381 0.866797 3041\n", "\n", "avg / total 0.963277 0.963597 0.962444 20630\n", "\n", "Classification report for turbine 9, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2209\n", " 11 0.000000 0.000000 0.000000 122\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.851089 0.991417 0.915909 15496\n", " 20 0.690070 0.773815 0.729547 2299\n", "\n", "avg / total 0.716187 0.830926 0.769276 20630\n", "\n", "Classification report for turbine 9, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.689320 0.556863 0.616052 255\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 57\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.937374 0.986464 0.961293 16918\n", " 20 0.905186 0.797749 0.848078 2932\n", "\n", "avg / total 0.905878 0.929229 0.916471 20630\n", "\n", "Classification report for turbine 9, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.421067 0.969155 0.587070 1621\n", " 11 0.021514 0.500000 0.041253 220\n", " 12 0.006084 0.061111 0.011066 180\n", " 13 0.009162 0.038889 0.014831 180\n", " 14 0.001401 0.005556 0.002237 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.014851 0.016667 0.015707 180\n", " 17 0.000000 0.000000 0.000000 169\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.931388 0.406423 0.565906 16099\n", " 20 0.362637 0.022343 0.042092 1477\n", "\n", "avg / total 0.786378 0.401309 0.491580 20630\n", "\n", "Classification report for turbine 9, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 38\n", " 11 0.000000 0.000000 0.000000 216\n", " 12 0.004386 0.004630 0.004505 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.018519 0.004630 0.007407 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.879127 0.935735 0.906548 15934\n", " 20 0.904797 0.849829 0.876452 2930\n", "\n", "avg / total 0.807756 0.843529 0.824795 20630\n", "\n", "Classification report for turbine 9, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "Classification report for turbine 9, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.966650 0.992040 0.979181 17589\n", " 20 0.945715 0.802039 0.867972 3041\n", "\n", "avg / total 0.963564 0.964033 0.962788 20630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 9, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 79\n", " 11 0.000000 0.000000 0.000000 55\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 46\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.920183 0.955871 0.937688 10288\n", " 20 0.950216 0.960358 0.955260 9838\n", "\n", "avg / total 0.912025 0.934658 0.923159 20630\n", "\n", "Classification report for turbine 9, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.962758 0.957651 0.960198 10744\n", " 20 0.954239 0.959741 0.956982 9886\n", "\n", "avg / total 0.958676 0.958652 0.958657 20630\n", "\n", "Classification report for turbine 9, turbine category 2\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.935716 0.956480 0.945984 10455\n", " 20 0.953435 0.959708 0.956561 9878\n", "\n", "avg / total 0.930729 0.944256 0.937430 20630\n", "\n", "Classification report for turbine 9, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.035714 0.009804 0.015385 102\n", " 11 0.000000 0.000000 0.000000 64\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.932001 0.956297 0.943992 10434\n", " 20 0.943770 0.954387 0.949049 9778\n", "\n", "avg / total 0.918872 0.936064 0.927338 20630\n", "\n", "Classification report for turbine 9, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.958080 0.957453 0.957766 10694\n", " 20 0.930806 0.959764 0.945063 9643\n", "\n", "avg / total 0.931724 0.944935 0.938226 20630\n", "\n", "Classification report for turbine 9, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.962758 0.957651 0.960198 10744\n", " 20 0.954239 0.959741 0.956982 9886\n", "\n", "avg / total 0.958676 0.958652 0.958657 20630\n", "\n", "Classification report for turbine 9, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.188382 0.630556 0.290096 360\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.939807 0.928171 0.933953 10177\n", " 20 0.910980 0.921443 0.916182 9229\n", "\n", "avg / total 0.874439 0.881095 0.875653 20630\n", "\n", "Classification report for turbine 9, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.962758 0.957651 0.960198 10744\n", " 20 0.954239 0.959741 0.956982 9886\n", "\n", "avg / total 0.958676 0.958652 0.958657 20630\n", "\n", "Classification report for turbine 9, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.962745 0.942852 0.952694 10744\n", " 20.0 0.954624 0.951244 0.952931 9886\n", "\n", "avg / total 0.958853 0.946873 0.952808 20630\n", "\n", "Classification report for turbine 9, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.850469 0.730482 0.785922 8697\n", " 11 0.001502 0.001828 0.001649 547\n", " 12 0.000000 0.000000 0.000000 350\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.044118 0.011236 0.017910 267\n", " 15 0.000000 0.000000 0.000000 223\n", " 16 0.038462 0.014019 0.020548 214\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.679971 0.902963 0.775760 7358\n", " 20 0.564640 0.567068 0.565852 2326\n", "\n", "avg / total 0.665727 0.694280 0.672296 20630\n", "\n", "Classification report for turbine 9, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.962758 0.957651 0.960198 10744\n", " 20 0.954239 0.959741 0.956982 9886\n", "\n", "avg / total 0.958676 0.958652 0.958657 20630\n", "\n", "Classification report for turbine 9, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.963369 0.939966 0.951524 10744\n", " 20.0 0.954615 0.951042 0.952825 9886\n", "\n", "avg / total 0.959174 0.945274 0.952147 20630\n", "\n", "Classification report for turbine 9, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.962758 0.957651 0.960198 10744\n", " 20 0.954239 0.959741 0.956982 9886\n", "\n", "avg / total 0.958676 0.958652 0.958657 20630\n", "\n", "Classification report for turbine 9, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.962758 0.957651 0.960198 10744\n", " 20 0.954239 0.959741 0.956982 9886\n", "\n", "avg / total 0.958676 0.958652 0.958657 20630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 9, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.078740 0.048077 0.059701 208\n", " 11 0.000000 0.000000 0.000000 183\n", " 12 0.000000 0.000000 0.000000 125\n", " 13 0.000000 0.000000 0.000000 58\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 26\n", " 16 0.000000 0.000000 0.000000 4\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.947234 0.983163 0.964864 16214\n", " 20 0.938877 0.920626 0.929662 3704\n", "\n", "avg / total 0.913836 0.938488 0.925845 20630\n", "\n", "Classification report for turbine 9, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.987099 0.987216 0.987157 16896\n", " 20 0.942122 0.941618 0.941870 3734\n", "\n", "avg / total 0.978958 0.978963 0.978960 20630\n", "\n", "Classification report for turbine 9, turbine category 2\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987068 0.984848 0.985957 16896\n", " 20.0 0.942122 0.941618 0.941870 3734\n", "\n", "avg / total 0.978933 0.977024 0.977977 20630\n", "\n", "Classification report for turbine 9, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.971875 0.986596 0.979180 16637\n", " 20 0.932672 0.939984 0.936313 3699\n", "\n", "avg / total 0.950996 0.964178 0.957540 20630\n", "\n", "Classification report for turbine 9, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.969582 0.986988 0.978208 16600\n", " 20 0.942107 0.941350 0.941728 3734\n", "\n", "avg / total 0.950698 0.964566 0.957570 20630\n", "\n", "Classification report for turbine 9, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.987099 0.987216 0.987157 16896\n", " 20 0.942122 0.941618 0.941870 3734\n", "\n", "avg / total 0.978958 0.978963 0.978960 20630\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 9, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 68\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.959528 0.985455 0.972319 16432\n", " 20 0.897731 0.723692 0.801371 3554\n", "\n", "avg / total 0.918929 0.909598 0.912517 20630\n", "\n", "Classification report for turbine 9, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.987099 0.987216 0.987157 16896\n", " 20 0.942122 0.941618 0.941870 3734\n", "\n", "avg / total 0.978958 0.978963 0.978960 20630\n", "\n", "Classification report for turbine 9, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 77\n", " 19 0.962133 0.985374 0.973615 16477\n", " 20 0.896431 0.937430 0.916472 3564\n", "\n", "avg / total 0.923313 0.948958 0.935946 20630\n", "\n", "Classification report for turbine 9, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.095843 0.669065 0.167668 417\n", " 11 0.006211 0.001992 0.003017 502\n", " 12 0.028571 0.009615 0.014388 416\n", " 13 0.011628 0.002841 0.004566 352\n", " 14 0.011628 0.003472 0.005348 288\n", " 15 0.000000 0.000000 0.000000 259\n", " 16 0.022222 0.003968 0.006734 252\n", " 17 0.025000 0.004292 0.007326 233\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.834080 0.912176 0.871382 14290\n", " 20 0.949153 0.411160 0.573770 3405\n", "\n", "avg / total 0.737989 0.713669 0.702361 20630\n", "\n", "Classification report for turbine 9, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.987099 0.987216 0.987157 16896\n", " 20 0.942122 0.941618 0.941870 3734\n", "\n", "avg / total 0.978958 0.978963 0.978960 20630\n", "\n", "Classification report for turbine 9, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.935990 0.974357 0.954789 16028\n", " 20 0.935072 0.944624 0.939823 3720\n", "\n", "avg / total 0.895808 0.927339 0.911270 20630\n", "\n", "Classification report for turbine 9, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.987099 0.987216 0.987157 16896\n", " 20 0.942122 0.941618 0.941870 3734\n", "\n", "avg / total 0.978958 0.978963 0.978960 20630\n", "\n", "Classification report for turbine 9, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.987099 0.987216 0.987157 16896\n", " 20 0.942122 0.941618 0.941870 3734\n", "\n", "avg / total 0.978958 0.978963 0.978960 20630\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 9, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 60\n", " 11.0 0.000000 0.000000 0.000000 36\n", " 12.0 0.000000 0.000000 0.000000 36\n", " 13.0 0.000000 0.000000 0.000000 36\n", " 14.0 0.000000 0.000000 0.000000 36\n", " 15.0 0.000000 0.000000 0.000000 36\n", " 16.0 0.000000 0.000000 0.000000 32\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.974665 0.994357 0.984413 17720\n", " 20.0 0.946846 0.904852 0.925373 2638\n", "\n", "avg / total 0.958257 0.969801 0.963884 20630\n", "\n", "Classification report for turbine 9, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.986192 0.995484 0.990816 17936\n", " 20 0.967921 0.907201 0.936578 2694\n", "\n", "avg / total 0.983806 0.983955 0.983733 20630\n", "\n", "Classification report for turbine 9, turbine category 2\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986189 0.995317 0.990732 17936\n", " 20.0 0.967921 0.907201 0.936578 2694\n", "\n", "avg / total 0.983804 0.983810 0.983660 20630\n", "\n", "Classification report for turbine 9, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986133 0.995149 0.990620 17936\n", " 20.0 0.966680 0.893838 0.928833 2694\n", "\n", "avg / total 0.983592 0.981920 0.982552 20630\n", "\n", "Classification report for turbine 9, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 53\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.945894 0.994942 0.969798 17202\n", " 20 0.898574 0.903226 0.900894 2511\n", "\n", "avg / total 0.898089 0.939554 0.918304 20630\n", "\n", "Classification report for turbine 9, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 203\n", " 11 0.000000 0.000000 0.000000 187\n", " 12 0.000000 0.000000 0.000000 156\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 125\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 98\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.936371 0.995245 0.964911 17034\n", " 20 0.838020 0.896990 0.866503 2359\n", "\n", "avg / total 0.868979 0.924333 0.895801 20630\n", "\n", "Classification report for turbine 9, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986164 0.993477 0.989807 17936\n", " 20.0 0.966172 0.869339 0.915201 2694\n", "\n", "avg / total 0.983553 0.977266 0.980064 20630\n", "\n", "Classification report for turbine 9, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 34\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975697 0.995492 0.985495 17745\n", " 20 0.921584 0.907920 0.914701 2563\n", "\n", "avg / total 0.953745 0.969074 0.961318 20630\n", "\n", "Classification report for turbine 9, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 297\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 1.000000 0.014925 0.029412 67\n", " 19 0.959737 0.994384 0.976753 17451\n", " 20 0.823180 0.900476 0.860095 2311\n", "\n", "avg / total 0.907307 0.942075 0.922684 20630\n", "\n", "Classification report for turbine 9, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.445885 0.791000 0.570296 1000\n", " 11 0.046414 0.010967 0.017742 1003\n", " 12 0.021277 0.002395 0.004306 835\n", " 13 0.073529 0.006579 0.012077 760\n", " 14 0.104167 0.007013 0.013141 713\n", " 15 0.346939 0.024854 0.046385 684\n", " 16 0.216667 0.019259 0.035374 675\n", " 17 0.000000 0.000000 0.000000 613\n", " 18 0.000000 0.000000 0.000000 574\n", " 19 0.686221 0.964914 0.802048 12341\n", " 20 0.648910 0.374302 0.474756 1432\n", "\n", "avg / total 0.505177 0.644111 0.545020 20630\n", "\n", "Classification report for turbine 9, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.986192 0.995484 0.990816 17936\n", " 20 0.967921 0.907201 0.936578 2694\n", "\n", "avg / total 0.983806 0.983955 0.983733 20630\n", "\n", "Classification report for turbine 9, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.955510 0.987626 0.971302 17375\n", " 20 0.956265 0.910011 0.932565 2667\n", "\n", "avg / total 0.928373 0.949443 0.938610 20630\n", "\n", "Classification report for turbine 9, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.986192 0.995484 0.990816 17936\n", " 20 0.967921 0.907201 0.936578 2694\n", "\n", "avg / total 0.983806 0.983955 0.983733 20630\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 9, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 316\n", " 11 0.000000 0.000000 0.000000 432\n", " 12 0.000000 0.000000 0.000000 432\n", " 13 0.000000 0.000000 0.000000 424\n", " 14 0.000000 0.000000 0.000000 339\n", " 15 0.000000 0.000000 0.000000 288\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.000000 0.000000 0.000000 280\n", " 18 0.000000 0.000000 0.000000 229\n", " 19 0.845954 0.995839 0.914798 15380\n", " 20 0.802772 0.912241 0.854013 2222\n", "\n", "avg / total 0.717137 0.840669 0.773980 20630\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 9, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.405405 0.288462 0.337079 52\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974535 0.992759 0.983563 17540\n", " 20 0.953368 0.936727 0.944974 2750\n", "\n", "avg / total 0.956675 0.969656 0.963059 20630\n", "\n", "Classification report for turbine 9, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.990345 0.995400 0.992866 17827\n", " 20 0.969764 0.938280 0.953762 2803\n", "\n", "avg / total 0.987549 0.987639 0.987553 20630\n", "\n", "Classification report for turbine 9, turbine category 2\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990343 0.995176 0.992753 17827\n", " 20.0 0.969764 0.938280 0.953762 2803\n", "\n", "avg / total 0.987547 0.987445 0.987456 20630\n", "\n", "Classification report for turbine 9, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 39\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.981023 0.995469 0.988193 17656\n", " 20 0.911898 0.914998 0.913445 2647\n", "\n", "avg / total 0.956603 0.969365 0.962939 20630\n", "\n", "Classification report for turbine 9, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 33\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.958833 0.992118 0.975192 17255\n", " 20 0.961922 0.940709 0.951197 2766\n", "\n", "avg / total 0.930942 0.955938 0.943187 20630\n", "\n", "Classification report for turbine 9, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 275\n", " 11 0.000000 0.000000 0.000000 289\n", " 12 0.000000 0.000000 0.000000 206\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 167\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.925287 0.991776 0.957378 16658\n", " 20 0.767286 0.920196 0.836813 2243\n", "\n", "avg / total 0.830560 0.900873 0.864032 20630\n", "\n", "Classification report for turbine 9, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 45\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 123\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.942803 0.994579 0.967999 16971\n", " 20 0.933432 0.935161 0.934296 2699\n", "\n", "avg / total 0.897704 0.940524 0.918545 20630\n", "\n", "Classification report for turbine 9, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990454 0.995232 0.992837 17827\n", " 20.0 0.969764 0.938280 0.953762 2803\n", "\n", "avg / total 0.987643 0.987494 0.987528 20630\n", "\n", "Classification report for turbine 9, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990584 0.991418 0.991001 17827\n", " 20.0 0.967730 0.930788 0.948900 2803\n", "\n", "avg / total 0.987479 0.983180 0.985280 20630\n", "\n", "Classification report for turbine 9, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.561169 0.696375 0.621503 1324\n", " 11 0.123037 0.037480 0.057457 1254\n", " 12 0.060606 0.007273 0.012987 1100\n", " 13 0.068627 0.006816 0.012400 1027\n", " 14 0.039735 0.006508 0.011184 922\n", " 15 0.035211 0.005562 0.009606 899\n", " 16 0.022556 0.003628 0.006250 827\n", " 17 0.049645 0.009044 0.015301 774\n", " 18 0.000000 0.000000 0.000000 711\n", " 19 0.583862 0.935366 0.718950 10428\n", " 20 0.700772 0.532258 0.605000 1364\n", "\n", "avg / total 0.397681 0.556714 0.449847 20630\n", "\n", "Classification report for turbine 9, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974718 0.995327 0.984915 17547\n", " 20 0.965708 0.939383 0.952364 2788\n", "\n", "avg / total 0.959562 0.973534 0.966432 20630\n", "\n", "Classification report for turbine 9, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.958827 0.989336 0.973843 17254\n", " 20 0.962949 0.941535 0.952122 2788\n", "\n", "avg / total 0.932056 0.954678 0.943151 20630\n", "\n", "Classification report for turbine 9, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.990345 0.995400 0.992866 17827\n", " 20 0.969764 0.938280 0.953762 2803\n", "\n", "avg / total 0.987549 0.987639 0.987553 20630\n", "\n", "Classification report for turbine 9, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990402 0.989847 0.990125 17827\n", " 20.0 0.966296 0.930788 0.948210 2803\n", "\n", "avg / total 0.987127 0.981823 0.984430 20630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 10, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.983198 0.871906 0.924214 19798\n", " 20.0 0.765263 0.789936 0.777404 2047\n", "\n", "avg / total 0.962776 0.864225 0.910457 21845\n", "\n", "Classification report for turbine 10, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.964315 0.976524 0.970381 19509\n", " 20 0.777405 0.796469 0.786822 2039\n", "\n", "avg / total 0.933758 0.946441 0.940054 21845\n", "\n", "Classification report for turbine 10, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.978842 0.976765 0.977802 19798\n", " 20 0.779799 0.795799 0.787718 2047\n", "\n", "avg / total 0.960190 0.959808 0.959990 21845\n", "\n", "Classification report for turbine 10, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 491\n", " 11 0.040000 0.001946 0.003711 514\n", " 12 0.000000 0.000000 0.000000 375\n", " 13 0.000000 0.000000 0.000000 302\n", " 14 0.181818 0.007547 0.014493 265\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.090909 0.003968 0.007605 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.855877 0.969987 0.909366 17326\n", " 20 0.559387 0.746803 0.639650 1564\n", "\n", "avg / total 0.723070 0.822980 0.767396 21845\n", "\n", "Classification report for turbine 10, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 32\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 43\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.958972 0.879498 0.917517 19427\n", " 20 0.734002 0.761268 0.747386 2019\n", "\n", "avg / total 0.920664 0.852506 0.885034 21845\n", "\n", "Classification report for turbine 10, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.982459 0.961865 0.972053 19798\n", " 20.0 0.773281 0.774792 0.774036 2047\n", "\n", "avg / total 0.962858 0.944335 0.953497 21845\n", "\n", "Classification report for turbine 10, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 42\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.008065 0.006944 0.007463 144\n", " 14 0.125000 0.020833 0.035714 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.932389 0.958958 0.945487 18810\n", " 20 0.668077 0.771863 0.716230 1841\n", "\n", "avg / total 0.860029 0.890959 0.874773 21845\n", "\n", "Classification report for turbine 10, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.978842 0.976765 0.977802 19798\n", " 20 0.779799 0.795799 0.787718 2047\n", "\n", "avg / total 0.960190 0.959808 0.959990 21845\n", "\n", "Classification report for turbine 10, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.124555 0.315315 0.178571 222\n", " 11 0.104712 0.108499 0.106572 553\n", " 12 0.070727 0.066667 0.068637 540\n", " 13 0.054054 0.037175 0.044053 538\n", " 14 0.018072 0.011905 0.014354 504\n", " 15 0.000000 0.000000 0.000000 504\n", " 16 0.000000 0.000000 0.000000 477\n", " 17 0.016667 0.006410 0.009259 468\n", " 18 0.028777 0.008547 0.013180 468\n", " 19 0.796615 0.859155 0.826704 15833\n", " 20 0.654270 0.546605 0.595611 1738\n", "\n", "avg / total 0.637818 0.675303 0.654679 21845\n", "\n", "Classification report for turbine 10, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.786992 0.640212 0.706054 756\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.037037 0.041667 0.039216 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.003759 0.013889 0.005917 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.011834 0.027778 0.016598 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.947891 0.918915 0.933178 19202\n", " 20 0.651163 0.683448 0.666915 1311\n", "\n", "avg / total 0.899695 0.871183 0.884936 21845\n", "\n", "Classification report for turbine 10, turbine category 10\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.978867 0.973280 0.976066 19798\n", " 20.0 0.769703 0.796776 0.783005 2047\n", "\n", "avg / total 0.959267 0.956741 0.957975 21845\n", "\n", "Classification report for turbine 10, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 62\n", " 11 0.000000 0.000000 0.000000 360\n", " 12 0.000000 0.000000 0.000000 360\n", " 13 0.000000 0.000000 0.000000 360\n", " 14 0.000000 0.000000 0.000000 360\n", " 15 0.000000 0.000000 0.000000 360\n", " 16 0.090909 0.002959 0.005731 338\n", " 17 0.000000 0.000000 0.000000 324\n", " 18 0.000000 0.000000 0.000000 324\n", " 19 0.854102 0.978581 0.912114 17181\n", " 20 0.691651 0.802863 0.743119 1816\n", "\n", "avg / total 0.730652 0.836439 0.779239 21845\n", "\n", "Classification report for turbine 10, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.978842 0.976765 0.977802 19798\n", " 20 0.779799 0.795799 0.787718 2047\n", "\n", "avg / total 0.960190 0.959808 0.959990 21845\n", "\n", "Classification report for turbine 10, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.978842 0.976765 0.977802 19798\n", " 20 0.779799 0.795799 0.787718 2047\n", "\n", "avg / total 0.960190 0.959808 0.959990 21845\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 10, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986032 0.977765 0.981881 18844\n", " 20.0 0.954975 0.876375 0.913988 3001\n", "\n", "avg / total 0.981766 0.963836 0.972554 21845\n", "\n", "Classification report for turbine 10, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 47\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.966844 0.993081 0.979787 18499\n", " 20 0.933849 0.905493 0.919453 2931\n", "\n", "avg / total 0.944049 0.962463 0.953078 21845\n", "\n", "Classification report for turbine 10, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.984951 0.993314 0.989114 18844\n", " 20 0.955649 0.904698 0.929476 3001\n", "\n", "avg / total 0.980925 0.981140 0.980921 21845\n", "\n", "Classification report for turbine 10, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985180 0.991297 0.988229 18844\n", " 20.0 0.950092 0.862712 0.904296 3001\n", "\n", "avg / total 0.980360 0.973632 0.976699 21845\n", "\n", "Classification report for turbine 10, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985327 0.987105 0.986215 18844\n", " 20.0 0.951409 0.776408 0.855046 3001\n", "\n", "avg / total 0.980667 0.958160 0.968195 21845\n", "\n", "Classification report for turbine 10, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985063 0.990395 0.987722 18844\n", " 20.0 0.953588 0.890037 0.920717 3001\n", "\n", "avg / total 0.980739 0.976608 0.978517 21845\n", "\n", "Classification report for turbine 10, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.616766 0.301170 0.404715 342\n", " 11 0.000000 0.000000 0.000000 83\n", " 12 0.105263 0.083333 0.093023 72\n", " 13 0.011628 0.013889 0.012658 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.956019 0.982060 0.968865 18172\n", " 20 0.871123 0.859694 0.865371 2744\n", "\n", "avg / total 0.914739 0.929961 0.921346 21845\n", "\n", "Classification report for turbine 10, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 63\n", " 11 0.000000 0.000000 0.000000 99\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 51\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.964481 0.993173 0.978617 18455\n", " 20 0.932418 0.905641 0.918835 2925\n", "\n", "avg / total 0.939658 0.960311 0.949781 21845\n", "\n", "Classification report for turbine 10, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.153846 0.151724 0.152778 145\n", " 11 0.062016 0.031250 0.041558 256\n", " 12 0.026316 0.007937 0.012195 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.020408 0.015873 0.017857 252\n", " 16 0.016807 0.007937 0.010782 252\n", " 17 0.102564 0.016260 0.028070 246\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.888707 0.960080 0.923016 16984\n", " 20 0.873959 0.843316 0.858364 2738\n", "\n", "avg / total 0.804126 0.854063 0.827498 21845\n", "\n", "Classification report for turbine 10, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.757554 0.586630 0.661224 1795\n", " 11 0.138889 0.029499 0.048662 339\n", " 12 0.015957 0.010204 0.012448 294\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.000000 0.000000 0.000000 288\n", " 15 0.000000 0.000000 0.000000 288\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.867636 0.976451 0.918833 16561\n", " 20 0.578723 0.723404 0.643026 1128\n", "\n", "avg / total 0.752268 0.826413 0.785039 21845\n", "\n", "Classification report for turbine 10, turbine category 10\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985132 0.991562 0.988337 18844\n", " 20.0 0.955040 0.906031 0.929891 3001\n", "\n", "avg / total 0.980998 0.979812 0.980308 21845\n", "\n", "Classification report for turbine 10, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 11\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.958102 0.950565 0.954319 18307\n", " 20 0.935943 0.891223 0.913036 2951\n", "\n", "avg / total 0.929363 0.917006 0.923098 21845\n", "\n", "Classification report for turbine 10, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.984951 0.993314 0.989114 18844\n", " 20 0.955649 0.904698 0.929476 3001\n", "\n", "avg / total 0.980925 0.981140 0.980921 21845\n", "\n", "Classification report for turbine 10, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.984951 0.993314 0.989114 18844\n", " 20 0.955649 0.904698 0.929476 3001\n", "\n", "avg / total 0.980925 0.981140 0.980921 21845\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 10, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.461538 0.041958 0.076923 143\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 38\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.968081 0.974723 0.971391 14282\n", " 20 0.931203 0.970388 0.950392 7058\n", "\n", "avg / total 0.936808 0.951064 0.942654 21845\n", "\n", "Classification report for turbine 10, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 74\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.959216 0.978873 0.968945 14200\n", " 20 0.958611 0.966772 0.962674 7283\n", "\n", "avg / total 0.943119 0.958618 0.950798 21845\n", "\n", "Classification report for turbine 10, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.983311 0.979192 0.981248 14562\n", " 20 0.958742 0.966772 0.962740 7283\n", "\n", "avg / total 0.975120 0.975051 0.975077 21845\n", "\n", "Classification report for turbine 10, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.963083 0.977860 0.970415 14273\n", " 20 0.956833 0.956438 0.956635 7277\n", "\n", "avg / total 0.947995 0.957519 0.952720 21845\n", "\n", "Classification report for turbine 10, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 25\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.944099 0.978401 0.960944 13982\n", " 20 0.955716 0.965850 0.960756 7262\n", "\n", "avg / total 0.921987 0.947311 0.934444 21845\n", "\n", "Classification report for turbine 10, turbine category 5\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.982881 0.977819 0.980344 14562\n", " 20.0 0.957067 0.921324 0.938855 7283\n", "\n", "avg / total 0.974275 0.958984 0.966512 21845\n", "\n", "Classification report for turbine 10, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 636\n", " 11 0.000000 0.000000 0.000000 95\n", " 12 0.000000 0.000000 0.000000 45\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.166667 0.027778 0.047619 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.958919 0.975269 0.967025 14193\n", " 20 0.868086 0.912012 0.889507 6660\n", "\n", "avg / total 0.887956 0.911742 0.899557 21845\n", "\n", "Classification report for turbine 10, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.983573 0.978574 0.981067 14562\n", " 20.0 0.958753 0.967047 0.962882 7283\n", "\n", "avg / total 0.975298 0.974731 0.975004 21845\n", "\n", "Classification report for turbine 10, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.201102 0.477124 0.282946 153\n", " 11 0.000000 0.000000 0.000000 116\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.921462 0.962140 0.941362 13682\n", " 20 0.948075 0.879938 0.912737 7138\n", "\n", "avg / total 0.888330 0.893477 0.889820 21845\n", "\n", "Classification report for turbine 10, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.002971 0.151163 0.005828 86\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.954280 0.967339 0.960765 14176\n", " 20 0.867500 0.346653 0.495360 7007\n", "\n", "avg / total 0.897537 0.739528 0.782389 21845\n", "\n", "Classification report for turbine 10, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.983311 0.979192 0.981248 14562\n", " 20 0.958742 0.966772 0.962740 7283\n", "\n", "avg / total 0.975120 0.975051 0.975077 21845\n", "\n", "Classification report for turbine 10, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 24\n", " 11 0.083333 0.013889 0.023810 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.046512 0.013889 0.021390 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.918172 0.962775 0.939945 13566\n", " 20 0.939953 0.960862 0.950292 7103\n", "\n", "avg / total 0.876682 0.910506 0.893006 21845\n", "\n", "Classification report for turbine 10, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.983311 0.979192 0.981248 14562\n", " 20 0.958742 0.966772 0.962740 7283\n", "\n", "avg / total 0.975120 0.975051 0.975077 21845\n", "\n", "Classification report for turbine 10, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.983311 0.979192 0.981248 14562\n", " 20 0.958742 0.966772 0.962740 7283\n", "\n", "avg / total 0.975120 0.975051 0.975077 21845\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 10, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996221 0.994015 0.995117 21219\n", " 20.0 0.855769 0.853035 0.854400 626\n", "\n", "avg / total 0.992197 0.989975 0.991084 21845\n", "\n", "Classification report for turbine 10, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995937 0.993449 0.994692 21219\n", " 20.0 0.838863 0.848243 0.843527 626\n", "\n", "avg / total 0.991436 0.989288 0.990360 21845\n", "\n", "Classification report for turbine 10, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.995946 0.995617 0.995781 21219\n", " 20 0.853081 0.862620 0.857824 626\n", "\n", "avg / total 0.991852 0.991806 0.991828 21845\n", "\n", "Classification report for turbine 10, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996035 0.994533 0.995284 21219\n", " 20.0 0.839934 0.813099 0.826299 626\n", "\n", "avg / total 0.991562 0.989334 0.990441 21845\n", "\n", "Classification report for turbine 10, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996079 0.993685 0.994881 21219\n", " 20.0 0.840062 0.864217 0.851969 626\n", "\n", "avg / total 0.991608 0.989975 0.990785 21845\n", "\n", "Classification report for turbine 10, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 154\n", " 11 0.000000 0.000000 0.000000 224\n", " 12 0.000000 0.000000 0.000000 198\n", " 13 0.000000 0.000000 0.000000 168\n", " 14 0.000000 0.000000 0.000000 138\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.937842 0.994947 0.965551 19987\n", " 20 0.756800 0.869485 0.809239 544\n", "\n", "avg / total 0.876921 0.931975 0.903579 21845\n", "\n", "Classification report for turbine 10, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 10\n", " 11 0.000000 0.000000 0.000000 56\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 43\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.981757 0.993211 0.987451 20915\n", " 20 0.757188 0.833040 0.793305 569\n", "\n", "avg / total 0.959684 0.972625 0.966076 21845\n", "\n", "Classification report for turbine 10, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995895 0.994675 0.995284 21219\n", " 20.0 0.850722 0.846645 0.848679 626\n", "\n", "avg / total 0.991735 0.990433 0.991083 21845\n", "\n", "Classification report for turbine 10, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.761905 0.727273 0.744186 110\n", " 11 0.100000 0.013889 0.024390 144\n", " 12 0.000000 0.000000 0.000000 124\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 84\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.956689 0.986746 0.971485 20371\n", " 20 0.769663 0.809055 0.788868 508\n", "\n", "avg / total 0.914530 0.942733 0.928187 21845\n", "\n", "Classification report for turbine 10, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996013 0.988878 0.992432 21219\n", " 20.0 0.848229 0.803514 0.825267 626\n", "\n", "avg / total 0.991778 0.983566 0.987642 21845\n", "\n", "Classification report for turbine 10, turbine category 10\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995945 0.995523 0.995734 21219\n", " 20.0 0.853081 0.862620 0.857824 626\n", "\n", "avg / total 0.991851 0.991714 0.991782 21845\n", "\n", "Classification report for turbine 10, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.055556 0.009259 0.015873 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.955671 0.988354 0.971738 20351\n", " 20 0.824534 0.866232 0.844869 613\n", "\n", "avg / total 0.913724 0.945113 0.929066 21845\n", "\n", "Classification report for turbine 10, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.995946 0.995617 0.995781 21219\n", " 20 0.853081 0.862620 0.857824 626\n", "\n", "avg / total 0.991852 0.991806 0.991828 21845\n", "\n", "Classification report for turbine 10, turbine category 13\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.983547 0.995562 0.989518 20956\n", " 20 0.796209 0.857143 0.825553 588\n", "\n", "avg / total 0.964952 0.978119 0.971470 21845\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 10, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.998067 0.997644 0.997856 21225\n", " 20.0 0.938412 0.933871 0.936136 620\n", "\n", "avg / total 0.996374 0.995834 0.996104 21845\n", "\n", "Classification report for turbine 10, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.998019 0.997032 0.997525 21225\n", " 20.0 0.930757 0.932258 0.931507 620\n", "\n", "avg / total 0.996110 0.995193 0.995652 21845\n", "\n", "Classification report for turbine 10, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.998021 0.998115 0.998068 21225\n", " 20 0.935275 0.932258 0.933764 620\n", "\n", "avg / total 0.996241 0.996246 0.996243 21845\n", "\n", "Classification report for turbine 10, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.998021 0.997974 0.997998 21225\n", " 20.0 0.929577 0.851613 0.888889 620\n", "\n", "avg / total 0.996079 0.993820 0.994901 21845\n", "\n", "Classification report for turbine 10, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.984537 0.997373 0.990914 20939\n", " 20 0.905229 0.918740 0.911934 603\n", "\n", "avg / total 0.968692 0.981369 0.974989 21845\n", "\n", "Classification report for turbine 10, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.043478 0.083333 23\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.972855 0.994345 0.983483 20689\n", " 20 0.837662 0.926391 0.879795 557\n", "\n", "avg / total 0.943785 0.965393 0.953959 21845\n", "\n", "Classification report for turbine 10, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 85\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.421053 0.046243 0.083333 173\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.936697 0.995132 0.965031 19925\n", " 20 0.582000 0.664384 0.620469 438\n", "\n", "avg / total 0.869373 0.921355 0.893313 21845\n", "\n", "Classification report for turbine 10, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.998021 0.997739 0.997880 21225\n", " 20.0 0.935275 0.932258 0.933764 620\n", "\n", "avg / total 0.996240 0.995880 0.996060 21845\n", "\n", "Classification report for turbine 10, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.040000 0.021739 0.028169 46\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.973532 0.989376 0.981390 20707\n", " 20 0.766892 0.879845 0.819495 516\n", "\n", "avg / total 0.941015 0.958663 0.949681 21845\n", "\n", "Classification report for turbine 10, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.984284 0.996179 0.990195 20935\n", " 20 0.909278 0.714749 0.800363 617\n", "\n", "avg / total 0.968963 0.974868 0.971552 21845\n", "\n", "Classification report for turbine 10, turbine category 10\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.998021 0.998021 0.998021 21225\n", " 20.0 0.935275 0.932258 0.933764 620\n", "\n", "avg / total 0.996240 0.996155 0.996197 21845\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 10, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 24\n", " 11 0.017544 0.006944 0.009950 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.076923 0.006944 0.012739 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.058824 0.006944 0.012422 144\n", " 19 0.943878 0.987686 0.965285 20059\n", " 20 0.910569 0.918033 0.914286 610\n", "\n", "avg / total 0.893146 0.932708 0.912128 21845\n", "\n", "Classification report for turbine 10, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.998021 0.998115 0.998068 21225\n", " 20 0.935275 0.932258 0.933764 620\n", "\n", "avg / total 0.996241 0.996246 0.996243 21845\n", "\n", "Classification report for turbine 10, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.988643 0.997860 0.993230 21024\n", " 20 0.784790 0.920304 0.847162 527\n", "\n", "avg / total 0.970419 0.982559 0.976339 21845\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 11, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.964248 0.993788 0.978795 16582\n", " 20 0.910950 0.860920 0.885229 3933\n", "\n", "avg / total 0.940641 0.954727 0.947373 20807\n", "\n", "Classification report for turbine 11, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.966317 0.980420 0.973318 16650\n", " 20.0 0.965508 0.855184 0.907003 4157\n", "\n", "avg / total 0.966156 0.955400 0.960069 20807\n", "\n", "Classification report for turbine 11, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.967174 0.992733 0.979787 16650\n", " 20 0.967447 0.865047 0.913386 4157\n", "\n", "avg / total 0.967228 0.967223 0.966520 20807\n", "\n", "Classification report for turbine 11, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.972807 0.971171 0.971988 16650\n", " 20.0 0.964027 0.863844 0.911190 4157\n", "\n", "avg / total 0.971053 0.949728 0.959842 20807\n", "\n", "Classification report for turbine 11, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.967174 0.992733 0.979787 16650\n", " 20 0.967447 0.865047 0.913386 4157\n", "\n", "avg / total 0.967228 0.967223 0.966520 20807\n", "\n", "Classification report for turbine 11, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.967174 0.992733 0.979787 16650\n", " 20 0.967447 0.865047 0.913386 4157\n", "\n", "avg / total 0.967228 0.967223 0.966520 20807\n", "\n", "Classification report for turbine 11, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1111\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.905626 0.991984 0.946840 15594\n", " 20 0.737749 0.846201 0.788262 3238\n", "\n", "avg / total 0.793539 0.875138 0.832288 20807\n", "\n", "Classification report for turbine 11, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 47\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.948342 0.971285 0.959676 16368\n", " 20 0.953769 0.829435 0.887267 4104\n", "\n", "avg / total 0.934143 0.927669 0.929943 20807\n", "\n", "Classification report for turbine 11, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.073171 0.352941 0.121212 136\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.056604 0.033333 0.041958 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.014286 0.006173 0.008621 162\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.906789 0.934025 0.920206 15415\n", " 20 0.939233 0.800402 0.864278 3978\n", "\n", "avg / total 0.852448 0.847647 0.848200 20807\n", "\n", "Classification report for turbine 11, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.648148 0.421995 0.511175 2737\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.068966 0.007937 0.014235 252\n", " 17 0.095238 0.023810 0.038095 252\n", " 18 0.055556 0.007937 0.013889 252\n", " 19 0.849462 0.978270 0.909327 14680\n", " 20 0.338188 0.456332 0.388476 1374\n", "\n", "avg / total 0.709575 0.776325 0.735255 20807\n", "\n", "Classification report for turbine 11, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.970479 0.987207 0.978772 16650\n", " 20.0 0.965630 0.851576 0.905024 4157\n", "\n", "avg / total 0.969510 0.960110 0.964038 20807\n", "\n", "Classification report for turbine 11, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 49\n", " 11 0.000000 0.000000 0.000000 288\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.000000 0.000000 0.000000 273\n", " 15 0.068966 0.007937 0.014235 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.045455 0.003968 0.007299 252\n", " 18 0.025641 0.004425 0.007547 226\n", " 19 0.857652 0.986610 0.917622 14638\n", " 20 0.937385 0.894276 0.915324 4001\n", "\n", "avg / total 0.785285 0.866247 0.821911 20807\n", "\n", "Classification report for turbine 11, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.967174 0.992733 0.979787 16650\n", " 20 0.967447 0.865047 0.913386 4157\n", "\n", "avg / total 0.967228 0.967223 0.966520 20807\n", "\n", "Classification report for turbine 11, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.967174 0.992733 0.979787 16650\n", " 20 0.967447 0.865047 0.913386 4157\n", "\n", "avg / total 0.967228 0.967223 0.966520 20807\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 11, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 26\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.961734 0.988348 0.974860 18538\n", " 20 0.858135 0.758056 0.804997 1955\n", "\n", "avg / total 0.937487 0.951795 0.944188 20807\n", "\n", "Classification report for turbine 11, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.975171 0.984565 0.979846 18789\n", " 20.0 0.846111 0.760159 0.800835 2018\n", "\n", "avg / total 0.962654 0.962801 0.962484 20807\n", "\n", "Classification report for turbine 11, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.975207 0.990207 0.982650 18789\n", " 20 0.893580 0.765610 0.824660 2018\n", "\n", "avg / total 0.967290 0.968424 0.967327 20807\n", "\n", "Classification report for turbine 11, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.003968 0.007843 252\n", " 11 0.000000 0.000000 0.000000 292\n", " 12 0.333333 0.003968 0.007843 252\n", " 13 0.000000 0.000000 0.000000 236\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 183\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.886863 0.981987 0.932004 17043\n", " 20 0.725693 0.745120 0.735278 1793\n", "\n", "avg / total 0.797039 0.868650 0.826955 20807\n", "\n", "Classification report for turbine 11, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.975207 0.990207 0.982650 18789\n", " 20 0.893580 0.765610 0.824660 2018\n", "\n", "avg / total 0.967290 0.968424 0.967327 20807\n", "\n", "Classification report for turbine 11, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.975207 0.990207 0.982650 18789\n", " 20 0.893580 0.765610 0.824660 2018\n", "\n", "avg / total 0.967290 0.968424 0.967327 20807\n", "\n", "Classification report for turbine 11, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.976127 0.979296 0.977709 18789\n", " 20.0 0.830758 0.559465 0.668641 2018\n", "\n", "avg / total 0.962028 0.938578 0.947734 20807\n", "\n", "Classification report for turbine 11, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.974671 0.981000 0.977825 18789\n", " 20.0 0.831346 0.725471 0.774808 2018\n", "\n", "avg / total 0.960770 0.956217 0.958135 20807\n", "\n", "Classification report for turbine 11, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.969220 0.964977 0.967094 18502\n", " 20 0.846504 0.739692 0.789502 2013\n", "\n", "avg / total 0.943746 0.929639 0.936340 20807\n", "\n", "Classification report for turbine 11, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.785256 0.270569 0.402464 1811\n", " 11 0.000000 0.000000 0.000000 103\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.932888 0.980693 0.956193 17817\n", " 20 0.391681 0.790210 0.523754 572\n", "\n", "avg / total 0.877946 0.885039 0.868215 20807\n", "\n", "Classification report for turbine 11, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.968771 0.985593 0.977110 18602\n", " 20 0.786156 0.731031 0.757592 1911\n", "\n", "avg / total 0.938311 0.948287 0.943142 20807\n", "\n", "Classification report for turbine 11, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.100000 0.083333 0.090909 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.949290 0.976357 0.962633 18272\n", " 20 0.839617 0.766307 0.801289 1947\n", "\n", "avg / total 0.912258 0.929158 0.920384 20807\n", "\n", "Classification report for turbine 11, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.975207 0.990207 0.982650 18789\n", " 20 0.893580 0.765610 0.824660 2018\n", "\n", "avg / total 0.967290 0.968424 0.967327 20807\n", "\n", "Classification report for turbine 11, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.975207 0.990207 0.982650 18789\n", " 20 0.893580 0.765610 0.824660 2018\n", "\n", "avg / total 0.967290 0.968424 0.967327 20807\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 11, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.963903 0.985256 0.974462 13497\n", " 20.0 0.972037 0.917784 0.944132 7310\n", "\n", "avg / total 0.966760 0.961551 0.963806 20807\n", "\n", "Classification report for turbine 11, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.943732 0.985774 0.964295 13356\n", " 20 0.956733 0.908088 0.931776 7159\n", "\n", "avg / total 0.934961 0.945211 0.939573 20807\n", "\n", "Classification report for turbine 11, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.954399 0.986219 0.970048 13497\n", " 20 0.972886 0.912996 0.941990 7310\n", "\n", "avg / total 0.960894 0.960494 0.960191 20807\n", "\n", "Classification report for turbine 11, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.934452 0.981910 0.957594 13212\n", " 20 0.971683 0.911793 0.940786 7301\n", "\n", "avg / total 0.934312 0.943432 0.938165 20807\n", "\n", "Classification report for turbine 11, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 269\n", " 11 0.000000 0.000000 0.000000 42\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.940919 0.986024 0.962944 13309\n", " 20 0.923178 0.913194 0.918159 6935\n", "\n", "avg / total 0.909546 0.935070 0.921961 20807\n", "\n", "Classification report for turbine 11, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.954399 0.986219 0.970048 13497\n", " 20 0.972886 0.912996 0.941990 7310\n", "\n", "avg / total 0.960894 0.960494 0.960191 20807\n", "\n", "Classification report for turbine 11, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.955971 0.984515 0.970033 13497\n", " 20.0 0.973193 0.883995 0.926452 7310\n", "\n", "avg / total 0.962022 0.949200 0.954722 20807\n", "\n", "Classification report for turbine 11, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.954007 0.985108 0.969308 13497\n", " 20.0 0.972173 0.903283 0.936463 7310\n", "\n", "avg / total 0.960389 0.956361 0.957769 20807\n", "\n", "Classification report for turbine 11, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.303030 0.132979 0.184843 376\n", " 11 0.000000 0.000000 0.000000 183\n", " 12 0.055556 0.012987 0.021053 154\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.200000 0.005917 0.011494 169\n", " 19 0.860419 0.974437 0.913886 12127\n", " 20 0.945877 0.896298 0.920421 7078\n", "\n", "avg / total 0.830755 0.875378 0.849335 20807\n", "\n", "Classification report for turbine 11, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.006953 0.562500 0.013736 80\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.911859 0.944374 0.927832 12620\n", " 20 0.910510 0.120806 0.213311 7243\n", "\n", "avg / total 0.870046 0.617004 0.637062 20807\n", "\n", "Classification report for turbine 11, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.955584 0.981922 0.968574 13497\n", " 20.0 0.973246 0.910670 0.940919 7310\n", "\n", "avg / total 0.961789 0.956890 0.958858 20807\n", "\n", "Classification report for turbine 11, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.166667 0.013889 0.025641 72\n", " 14 0.052632 0.013889 0.021978 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.915600 0.974091 0.943941 12930\n", " 20 0.970110 0.917398 0.943018 7288\n", "\n", "avg / total 0.909534 0.926755 0.917062 20807\n", "\n", "Classification report for turbine 11, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.954399 0.986219 0.970048 13497\n", " 20 0.972886 0.912996 0.941990 7310\n", "\n", "avg / total 0.960894 0.960494 0.960191 20807\n", "\n", "Classification report for turbine 11, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.954399 0.986219 0.970048 13497\n", " 20 0.972886 0.912996 0.941990 7310\n", "\n", "avg / total 0.960894 0.960494 0.960191 20807\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 11, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.962097 0.991610 0.976630 18712\n", " 20 0.877822 0.736490 0.800969 1795\n", "\n", "avg / total 0.940955 0.955304 0.947395 20807\n", "\n", "Classification report for turbine 11, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.975219 0.990157 0.982631 18998\n", " 20.0 0.880053 0.734107 0.800482 1809\n", "\n", "avg / total 0.966945 0.967895 0.966795 20807\n", "\n", "Classification report for turbine 11, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.975180 0.990631 0.982845 18998\n", " 20 0.881963 0.735213 0.801929 1809\n", "\n", "avg / total 0.967076 0.968424 0.967116 20807\n", "\n", "Classification report for turbine 11, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.975920 0.985577 0.980725 18998\n", " 20.0 0.868598 0.712548 0.782873 1809\n", "\n", "avg / total 0.966589 0.961840 0.963523 20807\n", "\n", "Classification report for turbine 11, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 96\n", " 11 0.000000 0.000000 0.000000 44\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.958424 0.991207 0.974540 18652\n", " 20 0.854695 0.707317 0.774053 1763\n", "\n", "avg / total 0.931578 0.948479 0.939192 20807\n", "\n", "Classification report for turbine 11, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.975180 0.990631 0.982845 18998\n", " 20 0.881963 0.735213 0.801929 1809\n", "\n", "avg / total 0.967076 0.968424 0.967116 20807\n", "\n", "Classification report for turbine 11, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.010753 0.010989 0.010870 91\n", " 11 0.000000 0.000000 0.000000 226\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 181\n", " 15 0.000000 0.000000 0.000000 147\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.500000 0.006944 0.013699 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.904789 0.990918 0.945897 17617\n", " 20 0.799293 0.672814 0.730620 1681\n", "\n", "avg / total 0.834155 0.893449 0.860047 20807\n", "\n", "Classification report for turbine 11, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.975462 0.989736 0.982547 18998\n", " 20.0 0.879868 0.736871 0.802046 1809\n", "\n", "avg / total 0.967151 0.967751 0.966854 20807\n", "\n", "Classification report for turbine 11, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.211538 0.222222 0.216749 198\n", " 11 0.071429 0.003472 0.006623 288\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.038462 0.003472 0.006369 288\n", " 15 0.000000 0.000000 0.000000 288\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 263\n", " 19 0.861590 0.978383 0.916280 16746\n", " 20 0.799298 0.719066 0.757062 1584\n", "\n", "avg / total 0.757813 0.844379 0.797321 20807\n", "\n", "Classification report for turbine 11, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.393617 0.194532 0.260380 951\n", " 11 0.000000 0.000000 0.000000 319\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.000000 0.000000 0.000000 288\n", " 15 0.050000 0.004329 0.007968 231\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.871558 0.983546 0.924172 16896\n", " 20 0.551249 0.712695 0.621661 898\n", "\n", "avg / total 0.750072 0.838372 0.789279 20807\n", "\n", "Classification report for turbine 11, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.975926 0.987946 0.981899 18998\n", " 20.0 0.872000 0.723051 0.790571 1809\n", "\n", "avg / total 0.966890 0.964916 0.965265 20807\n", "\n", "Classification report for turbine 11, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.200000 0.076923 0.111111 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.032258 0.013889 0.019417 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.951279 0.984011 0.967369 18513\n", " 20 0.812253 0.723167 0.765126 1705\n", "\n", "avg / total 0.913195 0.934878 0.923549 20807\n", "\n", "Classification report for turbine 11, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.975180 0.990631 0.982845 18998\n", " 20 0.881963 0.735213 0.801929 1809\n", "\n", "avg / total 0.967076 0.968424 0.967116 20807\n", "\n", "Classification report for turbine 11, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960153 0.990485 0.975084 18708\n", " 20 0.871353 0.733259 0.796364 1792\n", "\n", "avg / total 0.938339 0.953717 0.945304 20807\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 11, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989349 0.995901 0.992614 19027\n", " 20.0 0.954851 0.879213 0.915472 1780\n", "\n", "avg / total 0.986398 0.985918 0.986015 20807\n", "\n", "Classification report for turbine 11, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988836 0.996216 0.992512 19027\n", " 20.0 0.960074 0.878090 0.917254 1780\n", "\n", "avg / total 0.986376 0.986110 0.986074 20807\n", "\n", "Classification report for turbine 11, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.989047 0.996584 0.992801 19027\n", " 20 0.960245 0.882022 0.919473 1780\n", "\n", "avg / total 0.986583 0.986783 0.986528 20807\n", "\n", "Classification report for turbine 11, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 31\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980184 0.994008 0.987048 18860\n", " 20 0.866913 0.864251 0.865580 1628\n", "\n", "avg / total 0.956294 0.968616 0.962411 20807\n", "\n", "Classification report for turbine 11, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989035 0.995480 0.992247 19027\n", " 20.0 0.959309 0.874157 0.914756 1780\n", "\n", "avg / total 0.986492 0.985101 0.985618 20807\n", "\n", "Classification report for turbine 11, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1127\n", " 11 0.000000 0.000000 0.000000 720\n", " 12 0.000000 0.000000 0.000000 300\n", " 13 0.000000 0.000000 0.000000 159\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.893021 0.997902 0.942553 17157\n", " 20 0.405505 0.824627 0.543665 804\n", "\n", "avg / total 0.752035 0.854712 0.798216 20807\n", "\n", "Classification report for turbine 11, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 20\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.920610 0.995257 0.956479 17710\n", " 20 0.885609 0.879658 0.882623 1637\n", "\n", "avg / total 0.853258 0.916326 0.883554 20807\n", "\n", "Classification report for turbine 11, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989189 0.995480 0.992325 19027\n", " 20.0 0.958435 0.880899 0.918033 1780\n", "\n", "avg / total 0.986559 0.985678 0.985969 20807\n", "\n", "Classification report for turbine 11, turbine category 8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.255000 0.142857 0.183124 357\n", " 11 0.071429 0.005348 0.009950 187\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.125000 0.005556 0.010638 180\n", " 15 0.000000 0.000000 0.000000 167\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.052632 0.006944 0.012270 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.914295 0.990724 0.950976 17573\n", " 20 0.842324 0.785300 0.812813 1551\n", "\n", "avg / total 0.841439 0.897871 0.867165 20807\n", "\n", "Classification report for turbine 11, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.154242 0.389610 0.220994 154\n", " 11 0.000000 0.000000 0.000000 324\n", " 12 0.000000 0.000000 0.000000 324\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.000000 0.000000 0.000000 324\n", " 15 0.050000 0.003086 0.005814 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 324\n", " 18 0.000000 0.000000 0.000000 324\n", " 19 0.857067 0.985076 0.916624 16484\n", " 20 0.886018 0.739379 0.806084 1577\n", "\n", "avg / total 0.748071 0.839381 0.789001 20807\n", "\n", "Classification report for turbine 11, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974991 0.995894 0.985331 18751\n", " 20 0.946602 0.888889 0.916838 1755\n", "\n", "avg / total 0.958492 0.972461 0.965300 20807\n", "\n", "Classification report for turbine 11, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.947401 0.993687 0.969992 18217\n", " 20 0.913939 0.883421 0.898421 1707\n", "\n", "avg / total 0.904451 0.942471 0.922957 20807\n", "\n", "Classification report for turbine 11, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 66\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 68\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.966201 0.996611 0.981170 18587\n", " 20 0.930275 0.881228 0.905088 1726\n", "\n", "avg / total 0.940281 0.963378 0.951564 20807\n", "\n", "Classification report for turbine 11, turbine category 13\n", " precision recall f1-score support\n", "\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989045 0.996479 0.992748 19027\n", " 20.0 0.960245 0.882022 0.919473 1780\n", "\n", "avg / total 0.986582 0.986687 0.986480 20807\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 12, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.790036 0.651504 0.714113 2726\n", "\n", "avg / total 0.918162 0.934474 0.925144 21747\n", "\n", "Classification report for turbine 12, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "Classification report for turbine 12, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "Classification report for turbine 12, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "Classification report for turbine 12, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "Classification report for turbine 12, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.951000 0.987559 0.968935 18729\n", " 20.0 0.917827 0.677270 0.779409 3018\n", "\n", "avg / total 0.946396 0.944498 0.942633 21747\n", "\n", "Classification report for turbine 12, turbine category 6\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "Classification report for turbine 12, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "Classification report for turbine 12, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.017094 0.040000 0.023952 50\n", " 11 0.090909 0.018519 0.030769 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.052632 0.009259 0.015748 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.906583 0.984107 0.943756 17869\n", " 20 0.890900 0.630904 0.738692 2964\n", "\n", "avg / total 0.867096 0.894836 0.876428 21747\n", "\n", "Classification report for turbine 12, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.958333 0.252549 0.399752 1275\n", " 11 0.000000 0.000000 0.000000 216\n", " 12 0.028777 0.018519 0.022535 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.037037 0.005348 0.009346 187\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.057692 0.016667 0.025862 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.873759 0.964901 0.917071 17237\n", " 20 0.646570 0.740476 0.690344 1680\n", "\n", "avg / total 0.799771 0.837173 0.804170 21747\n", "\n", "Classification report for turbine 12, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "Classification report for turbine 12, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 55\n", " 11 0.142857 0.003086 0.006042 324\n", " 12 0.000000 0.000000 0.000000 324\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.000000 0.000000 0.000000 324\n", " 15 0.000000 0.000000 0.000000 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 297\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.842873 0.986613 0.909096 16583\n", " 20 0.777482 0.679845 0.725393 2580\n", "\n", "avg / total 0.737092 0.833034 0.779372 21747\n", "\n", "Classification report for turbine 12, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Classification report for turbine 12, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.951126 0.990229 0.970284 18729\n", " 20 0.918594 0.684228 0.784276 3018\n", "\n", "avg / total 0.946611 0.947763 0.944470 21747\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 12, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.939625 0.979257 0.959032 15861\n", " 20 0.925875 0.851037 0.886880 5592\n", "\n", "avg / total 0.923387 0.933048 0.927514 21747\n", "\n", "Classification report for turbine 12, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.939580 0.978932 0.958852 15806\n", " 20 0.935404 0.874911 0.904147 5644\n", "\n", "avg / total 0.925664 0.938566 0.931560 21747\n", "\n", "Classification report for turbine 12, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.957068 0.979309 0.968061 16094\n", " 20 0.936920 0.874934 0.904866 5653\n", "\n", "avg / total 0.951831 0.952177 0.951634 21747\n", "\n", "Classification report for turbine 12, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 152\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 78\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.922881 0.978622 0.949934 15530\n", " 20 0.881606 0.871699 0.876625 5339\n", "\n", "avg / total 0.875488 0.912862 0.893584 21747\n", "\n", "Classification report for turbine 12, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.957068 0.979309 0.968061 16094\n", " 20 0.936920 0.874934 0.904866 5653\n", "\n", "avg / total 0.951831 0.952177 0.951634 21747\n", "\n", "Classification report for turbine 12, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.957010 0.979309 0.968031 16094\n", " 20.0 0.936896 0.874580 0.904666 5653\n", "\n", "avg / total 0.951782 0.952085 0.951560 21747\n", "\n", "Classification report for turbine 12, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1082\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.861610 0.977204 0.915774 14520\n", " 20 0.873840 0.873509 0.873674 5281\n", "\n", "avg / total 0.787480 0.864579 0.823604 21747\n", "\n", "Classification report for turbine 12, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.948810 0.979133 0.963733 15958\n", " 20 0.905475 0.871786 0.888311 5483\n", "\n", "avg / total 0.924533 0.938290 0.931156 21747\n", "\n", "Classification report for turbine 12, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.458333 0.004213 0.008349 2611\n", " 11 0.000000 0.000000 0.000000 703\n", " 12 0.000000 0.000000 0.000000 480\n", " 13 0.000000 0.000000 0.000000 426\n", " 14 0.043478 0.005540 0.009828 361\n", " 15 0.000000 0.000000 0.000000 296\n", " 16 0.000000 0.000000 0.000000 249\n", " 17 0.024038 0.023148 0.023585 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.805656 0.967027 0.878996 13405\n", " 20 0.458994 0.862428 0.599127 2784\n", "\n", "avg / total 0.611360 0.707316 0.619918 21747\n", "\n", "Classification report for turbine 12, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.450481 0.783477 0.572048 1852\n", " 11 0.018519 0.005348 0.008299 374\n", " 12 0.000000 0.000000 0.000000 351\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.015152 0.003086 0.005128 324\n", " 15 0.000000 0.000000 0.000000 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 303\n", " 18 0.000000 0.000000 0.000000 281\n", " 19 0.863201 0.953903 0.906288 14361\n", " 20 0.597374 0.466029 0.523590 2929\n", "\n", "avg / total 0.689395 0.759553 0.717938 21747\n", "\n", "Classification report for turbine 12, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.957068 0.979309 0.968061 16094\n", " 20 0.936920 0.874934 0.904866 5653\n", "\n", "avg / total 0.951831 0.952177 0.951634 21747\n", "\n", "Classification report for turbine 12, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.160000 0.166667 0.163265 24\n", " 11 0.027027 0.013889 0.018349 144\n", " 12 0.022727 0.006944 0.010638 144\n", " 13 0.062500 0.013889 0.022727 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.915534 0.958932 0.936731 15316\n", " 20 0.859487 0.867174 0.863313 5255\n", "\n", "avg / total 0.853402 0.885318 0.868858 21747\n", "\n", "Classification report for turbine 12, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.957068 0.979309 0.968061 16094\n", " 20 0.936920 0.874934 0.904866 5653\n", "\n", "avg / total 0.951831 0.952177 0.951634 21747\n", "\n", "Classification report for turbine 12, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.957068 0.979309 0.968061 16094\n", " 20 0.936920 0.874934 0.904866 5653\n", "\n", "avg / total 0.951831 0.952177 0.951634 21747\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 12, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.938550 0.989062 0.963145 16091\n", " 20.0 0.965257 0.815417 0.884033 5656\n", "\n", "avg / total 0.945496 0.943900 0.942569 21747\n", "\n", "Classification report for turbine 12, turbine category 1\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.938178 0.989311 0.963066 16091\n", " 20.0 0.966436 0.814533 0.884007 5656\n", "\n", "avg / total 0.945527 0.943854 0.942504 21747\n", "\n", "Classification report for turbine 12, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.938166 0.990057 0.963413 16091\n", " 20 0.966429 0.814356 0.883899 5656\n", "\n", "avg / total 0.945517 0.944360 0.942733 21747\n", "\n", "Classification report for turbine 12, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.916740 0.985213 0.949744 15825\n", " 20 0.962036 0.792607 0.869142 5627\n", "\n", "avg / total 0.916025 0.922012 0.916005 21747\n", "\n", "Classification report for turbine 12, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.938166 0.990057 0.963413 16091\n", " 20 0.966429 0.814356 0.883899 5656\n", "\n", "avg / total 0.945517 0.944360 0.942733 21747\n", "\n", "Classification report for turbine 12, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.938221 0.990057 0.963442 16091\n", " 20.0 0.966394 0.813472 0.883364 5656\n", "\n", "avg / total 0.945549 0.944130 0.942615 21747\n", "\n", "Classification report for turbine 12, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.938027 0.989559 0.963104 16091\n", " 20.0 0.966170 0.802864 0.876980 5656\n", "\n", "avg / total 0.945346 0.941003 0.940705 21747\n", "\n", "Classification report for turbine 12, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.938004 0.990119 0.963357 16091\n", " 20.0 0.966363 0.807638 0.879900 5656\n", "\n", "avg / total 0.945380 0.942659 0.941651 21747\n", "\n", "Classification report for turbine 12, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 170\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.929060 0.958662 0.943629 15724\n", " 20 0.868949 0.534016 0.661502 5277\n", "\n", "avg / total 0.882604 0.822734 0.842800 21747\n", "\n", "Classification report for turbine 12, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.002339 0.072165 0.004531 97\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 95\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.912151 0.975062 0.942558 15398\n", " 20 0.918797 0.328436 0.483897 5581\n", "\n", "avg / total 0.881654 0.775003 0.791584 21747\n", "\n", "Classification report for turbine 12, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.938166 0.990057 0.963413 16091\n", " 20 0.966429 0.814356 0.883899 5656\n", "\n", "avg / total 0.945517 0.944360 0.942733 21747\n", "\n", "Classification report for turbine 12, turbine category 11\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.033520 0.041667 0.037152 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.026316 0.006944 0.010989 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.876833 0.962877 0.917843 15031\n", " 20 0.949892 0.797005 0.866758 5542\n", "\n", "avg / total 0.848512 0.868947 0.855594 21747\n", "\n", "Classification report for turbine 12, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.938166 0.990057 0.963413 16091\n", " 20 0.966429 0.814356 0.883899 5656\n", "\n", "avg / total 0.945517 0.944360 0.942733 21747\n", "\n", "Classification report for turbine 12, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.938166 0.990057 0.963413 16091\n", " 20 0.966429 0.814356 0.883899 5656\n", "\n", "avg / total 0.945517 0.944360 0.942733 21747\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 12, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984592 0.992037 0.988300 19968\n", " 20.0 0.903525 0.821248 0.860424 1779\n", "\n", "avg / total 0.977960 0.978066 0.977840 21747\n", "\n", "Classification report for turbine 12, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984495 0.992137 0.988302 19968\n", " 20.0 0.905556 0.824621 0.863195 1779\n", "\n", "avg / total 0.978038 0.978434 0.978067 21747\n", "\n", "Classification report for turbine 12, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.984498 0.992338 0.988403 19968\n", " 20 0.905556 0.824621 0.863195 1779\n", "\n", "avg / total 0.978041 0.978618 0.978160 21747\n", "\n", "Classification report for turbine 12, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984172 0.990234 0.987194 19968\n", " 20.0 0.908010 0.815627 0.859343 1779\n", "\n", "avg / total 0.977942 0.975951 0.976735 21747\n", "\n", "Classification report for turbine 12, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.984498 0.992338 0.988403 19968\n", " 20 0.905556 0.824621 0.863195 1779\n", "\n", "avg / total 0.978041 0.978618 0.978160 21747\n", "\n", "Classification report for turbine 12, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.970240 0.992277 0.981135 19681\n", " 20 0.902847 0.823363 0.861275 1772\n", "\n", "avg / total 0.951632 0.965099 0.958104 21747\n", "\n", "Classification report for turbine 12, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.055556 0.014925 0.023529 67\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.959555 0.991834 0.975427 19471\n", " 20 0.823492 0.802817 0.813023 1633\n", "\n", "avg / total 0.921137 0.948361 0.934464 21747\n", "\n", "Classification report for turbine 12, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.984257 0.992538 0.988380 19968\n", " 20.0 0.910056 0.818999 0.862130 1779\n", "\n", "avg / total 0.978187 0.978342 0.978052 21747\n", "\n", "Classification report for turbine 12, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 121\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.972187 0.985298 0.978699 19725\n", " 20 0.814397 0.715437 0.761716 1613\n", "\n", "avg / total 0.942200 0.946751 0.944198 21747\n", "\n", "Classification report for turbine 12, turbine category 9\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.482609 0.496644 0.489526 447\n", " 11 0.000000 0.000000 0.000000 151\n", " 12 0.000000 0.000000 0.000000 115\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.937647 0.983233 0.959899 19026\n", " 20 0.760908 0.641176 0.695930 1360\n", "\n", "avg / total 0.877833 0.910516 0.893380 21747\n", "\n", "Classification report for turbine 12, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.984498 0.992338 0.988403 19968\n", " 20 0.905556 0.824621 0.863195 1779\n", "\n", "avg / total 0.978041 0.978618 0.978160 21747\n", "\n", "Classification report for turbine 12, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.222222 0.100000 0.137931 20\n", " 11 0.018868 0.009259 0.012422 108\n", " 12 0.031250 0.009259 0.014286 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.050000 0.018519 0.027027 108\n", " 15 0.083333 0.009259 0.016667 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.949245 0.985576 0.967069 19204\n", " 20 0.850379 0.811935 0.830712 1659\n", "\n", "avg / total 0.904232 0.932588 0.917833 21747\n", "\n", "Classification report for turbine 12, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.984498 0.992338 0.988403 19968\n", " 20 0.905556 0.824621 0.863195 1779\n", "\n", "avg / total 0.978041 0.978618 0.978160 21747\n", "\n", "Classification report for turbine 12, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.971829 0.992239 0.981928 19713\n", " 20 0.880247 0.823801 0.851089 1731\n", "\n", "avg / total 0.950999 0.965007 0.957832 21747\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 12, turbine category 0\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991334 0.994733 0.993031 20125\n", " 20.0 0.932258 0.890875 0.911097 1622\n", "\n", "avg / total 0.986928 0.986987 0.986920 21747\n", "\n", "Classification report for turbine 12, turbine category 1\n", " precision recall f1-score support\n", "\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991431 0.994584 0.993005 20125\n", " 20.0 0.931833 0.893342 0.912181 1622\n", "\n", "avg / total 0.986986 0.987033 0.986977 21747\n", "\n", "Classification report for turbine 12, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.991384 0.994832 0.993105 20125\n", " 20 0.932990 0.892725 0.912413 1622\n", "\n", "avg / total 0.987029 0.987217 0.987087 21747\n", "\n", "Classification report for turbine 12, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991332 0.994534 0.992931 20125\n", " 20.0 0.931413 0.837238 0.881818 1622\n", "\n", "avg / total 0.986863 0.982802 0.984643 21747\n", "\n", "Classification report for turbine 12, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 361\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962813 0.996005 0.979127 19522\n", " 20 0.728737 0.878106 0.796479 1288\n", "\n", "avg / total 0.907465 0.946108 0.926123 21747\n", "\n", "Classification report for turbine 12, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.977267 0.994607 0.985861 19839\n", " 20 0.923325 0.892835 0.907824 1605\n", "\n", "avg / total 0.959670 0.973238 0.966365 21747\n", "\n", "Classification report for turbine 12, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 93\n", " 11 0.000000 0.000000 0.000000 127\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.947836 0.993451 0.970108 19241\n", " 20 0.873026 0.867320 0.870164 1530\n", "\n", "avg / total 0.900034 0.939992 0.919538 21747\n", "\n", "Classification report for turbine 12, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991335 0.994832 0.993081 20125\n", " 20.0 0.932686 0.888409 0.910009 1622\n", "\n", "avg / total 0.986961 0.986895 0.986885 21747\n", "\n", "Classification report for turbine 12, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.138211 0.069959 0.092896 243\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976843 0.986443 0.981619 19842\n", " 20 0.771388 0.800582 0.785714 1374\n", "\n", "avg / total 0.941555 0.951396 0.946312 21747\n", "\n", "Classification report for turbine 12, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.118110 0.111940 0.114943 134\n", " 11 0.058824 0.006452 0.011628 155\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 130\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.948341 0.988165 0.967844 19265\n", " 20 0.760197 0.804914 0.781917 1343\n", "\n", "avg / total 0.888200 0.925829 0.906462 21747\n", "\n", "Classification report for turbine 12, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.991384 0.994832 0.993105 20125\n", " 20 0.932990 0.892725 0.912413 1622\n", "\n", "avg / total 0.987029 0.987217 0.987087 21747\n", "\n", "Classification report for turbine 12, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.750000 0.120000 0.206897 25\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.936029 0.990316 0.962408 19001\n", " 20 0.900130 0.884640 0.892318 1569\n", "\n", "avg / total 0.883641 0.929232 0.905501 21747\n", "\n", "Classification report for turbine 12, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.991384 0.994832 0.993105 20125\n", " 20 0.932990 0.892725 0.912413 1622\n", "\n", "avg / total 0.987029 0.987217 0.987087 21747\n", "\n", "Classification report for turbine 12, turbine category 13\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991334 0.994733 0.993031 20125\n", " 20.0 0.932946 0.892109 0.912071 1622\n", "\n", "avg / total 0.986979 0.987079 0.986992 21747\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 13, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 70\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.958030 0.988423 0.972989 19953\n", " 20 0.728477 0.586276 0.649686 1501\n", "\n", "avg / total 0.926509 0.944526 0.934771 21812\n", "\n", "Classification report for turbine 13, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.010638 0.062500 0.018182 16\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.940910 0.922075 0.931397 19583\n", " 20 0.792869 0.570556 0.663588 1637\n", "\n", "avg / total 0.904270 0.870713 0.886032 21812\n", "\n", "Classification report for turbine 13, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "Classification report for turbine 13, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "Classification report for turbine 13, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960517 0.982189 0.971232 19988\n", " 20 0.694467 0.549673 0.613645 1530\n", "\n", "avg / total 0.928908 0.938612 0.933058 21812\n", "\n", "Classification report for turbine 13, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "Classification report for turbine 13, turbine category 6\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "Classification report for turbine 13, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "Classification report for turbine 13, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 119\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.924790 0.987386 0.955064 19265\n", " 20 0.773179 0.597187 0.673882 1564\n", "\n", "avg / total 0.872241 0.914909 0.891860 21812\n", "\n", "Classification report for turbine 13, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.505618 0.613288 0.554273 587\n", " 11 0.000000 0.000000 0.000000 112\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.171429 0.055556 0.083916 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.930974 0.960940 0.945720 19355\n", " 20 0.483483 0.321357 0.386091 1002\n", "\n", "avg / total 0.862771 0.884238 0.872258 21812\n", "\n", "Classification report for turbine 13, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "Classification report for turbine 13, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 56\n", " 11 0.000000 0.000000 0.000000 324\n", " 12 0.000000 0.000000 0.000000 324\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.000000 0.000000 0.000000 324\n", " 15 0.000000 0.000000 0.000000 315\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.855666 0.989283 0.917636 17822\n", " 20 0.753107 0.623029 0.681920 1459\n", "\n", "avg / total 0.749517 0.849991 0.795389 21812\n", "\n", "Classification report for turbine 13, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "Classification report for turbine 13, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.966853 0.989078 0.977839 20142\n", " 20 0.817730 0.591018 0.686131 1670\n", "\n", "avg / total 0.955435 0.958601 0.955505 21812\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 13, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 124\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 168\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.907195 0.986148 0.945025 15305\n", " 20 0.898305 0.840456 0.868418 5171\n", "\n", "avg / total 0.849521 0.891207 0.868981 21812\n", "\n", "Classification report for turbine 13, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 35\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.934572 0.979448 0.956484 15765\n", " 20 0.950996 0.896063 0.922713 5436\n", "\n", "avg / total 0.912486 0.931231 0.921274 21812\n", "\n", "Classification report for turbine 13, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.968304 0.986122 0.977132 16357\n", " 20 0.955957 0.903208 0.928834 5455\n", "\n", "avg / total 0.965216 0.965386 0.965053 21812\n", "\n", "Classification report for turbine 13, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.968304 0.986122 0.977132 16357\n", " 20 0.955957 0.903208 0.928834 5455\n", "\n", "avg / total 0.965216 0.965386 0.965053 21812\n", "\n", "Classification report for turbine 13, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2984\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.919649 0.986289 0.951804 15608\n", " 20 0.444332 0.833207 0.579584 2644\n", "\n", "avg / total 0.711933 0.806758 0.751338 21812\n", "\n", "Classification report for turbine 13, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.968304 0.986122 0.977132 16357\n", " 20 0.955957 0.903208 0.928834 5455\n", "\n", "avg / total 0.965216 0.965386 0.965053 21812\n", "\n", "Classification report for turbine 13, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1056\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 88\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 43\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.896866 0.988226 0.940332 15118\n", " 20 0.891735 0.899237 0.895470 5111\n", "\n", "avg / total 0.830574 0.895654 0.861576 21812\n", "\n", "Classification report for turbine 13, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.968304 0.986122 0.977132 16357\n", " 20 0.955957 0.903208 0.928834 5455\n", "\n", "avg / total 0.965216 0.965386 0.965053 21812\n", "\n", "Classification report for turbine 13, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.040000 0.042017 0.040984 119\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.952372 0.973661 0.962899 16060\n", " 20 0.879480 0.883132 0.881302 5057\n", "\n", "avg / total 0.905345 0.921878 0.913524 21812\n", "\n", "Classification report for turbine 13, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.296941 0.534613 0.381812 1979\n", " 11 0.082524 0.157407 0.108280 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.925151 0.935585 0.930339 15695\n", " 20 0.604492 0.378131 0.465239 3274\n", "\n", "avg / total 0.783785 0.779250 0.774443 21812\n", "\n", "Classification report for turbine 13, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.968304 0.986122 0.977132 16357\n", " 20 0.955957 0.903208 0.928834 5455\n", "\n", "avg / total 0.965216 0.965386 0.965053 21812\n", "\n", "Classification report for turbine 13, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.142857 0.166667 0.153846 12\n", " 11 0.060606 0.055556 0.057971 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.938755 0.944044 0.941392 15798\n", " 20 0.953511 0.910984 0.931762 5426\n", "\n", "avg / total 0.917398 0.910646 0.913895 21812\n", "\n", "Classification report for turbine 13, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.968304 0.986122 0.977132 16357\n", " 20 0.955957 0.903208 0.928834 5455\n", "\n", "avg / total 0.965216 0.965386 0.965053 21812\n", "\n", "Classification report for turbine 13, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.968304 0.986122 0.977132 16357\n", " 20 0.955957 0.903208 0.928834 5455\n", "\n", "avg / total 0.965216 0.965386 0.965053 21812\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 13, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.090909 0.011029 0.019672 272\n", " 11 0.111111 0.006944 0.013072 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 134\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.896988 0.979790 0.936563 13162\n", " 20 0.930018 0.919254 0.924605 7344\n", "\n", "avg / total 0.856269 0.900926 0.876791 21812\n", "\n", "Classification report for turbine 13, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.968373 0.974730 0.971541 14167\n", " 20.0 0.963715 0.937999 0.950683 7645\n", "\n", "avg / total 0.966740 0.961856 0.964230 21812\n", "\n", "Classification report for turbine 13, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.966574 0.981789 0.974122 14167\n", " 20 0.965238 0.937083 0.950952 7645\n", "\n", "avg / total 0.966106 0.966120 0.966001 21812\n", "\n", "Classification report for turbine 13, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.947325 0.981638 0.964176 13887\n", " 20 0.964026 0.937869 0.950767 7629\n", "\n", "avg / total 0.940310 0.953008 0.946402 21812\n", "\n", "Classification report for turbine 13, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.969987 0.967248 0.968615 14167\n", " 20.0 0.952351 0.596076 0.733226 7645\n", "\n", "avg / total 0.963805 0.837154 0.886112 21812\n", "\n", "Classification report for turbine 13, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.966574 0.981789 0.974122 14167\n", " 20 0.965238 0.937083 0.950952 7645\n", "\n", "avg / total 0.966106 0.966120 0.966001 21812\n", "\n", "Classification report for turbine 13, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.023810 0.105263 0.038835 57\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.906665 0.980607 0.942188 13304\n", " 20 0.958415 0.905233 0.931065 7587\n", "\n", "avg / total 0.886444 0.913259 0.898637 21812\n", "\n", "Classification report for turbine 13, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.965671 0.981772 0.973655 14154\n", " 20 0.927648 0.934700 0.931160 7366\n", "\n", "avg / total 0.939903 0.952732 0.946270 21812\n", "\n", "Classification report for turbine 13, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.929076 0.977935 0.952879 13596\n", " 20 0.961130 0.878935 0.918197 7624\n", "\n", "avg / total 0.915064 0.916789 0.914894 21812\n", "\n", "Classification report for turbine 13, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.062639 0.334917 0.105539 421\n", " 11 0.041916 0.097222 0.058577 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.927019 0.973033 0.949469 13498\n", " 20 0.949930 0.645620 0.768755 7317\n", "\n", "avg / total 0.893679 0.825509 0.847678 21812\n", "\n", "Classification report for turbine 13, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.966574 0.981789 0.974122 14167\n", " 20 0.965238 0.937083 0.950952 7645\n", "\n", "avg / total 0.966106 0.966120 0.966001 21812\n", "\n", "Classification report for turbine 13, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.011364 0.045455 0.018182 22\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.903217 0.972342 0.936506 13197\n", " 20 0.942406 0.938987 0.940693 7441\n", "\n", "avg / total 0.867983 0.908674 0.887546 21812\n", "\n", "Classification report for turbine 13, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.966574 0.981789 0.974122 14167\n", " 20 0.965238 0.937083 0.950952 7645\n", "\n", "avg / total 0.966106 0.966120 0.966001 21812\n", "\n", "Classification report for turbine 13, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.966574 0.981789 0.974122 14167\n", " 20 0.965238 0.937083 0.950952 7645\n", "\n", "avg / total 0.966106 0.966120 0.966001 21812\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 13, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.966521 0.983261 0.974819 18938\n", " 20.0 0.918487 0.760612 0.832128 2874\n", "\n", "avg / total 0.960192 0.953924 0.956018 21812\n", "\n", "Classification report for turbine 13, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.966479 0.988066 0.977153 18938\n", " 20.0 0.914345 0.765136 0.833112 2874\n", "\n", "avg / total 0.959610 0.958692 0.958174 21812\n", "\n", "Classification report for turbine 13, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.966102 0.990231 0.978018 18938\n", " 20 0.922949 0.771051 0.840190 2874\n", "\n", "avg / total 0.960416 0.961352 0.959857 21812\n", "\n", "Classification report for turbine 13, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 94\n", " 11 0.000000 0.000000 0.000000 125\n", " 12 0.000000 0.000000 0.000000 118\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.922549 0.989711 0.954951 18077\n", " 20 0.881328 0.772364 0.823256 2750\n", "\n", "avg / total 0.875691 0.917614 0.895223 21812\n", "\n", "Classification report for turbine 13, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.708520 0.120611 0.206132 1310\n", " 11 0.000000 0.000000 0.000000 354\n", " 12 0.000000 0.000000 0.000000 311\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 224\n", " 15 0.000000 0.000000 0.000000 186\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.868417 0.990062 0.925258 17005\n", " 20 0.500230 0.666258 0.571429 1630\n", "\n", "avg / total 0.756967 0.828902 0.776429 21812\n", "\n", "Classification report for turbine 13, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.953428 0.990103 0.971420 18692\n", " 20 0.904207 0.767680 0.830369 2828\n", "\n", "avg / total 0.934283 0.948010 0.940127 21812\n", "\n", "Classification report for turbine 13, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 282\n", " 11 0.000000 0.000000 0.000000 192\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 171\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.893093 0.986467 0.937461 17513\n", " 20 0.877657 0.744297 0.805495 2718\n", "\n", "avg / total 0.826436 0.884788 0.853067 21812\n", "\n", "Classification report for turbine 13, turbine category 7\n", " precision recall f1-score support\n", "\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.966102 0.990231 0.978018 18938\n", " 20.0 0.922917 0.770703 0.839970 2874\n", "\n", "avg / total 0.960412 0.961306 0.959828 21812\n", "\n", "Classification report for turbine 13, turbine category 8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.076923 0.001453 0.002853 688\n", " 11 0.000000 0.000000 0.000000 477\n", " 12 0.000000 0.000000 0.000000 396\n", " 13 0.000000 0.000000 0.000000 396\n", " 14 0.000000 0.000000 0.000000 375\n", " 15 0.000000 0.000000 0.000000 360\n", " 16 0.000000 0.000000 0.000000 360\n", " 17 0.000000 0.000000 0.000000 360\n", " 18 0.000000 0.000000 0.000000 338\n", " 19 0.815278 0.986122 0.892598 15996\n", " 20 0.622889 0.713940 0.665313 2066\n", "\n", "avg / total 0.659316 0.790849 0.717702 21812\n", "\n", "Classification report for turbine 13, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.083607 0.162939 0.110509 313\n", " 11 0.000000 0.000000 0.000000 224\n", " 12 0.000000 0.000000 0.000000 222\n", " 13 0.125000 0.004219 0.008163 237\n", " 14 0.000000 0.000000 0.000000 183\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.889484 0.982939 0.933879 17408\n", " 20 0.840465 0.635130 0.723511 2505\n", "\n", "avg / total 0.808972 0.859802 0.830088 21812\n", "\n", "Classification report for turbine 13, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.953119 0.990365 0.971385 18681\n", " 20 0.918367 0.776682 0.841603 2839\n", "\n", "avg / total 0.935837 0.949294 0.941489 21812\n", "\n", "Classification report for turbine 13, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.938413 0.983764 0.960553 18354\n", " 20 0.806373 0.766602 0.785984 2575\n", "\n", "avg / total 0.884836 0.918302 0.901059 21812\n", "\n", "Classification report for turbine 13, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.966102 0.990231 0.978018 18938\n", " 20 0.922949 0.771051 0.840190 2874\n", "\n", "avg / total 0.960416 0.961352 0.959857 21812\n", "\n", "Classification report for turbine 13, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.952604 0.990200 0.971038 18674\n", " 20 0.909621 0.769827 0.833906 2837\n", "\n", "avg / total 0.933868 0.947873 0.939802 21812\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 13, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.826087 0.542857 0.655172 35\n", " 11 0.000000 0.000000 0.000000 73\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.957515 0.989378 0.973186 19112\n", " 20 0.890467 0.840996 0.865025 2088\n", "\n", "avg / total 0.925556 0.948285 0.936578 21812\n", "\n", "Classification report for turbine 13, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.983892 0.992310 0.988083 19636\n", " 20.0 0.929323 0.852022 0.888995 2176\n", "\n", "avg / total 0.978448 0.978315 0.978198 21812\n", "\n", "Classification report for turbine 13, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.983754 0.992972 0.988341 19636\n", " 20 0.930723 0.852022 0.889635 2176\n", "\n", "avg / total 0.978463 0.978911 0.978494 21812\n", "\n", "Classification report for turbine 13, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 198\n", " 11 0.000000 0.000000 0.000000 97\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 64\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.963394 0.991054 0.977028 19226\n", " 20 0.763145 0.832332 0.796238 1831\n", "\n", "avg / total 0.913237 0.943426 0.928033 21812\n", "\n", "Classification report for turbine 13, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.091549 0.173333 0.119816 75\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.948454 0.986322 0.967017 18935\n", " 20 0.663751 0.735758 0.697902 1650\n", "\n", "avg / total 0.873878 0.912479 0.892673 21812\n", "\n", "Classification report for turbine 13, turbine category 5\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.983748 0.992616 0.988162 19636\n", " 20.0 0.930723 0.852022 0.889635 2176\n", "\n", "avg / total 0.978458 0.978590 0.978333 21812\n", "\n", "Classification report for turbine 13, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 160\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.333333 0.005556 0.010929 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.916911 0.991036 0.952534 18295\n", " 20 0.864407 0.877934 0.871118 1917\n", "\n", "avg / total 0.847788 0.908445 0.875596 21812\n", "\n", "Classification report for turbine 13, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.983754 0.992972 0.988341 19636\n", " 20 0.930723 0.852022 0.889635 2176\n", "\n", "avg / total 0.978463 0.978911 0.978494 21812\n", "\n", "Classification report for turbine 13, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.946410 0.985493 0.965557 18888\n", " 20 0.858238 0.767123 0.810127 2044\n", "\n", "avg / total 0.899965 0.925270 0.912036 21812\n", "\n", "Classification report for turbine 13, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.686099 0.124088 0.210165 1233\n", " 11 0.000000 0.000000 0.000000 365\n", " 12 0.000000 0.000000 0.000000 307\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.893822 0.986321 0.937796 17838\n", " 20 0.207632 0.664273 0.316375 557\n", "\n", "avg / total 0.775060 0.830598 0.786896 21812\n", "\n", "Classification report for turbine 13, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.983755 0.993023 0.988367 19636\n", " 20 0.931190 0.852022 0.889849 2176\n", "\n", "avg / total 0.978511 0.978957 0.978539 21812\n", "\n", "Classification report for turbine 13, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.090909 0.009259 0.016807 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.058824 0.009259 0.016000 108\n", " 19 0.941069 0.987273 0.963617 18779\n", " 20 0.920960 0.855483 0.887015 2152\n", "\n", "avg / total 0.901816 0.934486 0.917301 21812\n", "\n", "Classification report for turbine 13, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.983754 0.992972 0.988341 19636\n", " 20 0.930723 0.852022 0.889635 2176\n", "\n", "avg / total 0.978463 0.978911 0.978494 21812\n", "\n", "Classification report for turbine 13, turbine category 13\n", " precision recall f1-score support\n", "\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.983751 0.992819 0.988265 19636\n", " 20.0 0.930723 0.852022 0.889635 2176\n", "\n", "avg / total 0.978461 0.978773 0.978425 21812\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 14, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986922 0.983094 0.985004 20880\n", " 20.0 0.889685 0.691537 0.778195 898\n", "\n", "avg / total 0.982913 0.971072 0.976477 21778\n", "\n", "Classification report for turbine 14, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.987047 0.996312 0.991658 20880\n", " 20 0.890313 0.695991 0.781250 898\n", "\n", "avg / total 0.983058 0.983929 0.982982 21778\n", "\n", "Classification report for turbine 14, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.987047 0.996312 0.991658 20880\n", " 20 0.890313 0.695991 0.781250 898\n", "\n", "avg / total 0.983058 0.983929 0.982982 21778\n", "\n", "Classification report for turbine 14, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974659 0.982692 0.978659 20626\n", " 20 0.844444 0.669800 0.747051 851\n", "\n", "avg / total 0.956099 0.956883 0.956082 21778\n", "\n", "Classification report for turbine 14, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.987047 0.996312 0.991658 20880\n", " 20 0.890313 0.695991 0.781250 898\n", "\n", "avg / total 0.983058 0.983929 0.982982 21778\n", "\n", "Classification report for turbine 14, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.987047 0.996312 0.991658 20880\n", " 20 0.890313 0.695991 0.781250 898\n", "\n", "avg / total 0.983058 0.983929 0.982982 21778\n", "\n", "Classification report for turbine 14, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988302 0.979215 0.983737 20880\n", " 20.0 0.880240 0.654788 0.750958 898\n", "\n", "avg / total 0.983847 0.965837 0.974139 21778\n", "\n", "Classification report for turbine 14, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.987047 0.996312 0.991658 20880\n", " 20 0.890313 0.695991 0.781250 898\n", "\n", "avg / total 0.983058 0.983929 0.982982 21778\n", "\n", "Classification report for turbine 14, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.130435 0.018293 0.032086 164\n", " 11 0.013514 0.013889 0.013699 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.095238 0.027778 0.043011 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.953621 0.985429 0.969264 20177\n", " 20 0.845588 0.667828 0.746269 861\n", "\n", "avg / total 0.918288 0.939664 0.927942 21778\n", "\n", "Classification report for turbine 14, turbine category 9\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987600 0.984148 0.985871 20880\n", " 20.0 0.888579 0.710468 0.789604 898\n", "\n", "avg / total 0.983517 0.972863 0.977778 21778\n", "\n", "Classification report for turbine 14, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 61\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974900 0.996363 0.985515 20622\n", " 20 0.799145 0.695167 0.743539 807\n", "\n", "avg / total 0.952765 0.969235 0.960755 21778\n", "\n", "Classification report for turbine 14, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.035714 0.068966 56\n", " 11 0.333333 0.003086 0.006116 324\n", " 12 0.000000 0.000000 0.000000 324\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.000000 0.000000 0.000000 324\n", " 15 0.000000 0.000000 0.000000 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.000000 0.000000 0.000000 324\n", " 18 0.000000 0.000000 0.000000 324\n", " 19 0.868109 0.993901 0.926756 18364\n", " 20 0.784703 0.723238 0.752717 766\n", "\n", "avg / total 0.767152 0.863670 0.808218 21778\n", "\n", "Classification report for turbine 14, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.987047 0.996312 0.991658 20880\n", " 20 0.890313 0.695991 0.781250 898\n", "\n", "avg / total 0.983058 0.983929 0.982982 21778\n", "\n", "Classification report for turbine 14, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.987047 0.996312 0.991658 20880\n", " 20 0.890313 0.695991 0.781250 898\n", "\n", "avg / total 0.983058 0.983929 0.982982 21778\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 14, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.708333 0.180851 0.288136 94\n", " 11 0.160920 0.053435 0.080229 262\n", " 12 0.187500 0.030151 0.051948 199\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 146\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.932334 0.990712 0.960637 19596\n", " 20 0.720513 0.775172 0.746844 725\n", "\n", "avg / total 0.869614 0.918955 0.891935 21778\n", "\n", "Classification report for turbine 14, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.991990 0.995741 0.993862 20896\n", " 20 0.889166 0.809524 0.847478 882\n", "\n", "avg / total 0.987826 0.988199 0.987934 21778\n", "\n", "Classification report for turbine 14, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.991990 0.995741 0.993862 20896\n", " 20 0.889166 0.809524 0.847478 882\n", "\n", "avg / total 0.987826 0.988199 0.987934 21778\n", "\n", "Classification report for turbine 14, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992230 0.990046 0.991137 20896\n", " 20.0 0.880577 0.760771 0.816302 882\n", "\n", "avg / total 0.987708 0.980760 0.984056 21778\n", "\n", "Classification report for turbine 14, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.991990 0.995741 0.993862 20896\n", " 20 0.889166 0.809524 0.847478 882\n", "\n", "avg / total 0.987826 0.988199 0.987934 21778\n", "\n", "Classification report for turbine 14, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.991990 0.995741 0.993862 20896\n", " 20 0.889166 0.809524 0.847478 882\n", "\n", "avg / total 0.987826 0.988199 0.987934 21778\n", "\n", "Classification report for turbine 14, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992242 0.991529 0.991885 20896\n", " 20.0 0.874510 0.758503 0.812386 882\n", "\n", "avg / total 0.987474 0.982092 0.984616 21778\n", "\n", "Classification report for turbine 14, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.991990 0.995741 0.993862 20896\n", " 20 0.889166 0.809524 0.847478 882\n", "\n", "avg / total 0.987826 0.988199 0.987934 21778\n", "\n", "Classification report for turbine 14, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991962 0.992152 0.992057 20896\n", " 20.0 0.885678 0.799320 0.840286 882\n", "\n", "avg / total 0.987657 0.984342 0.985910 21778\n", "\n", "Classification report for turbine 14, turbine category 9\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992031 0.994879 0.993453 20896\n", " 20.0 0.887097 0.810658 0.847156 882\n", "\n", "avg / total 0.987781 0.987418 0.987528 21778\n", "\n", "Classification report for turbine 14, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 145\n", " 11 0.000000 0.000000 0.000000 154\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 128\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.500000 0.018519 0.035714 108\n", " 19 0.945930 0.993877 0.969311 19926\n", " 20 0.720149 0.781377 0.749515 741\n", "\n", "avg / total 0.892471 0.936036 0.912561 21778\n", "\n", "Classification report for turbine 14, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.111111 0.058824 0.076923 17\n", " 11 0.029412 0.009259 0.014085 108\n", " 12 0.066667 0.027778 0.039216 108\n", " 13 0.018182 0.009259 0.012270 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.028986 0.018519 0.022599 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.952253 0.976151 0.964054 20043\n", " 20 0.868521 0.804450 0.835258 854\n", "\n", "avg / total 0.911245 0.930297 0.920501 21778\n", "\n", "Classification report for turbine 14, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.991990 0.995741 0.993862 20896\n", " 20 0.889166 0.809524 0.847478 882\n", "\n", "avg / total 0.987826 0.988199 0.987934 21778\n", "\n", "Classification report for turbine 14, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.991990 0.995741 0.993862 20896\n", " 20 0.889166 0.809524 0.847478 882\n", "\n", "avg / total 0.987826 0.988199 0.987934 21778\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 14, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.062827 0.685714 0.115108 35\n", " 11 0.166667 0.027778 0.047619 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.914985 0.987120 0.949685 17314\n", " 20 0.937336 0.603236 0.734058 4141\n", "\n", "avg / total 0.906041 0.900634 0.894863 21778\n", "\n", "Classification report for turbine 14, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 24\n", " 11 0.000000 0.000000 0.000000 98\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 47\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.927401 0.989858 0.957612 17551\n", " 20 0.842365 0.680371 0.752751 3770\n", "\n", "avg / total 0.893219 0.915511 0.902054 21778\n", "\n", "Classification report for turbine 14, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.930230 0.989889 0.959133 17604\n", " 20 0.941544 0.686871 0.794293 4174\n", "\n", "avg / total 0.932398 0.931812 0.927539 21778\n", "\n", "Classification report for turbine 14, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.012987 0.071429 0.021978 14\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.500000 0.013889 0.027027 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.882513 0.988902 0.932684 17030\n", " 20 0.941460 0.564695 0.705953 4158\n", "\n", "avg / total 0.871520 0.881210 0.864230 21778\n", "\n", "Classification report for turbine 14, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.930230 0.989889 0.959133 17604\n", " 20 0.941544 0.686871 0.794293 4174\n", "\n", "avg / total 0.932398 0.931812 0.927539 21778\n", "\n", "Classification report for turbine 14, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.930230 0.989889 0.959133 17604\n", " 20 0.941544 0.686871 0.794293 4174\n", "\n", "avg / total 0.932398 0.931812 0.927539 21778\n", "\n", "Classification report for turbine 14, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.006000 0.005520 0.005750 1087\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 118\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.891331 0.988025 0.937191 16869\n", " 20 0.800487 0.538285 0.643710 3056\n", "\n", "avg / total 0.803043 0.841124 0.816553 21778\n", "\n", "Classification report for turbine 14, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 251\n", " 11 0.000000 0.000000 0.000000 73\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.926814 0.989852 0.957296 17540\n", " 20 0.842036 0.700164 0.764574 3662\n", "\n", "avg / total 0.888045 0.914960 0.899570 21778\n", "\n", "Classification report for turbine 14, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 21\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.913663 0.989133 0.949901 17300\n", " 20 0.940067 0.669705 0.782182 4169\n", "\n", "avg / total 0.905754 0.913950 0.904317 21778\n", "\n", "Classification report for turbine 14, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 278\n", " 11 0.000000 0.000000 0.000000 184\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 118\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.873097 0.989049 0.927463 16528\n", " 20 0.917269 0.707342 0.798742 3950\n", "\n", "avg / total 0.828991 0.878915 0.848753 21778\n", "\n", "Classification report for turbine 14, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.014286 0.011111 0.012500 90\n", " 11 0.000000 0.000000 0.000000 74\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.918277 0.992226 0.953820 17236\n", " 20 0.846230 0.663397 0.743742 3874\n", "\n", "avg / total 0.877354 0.903343 0.887245 21778\n", "\n", "Classification report for turbine 14, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.003295 0.095238 0.006369 21\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.021739 0.006944 0.010526 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.269231 0.194444 0.225806 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.914402 0.977953 0.945111 16964\n", " 20 0.900623 0.674540 0.771357 3641\n", "\n", "avg / total 0.864774 0.875976 0.866725 21778\n", "\n", "Classification report for turbine 14, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.930230 0.995146 0.961594 17511\n", " 20 0.872906 0.670535 0.758453 3964\n", "\n", "avg / total 0.906854 0.922215 0.911240 21778\n", "\n", "Classification report for turbine 14, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.930230 0.989889 0.959133 17604\n", " 20 0.941544 0.686871 0.794293 4174\n", "\n", "avg / total 0.932398 0.931812 0.927539 21778\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 14, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989892 0.995588 0.992732 20854\n", " 20.0 0.900637 0.765152 0.827384 924\n", "\n", "avg / total 0.986105 0.985811 0.985717 21778\n", "\n", "Classification report for turbine 14, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989473 0.996068 0.992759 20854\n", " 20.0 0.899743 0.757576 0.822562 924\n", "\n", "avg / total 0.985666 0.985949 0.985538 21778\n", "\n", "Classification report for turbine 14, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.989805 0.996260 0.993022 20854\n", " 20 0.901015 0.768398 0.829439 924\n", "\n", "avg / total 0.986037 0.986592 0.986081 21778\n", "\n", "Classification report for turbine 14, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 200\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.947632 0.994439 0.970472 19962\n", " 20 0.711908 0.739362 0.725375 752\n", "\n", "avg / total 0.893194 0.937047 0.914595 21778\n", "\n", "Classification report for turbine 14, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.989805 0.996260 0.993022 20854\n", " 20 0.901015 0.768398 0.829439 924\n", "\n", "avg / total 0.986037 0.986592 0.986081 21778\n", "\n", "Classification report for turbine 14, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.989805 0.996260 0.993022 20854\n", " 20 0.901015 0.768398 0.829439 924\n", "\n", "avg / total 0.986037 0.986592 0.986081 21778\n", "\n", "Classification report for turbine 14, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.010638 0.047619 0.017391 21\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 107\n", " 14 0.000000 0.000000 0.000000 98\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.956724 0.992107 0.974094 20144\n", " 20 0.874317 0.707965 0.782396 904\n", "\n", "avg / total 0.921244 0.947103 0.933502 21778\n", "\n", "Classification report for turbine 14, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989517 0.995780 0.992639 20854\n", " 20.0 0.904269 0.756494 0.823807 924\n", "\n", "avg / total 0.985900 0.985628 0.985475 21778\n", "\n", "Classification report for turbine 14, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.964719 0.994194 0.979235 20325\n", " 20 0.860645 0.767549 0.811436 869\n", "\n", "avg / total 0.934696 0.958490 0.946280 21778\n", "\n", "Classification report for turbine 14, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.033333 0.058824 0.042553 34\n", " 11 0.045455 0.013699 0.021053 73\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.125000 0.041667 0.062500 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.965017 0.989651 0.977179 20292\n", " 20 0.860645 0.762286 0.808485 875\n", "\n", "avg / total 0.934367 0.953026 0.943329 21778\n", "\n", "Classification report for turbine 14, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 11\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975965 0.995234 0.985505 20563\n", " 20 0.890746 0.756550 0.818182 916\n", "\n", "avg / total 0.958981 0.971531 0.964937 21778\n", "\n", "Classification report for turbine 14, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.963264 0.989054 0.975988 20281\n", " 20 0.892208 0.756608 0.818832 908\n", "\n", "avg / total 0.934249 0.952613 0.943040 21778\n", "\n", "Classification report for turbine 14, turbine category 12\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989852 0.996260 0.993045 20854\n", " 20.0 0.901015 0.768398 0.829439 924\n", "\n", "avg / total 0.986083 0.986592 0.986104 21778\n", "\n", "Classification report for turbine 14, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975893 0.996352 0.986017 20559\n", " 20 0.892132 0.769989 0.826573 913\n", "\n", "avg / total 0.958670 0.972863 0.965478 21778\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 14, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991792 0.997121 0.994449 20843\n", " 20.0 0.940814 0.816043 0.873998 935\n", "\n", "avg / total 0.989603 0.989347 0.989278 21778\n", "\n", "Classification report for turbine 14, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991797 0.997697 0.994738 20843\n", " 20.0 0.939850 0.802139 0.865551 935\n", "\n", "avg / total 0.989566 0.989301 0.989192 21778\n", "\n", "Classification report for turbine 14, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.991797 0.997697 0.994738 20843\n", " 20 0.940814 0.816043 0.873998 935\n", "\n", "avg / total 0.989608 0.989898 0.989554 21778\n", "\n", "Classification report for turbine 14, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991918 0.995154 0.993534 20843\n", " 20.0 0.934194 0.774332 0.846784 935\n", "\n", "avg / total 0.989440 0.985674 0.987233 21778\n", "\n", "Classification report for turbine 14, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.984786 0.997681 0.991191 20696\n", " 20 0.760789 0.783990 0.772215 787\n", "\n", "avg / total 0.963351 0.976444 0.969852 21778\n", "\n", "Classification report for turbine 14, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.991797 0.997697 0.994738 20843\n", " 20 0.940814 0.816043 0.873998 935\n", "\n", "avg / total 0.989608 0.989898 0.989554 21778\n", "\n", "Classification report for turbine 14, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 240\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.923249 0.996805 0.958618 19405\n", " 20 0.774153 0.890332 0.828188 693\n", "\n", "avg / total 0.847284 0.916521 0.880518 21778\n", "\n", "Classification report for turbine 14, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.978443 0.997908 0.988080 20559\n", " 20 0.929825 0.802162 0.861288 925\n", "\n", "avg / total 0.963169 0.976123 0.969356 21778\n", "\n", "Classification report for turbine 14, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 160\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.964678 0.997138 0.980640 20268\n", " 20 0.745679 0.780362 0.762626 774\n", "\n", "avg / total 0.924293 0.955735 0.939750 21778\n", "\n", "Classification report for turbine 14, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 170\n", " 11 0.000000 0.000000 0.000000 78\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.964245 0.996891 0.980296 20262\n", " 20 0.700831 0.662304 0.681023 764\n", "\n", "avg / total 0.921708 0.950730 0.935947 21778\n", "\n", "Classification report for turbine 14, turbine category 10\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991879 0.996162 0.994016 20843\n", " 20.0 0.939803 0.818182 0.874786 935\n", "\n", "avg / total 0.989643 0.988521 0.988897 21778\n", "\n", "Classification report for turbine 14, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.076923 0.142857 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.964394 0.990329 0.977189 20266\n", " 20 0.929889 0.819068 0.870968 923\n", "\n", "avg / total 0.937446 0.956332 0.946344 21778\n", "\n", "Classification report for turbine 14, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.991797 0.997697 0.994738 20843\n", " 20 0.940814 0.816043 0.873998 935\n", "\n", "avg / total 0.989608 0.989898 0.989554 21778\n", "\n", "Classification report for turbine 14, turbine category 13\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991796 0.997649 0.994714 20843\n", " 20.0 0.940814 0.816043 0.873998 935\n", "\n", "avg / total 0.989607 0.989852 0.989531 21778\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 15, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.962697 0.971353 0.967006 15569\n", " 20.0 0.903280 0.814130 0.856391 4600\n", "\n", "avg / total 0.949145 0.935495 0.941778 20169\n", "\n", "Classification report for turbine 15, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 242\n", " 11 0.000000 0.000000 0.000000 360\n", " 12 0.105263 0.005556 0.010554 360\n", " 13 0.000000 0.000000 0.000000 360\n", " 14 0.000000 0.000000 0.000000 360\n", " 15 0.200000 0.005556 0.010811 360\n", " 16 0.000000 0.000000 0.000000 360\n", " 17 0.000000 0.000000 0.000000 360\n", " 18 0.000000 0.000000 0.000000 360\n", " 19 0.790309 0.968468 0.870365 12749\n", " 20 0.847826 0.880177 0.863699 4298\n", "\n", "avg / total 0.685681 0.799941 0.734600 20169\n", "\n", "Classification report for turbine 15, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.963359 0.972702 0.968008 15569\n", " 20 0.904473 0.874783 0.889380 4600\n", "\n", "avg / total 0.949929 0.950369 0.950075 20169\n", "\n", "Classification report for turbine 15, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.963359 0.972702 0.968008 15569\n", " 20 0.904473 0.874783 0.889380 4600\n", "\n", "avg / total 0.949929 0.950369 0.950075 20169\n", "\n", "Classification report for turbine 15, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.964855 0.955745 0.960279 15569\n", " 20.0 0.894146 0.813478 0.851907 4600\n", "\n", "avg / total 0.948728 0.923298 0.935562 20169\n", "\n", "Classification report for turbine 15, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.963359 0.972702 0.968008 15569\n", " 20 0.904473 0.874783 0.889380 4600\n", "\n", "avg / total 0.949929 0.950369 0.950075 20169\n", "\n", "Classification report for turbine 15, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 107\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 176\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 161\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.901597 0.972487 0.935701 14575\n", " 20 0.806481 0.872869 0.838363 4106\n", "\n", "avg / total 0.815716 0.880460 0.846852 20169\n", "\n", "Classification report for turbine 15, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.963359 0.972702 0.968008 15569\n", " 20 0.904473 0.874783 0.889380 4600\n", "\n", "avg / total 0.949929 0.950369 0.950075 20169\n", "\n", "Classification report for turbine 15, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.676402 0.324552 0.438636 1784\n", " 11 0.155290 0.060106 0.086667 1514\n", " 12 0.052632 0.004662 0.008565 1287\n", " 13 0.000000 0.000000 0.000000 1050\n", " 14 0.005988 0.001258 0.002079 795\n", " 15 0.000000 0.000000 0.000000 533\n", " 16 0.000000 0.000000 0.000000 497\n", " 17 0.000000 0.000000 0.000000 448\n", " 18 0.000000 0.000000 0.000000 401\n", " 19 0.572074 0.943289 0.712213 9134\n", " 20 0.583831 0.680851 0.628620 2726\n", "\n", "avg / total 0.413067 0.552779 0.453438 20169\n", "\n", "Classification report for turbine 15, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.750354 0.476854 0.583127 2225\n", " 11 0.000000 0.000000 0.000000 216\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.055556 0.005556 0.010101 180\n", " 15 0.062500 0.012121 0.020305 165\n", " 16 0.032258 0.006944 0.011429 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.873430 0.957759 0.913653 14086\n", " 20 0.563837 0.694611 0.622429 2505\n", "\n", "avg / total 0.764046 0.807973 0.780067 20169\n", "\n", "Classification report for turbine 15, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.963359 0.972702 0.968008 15569\n", " 20 0.904473 0.874783 0.889380 4600\n", "\n", "avg / total 0.949929 0.950369 0.950075 20169\n", "\n", "Classification report for turbine 15, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 31\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.153846 0.011111 0.020725 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.888513 0.971885 0.928331 14334\n", " 20 0.861217 0.878781 0.869910 4364\n", "\n", "avg / total 0.819178 0.880956 0.848169 20169\n", "\n", "Classification report for turbine 15, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.963359 0.972702 0.968008 15569\n", " 20 0.904473 0.874783 0.889380 4600\n", "\n", "avg / total 0.949929 0.950369 0.950075 20169\n", "\n", "Classification report for turbine 15, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.963359 0.972702 0.968008 15569\n", " 20 0.904473 0.874783 0.889380 4600\n", "\n", "avg / total 0.949929 0.950369 0.950075 20169\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 15, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.030303 0.166667 0.051282 48\n", " 11 0.000000 0.000000 0.000000 85\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 41\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.941142 0.983203 0.961713 13157\n", " 20 0.956998 0.908569 0.932155 6442\n", "\n", "avg / total 0.919681 0.931975 0.925215 20169\n", "\n", "Classification report for turbine 15, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.003226 0.015873 0.005362 63\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.029412 0.027778 0.028571 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.959185 0.966297 0.962728 13352\n", " 20 0.952751 0.910609 0.931204 6466\n", "\n", "avg / total 0.940492 0.931727 0.935935 20169\n", "\n", "Classification report for turbine 15, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.977946 0.983098 0.980515 13667\n", " 20 0.964075 0.953399 0.958707 6502\n", "\n", "avg / total 0.973474 0.973524 0.973485 20169\n", "\n", "Classification report for turbine 15, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 327\n", " 11 0.000000 0.000000 0.000000 221\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 145\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 127\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.912876 0.982299 0.946316 12768\n", " 20 0.878849 0.952469 0.914179 5933\n", "\n", "avg / total 0.836423 0.902028 0.867985 20169\n", "\n", "Classification report for turbine 15, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.172619 0.028128 0.048374 1031\n", " 11 0.000000 0.000000 0.000000 624\n", " 12 0.000000 0.000000 0.000000 504\n", " 13 0.000000 0.000000 0.000000 504\n", " 14 0.000000 0.000000 0.000000 474\n", " 15 0.000000 0.000000 0.000000 373\n", " 16 0.000000 0.000000 0.000000 335\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 267\n", " 19 0.790575 0.978357 0.874499 11043\n", " 20 0.707356 0.938003 0.806513 4726\n", "\n", "avg / total 0.607430 0.756904 0.670264 20169\n", "\n", "Classification report for turbine 15, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 29\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 38\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.953490 0.983041 0.968040 13326\n", " 20 0.935925 0.954027 0.944889 6308\n", "\n", "avg / total 0.922704 0.947890 0.935121 20169\n", "\n", "Classification report for turbine 15, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2063\n", " 11 0.000000 0.000000 0.000000 150\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.918744 0.975549 0.946295 12842\n", " 20 0.592827 0.913785 0.719118 4106\n", "\n", "avg / total 0.705670 0.807179 0.748923 20169\n", "\n", "Classification report for turbine 15, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.977946 0.983098 0.980515 13667\n", " 20 0.964075 0.953399 0.958707 6502\n", "\n", "avg / total 0.973474 0.973524 0.973485 20169\n", "\n", "Classification report for turbine 15, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.130345 0.591418 0.213612 536\n", " 11 0.079445 0.096923 0.087318 650\n", " 12 0.059432 0.040422 0.048117 569\n", " 13 0.019417 0.008403 0.011730 476\n", " 14 0.023364 0.010870 0.014837 460\n", " 15 0.021277 0.011527 0.014953 347\n", " 16 0.011236 0.006173 0.007968 324\n", " 17 0.006369 0.003086 0.004158 324\n", " 18 0.000000 0.000000 0.000000 324\n", " 19 0.751839 0.831563 0.789694 10449\n", " 20 0.866700 0.608056 0.714697 5710\n", "\n", "avg / total 0.644217 0.623729 0.622370 20169\n", "\n", "Classification report for turbine 15, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.002284 0.190476 0.004515 21\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.962036 0.950319 0.956142 13466\n", " 20 0.944781 0.682358 0.792408 6394\n", "\n", "avg / total 0.941829 0.851009 0.889591 20169\n", "\n", "Classification report for turbine 15, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.977946 0.983098 0.980515 13667\n", " 20 0.964075 0.953399 0.958707 6502\n", "\n", "avg / total 0.973474 0.973524 0.973485 20169\n", "\n", "Classification report for turbine 15, turbine category 11\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960405 0.977390 0.968823 13401\n", " 20 0.955094 0.952734 0.953913 6474\n", "\n", "avg / total 0.944701 0.955228 0.949915 20169\n", "\n", "Classification report for turbine 15, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.977946 0.983098 0.980515 13667\n", " 20 0.964075 0.953399 0.958707 6502\n", "\n", "avg / total 0.973474 0.973524 0.973485 20169\n", "\n", "Classification report for turbine 15, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.977946 0.983098 0.980515 13667\n", " 20 0.964075 0.953399 0.958707 6502\n", "\n", "avg / total 0.973474 0.973524 0.973485 20169\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 15, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.277778 0.010616 0.020450 471\n", " 11 0.000000 0.000000 0.000000 307\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 226\n", " 15 0.000000 0.000000 0.000000 188\n", " 16 0.000000 0.000000 0.000000 173\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.823744 0.986798 0.897929 11665\n", " 20 0.893199 0.867024 0.879917 6347\n", "\n", "avg / total 0.763991 0.843820 0.796708 20169\n", "\n", "Classification report for turbine 15, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.938286 0.967868 0.952848 13258\n", " 20.0 0.968040 0.863406 0.912734 6911\n", "\n", "avg / total 0.948481 0.932074 0.939103 20169\n", "\n", "Classification report for turbine 15, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.934910 0.986951 0.960226 13258\n", " 20 0.971975 0.868181 0.917151 6911\n", "\n", "avg / total 0.947610 0.946254 0.945466 20169\n", "\n", "Classification report for turbine 15, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.915860 0.982849 0.948173 13002\n", " 20 0.966077 0.866249 0.913444 6871\n", "\n", "avg / total 0.919527 0.928702 0.922426 20169\n", "\n", "Classification report for turbine 15, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.114815 0.073200 0.089402 847\n", " 11 0.010239 0.004926 0.006652 609\n", " 12 0.000000 0.000000 0.000000 352\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 234\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.825029 0.965198 0.889626 11666\n", " 20 0.817348 0.762011 0.788710 5849\n", "\n", "avg / total 0.719369 0.782488 0.747252 20169\n", "\n", "Classification report for turbine 15, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 96\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.121212 0.028169 0.045714 142\n", " 13 0.000000 0.000000 0.000000 92\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.904187 0.986360 0.943488 12830\n", " 20 0.943978 0.856993 0.898385 6685\n", "\n", "avg / total 0.888910 0.911696 0.898267 20169\n", "\n", "Classification report for turbine 15, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.002128 0.011765 0.003604 85\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.023810 0.009259 0.013333 108\n", " 16 0.121951 0.046296 0.067114 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.883098 0.974986 0.926770 12513\n", " 20 0.937250 0.803936 0.865490 6707\n", "\n", "avg / total 0.860343 0.872577 0.863231 20169\n", "\n", "Classification report for turbine 15, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 33\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.920120 0.987501 0.952620 13041\n", " 20 0.956261 0.867196 0.909553 6807\n", "\n", "avg / total 0.917673 0.931182 0.922924 20169\n", "\n", "Classification report for turbine 15, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.039624 0.322404 0.070574 183\n", " 11 0.043478 0.046099 0.044750 282\n", " 12 0.006452 0.007937 0.007117 252\n", " 13 0.014286 0.011905 0.012987 252\n", " 14 0.011494 0.016129 0.013423 248\n", " 15 0.017241 0.004630 0.007299 216\n", " 16 0.008264 0.004630 0.005935 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.831621 0.906888 0.867625 11513\n", " 20 0.922813 0.654601 0.765904 6575\n", "\n", "avg / total 0.777185 0.735188 0.746769 20169\n", "\n", "Classification report for turbine 15, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.697640 0.233350 0.349723 2027\n", " 11 0.000000 0.000000 0.000000 189\n", " 12 0.000000 0.000000 0.000000 160\n", " 13 0.000000 0.000000 0.000000 115\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.062500 0.009259 0.016129 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.879470 0.981579 0.927723 12377\n", " 20 0.696834 0.818315 0.752705 4761\n", "\n", "avg / total 0.774639 0.819029 0.782225 20169\n", "\n", "Classification report for turbine 15, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.915190 0.986674 0.949589 12982\n", " 20 0.969707 0.868669 0.916412 6891\n", "\n", "avg / total 0.920385 0.931876 0.924317 20169\n", "\n", "Classification report for turbine 15, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.904727 0.981185 0.941407 12756\n", " 20 0.957707 0.859341 0.905861 6825\n", "\n", "avg / total 0.896279 0.911349 0.901933 20169\n", "\n", "Classification report for turbine 15, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.934910 0.986951 0.960226 13258\n", " 20 0.971975 0.868181 0.917151 6911\n", "\n", "avg / total 0.947610 0.946254 0.945466 20169\n", "\n", "Classification report for turbine 15, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.934910 0.986951 0.960226 13258\n", " 20 0.971975 0.868181 0.917151 6911\n", "\n", "avg / total 0.947610 0.946254 0.945466 20169\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 15, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.967780 0.980363 0.974031 14921\n", " 20.0 0.952471 0.862995 0.905528 5248\n", "\n", "avg / total 0.963797 0.949824 0.956207 20169\n", "\n", "Classification report for turbine 15, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.111111 0.011905 0.021505 84\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.953091 0.978638 0.965695 14699\n", " 20 0.928586 0.905453 0.916874 5098\n", "\n", "avg / total 0.929781 0.942139 0.935633 20169\n", "\n", "Classification report for turbine 15, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.964293 0.986395 0.975219 14921\n", " 20 0.958622 0.896151 0.926334 5248\n", "\n", "avg / total 0.962817 0.962913 0.962499 20169\n", "\n", "Classification report for turbine 15, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.038462 0.066667 0.048780 15\n", " 11 0.000000 0.000000 0.000000 37\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.948435 0.985011 0.966377 14677\n", " 20 0.944774 0.890324 0.916741 5188\n", "\n", "avg / total 0.933227 0.945858 0.939080 20169\n", "\n", "Classification report for turbine 15, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.085153 0.052139 0.064677 748\n", " 11 0.038462 0.008230 0.013559 243\n", " 12 0.000000 0.000000 0.000000 203\n", " 13 0.000000 0.000000 0.000000 154\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.892192 0.973795 0.931209 13776\n", " 20 0.779508 0.798613 0.788945 4325\n", "\n", "avg / total 0.780170 0.838415 0.807784 20169\n", "\n", "Classification report for turbine 15, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1045\n", " 11 0.000000 0.000000 0.000000 411\n", " 12 0.000000 0.000000 0.000000 234\n", " 13 0.000000 0.000000 0.000000 184\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 123\n", " 19 0.876451 0.985692 0.927867 13559\n", " 20 0.719804 0.872430 0.788802 4037\n", "\n", "avg / total 0.733286 0.837275 0.781662 20169\n", "\n", "Classification report for turbine 15, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.003484 0.007519 0.004762 133\n", " 11 0.000000 0.000000 0.000000 216\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.083333 0.004630 0.008772 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 213\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.875896 0.984485 0.927021 13535\n", " 20 0.872802 0.835619 0.853806 4812\n", "\n", "avg / total 0.796948 0.860132 0.825934 20169\n", "\n", "Classification report for turbine 15, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.964546 0.984585 0.974463 14921\n", " 20.0 0.957070 0.896341 0.925711 5248\n", "\n", "avg / total 0.962601 0.961624 0.961777 20169\n", "\n", "Classification report for turbine 15, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.524249 0.206928 0.296732 1097\n", " 11 0.106195 0.021938 0.036364 1094\n", " 12 0.068750 0.012209 0.020735 901\n", " 13 0.071429 0.011577 0.019925 691\n", " 14 0.000000 0.000000 0.000000 589\n", " 15 0.000000 0.000000 0.000000 507\n", " 16 0.000000 0.000000 0.000000 468\n", " 17 0.016949 0.002278 0.004016 439\n", " 18 0.000000 0.000000 0.000000 432\n", " 19 0.693468 0.942646 0.799082 10531\n", " 20 0.638541 0.849708 0.729143 3420\n", "\n", "avg / total 0.510523 0.649710 0.560678 20169\n", "\n", "Classification report for turbine 15, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.961592 0.975266 0.968381 14838\n", " 20 0.910802 0.847532 0.878029 5024\n", "\n", "avg / total 0.934304 0.928603 0.931135 20169\n", "\n", "Classification report for turbine 15, turbine 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0.975219 14921\n", " 20 0.958622 0.896151 0.926334 5248\n", "\n", "avg / total 0.962817 0.962913 0.962499 20169\n", "\n", "Classification report for turbine 15, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.945882 0.986201 0.965621 14639\n", " 20 0.953934 0.896037 0.924079 5223\n", "\n", "avg / total 0.933570 0.947841 0.940165 20169\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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"avg / total 0.884864 0.927215 0.905269 20169\n", "\n", "Classification report for turbine 15, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.071429 0.020548 0.031915 146\n", " 11 0.000000 0.000000 0.000000 118\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.938824 0.986606 0.962122 15679\n", " 20 0.910759 0.944092 0.927126 3470\n", "\n", "avg / total 0.887034 0.929545 0.907675 20169\n", "\n", "Classification report for turbine 15, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.990027 0.990147 0.990087 16543\n", " 20 0.955022 0.954495 0.954759 3626\n", "\n", "avg / total 0.983734 0.983737 0.983736 20169\n", "\n", "Classification report for turbine 15, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973695 0.989492 0.981530 16273\n", " 20 0.945766 0.950501 0.948128 3596\n", "\n", "avg / total 0.954233 0.967822 0.960975 20169\n", "\n", "Classification report for turbine 15, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.108883 0.052055 0.070436 730\n", " 11 0.010526 0.002315 0.003795 432\n", " 12 0.100000 0.016204 0.027888 432\n", " 13 0.000000 0.000000 0.000000 432\n", " 14 0.068966 0.004808 0.008989 416\n", " 15 0.000000 0.000000 0.000000 391\n", " 16 0.000000 0.000000 0.000000 360\n", " 17 0.000000 0.000000 0.000000 360\n", " 18 0.000000 0.000000 0.000000 360\n", " 19 0.828786 0.977844 0.897166 13856\n", " 20 0.641455 0.830417 0.723806 2400\n", "\n", "avg / total 0.653432 0.772968 0.705891 20169\n", "\n", "Classification report for turbine 15, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 396\n", " 11 0.000000 0.000000 0.000000 165\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 95\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.943415 0.984898 0.963710 15760\n", " 20 0.848029 0.920591 0.882822 3249\n", "\n", "avg / total 0.873790 0.917894 0.895253 20169\n", "\n", "Classification report for turbine 15, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.086364 0.069597 0.077079 273\n", " 11 0.076923 0.002315 0.004494 432\n", " 12 0.000000 0.000000 0.000000 432\n", " 13 0.000000 0.000000 0.000000 432\n", " 14 0.000000 0.000000 0.000000 416\n", " 15 0.000000 0.000000 0.000000 396\n", " 16 0.000000 0.000000 0.000000 396\n", " 17 0.000000 0.000000 0.000000 396\n", " 18 0.000000 0.000000 0.000000 394\n", " 19 0.832007 0.986107 0.902527 13892\n", " 20 0.698445 0.878598 0.778232 2710\n", "\n", "avg / total 0.669733 0.798255 0.727348 20169\n", "\n", "Classification report for turbine 15, turbine category 7\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990025 0.989905 0.989965 16543\n", " 20.0 0.954746 0.954220 0.954483 3626\n", "\n", "avg / total 0.983682 0.983490 0.983586 20169\n", "\n", "Classification report for turbine 15, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.692683 0.348039 0.463295 1224\n", " 11 0.159353 0.063014 0.090314 1095\n", " 12 0.060150 0.019025 0.028907 841\n", " 13 0.095238 0.016925 0.028743 709\n", " 14 0.034483 0.006098 0.010363 656\n", " 15 0.051282 0.006536 0.011594 612\n", " 16 0.040000 0.003623 0.006645 552\n", " 17 0.014493 0.001919 0.003390 521\n", " 18 0.017857 0.002016 0.003623 496\n", " 19 0.674596 0.924331 0.779961 11167\n", " 20 0.672115 0.895470 0.767880 2296\n", "\n", "avg / total 0.511147 0.640240 0.555538 20169\n", "\n", "Classification report for turbine 15, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.012500 0.020000 0.015385 100\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.956725 0.984489 0.970409 15989\n", " 20 0.919065 0.920377 0.919721 3504\n", "\n", "avg / total 0.918178 0.940453 0.929154 20169\n", "\n", "Classification report for turbine 15, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 14\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.971650 0.989839 0.980660 16239\n", " 20 0.883002 0.958084 0.919012 3340\n", "\n", "avg / total 0.928546 0.955625 0.941764 20169\n", "\n", "Classification report for turbine 15, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974040 0.987092 0.980523 16269\n", " 20 0.945634 0.955075 0.950331 3606\n", "\n", "avg / total 0.954763 0.966979 0.960832 20169\n", "\n", "Classification report for turbine 15, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.990027 0.990147 0.990087 16543\n", " 20 0.955022 0.954495 0.954759 3626\n", "\n", "avg / total 0.983734 0.983737 0.983736 20169\n", "\n", "Classification report for turbine 15, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990025 0.989966 0.989995 16543\n", " 20.0 0.954923 0.952289 0.953604 3626\n", "\n", "avg / total 0.983715 0.983192 0.983453 20169\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 16, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.921149 0.995003 0.956653 18210\n", " 20.0 0.956876 0.561586 0.707780 3556\n", "\n", "avg / total 0.926986 0.924194 0.915993 21766\n", "\n", "Classification report for turbine 16, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.905246 0.994533 0.947791 17925\n", " 20 0.955461 0.507749 0.663109 3549\n", "\n", "avg / total 0.901289 0.901819 0.888658 21766\n", "\n", "Classification report for turbine 16, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 563\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.133333 0.013889 0.025157 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.860298 0.986155 0.918937 16829\n", " 20 0.853183 0.611421 0.712349 3222\n", "\n", "avg / total 0.792341 0.853074 0.816117 21766\n", "\n", "Classification report for turbine 16, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.842543 0.715532 0.773860 2408\n", " 11 0.058824 0.001546 0.003012 647\n", " 12 0.000000 0.000000 0.000000 605\n", " 13 0.000000 0.000000 0.000000 576\n", " 14 0.000000 0.000000 0.000000 546\n", " 15 0.076923 0.003914 0.007449 511\n", " 16 0.000000 0.000000 0.000000 504\n", " 17 0.000000 0.000000 0.000000 504\n", " 18 0.000000 0.000000 0.000000 422\n", " 19 0.710825 0.990286 0.827601 13898\n", " 20 0.195833 0.041048 0.067870 1145\n", "\n", "avg / total 0.560943 0.713774 0.617886 21766\n", "\n", "Classification report for turbine 16, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 45\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.071429 0.003968 0.007519 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 236\n", " 19 0.836747 0.986066 0.905291 16363\n", " 20 0.943742 0.644431 0.765882 3358\n", "\n", "avg / total 0.775466 0.840761 0.798815 21766\n", "\n", "Classification report for turbine 16, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "Classification report for turbine 16, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.927942 0.995003 0.960303 18210\n", " 20 0.959375 0.604331 0.741546 3556\n", "\n", "avg / total 0.933078 0.931177 0.924564 21766\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 16, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 273\n", " 11 0.000000 0.000000 0.000000 301\n", " 12 0.000000 0.000000 0.000000 279\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.000000 0.000000 0.000000 192\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.874156 0.986373 0.926880 17465\n", " 20 0.730452 0.648276 0.686915 2320\n", "\n", "avg / total 0.779279 0.860562 0.816944 21766\n", "\n", "Classification report for turbine 16, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.951388 0.986011 0.968390 19015\n", " 20 0.870811 0.651763 0.745530 2751\n", "\n", "avg / total 0.941204 0.943766 0.940223 21766\n", "\n", "Classification report for turbine 16, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.951388 0.986011 0.968390 19015\n", " 20 0.870811 0.651763 0.745530 2751\n", "\n", "avg / total 0.941204 0.943766 0.940223 21766\n", "\n", "Classification report for turbine 16, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.951388 0.986011 0.968390 19015\n", " 20 0.870811 0.651763 0.745530 2751\n", "\n", "avg / total 0.941204 0.943766 0.940223 21766\n", "\n", "Classification report for turbine 16, turbine category 4\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.951289 0.985958 0.968313 19015\n", " 20.0 0.870623 0.650672 0.744747 2751\n", "\n", "avg / total 0.941093 0.943582 0.940057 21766\n", "\n", "Classification report for turbine 16, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 87\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.938854 0.986352 0.962017 18758\n", " 20 0.815930 0.638055 0.716113 2633\n", "\n", "avg / total 0.907809 0.927226 0.915696 21766\n", "\n", "Classification report for turbine 16, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.950644 0.985590 0.967802 19015\n", " 20.0 0.874236 0.624137 0.728314 2751\n", "\n", "avg / total 0.940987 0.939906 0.937533 21766\n", "\n", "Classification report for turbine 16, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.951388 0.986011 0.968390 19015\n", " 20 0.870811 0.651763 0.745530 2751\n", "\n", "avg / total 0.941204 0.943766 0.940223 21766\n", "\n", "Classification report for turbine 16, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.094444 0.037778 0.053968 450\n", " 11 0.000000 0.000000 0.000000 223\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.050000 0.004630 0.008475 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.047619 0.004630 0.008439 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.862842 0.973493 0.914834 17241\n", " 20 0.735309 0.604274 0.663383 2340\n", "\n", "avg / total 0.765435 0.836948 0.797248 21766\n", "\n", "Classification report for turbine 16, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.518631 0.835894 0.640107 1432\n", " 11 0.075728 0.059724 0.066781 653\n", " 12 0.006711 0.001634 0.002628 612\n", " 13 0.000000 0.000000 0.000000 612\n", " 14 0.005102 0.001634 0.002475 612\n", " 15 0.015228 0.005190 0.007742 578\n", " 16 0.067164 0.015625 0.025352 576\n", " 17 0.031250 0.003711 0.006633 539\n", " 18 0.054545 0.012821 0.020761 468\n", " 19 0.747671 0.903650 0.818293 14385\n", " 20 0.645161 0.215550 0.323139 1299\n", "\n", "avg / total 0.573487 0.667877 0.605837 21766\n", "\n", "Classification report for turbine 16, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.939565 0.985838 0.962145 18782\n", " 20 0.844099 0.645617 0.731635 2692\n", "\n", "avg / total 0.915153 0.930534 0.920728 21766\n", "\n", "Classification report for turbine 16, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 20\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.027778 0.009259 0.013889 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.035714 0.009259 0.014706 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.916451 0.972817 0.943793 18210\n", " 20 0.847637 0.691243 0.761492 2672\n", "\n", "avg / total 0.871098 0.898833 0.883225 21766\n", "\n", "Classification report for turbine 16, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.951388 0.986011 0.968390 19015\n", " 20 0.870811 0.651763 0.745530 2751\n", "\n", "avg / total 0.941204 0.943766 0.940223 21766\n", "\n", "Classification report for turbine 16, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.951388 0.986011 0.968390 19015\n", " 20 0.870811 0.651763 0.745530 2751\n", "\n", "avg / total 0.941204 0.943766 0.940223 21766\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 16, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.905011 0.937360 0.920902 8477\n", " 20.0 0.966456 0.930093 0.947925 13289\n", "\n", "avg / total 0.942525 0.932923 0.937401 21766\n", "\n", "Classification report for turbine 16, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.916165 0.951398 0.933449 8477\n", " 20 0.968217 0.944465 0.956194 13289\n", "\n", "avg / total 0.947945 0.947165 0.947336 21766\n", "\n", "Classification report for turbine 16, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.916165 0.951398 0.933449 8477\n", " 20 0.968217 0.944465 0.956194 13289\n", "\n", "avg / total 0.947945 0.947165 0.947336 21766\n", "\n", "Classification report for turbine 16, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.916051 0.951392 0.933387 8476\n", " 20 0.944380 0.943143 0.943761 12980\n", "\n", "avg / total 0.919898 0.932923 0.926280 21766\n", "\n", "Classification report for turbine 16, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 71\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.824264 0.947258 0.881492 7660\n", " 20 0.959732 0.944575 0.952093 13171\n", "\n", "avg / total 0.870830 0.904943 0.886348 21766\n", "\n", "Classification report for turbine 16, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.917277 0.945736 0.931289 8477\n", " 20.0 0.967948 0.945368 0.956525 13289\n", "\n", "avg / total 0.948214 0.945511 0.946697 21766\n", "\n", "Classification report for turbine 16, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.114000 0.067776 0.085011 841\n", " 11 0.000000 0.000000 0.000000 131\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.804722 0.946825 0.870009 7560\n", " 20 0.914806 0.906155 0.910460 12478\n", "\n", "avg / total 0.808349 0.850960 0.827413 21766\n", "\n", "Classification report for turbine 16, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.916165 0.951398 0.933449 8477\n", " 20 0.968217 0.944465 0.956194 13289\n", "\n", "avg / total 0.947945 0.947165 0.947336 21766\n", "\n", "Classification report for turbine 16, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.018644 0.070064 0.029451 157\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.874865 0.889188 0.881968 8185\n", " 20 0.932804 0.923801 0.928281 12848\n", "\n", "avg / total 0.879737 0.880180 0.879816 21766\n", "\n", "Classification report for turbine 16, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.027934 0.916129 0.054214 310\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 75\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.051282 0.018519 0.027211 108\n", " 19 0.885140 0.831138 0.857289 8048\n", " 20 0.931951 0.250845 0.395293 12721\n", "\n", "avg / total 0.872606 0.467059 0.548917 21766\n", "\n", "Classification report for turbine 16, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 79\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.879941 0.950086 0.913669 8154\n", " 20 0.943604 0.943969 0.943786 12957\n", "\n", "avg / total 0.891359 0.917854 0.904103 21766\n", "\n", "Classification report for turbine 16, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.911476 0.913336 0.912405 8331\n", " 20 0.950986 0.943388 0.947171 13142\n", "\n", "avg / total 0.923062 0.919186 0.921114 21766\n", "\n", "Classification report for turbine 16, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.916165 0.951398 0.933449 8477\n", " 20 0.968217 0.944465 0.956194 13289\n", "\n", "avg / total 0.947945 0.947165 0.947336 21766\n", "\n", "Classification report for turbine 16, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.916165 0.951398 0.933449 8477\n", " 20 0.968217 0.944465 0.956194 13289\n", "\n", "avg / total 0.947945 0.947165 0.947336 21766\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 16, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986390 0.986608 0.986499 18145\n", " 20.0 0.951116 0.929577 0.940223 3621\n", "\n", "avg / total 0.980522 0.977120 0.978801 21766\n", "\n", "Classification report for turbine 16, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.986333 0.990355 0.988340 18145\n", " 20 0.950663 0.931234 0.940848 3621\n", "\n", "avg / total 0.980399 0.980520 0.980439 21766\n", "\n", "Classification report for turbine 16, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.986333 0.990355 0.988340 18145\n", " 20 0.950663 0.931234 0.940848 3621\n", "\n", "avg / total 0.980399 0.980520 0.980439 21766\n", "\n", "Classification report for turbine 16, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986333 0.990355 0.988340 18145\n", " 20.0 0.950341 0.924883 0.937439 3621\n", "\n", "avg / total 0.980345 0.979463 0.979872 21766\n", "\n", "Classification report for turbine 16, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.272727 0.006224 0.012170 482\n", " 11 0.000000 0.000000 0.000000 260\n", " 12 0.006369 0.004630 0.005362 216\n", " 13 0.000000 0.000000 0.000000 159\n", " 14 0.000000 0.000000 0.000000 100\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 39\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.929221 0.973529 0.950859 17113\n", " 20 0.840422 0.915138 0.876190 3217\n", "\n", "avg / total 0.860894 0.900855 0.877413 21766\n", "\n", "Classification report for turbine 16, turbine category 5\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986386 0.990245 0.988312 18145\n", " 20.0 0.950409 0.931511 0.940865 3621\n", "\n", "avg / total 0.980400 0.980474 0.980418 21766\n", "\n", "Classification report for turbine 16, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.242574 0.746193 0.366127 197\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 69\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.964673 0.986201 0.975318 17610\n", " 20 0.920369 0.800515 0.856268 3494\n", "\n", "avg / total 0.930416 0.933153 0.929857 21766\n", "\n", "Classification report for turbine 16, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.986333 0.990355 0.988340 18145\n", " 20 0.950663 0.931234 0.940848 3621\n", "\n", "avg / total 0.980399 0.980520 0.980439 21766\n", "\n", "Classification report for turbine 16, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987124 0.984459 0.985790 18145\n", " 20.0 0.946744 0.859155 0.900825 3621\n", "\n", "avg / total 0.980407 0.963613 0.971655 21766\n", "\n", "Classification report for turbine 16, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.232829 0.519481 0.321543 385\n", " 11 0.000000 0.000000 0.000000 536\n", " 12 0.000000 0.000000 0.000000 504\n", " 13 0.061224 0.005952 0.010850 504\n", " 14 0.000000 0.000000 0.000000 492\n", " 15 0.017544 0.002151 0.003831 465\n", " 16 0.000000 0.000000 0.000000 421\n", " 17 0.017857 0.002326 0.004115 430\n", " 18 0.000000 0.000000 0.000000 396\n", " 19 0.784613 0.965109 0.865551 14445\n", " 20 0.904605 0.776349 0.835584 3188\n", "\n", "avg / total 0.659466 0.763622 0.702910 21766\n", "\n", "Classification report for turbine 16, turbine category 10\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986202 0.988702 0.987450 18145\n", " 20.0 0.948217 0.925435 0.936688 3621\n", "\n", "avg / total 0.979883 0.978177 0.979006 21766\n", "\n", "Classification report for turbine 16, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.942886 0.985793 0.963862 17316\n", " 20 0.937623 0.935258 0.936439 3568\n", "\n", "avg / total 0.903815 0.937563 0.920309 21766\n", "\n", "Classification report for turbine 16, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1487\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 64\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960371 0.990153 0.975035 17671\n", " 20 0.567240 0.906306 0.697763 2220\n", "\n", "avg / total 0.837544 0.896306 0.862762 21766\n", "\n", "Classification report for turbine 16, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 84\n", " 11 0.000000 0.000000 0.000000 118\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 102\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 43\n", " 19 0.950656 0.990960 0.970390 17478\n", " 20 0.930646 0.931171 0.930908 3545\n", "\n", "avg / total 0.914945 0.947395 0.930834 21766\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 16, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995074 0.994979 0.995027 21113\n", " 20.0 0.886914 0.840735 0.863208 653\n", "\n", "avg / total 0.991829 0.990352 0.991072 21766\n", "\n", "Classification report for turbine 16, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.995129 0.996637 0.995882 21113\n", " 20 0.885668 0.842266 0.863422 653\n", "\n", "avg / total 0.991845 0.992006 0.991909 21766\n", "\n", "Classification report for turbine 16, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.995129 0.996637 0.995882 21113\n", " 20 0.885668 0.842266 0.863422 653\n", "\n", "avg / total 0.991845 0.992006 0.991909 21766\n", "\n", "Classification report for turbine 16, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.995129 0.996637 0.995882 21113\n", " 20 0.885668 0.842266 0.863422 653\n", "\n", "avg / total 0.991845 0.992006 0.991909 21766\n", "\n", "Classification report for turbine 16, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995170 0.995406 0.995288 21113\n", " 20.0 0.875451 0.742726 0.803645 653\n", "\n", "avg / total 0.991578 0.987825 0.989538 21766\n", "\n", "Classification report for turbine 16, turbine category 5\n", " precision recall f1-score support\n", "\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995129 0.996590 0.995859 21113\n", " 20.0 0.885668 0.842266 0.863422 653\n", "\n", "avg / total 0.991845 0.991960 0.991885 21766\n", "\n", "Classification report for turbine 16, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 4\n", " 11.0 0.000000 0.000000 0.000000 36\n", " 12.0 0.000000 0.000000 0.000000 36\n", " 13.0 0.000000 0.000000 0.000000 36\n", " 14.0 0.000000 0.000000 0.000000 3\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989950 0.994239 0.992090 21003\n", " 20.0 0.880992 0.822531 0.850758 648\n", "\n", "avg / total 0.981476 0.983874 0.982640 21766\n", "\n", "Classification report for turbine 16, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.995129 0.996637 0.995882 21113\n", " 20 0.885668 0.842266 0.863422 653\n", "\n", "avg / total 0.991845 0.992006 0.991909 21766\n", "\n", "Classification report for turbine 16, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995400 0.994079 0.994739 21113\n", " 20.0 0.882448 0.839204 0.860283 653\n", "\n", "avg / total 0.992011 0.989433 0.990705 21766\n", "\n", "Classification report for turbine 16, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.805054 0.564557 0.663690 395\n", " 11 0.034884 0.004724 0.008322 635\n", " 12 0.000000 0.000000 0.000000 612\n", " 13 0.010989 0.001838 0.003150 544\n", " 14 0.000000 0.000000 0.000000 514\n", " 15 0.023256 0.003968 0.006780 504\n", " 16 0.000000 0.000000 0.000000 498\n", " 17 0.013333 0.002137 0.003683 468\n", " 18 0.000000 0.000000 0.000000 444\n", " 19 0.795797 0.964769 0.872174 16917\n", " 20 0.368421 0.565957 0.446309 235\n", "\n", "avg / total 0.639215 0.766517 0.695293 21766\n", "\n", "Classification report for turbine 16, turbine category 10\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995081 0.996542 0.995811 21113\n", " 20.0 0.886731 0.839204 0.862313 653\n", "\n", "avg / total 0.991831 0.991822 0.991806 21766\n", "\n", "Classification report for turbine 16, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.111111 0.013889 0.024691 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.968685 0.992405 0.980402 20541\n", " 20 0.858034 0.863422 0.860720 637\n", "\n", "avg / total 0.939645 0.961867 0.950496 21766\n", "\n", "Classification report for turbine 16, turbine category 12\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995214 0.994695 0.994954 21113\n", " 20.0 0.886914 0.840735 0.863208 653\n", "\n", "avg / total 0.991965 0.990076 0.991002 21766\n", "\n", "Classification report for turbine 16, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.981824 0.996206 0.988963 20822\n", " 20 0.869219 0.847589 0.858268 643\n", "\n", "avg / total 0.964920 0.978039 0.971426 21766\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 17, turbine category 0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.969366 0.982088 0.975685 18591\n", " 20 0.858911 0.875315 0.867036 2775\n", "\n", "avg / total 0.941926 0.954946 0.948391 21663\n", "\n", "Classification report for turbine 17, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.980834 0.982085 0.981459 18811\n", " 20 0.880835 0.873422 0.877113 2852\n", "\n", "avg / total 0.967668 0.967779 0.967721 21663\n", "\n", "Classification report for turbine 17, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.980834 0.982085 0.981459 18811\n", " 20 0.880835 0.873422 0.877113 2852\n", "\n", "avg / total 0.967668 0.967779 0.967721 21663\n", "\n", "Classification report for turbine 17, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.941176 0.238806 0.380952 134\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.965583 0.977053 0.971284 18521\n", " 20 0.844643 0.869485 0.856884 2720\n", "\n", "avg / total 0.937410 0.945991 0.940356 21663\n", "\n", "Classification report for turbine 17, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980471 0.982191 0.981331 18811\n", " 20.0 0.882142 0.860799 0.871340 2852\n", "\n", "avg / total 0.967526 0.966210 0.966850 21663\n", "\n", "Classification report for turbine 17, turbine category 5\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980714 0.978576 0.979644 18811\n", " 20.0 0.880792 0.873072 0.876915 2852\n", "\n", "avg / total 0.967559 0.964686 0.966119 21663\n", "\n", "Classification report for turbine 17, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.113889 0.445652 0.181416 92\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.010204 0.006944 0.008264 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.009639 0.027778 0.014311 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.933151 0.933881 0.933516 17907\n", " 20 0.766967 0.778264 0.772575 2512\n", "\n", "avg / total 0.860910 0.864331 0.862167 21663\n", "\n", "Classification report for turbine 17, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 86\n", " 11 0.000000 0.000000 0.000000 82\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.966764 0.982412 0.974525 18535\n", " 20 0.836987 0.874077 0.855130 2708\n", "\n", "avg / total 0.931798 0.949822 0.940706 21663\n", "\n", "Classification report for turbine 17, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.006897 0.005051 0.005831 198\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.954136 0.967643 0.960842 18296\n", " 20 0.800305 0.809873 0.805060 2593\n", "\n", "avg / total 0.901696 0.914232 0.907919 21663\n", "\n", "Classification report for turbine 17, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.727147 0.800915 0.762250 1311\n", " 11 0.027439 0.018219 0.021898 494\n", " 12 0.064897 0.048140 0.055276 457\n", " 13 0.043118 0.060185 0.050242 432\n", " 14 0.011905 0.005464 0.007491 366\n", " 15 0.000000 0.000000 0.000000 304\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.055046 0.020833 0.030227 288\n", " 18 0.021505 0.006944 0.010499 288\n", " 19 0.856743 0.890159 0.873132 16178\n", " 20 0.627465 0.708831 0.665671 1257\n", "\n", "avg / total 0.724306 0.757467 0.740149 21663\n", "\n", "Classification report for turbine 17, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.980834 0.982085 0.981459 18811\n", " 20 0.880835 0.873422 0.877113 2852\n", "\n", "avg / total 0.967668 0.967779 0.967721 21663\n", "\n", "Classification report for turbine 17, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 50\n", " 11 0.000000 0.000000 0.000000 288\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.000000 0.000000 0.000000 288\n", " 15 0.000000 0.000000 0.000000 288\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 288\n", " 19 0.880276 0.984093 0.929294 16848\n", " 20 0.766620 0.880943 0.819815 2461\n", "\n", "avg / total 0.771709 0.865439 0.815875 21663\n", "\n", "Classification report for turbine 17, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.980834 0.982085 0.981459 18811\n", " 20 0.880835 0.873422 0.877113 2852\n", "\n", "avg / total 0.967668 0.967779 0.967721 21663\n", "\n", "Classification report for turbine 17, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.980834 0.982085 0.981459 18811\n", " 20 0.880835 0.873422 0.877113 2852\n", "\n", "avg / total 0.967668 0.967779 0.967721 21663\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 17, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 173\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 1.000000 0.013889 0.027397 144\n", " 13 0.000000 0.000000 0.000000 113\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 88\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.894553 0.979352 0.935034 15159\n", " 20 0.903796 0.818689 0.859140 5554\n", "\n", "avg / total 0.864341 0.895305 0.874754 21663\n", "\n", "Classification report for turbine 17, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.940864 0.978884 0.959497 15912\n", " 20 0.934221 0.829769 0.878902 5751\n", "\n", "avg / total 0.939100 0.939297 0.938101 21663\n", "\n", "Classification report for turbine 17, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.940864 0.978884 0.959497 15912\n", " 20 0.934221 0.829769 0.878902 5751\n", "\n", "avg / total 0.939100 0.939297 0.938101 21663\n", "\n", "Classification report for turbine 17, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.025000 0.011628 0.015873 86\n", " 11 0.000000 0.000000 0.000000 41\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.939383 0.977341 0.957986 15888\n", " 20 0.864668 0.812268 0.837649 5396\n", "\n", "avg / total 0.904437 0.919171 0.911315 21663\n", "\n", "Classification report for turbine 17, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.929935 0.978767 0.953726 15730\n", " 20 0.912166 0.817408 0.862191 5641\n", "\n", "avg / total 0.912773 0.923556 0.917035 21663\n", "\n", "Classification report for turbine 17, turbine category 5\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.940607 0.977376 0.958639 15912\n", " 20.0 0.934182 0.829247 0.878592 5751\n", "\n", "avg / total 0.938902 0.938051 0.937389 21663\n", "\n", "Classification report for turbine 17, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.687003 0.398615 0.504505 2599\n", " 11 0.000000 0.000000 0.000000 1049\n", " 12 0.000000 0.000000 0.000000 877\n", " 13 0.000000 0.000000 0.000000 825\n", " 14 0.000000 0.000000 0.000000 751\n", " 15 0.000000 0.000000 0.000000 618\n", " 16 0.000000 0.000000 0.000000 504\n", " 17 0.000000 0.000000 0.000000 501\n", " 18 0.000000 0.000000 0.000000 448\n", " 19 0.667434 0.957790 0.786675 10590\n", " 20 0.459378 0.738711 0.566482 2901\n", "\n", "avg / total 0.470217 0.614966 0.520956 21663\n", "\n", "Classification report for turbine 17, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.937824 0.978255 0.957613 15912\n", " 20.0 0.933599 0.814119 0.869775 5751\n", "\n", "avg / total 0.936702 0.934681 0.934294 21663\n", "\n", "Classification report for turbine 17, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.153846 0.161290 0.157480 186\n", " 11 0.000000 0.000000 0.000000 154\n", " 12 0.000000 0.000000 0.000000 130\n", " 13 0.000000 0.000000 0.000000 90\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.899543 0.969170 0.933060 15245\n", " 20 0.896772 0.793198 0.841811 5498\n", "\n", "avg / total 0.861958 0.884734 0.871627 21663\n", "\n", "Classification report for turbine 17, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.409483 0.608000 0.489375 2500\n", " 11 0.060484 0.014151 0.022936 1060\n", " 12 0.032258 0.004251 0.007512 941\n", " 13 0.024259 0.010297 0.014458 874\n", " 14 0.019802 0.002538 0.004499 788\n", " 15 0.000000 0.000000 0.000000 610\n", " 16 0.095890 0.012153 0.021572 576\n", " 17 0.032258 0.001736 0.003295 576\n", " 18 0.023810 0.001821 0.003384 549\n", " 19 0.674766 0.945471 0.787504 10985\n", " 20 0.462500 0.318966 0.377551 2204\n", "\n", "avg / total 0.446546 0.583853 0.497163 21663\n", "\n", "Classification report for turbine 17, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 111\n", " 11 0.000000 0.000000 0.000000 38\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.932468 0.979319 0.955319 15763\n", " 20 0.894479 0.830878 0.861507 5499\n", "\n", "avg / total 0.905564 0.923510 0.913822 21663\n", "\n", "Classification report for turbine 17, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.016393 0.083333 0.027397 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.018519 0.013889 0.015873 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.921661 0.966630 0.943610 15433\n", " 20 0.911969 0.837292 0.873036 5642\n", "\n", "avg / total 0.894191 0.906800 0.899685 21663\n", "\n", "Classification report for turbine 17, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.940864 0.978884 0.959497 15912\n", " 20 0.934221 0.829769 0.878902 5751\n", "\n", "avg / total 0.939100 0.939297 0.938101 21663\n", "\n", "Classification report for turbine 17, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.940864 0.978884 0.959497 15912\n", " 20 0.934221 0.829769 0.878902 5751\n", "\n", "avg / total 0.939100 0.939297 0.938101 21663\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 17, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.043011 0.036036 0.039216 222\n", " 11 0.058824 0.005102 0.009390 196\n", " 12 0.000000 0.000000 0.000000 137\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 105\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.863210 0.961260 0.909600 10635\n", " 20 0.947513 0.906263 0.926429 9900\n", "\n", "avg / total 0.857762 0.886488 0.870415 21663\n", "\n", "Classification report for turbine 17, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.897619 0.987965 0.940627 11217\n", " 20 0.985510 0.878997 0.929211 10446\n", "\n", "avg / total 0.940000 0.935420 0.935122 21663\n", "\n", "Classification report for turbine 17, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.897619 0.987965 0.940627 11217\n", " 20 0.985510 0.878997 0.929211 10446\n", "\n", "avg / total 0.940000 0.935420 0.935122 21663\n", "\n", "Classification report for turbine 17, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 38\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.875779 0.987859 0.928449 10955\n", " 20 0.978698 0.871797 0.922160 10382\n", "\n", "avg / total 0.911924 0.917371 0.911463 21663\n", "\n", "Classification report for turbine 17, turbine category 4\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.897610 0.987876 0.940582 11217\n", " 20.0 0.985562 0.875646 0.927358 10446\n", "\n", "avg / total 0.940021 0.933758 0.934206 21663\n", "\n", "Classification report for turbine 17, turbine category 5\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.897594 0.987697 0.940492 11217\n", " 20.0 0.985510 0.878997 0.929211 10446\n", "\n", "avg / total 0.939988 0.935281 0.935053 21663\n", "\n", "Classification report for turbine 17, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.032239 0.281330 0.057849 391\n", " 11 0.005376 0.006667 0.005952 150\n", " 12 0.009709 0.009259 0.009479 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.007143 0.009259 0.008065 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.865262 0.925365 0.894305 10826\n", " 20 0.898456 0.549057 0.681588 9540\n", "\n", "avg / total 0.828778 0.709459 0.748257 21663\n", "\n", "Classification report for turbine 17, turbine category 7\n", " precision recall f1-score support\n", "\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.897149 0.987608 0.940208 11217\n", " 20.0 0.985386 0.877848 0.928514 10446\n", "\n", "avg / total 0.939697 0.934681 0.934569 21663\n", "\n", "Classification report for turbine 17, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 131\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.820203 0.984018 0.894674 10199\n", " 20 0.959728 0.873097 0.914365 10181\n", "\n", "avg / total 0.837199 0.873609 0.850941 21663\n", "\n", "Classification report for turbine 17, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.128152 0.477401 0.202062 1416\n", " 11 0.003989 0.004854 0.004380 618\n", " 12 0.025641 0.012848 0.017118 467\n", " 13 0.033613 0.023055 0.027350 347\n", " 14 0.022388 0.018519 0.020270 324\n", " 15 0.014085 0.003086 0.005063 324\n", " 16 0.000000 0.000000 0.000000 324\n", " 17 0.042553 0.006173 0.010782 324\n", " 18 0.019231 0.003086 0.005319 324\n", " 19 0.694889 0.926491 0.794148 8584\n", " 20 0.801925 0.299965 0.436613 8611\n", "\n", "avg / total 0.605166 0.518811 0.502995 21663\n", "\n", "Classification report for turbine 17, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.896197 0.987519 0.939645 11217\n", " 20.0 0.985569 0.863010 0.920227 10446\n", "\n", "avg / total 0.939293 0.927480 0.930281 21663\n", "\n", "Classification report for turbine 17, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 11\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.883949 0.971810 0.925800 10926\n", " 20 0.951722 0.873990 0.911201 10150\n", "\n", "avg / total 0.891751 0.899645 0.893874 21663\n", "\n", "Classification report for turbine 17, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.897619 0.987965 0.940627 11217\n", " 20 0.985510 0.878997 0.929211 10446\n", "\n", "avg / total 0.940000 0.935420 0.935122 21663\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 17, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 21\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.882391 0.988118 0.932266 11025\n", " 20 0.977246 0.881499 0.926906 10329\n", "\n", "avg / total 0.915032 0.923187 0.916413 21663\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 17, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.279070 0.035088 0.062338 342\n", " 11 0.038462 0.003831 0.006969 261\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 222\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.906505 0.986077 0.944618 17453\n", " 20 0.717877 0.891919 0.795490 2017\n", "\n", "avg / total 0.802044 0.878087 0.836175 21663\n", "\n", "Classification report for turbine 17, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 35\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975728 0.990179 0.982901 18838\n", " 20 0.913590 0.918279 0.915928 2533\n", "\n", "avg / total 0.955311 0.968425 0.961821 21663\n", "\n", "Classification report for turbine 17, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.988910 0.990309 0.989609 19090\n", " 20 0.927337 0.917606 0.922446 2573\n", "\n", "avg / total 0.981597 0.981674 0.981632 21663\n", "\n", "Classification report for turbine 17, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.977857 0.989512 0.983650 18878\n", " 20 0.898689 0.907705 0.903174 2492\n", "\n", "avg / total 0.955524 0.966717 0.961088 21663\n", "\n", "Classification report for turbine 17, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988806 0.990204 0.989505 19090\n", " 20.0 0.927108 0.914497 0.920759 2573\n", "\n", "avg / total 0.981478 0.981212 0.981339 21663\n", "\n", "Classification report for turbine 17, turbine category 5\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988907 0.989995 0.989451 19090\n", " 20.0 0.927337 0.917606 0.922446 2573\n", "\n", "avg / total 0.981594 0.981397 0.981492 21663\n", "\n", "Classification report for turbine 17, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.255151 0.536667 0.345865 300\n", " 11 0.044444 0.007407 0.012698 270\n", " 12 0.000000 0.000000 0.000000 129\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 105\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.019802 0.018519 0.019139 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.025641 0.009259 0.013605 108\n", " 19 0.942862 0.969495 0.955993 18161\n", " 20 0.775907 0.683503 0.726780 2158\n", "\n", "avg / total 0.872048 0.888520 0.878960 21663\n", "\n", "Classification report for turbine 17, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 35\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975620 0.989914 0.982715 18838\n", " 20 0.909771 0.914093 0.911927 2526\n", "\n", "avg / total 0.954476 0.967410 0.960897 21663\n", "\n", "Classification report for turbine 17, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.797101 0.037162 0.071014 1480\n", " 11 0.117647 0.002121 0.004167 943\n", " 12 0.000000 0.000000 0.000000 618\n", " 13 0.000000 0.000000 0.000000 505\n", " 14 0.090909 0.002315 0.004515 432\n", " 15 0.000000 0.000000 0.000000 432\n", " 16 0.000000 0.000000 0.000000 413\n", " 17 0.000000 0.000000 0.000000 396\n", " 18 0.000000 0.000000 0.000000 396\n", " 19 0.786204 0.985728 0.874732 15135\n", " 20 0.318200 0.867470 0.465608 913\n", "\n", "avg / total 0.624089 0.727923 0.635884 21663\n", "\n", "Classification report for turbine 17, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.072215 0.589888 0.128676 178\n", " 11 0.000000 0.000000 0.000000 124\n", " 12 0.008929 0.018519 0.012048 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.011364 0.009259 0.010204 108\n", " 16 0.000000 0.000000 0.000000 99\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.945392 0.927438 0.936329 18219\n", " 20 0.861086 0.379408 0.526730 2467\n", "\n", "avg / total 0.893849 0.828186 0.848624 21663\n", "\n", "Classification report for turbine 17, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988802 0.989838 0.989319 19090\n", " 20.0 0.926407 0.914885 0.920610 2573\n", "\n", "avg / total 0.981391 0.980935 0.981158 21663\n", "\n", "Classification report for turbine 17, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.959969 0.987852 0.973711 18522\n", " 20 0.917355 0.913401 0.915374 2552\n", "\n", "avg / total 0.928848 0.952223 0.940364 21663\n", "\n", "Classification report for turbine 17, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.988910 0.990309 0.989609 19090\n", " 20 0.927337 0.917606 0.922446 2573\n", "\n", "avg / total 0.981597 0.981674 0.981632 21663\n", "\n", "Classification report for turbine 17, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 20\n", " 11 0.000000 0.000000 0.000000 39\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973524 0.989839 0.981614 18797\n", " 20 0.919843 0.916243 0.918039 2555\n", "\n", "avg / total 0.953217 0.966948 0.960023 21663\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 17, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.117647 0.096386 0.105960 83\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 66\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.965798 0.988064 0.976804 18348\n", " 20 0.924037 0.920995 0.922513 2734\n", "\n", "avg / total 0.935076 0.953469 0.944161 21663\n", "\n", "Classification report for turbine 17, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992933 0.990198 0.991564 18873\n", " 20.0 0.941865 0.952330 0.947068 2790\n", "\n", "avg / total 0.986356 0.985321 0.985833 21663\n", "\n", "Classification report for turbine 17, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.992941 0.991310 0.992125 18873\n", " 20 0.941865 0.952330 0.947068 2790\n", "\n", "avg / total 0.986363 0.986290 0.986322 21663\n", "\n", "Classification report for turbine 17, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.070064 0.080882 0.075085 136\n", " 11 0.000000 0.000000 0.000000 57\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.981677 0.990674 0.986155 18658\n", " 20 0.855522 0.883594 0.869331 2560\n", "\n", "avg / total 0.947043 0.958178 0.952564 21663\n", "\n", "Classification report for turbine 17, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 109\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.949565 0.990749 0.969720 18053\n", " 20 0.888610 0.940842 0.913980 2637\n", "\n", "avg / total 0.899495 0.940174 0.919380 21663\n", "\n", "Classification report for turbine 17, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 865\n", " 11 0.000000 0.000000 0.000000 822\n", " 12 0.000000 0.000000 0.000000 362\n", " 13 0.000000 0.000000 0.000000 256\n", " 14 0.000000 0.000000 0.000000 185\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 173\n", " 19 0.871968 0.990772 0.927581 16580\n", " 20 0.632176 0.948936 0.758826 1880\n", "\n", "avg / total 0.722232 0.840650 0.775788 21663\n", "\n", "Classification report for turbine 17, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.021875 0.107692 0.036364 65\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.042553 0.007937 0.013378 252\n", " 14 0.046512 0.007937 0.013559 252\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.083333 0.003968 0.007576 252\n", " 19 0.896949 0.982756 0.937894 17049\n", " 20 0.843252 0.794315 0.818052 2533\n", "\n", "avg / total 0.806578 0.866870 0.834295 21663\n", "\n", "Classification report for turbine 17, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992934 0.990304 0.991617 18873\n", " 20.0 0.942014 0.949104 0.945545 2790\n", "\n", "avg / total 0.986376 0.984997 0.985684 21663\n", "\n", "Classification report for turbine 17, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.015015 0.018315 0.016502 273\n", " 11 0.137255 0.069136 0.091954 405\n", " 12 0.079412 0.068182 0.073370 396\n", " 13 0.009615 0.002725 0.004246 367\n", " 14 0.112245 0.030556 0.048035 360\n", " 15 0.000000 0.000000 0.000000 360\n", " 16 0.019608 0.002778 0.004866 360\n", " 17 0.050000 0.006135 0.010929 326\n", " 18 0.000000 0.000000 0.000000 324\n", " 19 0.862007 0.948388 0.903137 16256\n", " 20 0.752732 0.831843 0.790312 2236\n", "\n", "avg / total 0.731862 0.800997 0.763675 21663\n", "\n", "Classification report for turbine 17, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.001449 0.250000 0.002882 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.017544 0.027778 0.021505 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.043478 0.027778 0.033898 36\n", " 19 0.978422 0.970686 0.974539 18592\n", " 20 0.915449 0.631162 0.747178 2779\n", "\n", "avg / total 0.957257 0.914185 0.932329 21663\n", "\n", "Classification report for turbine 17, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980999 0.991205 0.986076 18647\n", " 20 0.918120 0.947813 0.932731 2721\n", "\n", "avg / total 0.959742 0.972257 0.965947 21663\n", "\n", "Classification report for turbine 17, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.100000 0.013889 0.024390 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.963335 0.988965 0.975982 18305\n", " 20 0.933263 0.954496 0.943760 2769\n", "\n", "avg / total 0.933632 0.957716 0.945408 21663\n", "\n", "Classification report for turbine 17, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.992941 0.991310 0.992125 18873\n", " 20 0.941865 0.952330 0.947068 2790\n", "\n", "avg / total 0.986363 0.986290 0.986322 21663\n", "\n", "Classification report for turbine 17, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992932 0.989986 0.991457 18873\n", " 20.0 0.942827 0.951613 0.947199 2790\n", "\n", "avg / total 0.986479 0.985044 0.985757 21663\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "------------------------------------------------------------------------\n", "Classification report for turbine 18, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.983662 0.997773 0.990667 19309\n", " 20 0.976031 0.845485 0.906080 2071\n", "\n", "avg / total 0.982923 0.983022 0.982474 21380\n", "\n", "Classification report for turbine 18, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.157248 0.566372 0.246154 113\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.015267 0.018519 0.016736 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.940223 0.963172 0.951559 18437\n", " 20 0.953737 0.681587 0.795016 1966\n", "\n", "avg / total 0.899409 0.896352 0.895067 21380\n", "\n", "Classification report for turbine 18, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.983662 0.997773 0.990667 19309\n", " 20 0.976031 0.845485 0.906080 2071\n", "\n", "avg / total 0.982923 0.983022 0.982474 21380\n", "\n", "Classification report for turbine 18, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.046729 0.021739 0.029674 230\n", " 11 0.000000 0.000000 0.000000 107\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.943574 0.992279 0.967314 18521\n", " 20 0.943953 0.792864 0.861837 2018\n", "\n", "avg / total 0.906997 0.934659 0.919627 21380\n", "\n", "Classification report for turbine 18, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.809859 0.216573 0.341753 531\n", " 11 0.000000 0.000000 0.000000 69\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.977916 0.997081 0.987406 19186\n", " 20 0.630881 0.779434 0.697333 1342\n", "\n", "avg / total 0.937277 0.949065 0.938338 21380\n", "\n", "Classification report for turbine 18, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 198\n", " 11 0.000000 0.000000 0.000000 92\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 64\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.500000 0.055556 0.100000 36\n", " 17 0.555556 0.138889 0.222222 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.964048 0.996612 0.980059 18888\n", " 20 0.877369 0.834571 0.855435 1886\n", "\n", "avg / total 0.930854 0.954397 0.941829 21380\n", "\n", "Classification report for turbine 18, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2642\n", " 11 0.000000 0.000000 0.000000 78\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.862492 0.995454 0.924215 16937\n", " 20 0.506392 0.747334 0.603711 1219\n", "\n", "avg / total 0.712129 0.831197 0.766574 21380\n", "\n", "Classification report for turbine 18, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985930 0.961728 0.973679 19309\n", " 20.0 0.983823 0.792854 0.878075 2071\n", "\n", "avg / total 0.985726 0.945370 0.964418 21380\n", "\n", "Classification report for turbine 18, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 91\n", " 11 0.000000 0.000000 0.000000 146\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.088235 0.022388 0.035714 134\n", " 15 0.032967 0.027778 0.030151 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.930161 0.991781 0.959983 18250\n", " 20 0.961094 0.775380 0.858306 2039\n", "\n", "avg / total 0.886365 0.920814 0.901675 21380\n", "\n", "Classification report for turbine 18, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.062570 0.216216 0.097054 259\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 121\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.030303 0.009259 0.014184 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.934112 0.954481 0.944187 18344\n", " 20 0.817333 0.335339 0.475562 1828\n", "\n", "avg / total 0.872260 0.850281 0.852019 21380\n", "\n", "Classification report for turbine 18, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.983662 0.997773 0.990667 19309\n", " 20 0.976031 0.845485 0.906080 2071\n", "\n", "avg / total 0.982923 0.983022 0.982474 21380\n", "\n", "Classification report for turbine 18, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.069767 0.130435 43\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 252\n", " 14 0.000000 0.000000 0.000000 252\n", " 15 0.142857 0.003968 0.007722 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.882877 0.989613 0.933203 17329\n", " 20 0.957825 0.866466 0.909858 1992\n", "\n", "avg / total 0.808529 0.883022 0.841509 21380\n", "\n", "Classification report for turbine 18, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.983662 0.997773 0.990667 19309\n", " 20 0.976031 0.845485 0.906080 2071\n", "\n", "avg / total 0.982923 0.983022 0.982474 21380\n", "\n", "Classification report for turbine 18, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.983662 0.997773 0.990667 19309\n", " 20 0.976031 0.845485 0.906080 2071\n", "\n", "avg / total 0.982923 0.983022 0.982474 21380\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 18, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.990727 0.992459 0.991592 20023\n", " 20 0.885779 0.862933 0.874207 1357\n", "\n", "avg / total 0.984066 0.984238 0.984142 21380\n", "\n", "Classification report for turbine 18, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.007299 0.010204 0.008511 98\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.959454 0.975543 0.967432 19381\n", " 20 0.872526 0.831698 0.851623 1325\n", "\n", "avg / total 0.923854 0.935921 0.929795 21380\n", "\n", "Classification report for turbine 18, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.990727 0.992459 0.991592 20023\n", " 20 0.885779 0.862933 0.874207 1357\n", "\n", "avg / total 0.984066 0.984238 0.984142 21380\n", "\n", "Classification report for turbine 18, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.777778 0.312500 0.445860 112\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962423 0.980373 0.971315 19463\n", " 20 0.807182 0.841334 0.823904 1229\n", "\n", "avg / total 0.926603 0.942470 0.933921 21380\n", "\n", "Classification report for turbine 18, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990251 0.979024 0.984605 20023\n", " 20.0 0.900085 0.783346 0.837667 1357\n", "\n", "avg / total 0.984528 0.966604 0.975279 21380\n", "\n", "Classification report for turbine 18, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990365 0.990811 0.990588 20023\n", " 20.0 0.886173 0.854827 0.870218 1357\n", "\n", "avg / total 0.983752 0.982180 0.982948 21380\n", "\n", "Classification report for turbine 18, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976381 0.988550 0.982428 19738\n", " 20 0.885783 0.821481 0.852421 1350\n", "\n", "avg / total 0.957325 0.964500 0.960801 21380\n", "\n", "Classification report for turbine 18, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990673 0.981321 0.985975 20023\n", " 20.0 0.887538 0.860722 0.873924 1357\n", "\n", "avg / total 0.984127 0.973667 0.978863 21380\n", "\n", "Classification report for turbine 18, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.043478 0.006944 0.011976 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.933259 0.977217 0.954733 18874\n", " 20 0.867570 0.861734 0.864642 1338\n", "\n", "avg / total 0.878457 0.916651 0.897018 21380\n", "\n", "Classification report for turbine 18, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.027027 0.178218 0.046936 101\n", " 11 0.000000 0.000000 0.000000 110\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.947227 0.973913 0.960385 19167\n", " 20 0.723869 0.372392 0.491786 1246\n", "\n", "avg / total 0.891495 0.895650 0.889860 21380\n", "\n", "Classification report for turbine 18, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.990727 0.992459 0.991592 20023\n", " 20 0.885779 0.862933 0.874207 1357\n", "\n", "avg / total 0.984066 0.984238 0.984142 21380\n", "\n", "Classification report for turbine 18, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.125000 0.153846 0.137931 13\n", " 11 0.040000 0.013889 0.020619 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962916 0.981587 0.972162 19443\n", " 20 0.861943 0.875371 0.868605 1348\n", "\n", "avg / total 0.930233 0.947989 0.939004 21380\n", "\n", "Classification report for turbine 18, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.990727 0.992459 0.991592 20023\n", " 20 0.885779 0.862933 0.874207 1357\n", "\n", "avg / total 0.984066 0.984238 0.984142 21380\n", "\n", "Classification report for turbine 18, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.990727 0.992459 0.991592 20023\n", " 20 0.885779 0.862933 0.874207 1357\n", "\n", "avg / total 0.984066 0.984238 0.984142 21380\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 18, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 202\n", " 11 0.000000 0.000000 0.000000 219\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 216\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 185\n", " 16 0.000000 0.000000 0.000000 177\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.869499 0.998191 0.929411 16587\n", " 20 0.934559 0.710800 0.807465 3074\n", "\n", "avg / total 0.808944 0.876614 0.837151 21380\n", "\n", "Classification report for turbine 18, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.011252 0.250000 0.021534 32\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.153846 0.018519 0.033058 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.909658 0.986973 0.946740 17272\n", " 20 0.961867 0.526152 0.680217 3212\n", "\n", "avg / total 0.880174 0.876848 0.867222 21380\n", "\n", "Classification report for turbine 18, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.950215 0.997739 0.973398 18135\n", " 20 0.982464 0.707858 0.822855 3245\n", "\n", "avg / total 0.955110 0.953742 0.950549 21380\n", "\n", "Classification report for turbine 18, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.935667 0.996920 0.965323 17857\n", " 20 0.975986 0.704862 0.818558 3229\n", "\n", "avg / total 0.928890 0.939102 0.929883 21380\n", "\n", "Classification report for turbine 18, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 52\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.931578 0.994000 0.961777 17834\n", " 20 0.972747 0.542326 0.696397 3225\n", "\n", "avg / total 0.923801 0.910945 0.907307 21380\n", "\n", "Classification report for turbine 18, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.949955 0.997519 0.973156 18135\n", " 20.0 0.982198 0.680123 0.803714 3245\n", "\n", "avg / total 0.954849 0.949345 0.947439 21380\n", "\n", "Classification report for turbine 18, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.007619 0.097561 0.014134 41\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 1.000000 0.013889 0.027397 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.921767 0.994766 0.956876 17577\n", " 20 0.950927 0.547395 0.694821 3186\n", "\n", "avg / total 0.902894 0.899626 0.890330 21380\n", "\n", "Classification report for turbine 18, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.947092 0.995975 0.970919 18135\n", " 20.0 0.977838 0.557473 0.710108 3245\n", "\n", "avg / total 0.951759 0.929420 0.931334 21380\n", "\n", "Classification report for turbine 18, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 167\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.890081 0.992571 0.938537 16961\n", " 20 0.941125 0.708703 0.808543 3045\n", "\n", "avg / total 0.840150 0.888354 0.859707 21380\n", "\n", "Classification report for turbine 18, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 21\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.940460 0.990681 0.964918 17921\n", " 20 0.979464 0.696508 0.814100 3150\n", "\n", "avg / total 0.932614 0.933022 0.928751 21380\n", "\n", "Classification report for turbine 18, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.950215 0.997739 0.973398 18135\n", " 20 0.982464 0.707858 0.822855 3245\n", "\n", "avg / total 0.955110 0.953742 0.950549 21380\n", "\n", "Classification report for turbine 18, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.200000 0.055556 0.086957 18\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.062500 0.009259 0.016129 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.908249 0.992082 0.948316 17302\n", " 20 0.972246 0.723404 0.829566 3196\n", "\n", "avg / total 0.880831 0.911085 0.891598 21380\n", "\n", "Classification report for turbine 18, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.950215 0.997739 0.973398 18135\n", " 20 0.982464 0.707858 0.822855 3245\n", "\n", "avg / total 0.955110 0.953742 0.950549 21380\n", "\n", "Classification report for turbine 18, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.950215 0.997739 0.973398 18135\n", " 20 0.982464 0.707858 0.822855 3245\n", "\n", "avg / total 0.955110 0.953742 0.950549 21380\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 18, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986649 0.993667 0.990146 20527\n", " 20.0 0.905363 0.672919 0.772024 853\n", "\n", "avg / total 0.983406 0.980870 0.981443 21380\n", "\n", "Classification report for turbine 18, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986700 0.990257 0.988475 20527\n", " 20.0 0.909699 0.637749 0.749828 853\n", "\n", "avg / total 0.983628 0.976193 0.978954 21380\n", "\n", "Classification report for turbine 18, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.986362 0.997126 0.991715 20527\n", " 20 0.906200 0.668230 0.769231 853\n", "\n", "avg / total 0.983164 0.984004 0.982838 21380\n", "\n", "Classification report for turbine 18, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.285714 0.076923 0.121212 78\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.971157 0.994853 0.982862 20205\n", " 20 0.872340 0.658838 0.750704 809\n", "\n", "avg / total 0.951835 0.965388 0.957694 21380\n", "\n", "Classification report for turbine 18, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.016949 0.045455 0.024691 22\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 66\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967963 0.995929 0.981747 20144\n", " 20 0.845614 0.584951 0.691535 824\n", "\n", "avg / total 0.944612 0.960945 0.951669 21380\n", "\n", "Classification report for turbine 18, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986455 0.996931 0.991665 20527\n", " 20.0 0.904762 0.668230 0.768712 853\n", "\n", "avg / total 0.983195 0.983817 0.982770 21380\n", "\n", "Classification report for turbine 18, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.972637 0.994022 0.983213 20240\n", " 20 0.889251 0.646154 0.748458 845\n", "\n", "avg / total 0.955921 0.966558 0.960369 21380\n", "\n", "Classification report for turbine 18, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986590 0.996395 0.991468 20527\n", " 20.0 0.915200 0.670574 0.774019 853\n", "\n", "avg / total 0.983742 0.983396 0.982793 21380\n", "\n", "Classification report for turbine 18, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.200000 0.005000 0.009756 200\n", " 11 0.250000 0.007229 0.014052 415\n", " 12 0.125000 0.005181 0.009950 386\n", " 13 0.000000 0.000000 0.000000 301\n", " 14 0.000000 0.000000 0.000000 261\n", " 15 0.000000 0.000000 0.000000 252\n", " 16 0.000000 0.000000 0.000000 252\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.111111 0.004425 0.008511 226\n", " 19 0.874177 0.992631 0.929646 18184\n", " 20 0.624214 0.609831 0.616939 651\n", "\n", "avg / total 0.772662 0.863143 0.810096 21380\n", "\n", "Classification report for turbine 18, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986225 0.994057 0.990125 20527\n", " 20.0 0.891941 0.570926 0.696212 853\n", "\n", "avg / total 0.982464 0.977175 0.978399 21380\n", "\n", "Classification report for turbine 18, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.986362 0.997126 0.991715 20527\n", " 20 0.906200 0.668230 0.769231 853\n", "\n", "avg / total 0.983164 0.984004 0.982838 21380\n", "\n", "Classification report for turbine 18, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 18\n", " 11 0.076923 0.009259 0.016529 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.090909 0.009259 0.016807 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.948002 0.991779 0.969396 19706\n", " 20 0.813456 0.671717 0.735823 792\n", "\n", "avg / total 0.904757 0.939102 0.920921 21380\n", "\n", "Classification report for turbine 18, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.986362 0.997126 0.991715 20527\n", " 20 0.906200 0.668230 0.769231 853\n", "\n", "avg / total 0.983164 0.984004 0.982838 21380\n", "\n", "Classification report for turbine 18, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.972917 0.997185 0.984901 20246\n", " 20 0.879173 0.665463 0.757534 831\n", "\n", "avg / total 0.955485 0.970159 0.962106 21380\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 18, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.963745 0.997399 0.980283 15378\n", " 20 0.992673 0.949536 0.970625 5707\n", "\n", "avg / total 0.958169 0.970861 0.964179 21380\n", "\n", "Classification report for turbine 18, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.981838 0.993808 0.987787 15666\n", " 20.0 0.993553 0.943997 0.968141 5714\n", "\n", "avg / total 0.984969 0.980496 0.982536 21380\n", "\n", "Classification report for turbine 18, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.981725 0.997830 0.989712 15666\n", " 20 0.993769 0.949072 0.970907 5714\n", "\n", "avg / total 0.984944 0.984799 0.984686 21380\n", "\n", "Classification report for turbine 18, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.125000 0.000169 0.000338 5907\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.930698 0.996563 0.962505 14837\n", " 20 0.040719 0.637931 0.076552 348\n", "\n", "avg / total 0.681072 0.702011 0.669285 21380\n", "\n", "Classification report for turbine 18, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.981579 0.996617 0.989041 15666\n", " 20.0 0.993673 0.934547 0.963203 5714\n", "\n", "avg / total 0.984812 0.980028 0.982136 21380\n", "\n", "Classification report for turbine 18, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.981593 0.997383 0.989425 15666\n", " 20.0 0.993764 0.948197 0.970446 5714\n", "\n", "avg / total 0.984846 0.984238 0.984353 21380\n", "\n", "Classification report for turbine 18, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.982678 0.995851 0.989221 15666\n", " 20.0 0.994420 0.904445 0.947301 5714\n", "\n", "avg / total 0.985816 0.971422 0.978017 21380\n", "\n", "Classification report for turbine 18, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.980919 0.997574 0.989177 15666\n", " 20.0 0.993759 0.919671 0.955281 5714\n", "\n", "avg / total 0.984351 0.976754 0.980118 21380\n", "\n", "Classification report for turbine 18, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 52\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.062500 0.013889 0.022727 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.945929 0.987609 0.966320 15092\n", " 20 0.984314 0.942403 0.962903 5660\n", "\n", "avg / total 0.928516 0.946679 0.937108 21380\n", "\n", "Classification report for turbine 18, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.977582 0.996489 0.986945 15666\n", " 20.0 0.989028 0.567903 0.721512 5714\n", "\n", "avg / total 0.980641 0.881946 0.916005 21380\n", "\n", "Classification report for turbine 18, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.981725 0.997830 0.989712 15666\n", " 20 0.993769 0.949072 0.970907 5714\n", "\n", "avg / total 0.984944 0.984799 0.984686 21380\n", "\n", "Classification report for turbine 18, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.959185 0.994798 0.976667 15379\n", " 20 0.992349 0.932001 0.961229 5706\n", "\n", "avg / total 0.954801 0.964312 0.959071 21380\n", "\n", "Classification report for turbine 18, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.981725 0.997830 0.989712 15666\n", " 20 0.993769 0.949072 0.970907 5714\n", "\n", "avg / total 0.984944 0.984799 0.984686 21380\n", "\n", "Classification report for turbine 18, turbine category 13\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.981662 0.997766 0.989648 15666\n", " 20.0 0.993768 0.948897 0.970815 5714\n", "\n", "avg / total 0.984897 0.984705 0.984615 21380\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 19, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987499 0.983712 0.985602 21120\n", " 20.0 0.737113 0.614613 0.670312 698\n", "\n", "avg / total 0.979489 0.971904 0.975515 21818\n", "\n", "Classification report for turbine 19, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987502 0.987689 0.987596 21120\n", " 20.0 0.757417 0.621777 0.682927 698\n", "\n", "avg / total 0.980141 0.975983 0.977849 21818\n", "\n", "Classification report for turbine 19, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.987573 0.993371 0.990464 21120\n", " 20 0.756098 0.621777 0.682390 698\n", "\n", "avg / total 0.980168 0.981483 0.980608 21818\n", "\n", "Classification report for turbine 19, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.987574 0.993466 0.990511 21120\n", " 20 0.758741 0.621777 0.683465 698\n", "\n", "avg / total 0.980253 0.981575 0.980688 21818\n", "\n", "Classification report for turbine 19, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987586 0.986884 0.987235 21120\n", " 20.0 0.579186 0.183381 0.278564 698\n", "\n", "avg / total 0.974520 0.961179 0.964563 21818\n", "\n", "Classification report for turbine 19, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.987573 0.993371 0.990464 21120\n", " 20 0.756098 0.621777 0.682390 698\n", "\n", "avg / total 0.980168 0.981483 0.980608 21818\n", "\n", "Classification report for turbine 19, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.961307 0.993481 0.977129 20556\n", " 20 0.726481 0.621461 0.669880 671\n", "\n", "avg / total 0.928045 0.955129 0.941212 21818\n", "\n", "Classification report for turbine 19, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.987573 0.993371 0.990464 21120\n", " 20 0.756098 0.621777 0.682390 698\n", "\n", "avg / total 0.980168 0.981483 0.980608 21818\n", "\n", "Classification report for turbine 19, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.500000 0.012821 0.025000 78\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 128\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.019737 0.027778 0.023077 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.943078 0.967481 0.955124 20173\n", " 20 0.675815 0.608964 0.640650 647\n", "\n", "avg / total 0.893899 0.912778 0.902313 21818\n", "\n", "Classification report for turbine 19, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 245\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973618 0.973244 0.973431 20818\n", " 20 0.356401 0.441113 0.394258 467\n", "\n", "avg / total 0.936622 0.938079 0.937254 21818\n", "\n", "Classification report for turbine 19, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.987573 0.993371 0.990464 21120\n", " 20 0.756098 0.621777 0.682390 698\n", "\n", "avg / total 0.980168 0.981483 0.980608 21818\n", "\n", "Classification report for turbine 19, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.019231 0.037736 52\n", " 11 0.000000 0.000000 0.000000 288\n", " 12 0.166667 0.003472 0.006803 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.000000 0.000000 0.000000 288\n", " 15 0.031250 0.006944 0.011364 288\n", " 16 0.000000 0.000000 0.000000 257\n", " 17 0.000000 0.000000 0.000000 252\n", " 18 0.000000 0.000000 0.000000 252\n", " 19 0.887151 0.988018 0.934872 18945\n", " 20 0.709622 0.666129 0.687188 620\n", "\n", "avg / total 0.795492 0.877028 0.831625 21818\n", "\n", "Classification report for turbine 19, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.987573 0.993371 0.990464 21120\n", " 20 0.756098 0.621777 0.682390 698\n", "\n", "avg / total 0.980168 0.981483 0.980608 21818\n", "\n", "Classification report for turbine 19, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.987573 0.993371 0.990464 21120\n", " 20 0.756098 0.621777 0.682390 698\n", "\n", "avg / total 0.980168 0.981483 0.980608 21818\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 19, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.142857 0.006250 0.011976 160\n", " 11 0.000000 0.000000 0.000000 198\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.923041 0.974980 0.948300 18305\n", " 20 0.740937 0.780624 0.760263 2147\n", "\n", "avg / total 0.848378 0.894857 0.870512 21818\n", "\n", "Classification report for turbine 19, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.974955 0.985249 0.980075 19321\n", " 20.0 0.885752 0.804165 0.842989 2497\n", "\n", "avg / total 0.964746 0.964525 0.964386 21818\n", "\n", "Classification report for turbine 19, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.975087 0.986543 0.980782 19321\n", " 20 0.885463 0.804966 0.843298 2497\n", "\n", "avg / total 0.964830 0.965762 0.965047 21818\n", "\n", "Classification report for turbine 19, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 330\n", " 11 0.000000 0.000000 0.000000 116\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 38\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.961533 0.987912 0.974544 19027\n", " 20 0.699868 0.786528 0.740672 2019\n", "\n", "avg / total 0.903296 0.934320 0.918419 21818\n", "\n", "Classification report for turbine 19, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.973923 0.962631 0.968244 19321\n", " 20.0 0.909337 0.538246 0.676226 2497\n", "\n", "avg / total 0.966531 0.914062 0.934824 21818\n", "\n", "Classification report for turbine 19, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 63\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960866 0.986347 0.973439 19043\n", " 20 0.854185 0.799917 0.826161 2424\n", "\n", "avg / total 0.933555 0.949766 0.941416 21818\n", "\n", "Classification report for turbine 19, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 1363\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 71\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.947789 0.988933 0.967924 18705\n", " 20 0.400790 0.673801 0.502615 1355\n", "\n", "avg / total 0.837449 0.889678 0.861035 21818\n", "\n", "Classification report for turbine 19, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.975087 0.986543 0.980782 19321\n", " 20 0.885463 0.804966 0.843298 2497\n", "\n", "avg / total 0.964830 0.965762 0.965047 21818\n", "\n", "Classification report for turbine 19, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 43\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.930122 0.982658 0.955669 18395\n", " 20 0.800000 0.815081 0.807470 2228\n", "\n", "avg / total 0.865891 0.911724 0.888192 21818\n", "\n", "Classification report for turbine 19, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.015441 0.046703 0.023208 364\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.062500 0.006944 0.012500 144\n", " 19 0.921769 0.982158 0.951006 18271\n", " 20 0.655752 0.364845 0.468839 2031\n", "\n", "avg / total 0.833628 0.857274 0.840512 21818\n", "\n", "Classification report for turbine 19, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 128\n", " 11 0.000000 0.000000 0.000000 77\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.946951 0.986306 0.966228 18768\n", " 20 0.847577 0.821871 0.834526 2341\n", "\n", "avg / total 0.905516 0.936612 0.920698 21818\n", "\n", "Classification report for turbine 19, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.935590 0.974391 0.954596 18470\n", " 20 0.873154 0.814425 0.842767 2468\n", "\n", "avg / total 0.890791 0.916995 0.903444 21818\n", "\n", "Classification report for turbine 19, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.975087 0.986543 0.980782 19321\n", " 20 0.885463 0.804966 0.843298 2497\n", "\n", "avg / total 0.964830 0.965762 0.965047 21818\n", "\n", "Classification report for turbine 19, turbine category 13\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 19 0.975087 0.986543 0.980782 19321\n", " 20 0.885463 0.804966 0.843298 2497\n", "\n", "avg / total 0.964830 0.965762 0.965047 21818\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 19, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 40\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.898615 0.991879 0.942947 15638\n", " 20 0.893757 0.618650 0.731183 5276\n", "\n", "avg / total 0.860208 0.860528 0.852668 21818\n", "\n", "Classification report for turbine 19, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.007407 0.014493 135\n", " 11 0.000000 0.000000 0.000000 124\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.887908 0.992228 0.937174 15312\n", " 20 0.948096 0.811692 0.874608 5491\n", "\n", "avg / total 0.863812 0.900678 0.877919 21818\n", "\n", "Classification report for turbine 19, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.940099 0.992343 0.965515 16195\n", " 20 0.973746 0.817891 0.889039 5623\n", "\n", "avg / total 0.948771 0.947383 0.945806 21818\n", "\n", "Classification report for turbine 19, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 10\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.901490 0.991933 0.944551 15619\n", " 20 0.969296 0.613041 0.751064 5613\n", "\n", "avg / total 0.894721 0.867816 0.869404 21818\n", "\n", "Classification report for turbine 19, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 71\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.909325 0.991780 0.948764 15693\n", " 20 0.947397 0.632055 0.758247 5528\n", "\n", "avg / total 0.894089 0.873499 0.874532 21818\n", "\n", "Classification report for turbine 19, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.940085 0.992096 0.965391 16195\n", " 20.0 0.973729 0.817357 0.888717 5623\n", "\n", "avg / total 0.948756 0.947062 0.945630 21818\n", "\n", "Classification report for turbine 19, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 32\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.908564 0.992069 0.948482 15635\n", " 20 0.971502 0.813274 0.885374 5575\n", "\n", "avg / total 0.899327 0.918737 0.905925 21818\n", "\n", "Classification report for turbine 19, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.940099 0.992343 0.965515 16195\n", " 20 0.973746 0.817891 0.889039 5623\n", "\n", "avg / total 0.948771 0.947383 0.945806 21818\n", "\n", "Classification report for turbine 19, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.004808 0.083333 0.009091 12\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 85\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.916395 0.969394 0.942150 15683\n", " 20 0.937445 0.784372 0.854104 5426\n", "\n", "avg / total 0.891854 0.891924 0.889642 21818\n", "\n", "Classification report for turbine 19, turbine category 9\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.716102 0.193585 0.304779 873\n", " 11 0.000000 0.000000 0.000000 360\n", " 12 0.000000 0.000000 0.000000 326\n", " 13 0.000000 0.000000 0.000000 324\n", " 14 0.000000 0.000000 0.000000 318\n", " 15 0.130435 0.010417 0.019293 288\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.000000 0.000000 0.000000 286\n", " 18 0.083333 0.012146 0.021201 247\n", " 19 0.798227 0.976417 0.878376 13739\n", " 20 0.868231 0.830363 0.848875 4769\n", "\n", "avg / total 0.723748 0.804382 0.751359 21818\n", "\n", "Classification report for turbine 19, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 126\n", " 11 0.000000 0.000000 0.000000 190\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.083333 0.006944 0.012821 144\n", " 19 0.878010 0.987906 0.929722 15132\n", " 20 0.930088 0.808840 0.865237 5362\n", "\n", "avg / total 0.838078 0.883995 0.857540 21818\n", "\n", "Classification report for turbine 19, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 124\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.026316 0.009259 0.013699 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.896823 0.982657 0.937780 15338\n", " 20 0.964183 0.839728 0.897662 5578\n", "\n", "avg / total 0.877098 0.905537 0.888821 21818\n", "\n", "Classification report for turbine 19, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.940099 0.992343 0.965515 16195\n", " 20 0.973746 0.817891 0.889039 5623\n", "\n", "avg / total 0.948771 0.947383 0.945806 21818\n", "\n", "Classification report for turbine 19, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.940099 0.992343 0.965515 16195\n", " 20 0.973746 0.817891 0.889039 5623\n", "\n", "avg / total 0.948771 0.947383 0.945806 21818\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 19, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.049180 0.029412 0.036810 102\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962214 0.993223 0.977473 19921\n", " 20 0.871324 0.777687 0.821847 1219\n", "\n", "avg / total 0.927464 0.950454 0.938574 21818\n", "\n", "Classification report for turbine 19, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991195 0.993369 0.992281 20511\n", " 20.0 0.940104 0.828615 0.880846 1307\n", "\n", "avg / total 0.988134 0.983500 0.985605 21818\n", "\n", "Classification report for turbine 19, turbine category 2\n", " precision recall f1-score support\n", "\n", " 15 0.000000 0.000000 0.000000 4\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.986036 0.996814 0.991395 20401\n", " 20 0.942211 0.862069 0.900360 1305\n", "\n", "avg / total 0.978353 0.983637 0.980861 21818\n", "\n", "Classification report for turbine 19, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991043 0.992541 0.991791 20511\n", " 20.0 0.942177 0.847743 0.892469 1307\n", "\n", "avg / total 0.988115 0.983867 0.985841 21818\n", "\n", "Classification report for turbine 19, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.094444 0.092391 0.093407 184\n", " 11 0.000000 0.000000 0.000000 121\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 75\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.968660 0.995108 0.981706 20034\n", " 20 0.535785 0.680556 0.599555 792\n", "\n", "avg / total 0.909701 0.939224 0.923987 21818\n", "\n", "Classification report for turbine 19, turbine category 5\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991175 0.996636 0.993898 20511\n", " 20.0 0.943001 0.860750 0.900000 1307\n", "\n", "avg / total 0.988289 0.988496 0.988273 21818\n", "\n", "Classification report for turbine 19, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 21\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.985072 0.994209 0.989619 20376\n", " 20 0.813043 0.825243 0.819098 1133\n", "\n", "avg / total 0.962187 0.971354 0.966748 21818\n", "\n", "Classification report for turbine 19, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.991224 0.996685 0.993947 20511\n", " 20 0.943049 0.861515 0.900440 1307\n", "\n", "avg / total 0.988338 0.988587 0.988345 21818\n", "\n", "Classification report for turbine 19, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.375000 0.007246 0.014218 414\n", " 11 0.000000 0.000000 0.000000 252\n", " 12 0.125000 0.019841 0.034247 252\n", " 13 0.116279 0.019841 0.033898 252\n", " 14 0.000000 0.000000 0.000000 230\n", " 15 0.000000 0.000000 0.000000 216\n", " 16 0.000000 0.000000 0.000000 216\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 215\n", " 19 0.900732 0.989805 0.943170 18637\n", " 20 0.655923 0.820261 0.728945 918\n", "\n", "avg / total 0.806909 0.880603 0.837386 21818\n", "\n", "Classification report for turbine 19, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991355 0.984009 0.987668 20511\n", " 20.0 0.957256 0.736802 0.832685 1307\n", "\n", "avg / total 0.989313 0.969200 0.978384 21818\n", "\n", "Classification report for turbine 19, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990928 0.990542 0.990735 20511\n", " 20.0 0.945899 0.829380 0.883816 1307\n", "\n", "avg / total 0.988231 0.980887 0.984330 21818\n", "\n", "Classification report for turbine 19, turbine category 11\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.142857 0.033333 0.054054 30\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.040000 0.005556 0.009756 180\n", " 15 0.000000 0.000000 0.000000 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 180\n", " 19 0.924760 0.992261 0.957322 19125\n", " 20 0.875937 0.860180 0.867987 1223\n", "\n", "avg / total 0.860243 0.918095 0.887969 21818\n", "\n", "Classification report for turbine 19, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.991224 0.996685 0.993947 20511\n", " 20 0.943049 0.861515 0.900440 1307\n", "\n", "avg / total 0.988338 0.988587 0.988345 21818\n", "\n", "Classification report for turbine 19, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.979005 0.996643 0.987746 20259\n", " 20 0.909548 0.864650 0.886531 1256\n", "\n", "avg / total 0.961411 0.975204 0.968201 21818\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 19, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980528 0.996757 0.988576 20966\n", " 20 0.889362 0.750449 0.814021 557\n", "\n", "avg / total 0.964943 0.976991 0.970753 21818\n", "\n", "Classification report for turbine 19, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.066667 0.111111 15\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.967787 0.996422 0.981896 20684\n", " 20 0.862423 0.773481 0.815534 543\n", "\n", "avg / total 0.939179 0.963929 0.951235 21818\n", "\n", "Classification report for turbine 19, turbine category 2\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 17\n", " 11.0 0.000000 0.000000 0.000000 36\n", " 12.0 0.000000 0.000000 0.000000 36\n", " 13.0 0.000000 0.000000 0.000000 36\n", " 14.0 0.000000 0.000000 0.000000 36\n", " 15.0 0.000000 0.000000 0.000000 32\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986023 0.997391 0.991674 21078\n", " 20.0 0.867617 0.778793 0.820809 547\n", "\n", "avg / total 0.974332 0.983087 0.978618 21818\n", "\n", "Classification report for turbine 19, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993846 0.995389 0.994617 21255\n", " 20.0 0.903158 0.761989 0.826590 563\n", "\n", "avg / total 0.991506 0.989367 0.990281 21818\n", "\n", "Classification report for turbine 19, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.086957 0.137931 46\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980697 0.993229 0.986923 20972\n", " 20 0.805497 0.744141 0.773604 512\n", "\n", "avg / total 0.962275 0.972362 0.967100 21818\n", "\n", "Classification report for turbine 19, turbine category 5\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994139 0.997506 0.995820 21255\n", " 20.0 0.899384 0.777975 0.834286 563\n", "\n", "avg / total 0.991694 0.991842 0.991652 21818\n", "\n", "Classification report for turbine 19, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.959596 0.195072 0.324232 487\n", " 11 0.000000 0.000000 0.000000 379\n", " 12 0.000000 0.000000 0.000000 360\n", " 13 0.000000 0.000000 0.000000 360\n", " 14 0.000000 0.000000 0.000000 360\n", " 15 0.000000 0.000000 0.000000 360\n", " 16 0.000000 0.000000 0.000000 360\n", " 17 0.000000 0.000000 0.000000 360\n", " 18 0.000000 0.000000 0.000000 360\n", " 19 0.851409 0.997626 0.918736 18115\n", " 20 0.470954 0.716088 0.568210 317\n", "\n", "avg / total 0.735167 0.843065 0.778299 21818\n", "\n", "Classification report for turbine 19, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.994140 0.997695 0.995914 21255\n", " 20 0.899384 0.777975 0.834286 563\n", "\n", "avg / total 0.991695 0.992025 0.991743 21818\n", "\n", "Classification report for turbine 19, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.981374 0.984884 0.983126 20971\n", " 20 0.878788 0.731532 0.798427 555\n", "\n", "avg / total 0.965630 0.965258 0.965270 21818\n", "\n", "Classification report for turbine 19, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.981188 0.989702 0.985427 20975\n", " 20 0.860674 0.696364 0.769849 550\n", "\n", "avg / total 0.964974 0.969016 0.966759 21818\n", "\n", "Classification report for turbine 19, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994275 0.996895 0.995583 21255\n", " 20.0 0.898551 0.770870 0.829828 563\n", "\n", "avg / total 0.991805 0.991062 0.991306 21818\n", "\n", "Classification report for turbine 19, turbine category 11\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 24\n", " 11 0.250000 0.006944 0.013514 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.000000 0.000000 0.000000 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.105263 0.013889 0.024540 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.941420 0.993040 0.966542 20116\n", " 20 0.824847 0.769962 0.796460 526\n", "\n", "avg / total 0.890212 0.934274 0.910595 21818\n", "\n", "Classification report for turbine 19, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.994140 0.997695 0.995914 21255\n", " 20 0.899384 0.777975 0.834286 563\n", "\n", "avg / total 0.991695 0.992025 0.991743 21818\n", "\n", "Classification report for turbine 19, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.980728 0.997567 0.989076 20966\n", " 20 0.894628 0.775986 0.831094 558\n", "\n", "avg / total 0.965310 0.978458 0.971708 21818\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 20, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.974627 0.991541 0.983011 20687\n", " 20.0 0.902397 0.493908 0.638401 1067\n", "\n", "avg / total 0.971084 0.967132 0.966108 21754\n", "\n", "Classification report for turbine 20, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.496403 0.543307 0.518797 127\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 144\n", " 13 0.076923 0.006944 0.012739 144\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.923077 0.989672 0.955215 19558\n", " 20 0.795720 0.446020 0.571628 917\n", "\n", "avg / total 0.866844 0.911786 0.885998 21754\n", "\n", "Classification report for turbine 20, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.974275 0.997776 0.985886 20687\n", " 20 0.919014 0.489222 0.638532 1067\n", "\n", "avg / total 0.971565 0.972833 0.968849 21754\n", "\n", "Classification report for turbine 20, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 15\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960587 0.997745 0.978813 20397\n", " 20 0.896127 0.482922 0.627620 1054\n", "\n", "avg / total 0.944085 0.958904 0.948164 21754\n", "\n", "Classification report for turbine 20, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.961477 0.997600 0.979205 20415\n", " 20 0.890845 0.487007 0.629745 1039\n", "\n", "avg / total 0.944844 0.959456 0.949011 21754\n", "\n", "Classification report for turbine 20, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.974275 0.997776 0.985886 20687\n", " 20 0.919014 0.489222 0.638532 1067\n", "\n", "avg / total 0.971565 0.972833 0.968849 21754\n", "\n", "Classification report for turbine 20, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.176471 0.030612 0.052174 98\n", " 11 0.000000 0.000000 0.000000 89\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 70\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.951031 0.992860 0.971495 20167\n", " 20 0.852632 0.501031 0.631169 970\n", "\n", "avg / total 0.920464 0.942907 0.929001 21754\n", "\n", "Classification report for turbine 20, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.974275 0.997776 0.985886 20687\n", " 20 0.919014 0.489222 0.638532 1067\n", "\n", "avg / total 0.971565 0.972833 0.968849 21754\n", "\n", "Classification report for turbine 20, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 33\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.014706 0.027778 0.019231 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.055556 0.027778 0.037037 36\n", " 19 0.959897 0.985813 0.972682 20371\n", " 20 0.895683 0.468927 0.615575 1062\n", "\n", "avg / total 0.942714 0.946125 0.940989 21754\n", "\n", "Classification report for turbine 20, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.098039 0.026316 0.041494 190\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.934105 0.996975 0.964517 19835\n", " 20 0.753876 0.449711 0.563360 865\n", "\n", "avg / total 0.882537 0.927140 0.902196 21754\n", "\n", "Classification report for turbine 20, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.974275 0.997776 0.985886 20687\n", " 20 0.919014 0.489222 0.638532 1067\n", "\n", "avg / total 0.971565 0.972833 0.968849 21754\n", "\n", "Classification report for turbine 20, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 52\n", " 11 0.045455 0.003472 0.006452 288\n", " 12 0.000000 0.000000 0.000000 288\n", " 13 0.000000 0.000000 0.000000 288\n", " 14 0.083333 0.003472 0.006667 288\n", " 15 0.055556 0.003472 0.006536 288\n", " 16 0.000000 0.000000 0.000000 288\n", " 17 0.071429 0.003472 0.006623 288\n", " 18 0.017544 0.006944 0.009950 288\n", " 19 0.876696 0.991035 0.930366 18517\n", " 20 0.782972 0.532350 0.633784 881\n", "\n", "avg / total 0.781571 0.865404 0.818074 21754\n", "\n", "Classification report for turbine 20, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.974275 0.997776 0.985886 20687\n", " 20 0.919014 0.489222 0.638532 1067\n", "\n", "avg / total 0.971565 0.972833 0.968849 21754\n", "\n", "Classification report for turbine 20, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.974275 0.997776 0.985886 20687\n", " 20 0.919014 0.489222 0.638532 1067\n", "\n", "avg / total 0.971565 0.972833 0.968849 21754\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 20, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.006944 0.090909 0.012903 11\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.938365 0.985699 0.961450 16712\n", " 20 0.946317 0.799072 0.866484 4743\n", "\n", "avg / total 0.927205 0.931507 0.927536 21754\n", "\n", "Classification report for turbine 20, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.119403 0.115942 0.117647 69\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.938876 0.979543 0.958779 16669\n", " 20 0.946801 0.835660 0.887765 4728\n", "\n", "avg / total 0.925570 0.932564 0.927984 21754\n", "\n", "Classification report for turbine 20, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.953665 0.988057 0.970557 16998\n", " 20 0.951002 0.828427 0.885493 4756\n", "\n", "avg / total 0.953083 0.953158 0.951960 21754\n", "\n", "Classification report for turbine 20, turbine category 3\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.953590 0.987587 0.970291 16998\n", " 20.0 0.950760 0.828217 0.885268 4756\n", "\n", "avg / total 0.952971 0.952744 0.951703 21754\n", "\n", "Classification report for turbine 20, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 48\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.937425 0.987133 0.961637 16709\n", " 20 0.939672 0.826927 0.879702 4709\n", "\n", "avg / total 0.923433 0.937207 0.929048 21754\n", "\n", "Classification report for turbine 20, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.953665 0.988057 0.970557 16998\n", " 20 0.951002 0.828427 0.885493 4756\n", "\n", "avg / total 0.953083 0.953158 0.951960 21754\n", "\n", "Classification report for turbine 20, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 602\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.945069 0.981305 0.962846 16796\n", " 20 0.788512 0.806539 0.797424 4068\n", "\n", "avg / total 0.877128 0.908477 0.892520 21754\n", "\n", "Classification report for turbine 20, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.953665 0.988057 0.970557 16998\n", " 20 0.951002 0.828427 0.885493 4756\n", "\n", "avg / total 0.953083 0.953158 0.951960 21754\n", "\n", "Classification report for turbine 20, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.027027 0.009174 0.013699 109\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 65\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.953614 0.984508 0.968815 16977\n", " 20 0.843047 0.821588 0.832180 4243\n", "\n", "avg / total 0.908776 0.928611 0.918452 21754\n", "\n", "Classification report for turbine 20, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.956729 0.554413 0.702016 3988\n", " 11 0.000000 0.000000 0.000000 532\n", " 12 0.000000 0.000000 0.000000 401\n", " 13 0.000000 0.000000 0.000000 344\n", " 14 0.000000 0.000000 0.000000 288\n", " 15 0.000000 0.000000 0.000000 288\n", " 16 0.000000 0.000000 0.000000 239\n", " 17 0.000000 0.000000 0.000000 216\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.824333 0.994438 0.901431 14383\n", " 20 0.290166 0.693830 0.409200 859\n", "\n", "avg / total 0.731868 0.786522 0.740849 21754\n", "\n", "Classification report for turbine 20, turbine category 10\n", " precision recall f1-score support\n", "\n", " 19 0.953665 0.988057 0.970557 16998\n", " 20 0.951002 0.828427 0.885493 4756\n", "\n", "avg / total 0.953083 0.953158 0.951960 21754\n", "\n", "Classification report for turbine 20, turbine category 11\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.250000 0.083333 0.125000 12\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.047619 0.013889 0.021505 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.006061 0.013889 0.008439 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.044776 0.041667 0.043165 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.037037 0.013889 0.020202 72\n", " 19 0.932939 0.958118 0.945361 16451\n", " 20 0.945832 0.859173 0.900422 4715\n", "\n", "avg / total 0.911103 0.911097 0.910446 21754\n", "\n", "Classification report for turbine 20, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.953665 0.988057 0.970557 16998\n", " 20 0.951002 0.828427 0.885493 4756\n", "\n", "avg / total 0.953083 0.953158 0.951960 21754\n", "\n", "Classification report for turbine 20, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.953665 0.988057 0.970557 16998\n", " 20 0.951002 0.828427 0.885493 4756\n", "\n", "avg / total 0.953083 0.953158 0.951960 21754\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 20, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 59\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 102\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.940886 0.991406 0.965486 15942\n", " 20 0.939106 0.927843 0.933441 5003\n", "\n", "avg / total 0.905486 0.939919 0.922211 21754\n", "\n", "Classification report for turbine 20, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.066667 0.054545 0.060000 55\n", " 11 0.000000 0.000000 0.000000 271\n", " 12 0.000000 0.000000 0.000000 252\n", " 13 0.000000 0.000000 0.000000 250\n", " 14 0.027778 0.005814 0.009615 172\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 142\n", " 19 0.908652 0.978127 0.942111 15407\n", " 20 0.893247 0.925623 0.909147 4773\n", "\n", "avg / total 0.839915 0.896019 0.866940 21754\n", "\n", "Classification report for turbine 20, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.976983 0.991849 0.984360 16562\n", " 20 0.972672 0.925462 0.948480 5192\n", "\n", "avg / total 0.975954 0.976004 0.975797 21754\n", "\n", "Classification report for turbine 20, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.977031 0.991366 0.984146 16562\n", " 20.0 0.972667 0.925270 0.948376 5192\n", "\n", "avg / total 0.975989 0.975591 0.975609 21754\n", "\n", "Classification report for turbine 20, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976056 0.990331 0.983141 16547\n", " 20 0.917257 0.922482 0.919862 4915\n", "\n", "avg / total 0.949670 0.961708 0.955648 21754\n", "\n", "Classification report for turbine 20, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.976983 0.991849 0.984360 16562\n", " 20 0.972672 0.925462 0.948480 5192\n", "\n", "avg / total 0.975954 0.976004 0.975797 21754\n", "\n", "Classification report for turbine 20, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.005291 0.083333 0.009950 12\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 101\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.948548 0.988295 0.968013 16061\n", " 20 0.934124 0.894161 0.913706 4932\n", "\n", "avg / total 0.912099 0.932426 0.921843 21754\n", "\n", "Classification report for turbine 20, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 316\n", " 11 0.000000 0.000000 0.000000 255\n", " 12 0.000000 0.000000 0.000000 214\n", " 13 0.000000 0.000000 0.000000 162\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 134\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 99\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.921435 0.991615 0.955238 15624\n", " 20 0.865182 0.923908 0.893581 4626\n", "\n", "avg / total 0.845767 0.908660 0.876084 21754\n", "\n", "Classification report for turbine 20, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.346154 0.024172 0.045188 1117\n", " 11 0.000000 0.000000 0.000000 258\n", " 12 0.000000 0.000000 0.000000 216\n", " 13 0.000000 0.000000 0.000000 202\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.005882 0.011111 0.007692 180\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 173\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.894000 0.987560 0.938454 15193\n", " 20 0.722990 0.749425 0.735970 3911\n", "\n", "avg / total 0.772174 0.825779 0.790115 21754\n", "\n", "Classification report for turbine 20, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.113872 0.845878 0.200723 558\n", " 11 0.000000 0.000000 0.000000 147\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.051282 0.018519 0.027211 108\n", " 16 0.038462 0.009259 0.014925 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.945729 0.947332 0.946530 15930\n", " 20 0.797438 0.228283 0.354954 4363\n", "\n", "avg / total 0.855839 0.761331 0.769672 21754\n", "\n", "Classification report for turbine 20, turbine category 10\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.960509 0.991771 0.975890 16284\n", " 20 0.970850 0.926584 0.948201 5176\n", "\n", "avg / total 0.949989 0.962857 0.956113 21754\n", "\n", "Classification report for turbine 20, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.076923 0.076923 0.076923 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.945709 0.983511 0.964240 16011\n", " 20 0.965963 0.914047 0.939288 5154\n", "\n", "avg / total 0.924948 0.940471 0.932267 21754\n", "\n", "Classification report for turbine 20, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.976983 0.991849 0.984360 16562\n", " 20 0.972672 0.925462 0.948480 5192\n", "\n", "avg / total 0.975954 0.976004 0.975797 21754\n", "\n", "Classification report for turbine 20, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.976983 0.991849 0.984360 16562\n", " 20 0.972672 0.925462 0.948480 5192\n", "\n", "avg / total 0.975954 0.976004 0.975797 21754\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 20, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.950735 0.996254 0.972962 19487\n", " 20 0.959511 0.637240 0.765854 1971\n", "\n", "avg / total 0.938593 0.950170 0.940958 21754\n", "\n", "Classification report for turbine 20, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.959620 0.991907 0.975496 19646\n", " 20 0.876524 0.634308 0.736000 1813\n", "\n", "avg / total 0.939681 0.948653 0.942308 21754\n", "\n", "Classification report for turbine 20, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.963137 0.997371 0.979955 19778\n", " 20 0.959152 0.617915 0.751616 1976\n", "\n", "avg / total 0.962775 0.962903 0.959214 21754\n", "\n", "Classification report for turbine 20, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 35\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 30\n", " 19 0.950632 0.997285 0.973400 19521\n", " 20 0.933229 0.613953 0.740648 1935\n", "\n", "avg / total 0.936062 0.949527 0.939363 21754\n", "\n", "Classification report for turbine 20, turbine category 4\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.965912 0.997169 0.981292 19778\n", " 20.0 0.961625 0.646761 0.773374 1976\n", "\n", "avg / total 0.965523 0.965340 0.962406 21754\n", "\n", "Classification report for turbine 20, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.963137 0.997371 0.979955 19778\n", " 20 0.959152 0.617915 0.751616 1976\n", "\n", "avg / total 0.962775 0.962903 0.959214 21754\n", "\n", "Classification report for turbine 20, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.076923 0.045455 0.057143 22\n", " 11 0.000000 0.000000 0.000000 123\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 83\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 79\n", " 19 0.931389 0.995606 0.962427 19116\n", " 20 0.911164 0.610321 0.731000 1899\n", "\n", "avg / total 0.898061 0.928197 0.909588 21754\n", "\n", "Classification report for turbine 20, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 89\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 45\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.949257 0.996817 0.972456 19480\n", " 20 0.862903 0.577754 0.692109 1852\n", "\n", "avg / total 0.923491 0.941804 0.929724 21754\n", "\n", "Classification report for turbine 20, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.963618 0.992315 0.977756 19778\n", " 20.0 0.959317 0.596660 0.735725 1976\n", "\n", "avg / total 0.963227 0.956376 0.955771 21754\n", "\n", "Classification report for turbine 20, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.967737 0.993376 0.980389 19778\n", " 20.0 0.958454 0.502024 0.658917 1976\n", "\n", "avg / total 0.966894 0.948745 0.951189 21754\n", "\n", "Classification report for turbine 20, turbine category 10\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.963318 0.995854 0.979316 19778\n", " 20.0 0.958496 0.619433 0.752536 1976\n", "\n", "avg / total 0.962880 0.961662 0.958717 21754\n", "\n", "Classification report for turbine 20, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.927697 0.992214 0.958871 19009\n", " 20 0.901578 0.643432 0.750939 1865\n", "\n", "avg / total 0.887930 0.922175 0.902256 21754\n", "\n", "Classification report for turbine 20, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.963137 0.997371 0.979955 19778\n", " 20 0.959152 0.617915 0.751616 1976\n", "\n", "avg / total 0.962775 0.962903 0.959214 21754\n", "\n", "Classification report for turbine 20, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.949758 0.997436 0.973014 19502\n", " 20 0.937942 0.613251 0.741615 1947\n", "\n", "avg / total 0.935385 0.949067 0.938661 21754\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 20, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.949851 0.992775 0.970839 15778\n", " 20 0.934936 0.862372 0.897189 5682\n", "\n", "avg / total 0.933119 0.945297 0.938481 21754\n", "\n", "Classification report for turbine 20, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.368421 0.131250 0.193548 160\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.250000 0.009259 0.017857 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.914272 0.991762 0.951442 15173\n", " 20 0.910560 0.851899 0.880253 5557\n", "\n", "avg / total 0.874238 0.910361 0.889983 21754\n", "\n", "Classification report for turbine 20, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.944478 0.994175 0.968689 15793\n", " 20 0.982066 0.845160 0.908484 5961\n", "\n", "avg / total 0.954778 0.953342 0.952192 21754\n", "\n", "Classification report for turbine 20, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 634\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.926238 0.993931 0.958891 15489\n", " 20 0.863158 0.828748 0.845603 5343\n", "\n", "avg / total 0.871488 0.911235 0.890426 21754\n", "\n", "Classification report for turbine 20, turbine category 4\n", " precision recall f1-score support\n", "\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.944645 0.994111 0.968747 15793\n", " 20.0 0.982073 0.845496 0.908681 5961\n", "\n", "avg / total 0.954901 0.953388 0.952288 21754\n", "\n", "Classification report for turbine 20, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.944478 0.994175 0.968689 15793\n", " 20 0.982066 0.845160 0.908484 5961\n", "\n", "avg / total 0.954778 0.953342 0.952192 21754\n", "\n", "Classification report for turbine 20, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.908067 0.993148 0.948703 15177\n", " 20 0.943102 0.848974 0.893566 5701\n", "\n", "avg / total 0.880682 0.915372 0.896051 21754\n", "\n", "Classification report for turbine 20, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 81\n", " 11 0.000000 0.000000 0.000000 180\n", " 12 0.000000 0.000000 0.000000 180\n", " 13 0.000000 0.000000 0.000000 178\n", " 14 0.000000 0.000000 0.000000 144\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 144\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 144\n", " 19 0.885547 0.992875 0.936144 14736\n", " 20 0.938881 0.860187 0.897813 5679\n", "\n", "avg / total 0.844963 0.897122 0.868516 21754\n", "\n", "Classification report for turbine 20, turbine category 8\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.960414 0.992402 0.976146 15793\n", " 20.0 0.981118 0.889113 0.932852 5961\n", "\n", "avg / total 0.966087 0.964099 0.964283 21754\n", "\n", "Classification report for turbine 20, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.053633 0.352273 0.093093 88\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.930571 0.992279 0.960435 15412\n", " 20 0.943244 0.784431 0.856538 5678\n", "\n", "avg / total 0.905692 0.909166 0.904378 21754\n", "\n", "Classification report for turbine 20, turbine category 10\n", " precision recall f1-score support\n", "\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.947200 0.993921 0.969998 15793\n", " 20.0 0.981664 0.853213 0.912942 5961\n", "\n", "avg / total 0.956644 0.955365 0.954364 21754\n", "\n", "Classification report for turbine 20, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.100000 0.052632 0.068966 19\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 108\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.889895 0.991968 0.938163 15065\n", " 20 0.953275 0.804685 0.872700 5806\n", "\n", "avg / total 0.870777 0.901765 0.882671 21754\n", "\n", "Classification report for turbine 20, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.944478 0.994175 0.968689 15793\n", " 20 0.982066 0.845160 0.908484 5961\n", "\n", "avg / total 0.954778 0.953342 0.952192 21754\n", "\n", "Classification report for turbine 20, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.946866 0.992972 0.969371 15793\n", " 20.0 0.982208 0.852038 0.912504 5961\n", "\n", "avg / total 0.956551 0.954353 0.953789 21754\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 21, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 30\n", " 12 0.000000 0.000000 0.000000 31\n", " 13 0.000000 0.000000 0.000000 27\n", " 14 0.000000 0.000000 0.000000 27\n", " 15 0.000000 0.000000 0.000000 28\n", " 16 0.000000 0.000000 0.000000 27\n", " 17 0.000000 0.000000 0.000000 25\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.973936 0.988951 0.981386 15114\n", " 20 0.768919 0.765814 0.767363 743\n", "\n", "avg / total 0.950543 0.964506 0.957470 16087\n", "\n", "Classification report for turbine 21, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.988467 0.989111 0.988789 15337\n", " 20 0.774324 0.764000 0.769128 750\n", "\n", "avg / total 0.978483 0.978616 0.978548 16087\n", "\n", "Classification report for turbine 21, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.988467 0.989111 0.988789 15337\n", " 20 0.774324 0.764000 0.769128 750\n", "\n", "avg / total 0.978483 0.978616 0.978548 16087\n", "\n", "Classification report for turbine 21, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988189 0.981939 0.985054 15337\n", " 20.0 0.720126 0.610667 0.660895 750\n", "\n", "avg / total 0.975691 0.964630 0.969941 16087\n", "\n", "Classification report for turbine 21, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988439 0.986699 0.987568 15337\n", " 20.0 0.767635 0.740000 0.753564 750\n", "\n", "avg / total 0.978145 0.975197 0.976658 16087\n", "\n", "Classification report for turbine 21, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.988467 0.989111 0.988789 15337\n", " 20 0.774324 0.764000 0.769128 750\n", "\n", "avg / total 0.978483 0.978616 0.978548 16087\n", "\n", "Classification report for turbine 21, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989103 0.982461 0.985771 15337\n", " 20.0 0.769022 0.754667 0.761777 750\n", "\n", "avg / total 0.978843 0.971841 0.975328 16087\n", "\n", "Classification report for turbine 21, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.988467 0.989111 0.988789 15337\n", " 20 0.774324 0.764000 0.769128 750\n", "\n", "avg / total 0.978483 0.978616 0.978548 16087\n", "\n", "Classification report for turbine 21, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.415808 0.707602 0.523810 171\n", " 11 0.000000 0.000000 0.000000 88\n", " 12 0.005155 0.012821 0.007353 78\n", " 13 0.006410 0.012195 0.008403 82\n", " 14 0.000000 0.000000 0.000000 74\n", " 15 0.029851 0.025316 0.027397 79\n", " 16 0.000000 0.000000 0.000000 76\n", " 17 0.000000 0.000000 0.000000 78\n", " 18 0.000000 0.000000 0.000000 82\n", " 19 0.953509 0.932513 0.942894 14714\n", " 20 0.523422 0.454867 0.486742 565\n", "\n", "avg / total 0.895136 0.876671 0.885296 16087\n", "\n", "Classification report for turbine 21, turbine category 9\n", " precision recall f1-score support\n", "\n", " 19 0.988467 0.989111 0.988789 15337\n", " 20 0.774324 0.764000 0.769128 750\n", "\n", "avg / total 0.978483 0.978616 0.978548 16087\n", "\n", "Classification report for turbine 21, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 73\n", " 11 0.000000 0.000000 0.000000 52\n", " 12 0.000000 0.000000 0.000000 58\n", " 13 0.000000 0.000000 0.000000 60\n", " 14 0.000000 0.000000 0.000000 54\n", " 15 0.000000 0.000000 0.000000 64\n", " 16 0.000000 0.000000 0.000000 56\n", " 17 0.000000 0.000000 0.000000 54\n", " 18 0.000000 0.000000 0.000000 55\n", " 19 0.959210 0.988916 0.973837 14886\n", " 20 0.720270 0.789630 0.753357 675\n", "\n", "avg / total 0.917821 0.948219 0.932744 16087\n", "\n", "Classification report for turbine 21, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.375000 0.176471 0.240000 17\n", " 11 0.000000 0.000000 0.000000 101\n", " 12 0.000000 0.000000 0.000000 103\n", " 13 0.010870 0.009709 0.010256 103\n", " 14 0.000000 0.000000 0.000000 116\n", " 15 0.000000 0.000000 0.000000 105\n", " 16 0.000000 0.000000 0.000000 106\n", " 17 0.039474 0.027523 0.032432 109\n", " 18 0.000000 0.000000 0.000000 112\n", " 19 0.937652 0.955373 0.946430 14498\n", " 20 0.743375 0.743375 0.743375 717\n", "\n", "avg / total 0.878901 0.894573 0.886617 16087\n", "\n", "Classification report for turbine 21, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.988467 0.989111 0.988789 15337\n", " 20 0.774324 0.764000 0.769128 750\n", "\n", "avg / total 0.978483 0.978616 0.978548 16087\n", "\n", "Classification report for turbine 21, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.988467 0.989111 0.988789 15337\n", " 20 0.774324 0.764000 0.769128 750\n", "\n", "avg / total 0.978483 0.978616 0.978548 16087\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 21, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990717 0.992139 0.991428 14630\n", " 20.0 0.920557 0.906658 0.913555 1457\n", "\n", "avg / total 0.984363 0.984397 0.984375 16087\n", "\n", "Classification report for turbine 21, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.990651 0.992276 0.991463 14630\n", " 20 0.921144 0.905971 0.913495 1457\n", "\n", "avg / total 0.984356 0.984460 0.984401 16087\n", "\n", "Classification report for turbine 21, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.990651 0.992276 0.991463 14630\n", " 20 0.921144 0.905971 0.913495 1457\n", "\n", "avg / total 0.984356 0.984460 0.984401 16087\n", "\n", "Classification report for turbine 21, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 24\n", " 11 0.000000 0.000000 0.000000 30\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 28\n", " 14 0.000000 0.000000 0.000000 28\n", " 15 0.000000 0.000000 0.000000 29\n", " 16 0.000000 0.000000 0.000000 29\n", " 17 0.000000 0.000000 0.000000 27\n", " 18 0.000000 0.000000 0.000000 28\n", " 19 0.990031 0.991792 0.990911 14620\n", " 20 0.708231 0.719371 0.713758 1208\n", "\n", "avg / total 0.952931 0.955368 0.954145 16087\n", "\n", "Classification report for turbine 21, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990713 0.991661 0.991187 14630\n", " 20.0 0.918637 0.906658 0.912608 1457\n", "\n", "avg / total 0.984185 0.983962 0.984070 16087\n", "\n", "Classification report for turbine 21, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.990651 0.992276 0.991463 14630\n", " 20 0.921144 0.905971 0.913495 1457\n", "\n", "avg / total 0.984356 0.984460 0.984401 16087\n", "\n", "Classification report for turbine 21, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 23\n", " 11 0.000000 0.000000 0.000000 102\n", " 12 0.000000 0.000000 0.000000 96\n", " 13 0.000000 0.000000 0.000000 89\n", " 14 0.000000 0.000000 0.000000 95\n", " 15 0.333333 0.011765 0.022727 85\n", " 16 0.000000 0.000000 0.000000 86\n", " 17 0.000000 0.000000 0.000000 83\n", " 18 0.000000 0.000000 0.000000 81\n", " 19 0.965920 0.991378 0.978483 14266\n", " 20 0.667132 0.884366 0.760541 1081\n", "\n", "avg / total 0.903171 0.938646 0.918948 16087\n", "\n", "Classification report for turbine 21, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.990651 0.992276 0.991463 14630\n", " 20 0.921144 0.905971 0.913495 1457\n", "\n", "avg / total 0.984356 0.984460 0.984401 16087\n", "\n", "Classification report for turbine 21, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 29\n", " 12 0.000000 0.000000 0.000000 30\n", " 13 0.000000 0.000000 0.000000 28\n", " 14 0.000000 0.000000 0.000000 30\n", " 15 0.000000 0.000000 0.000000 26\n", " 16 0.000000 0.000000 0.000000 24\n", " 17 0.000000 0.000000 0.000000 23\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.976356 0.965517 0.970906 14413\n", " 20 0.871983 0.573103 0.691635 1450\n", "\n", "avg / total 0.953353 0.916703 0.932215 16087\n", "\n", "Classification report for turbine 21, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 546\n", " 11 0.000000 0.000000 0.000000 146\n", " 12 0.000000 0.000000 0.000000 147\n", " 13 0.000000 0.000000 0.000000 113\n", " 14 0.000000 0.000000 0.000000 112\n", " 15 0.000000 0.000000 0.000000 103\n", " 16 0.000000 0.000000 0.000000 107\n", " 17 0.000000 0.000000 0.000000 102\n", " 18 0.000000 0.000000 0.000000 103\n", " 19 0.927733 0.992046 0.958812 13704\n", " 20 0.550593 0.872788 0.675225 904\n", "\n", "avg / total 0.821246 0.894138 0.854725 16087\n", "\n", "Classification report for turbine 21, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.088235 0.324324 0.138728 37\n", " 11 0.000000 0.000000 0.000000 77\n", " 12 0.000000 0.000000 0.000000 63\n", " 13 0.000000 0.000000 0.000000 50\n", " 14 0.000000 0.000000 0.000000 56\n", " 15 0.000000 0.000000 0.000000 48\n", " 16 0.000000 0.000000 0.000000 58\n", " 17 0.000000 0.000000 0.000000 55\n", " 18 0.000000 0.000000 0.000000 54\n", " 19 0.961129 0.986466 0.973633 14187\n", " 20 0.905856 0.871612 0.888404 1402\n", "\n", "avg / total 0.926762 0.946665 0.936384 16087\n", "\n", "Classification report for turbine 21, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 54\n", " 12 0.000000 0.000000 0.000000 46\n", " 13 0.000000 0.000000 0.000000 46\n", " 14 0.000000 0.000000 0.000000 57\n", " 15 0.166667 0.018182 0.032787 55\n", " 16 0.000000 0.000000 0.000000 47\n", " 17 0.000000 0.000000 0.000000 51\n", " 18 0.000000 0.000000 0.000000 67\n", " 19 0.963156 0.984819 0.973867 14228\n", " 20 0.905099 0.894958 0.900000 1428\n", "\n", "avg / total 0.932768 0.950519 0.941331 16087\n", "\n", "Classification report for turbine 21, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.990651 0.992276 0.991463 14630\n", " 20 0.921144 0.905971 0.913495 1457\n", "\n", "avg / total 0.984356 0.984460 0.984401 16087\n", "\n", "Classification report for turbine 21, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.990651 0.992276 0.991463 14630\n", " 20 0.921144 0.905971 0.913495 1457\n", "\n", "avg / total 0.984356 0.984460 0.984401 16087\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 21, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.954360 0.997057 0.975241 13590\n", " 20.0 0.979343 0.740489 0.843330 2497\n", "\n", "avg / total 0.958238 0.957233 0.954766 16087\n", "\n", "Classification report for turbine 21, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 108\n", " 11 0.000000 0.000000 0.000000 30\n", " 12 0.000000 0.000000 0.000000 30\n", " 13 0.000000 0.000000 0.000000 26\n", " 14 0.000000 0.000000 0.000000 20\n", " 15 0.000000 0.000000 0.000000 27\n", " 16 0.000000 0.000000 0.000000 27\n", " 17 0.000000 0.000000 0.000000 27\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.937808 0.997005 0.966501 13355\n", " 20 0.937004 0.734135 0.823256 2411\n", "\n", "avg / total 0.918975 0.937714 0.925747 16087\n", "\n", "Classification report for turbine 21, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.954360 0.997057 0.975241 13590\n", " 20 0.978825 0.740489 0.843137 2497\n", "\n", "avg / total 0.958157 0.957233 0.954736 16087\n", "\n", "Classification report for turbine 21, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.400000 0.363636 0.380952 11\n", " 11 0.000000 0.000000 0.000000 62\n", " 12 0.000000 0.000000 0.000000 52\n", " 13 0.000000 0.000000 0.000000 55\n", " 14 0.000000 0.000000 0.000000 49\n", " 15 0.000000 0.000000 0.000000 53\n", " 16 0.000000 0.000000 0.000000 54\n", " 17 0.000000 0.000000 0.000000 56\n", " 18 0.000000 0.000000 0.000000 51\n", " 19 0.924350 0.996658 0.959143 13167\n", " 20 0.969116 0.734760 0.835821 2477\n", "\n", "avg / total 0.906062 0.929135 0.914003 16087\n", "\n", "Classification report for turbine 21, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2\n", " 11 0.000000 0.000000 0.000000 31\n", " 12 0.000000 0.000000 0.000000 29\n", " 13 0.000000 0.000000 0.000000 25\n", " 14 0.000000 0.000000 0.000000 28\n", " 15 0.000000 0.000000 0.000000 31\n", " 16 0.000000 0.000000 0.000000 30\n", " 17 0.000000 0.000000 0.000000 26\n", " 18 0.000000 0.000000 0.000000 20\n", " 19 0.944773 0.996878 0.970127 13454\n", " 20 0.937004 0.734135 0.823256 2411\n", "\n", "avg / total 0.930571 0.943743 0.934727 16087\n", "\n", "Classification report for turbine 21, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.954360 0.997057 0.975241 13590\n", " 20 0.978825 0.740489 0.843137 2497\n", "\n", "avg / total 0.958157 0.957233 0.954736 16087\n", "\n", "Classification report for turbine 21, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 27\n", " 12 0.000000 0.000000 0.000000 28\n", " 13 0.000000 0.000000 0.000000 31\n", " 14 0.000000 0.000000 0.000000 28\n", " 15 0.000000 0.000000 0.000000 28\n", " 16 0.000000 0.000000 0.000000 29\n", " 17 0.000000 0.000000 0.000000 29\n", " 18 0.000000 0.000000 0.000000 22\n", " 19 0.938632 0.996186 0.966553 13373\n", " 20 0.968617 0.735460 0.836088 2476\n", "\n", "avg / total 0.929360 0.941319 0.932173 16087\n", "\n", "Classification report for turbine 21, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.954360 0.997057 0.975241 13590\n", " 20 0.978825 0.740489 0.843137 2497\n", "\n", "avg / total 0.958157 0.957233 0.954736 16087\n", "\n", "Classification report for turbine 21, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 42\n", " 12 0.000000 0.000000 0.000000 59\n", " 13 0.000000 0.000000 0.000000 57\n", " 14 0.000000 0.000000 0.000000 51\n", " 15 0.000000 0.000000 0.000000 61\n", " 16 0.000000 0.000000 0.000000 56\n", " 17 0.000000 0.000000 0.000000 55\n", " 18 0.000000 0.000000 0.000000 57\n", " 19 0.929318 0.969931 0.949190 13203\n", " 20 0.945902 0.708845 0.810393 2442\n", "\n", "avg / total 0.906302 0.903649 0.902041 16087\n", "\n", "Classification report for turbine 21, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.953411 0.995364 0.973936 13590\n", " 20.0 0.976705 0.705246 0.819070 2497\n", "\n", "avg / total 0.957027 0.950333 0.949898 16087\n", "\n", "Classification report for turbine 21, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 29\n", " 12 0.000000 0.000000 0.000000 24\n", " 13 0.000000 0.000000 0.000000 26\n", " 14 0.000000 0.000000 0.000000 32\n", " 15 0.000000 0.000000 0.000000 26\n", " 16 0.333333 0.037037 0.066667 27\n", " 17 0.000000 0.000000 0.000000 34\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.939208 0.995361 0.966469 13364\n", " 20 0.970495 0.742742 0.841480 2480\n", "\n", "avg / total 0.930404 0.941443 0.932714 16087\n", "\n", "Classification report for turbine 21, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.117647 0.105263 0.111111 19\n", " 11 0.000000 0.000000 0.000000 101\n", " 12 0.000000 0.000000 0.000000 115\n", " 13 0.000000 0.000000 0.000000 110\n", " 14 0.000000 0.000000 0.000000 116\n", " 15 0.000000 0.000000 0.000000 111\n", " 16 0.000000 0.000000 0.000000 106\n", " 17 0.111111 0.009434 0.017391 106\n", " 18 0.000000 0.000000 0.000000 87\n", " 19 0.897516 0.992077 0.942430 12747\n", " 20 0.970975 0.718104 0.825611 2469\n", "\n", "avg / total 0.861067 0.896500 0.873721 16087\n", "\n", "Classification report for turbine 21, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.954360 0.997057 0.975241 13590\n", " 20 0.978825 0.740489 0.843137 2497\n", "\n", "avg / total 0.958157 0.957233 0.954736 16087\n", "\n", "Classification report for turbine 21, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.954360 0.997057 0.975241 13590\n", " 20 0.978825 0.740489 0.843137 2497\n", "\n", "avg / total 0.958157 0.957233 0.954736 16087\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 21, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993781 0.997241 0.995508 15223\n", " 20.0 0.949383 0.890046 0.918757 864\n", "\n", "avg / total 0.991397 0.991484 0.991386 16087\n", "\n", "Classification report for turbine 21, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993777 0.996584 0.995179 15223\n", " 20.0 0.948020 0.886574 0.916268 864\n", "\n", "avg / total 0.991319 0.990676 0.990940 16087\n", "\n", "Classification report for turbine 21, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.993782 0.997307 0.995541 15223\n", " 20 0.949383 0.890046 0.918757 864\n", "\n", "avg / total 0.991397 0.991546 0.991417 16087\n", "\n", "Classification report for turbine 21, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 57\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.033333 0.009259 0.014493 108\n", " 14 0.000000 0.000000 0.000000 106\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 105\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 106\n", " 19 0.938287 0.995200 0.965906 14376\n", " 20 0.861429 0.756587 0.805611 797\n", "\n", "avg / total 0.881393 0.926897 0.903183 16087\n", "\n", "Classification report for turbine 21, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993780 0.997044 0.995409 15223\n", " 20.0 0.947631 0.879630 0.912365 864\n", "\n", "avg / total 0.991301 0.990738 0.990949 16087\n", "\n", "Classification report for turbine 21, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.993782 0.997307 0.995541 15223\n", " 20 0.949383 0.890046 0.918757 864\n", "\n", "avg / total 0.991397 0.991546 0.991417 16087\n", "\n", "Classification report for turbine 21, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 115\n", " 11 0.000000 0.000000 0.000000 35\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 34\n", " 14 0.000000 0.000000 0.000000 35\n", " 15 0.000000 0.000000 0.000000 34\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974913 0.996652 0.985663 14934\n", " 20 0.819868 0.818783 0.819325 756\n", "\n", "avg / total 0.943568 0.963697 0.953521 16087\n", "\n", "Classification report for turbine 21, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 113\n", " 11 0.000000 0.000000 0.000000 26\n", " 12 0.000000 0.000000 0.000000 33\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.977221 0.997261 0.987139 14970\n", " 20 0.790123 0.877915 0.831709 729\n", "\n", "avg / total 0.945173 0.967800 0.956287 16087\n", "\n", "Classification report for turbine 21, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.283333 0.097701 0.145299 174\n", " 11.0 0.769231 0.254237 0.382166 118\n", " 12.0 0.000000 0.000000 0.000000 52\n", " 13.0 0.000000 0.000000 0.000000 51\n", " 14.0 0.000000 0.000000 0.000000 28\n", " 15.0 0.000000 0.000000 0.000000 9\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.979624 0.993666 0.986595 14999\n", " 20.0 0.729730 0.782012 0.754967 656\n", "\n", "avg / total 0.951834 0.961273 0.955031 16087\n", "\n", "Classification report for turbine 21, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 45\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974957 0.995848 0.985292 14934\n", " 20 0.880231 0.743902 0.806345 820\n", "\n", "avg / total 0.949947 0.962392 0.955775 16087\n", "\n", "Classification report for turbine 21, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994036 0.996387 0.995210 15223\n", " 20.0 0.948941 0.881944 0.914217 864\n", "\n", "avg / total 0.991614 0.990241 0.990860 16087\n", "\n", "Classification report for turbine 21, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 115\n", " 12 0.000000 0.000000 0.000000 118\n", " 13 0.166667 0.008403 0.016000 119\n", " 14 0.000000 0.000000 0.000000 107\n", " 15 0.055556 0.009009 0.015504 111\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 116\n", " 18 0.000000 0.000000 0.000000 119\n", " 19 0.936961 0.991289 0.963359 14349\n", " 20 0.886700 0.896638 0.891641 803\n", "\n", "avg / total 0.881611 0.929073 0.904013 16087\n", "\n", "Classification report for turbine 21, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.993782 0.997307 0.995541 15223\n", " 20 0.949383 0.890046 0.918757 864\n", "\n", "avg / total 0.991397 0.991546 0.991417 16087\n", "\n", "Classification report for turbine 21, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 25\n", " 12 0.000000 0.000000 0.000000 32\n", " 13 0.000000 0.000000 0.000000 27\n", " 14 0.000000 0.000000 0.000000 32\n", " 15 0.000000 0.000000 0.000000 26\n", " 16 0.000000 0.000000 0.000000 21\n", " 17 0.000000 0.000000 0.000000 26\n", " 18 0.000000 0.000000 0.000000 25\n", " 19 0.980232 0.997336 0.988710 15015\n", " 20 0.934568 0.891637 0.912598 849\n", "\n", "avg / total 0.964234 0.977932 0.970987 16087\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 21, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.992433 0.998131 0.995274 14979\n", " 20 0.972603 0.897112 0.933333 1108\n", "\n", "avg / total 0.991067 0.991173 0.991007 16087\n", "\n", "Classification report for turbine 21, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992431 0.997930 0.995173 14979\n", " 20.0 0.972549 0.895307 0.932331 1108\n", "\n", "avg / total 0.991062 0.990862 0.990845 16087\n", "\n", "Classification report for turbine 21, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.992433 0.998131 0.995274 14979\n", " 20 0.972603 0.897112 0.933333 1108\n", "\n", "avg / total 0.991067 0.991173 0.991007 16087\n", "\n", "Classification report for turbine 21, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.013889 0.200000 0.025974 5\n", " 11 0.000000 0.000000 0.000000 20\n", " 12 0.000000 0.000000 0.000000 23\n", " 13 0.000000 0.000000 0.000000 33\n", " 14 0.000000 0.000000 0.000000 35\n", " 15 0.000000 0.000000 0.000000 34\n", " 16 0.000000 0.000000 0.000000 33\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.987542 0.994432 0.990975 14907\n", " 20 0.806210 0.814054 0.810113 925\n", "\n", "avg / total 0.961466 0.968360 0.964876 16087\n", "\n", "Classification report for turbine 21, turbine category 4\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992366 0.998064 0.995207 14979\n", " 20.0 0.972549 0.895307 0.932331 1108\n", "\n", "avg / total 0.991001 0.990987 0.990876 16087\n", "\n", "Classification report for turbine 21, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.992433 0.998131 0.995274 14979\n", " 20 0.972603 0.897112 0.933333 1108\n", "\n", "avg / total 0.991067 0.991173 0.991007 16087\n", "\n", "Classification report for turbine 21, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.029412 0.005650 0.009479 177\n", " 11 0.000000 0.000000 0.000000 201\n", " 12 0.000000 0.000000 0.000000 176\n", " 13 0.000000 0.000000 0.000000 163\n", " 14 0.000000 0.000000 0.000000 140\n", " 15 0.000000 0.000000 0.000000 144\n", " 16 0.000000 0.000000 0.000000 143\n", " 17 0.000000 0.000000 0.000000 140\n", " 18 0.000000 0.000000 0.000000 135\n", " 19 0.911334 0.995929 0.951756 13757\n", " 20 0.806256 0.877058 0.840168 911\n", "\n", "avg / total 0.825321 0.901411 0.861589 16087\n", "\n", "Classification report for turbine 21, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992365 0.997930 0.995140 14979\n", " 20.0 0.971916 0.874549 0.920665 1108\n", "\n", "avg / total 0.990957 0.989432 0.990011 16087\n", "\n", "Classification report for turbine 21, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 8\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.051282 0.027778 0.036036 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 71\n", " 17 0.000000 0.000000 0.000000 71\n", " 18 0.000000 0.000000 0.000000 71\n", " 19 0.955229 0.996253 0.975310 14413\n", " 20 0.949541 0.757548 0.842748 1093\n", "\n", "avg / total 0.920573 0.944179 0.931240 16087\n", "\n", "Classification report for turbine 21, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.178571 0.010870 0.020492 460\n", " 11 0.000000 0.000000 0.000000 144\n", " 12 0.000000 0.000000 0.000000 138\n", " 13 0.000000 0.000000 0.000000 109\n", " 14 0.000000 0.000000 0.000000 107\n", " 15 0.000000 0.000000 0.000000 103\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 107\n", " 18 0.000000 0.000000 0.000000 94\n", " 19 0.936811 0.997241 0.966082 14138\n", " 20 0.495450 0.846287 0.625000 579\n", "\n", "avg / total 0.846251 0.907192 0.872118 16087\n", "\n", "Classification report for turbine 21, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 23\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973287 0.997073 0.985036 14690\n", " 20 0.948919 0.889503 0.918251 1086\n", "\n", "avg / total 0.952826 0.970535 0.961485 16087\n", "\n", "Classification report for turbine 21, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 35\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.974395 0.994285 0.984239 14697\n", " 20 0.962818 0.897810 0.929178 1096\n", "\n", "avg / total 0.955798 0.969541 0.962500 16087\n", "\n", "Classification report for turbine 21, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.992433 0.998131 0.995274 14979\n", " 20 0.972603 0.897112 0.933333 1108\n", "\n", "avg / total 0.991067 0.991173 0.991007 16087\n", "\n", "Classification report for turbine 21, turbine category 13\n", " precision recall f1-score support\n", "\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992432 0.998064 0.995240 14979\n", " 20.0 0.972603 0.897112 0.933333 1108\n", "\n", "avg / total 0.991067 0.991111 0.990976 16087\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 22, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 14\n", " 11 0.000000 0.000000 0.000000 86\n", " 12 0.000000 0.000000 0.000000 90\n", " 13 0.000000 0.000000 0.000000 77\n", " 14 0.000000 0.000000 0.000000 87\n", " 15 0.000000 0.000000 0.000000 92\n", " 16 0.000000 0.000000 0.000000 90\n", " 17 0.000000 0.000000 0.000000 88\n", " 18 0.000000 0.000000 0.000000 94\n", " 19 0.949882 0.989864 0.969461 14207\n", " 20 0.843288 0.902639 0.871955 1705\n", "\n", "avg / total 0.897942 0.938184 0.917608 16630\n", "\n", "Classification report for turbine 22, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987949 0.986947 0.987448 14786\n", " 20.0 0.918042 0.874729 0.895862 1844\n", "\n", "avg / total 0.980198 0.974504 0.977293 16630\n", "\n", "Classification report for turbine 22, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.988382 0.989652 0.989017 14786\n", " 20 0.916164 0.906725 0.911420 1844\n", "\n", "avg / total 0.980374 0.980457 0.980413 16630\n", "\n", "Classification report for turbine 22, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990289 0.965576 0.977776 14786\n", " 20.0 0.906289 0.781453 0.839255 1844\n", "\n", "avg / total 0.980975 0.945159 0.962416 16630\n", "\n", "Classification report for turbine 22, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 126\n", " 11 0.000000 0.000000 0.000000 33\n", " 12 0.000000 0.000000 0.000000 29\n", " 13 0.000000 0.000000 0.000000 29\n", " 14 0.000000 0.000000 0.000000 30\n", " 15 0.000000 0.000000 0.000000 32\n", " 16 0.000000 0.000000 0.000000 28\n", " 17 0.000000 0.000000 0.000000 27\n", " 18 0.000000 0.000000 0.000000 33\n", " 19 0.979734 0.989426 0.984556 14658\n", " 20 0.787829 0.895327 0.838145 1605\n", "\n", "avg / total 0.939591 0.958509 0.948698 16630\n", "\n", "Classification report for turbine 22, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.988382 0.989652 0.989017 14786\n", " 20 0.916164 0.906725 0.911420 1844\n", "\n", "avg / total 0.980374 0.980457 0.980413 16630\n", "\n", "Classification report for turbine 22, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.739623 0.670085 0.703139 585\n", " 11 0.000000 0.000000 0.000000 146\n", " 12 0.000000 0.000000 0.000000 131\n", " 13 0.000000 0.000000 0.000000 101\n", " 14 0.000000 0.000000 0.000000 121\n", " 15 0.000000 0.000000 0.000000 120\n", " 16 0.000000 0.000000 0.000000 119\n", " 17 0.000000 0.000000 0.000000 117\n", " 18 0.000000 0.000000 0.000000 99\n", " 19 0.933419 0.935294 0.934356 13940\n", " 20 0.692308 0.781929 0.734394 1151\n", "\n", "avg / total 0.856367 0.861696 0.858782 16630\n", "\n", "Classification report for turbine 22, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.988382 0.989652 0.989017 14786\n", " 20 0.916164 0.906725 0.911420 1844\n", "\n", "avg / total 0.980374 0.980457 0.980413 16630\n", "\n", "Classification report for turbine 22, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.231092 0.254630 0.242291 432\n", " 11 0.003731 0.004167 0.003937 240\n", " 12 0.008065 0.005102 0.006250 196\n", " 13 0.048000 0.033149 0.039216 181\n", " 14 0.000000 0.000000 0.000000 157\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 120\n", " 17 0.000000 0.000000 0.000000 115\n", " 18 0.000000 0.000000 0.000000 105\n", " 19 0.920812 0.870928 0.895175 13752\n", " 20 0.645205 0.769608 0.701937 1224\n", "\n", "avg / total 0.815618 0.783945 0.798771 16630\n", "\n", "Classification report for turbine 22, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.064978 0.415493 0.112381 142\n", " 11 0.255814 0.068750 0.108374 160\n", " 12 0.121951 0.033784 0.052910 148\n", " 13 0.017241 0.007353 0.010309 136\n", " 14 0.013072 0.016260 0.014493 123\n", " 15 0.000000 0.000000 0.000000 111\n", " 16 0.023256 0.008850 0.012821 113\n", " 17 0.000000 0.000000 0.000000 117\n", " 18 0.000000 0.000000 0.000000 115\n", " 19 0.940687 0.955718 0.948143 13956\n", " 20 0.763352 0.549370 0.638921 1509\n", "\n", "avg / total 0.863194 0.856645 0.856415 16630\n", "\n", "Classification report for turbine 22, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 101\n", " 11 0.000000 0.000000 0.000000 84\n", " 12 0.000000 0.000000 0.000000 60\n", " 13 0.000000 0.000000 0.000000 58\n", " 14 0.000000 0.000000 0.000000 62\n", " 15 0.000000 0.000000 0.000000 58\n", " 16 0.000000 0.000000 0.000000 66\n", " 17 0.000000 0.000000 0.000000 55\n", " 18 0.000000 0.000000 0.000000 57\n", " 19 0.953439 0.983454 0.968214 14263\n", " 20 0.874655 0.896942 0.885658 1766\n", "\n", "avg / total 0.910616 0.938725 0.924456 16630\n", "\n", "Classification report for turbine 22, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 20\n", " 11 0.000000 0.000000 0.000000 112\n", " 12 0.000000 0.000000 0.000000 101\n", " 13 0.000000 0.000000 0.000000 119\n", " 14 0.000000 0.000000 0.000000 119\n", " 15 0.000000 0.000000 0.000000 106\n", " 16 0.000000 0.000000 0.000000 115\n", " 17 0.000000 0.000000 0.000000 118\n", " 18 0.000000 0.000000 0.000000 115\n", " 19 0.936146 0.987429 0.961104 14001\n", " 20 0.848219 0.908451 0.877302 1704\n", "\n", "avg / total 0.875066 0.924414 0.899058 16630\n", "\n", "Classification report for turbine 22, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.988382 0.989652 0.989017 14786\n", " 20 0.916164 0.906725 0.911420 1844\n", "\n", "avg / total 0.980374 0.980457 0.980413 16630\n", "\n", "Classification report for turbine 22, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.988382 0.989652 0.989017 14786\n", " 20 0.916164 0.906725 0.911420 1844\n", "\n", "avg / total 0.980374 0.980457 0.980413 16630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 22, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991461 0.989977 0.990718 15364\n", " 20.0 0.914447 0.894945 0.904591 1266\n", "\n", "avg / total 0.985598 0.982742 0.984161 16630\n", "\n", "Classification report for turbine 22, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 2\n", " 11 0.000000 0.000000 0.000000 30\n", " 12 0.000000 0.000000 0.000000 28\n", " 13 0.000000 0.000000 0.000000 26\n", " 14 0.000000 0.000000 0.000000 28\n", " 15 0.000000 0.000000 0.000000 27\n", " 16 0.000000 0.000000 0.000000 29\n", " 17 0.000000 0.000000 0.000000 29\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.979522 0.992556 0.985996 15180\n", " 20 0.884647 0.870204 0.877366 1225\n", "\n", "avg / total 0.959280 0.970114 0.964654 16630\n", "\n", "Classification report for turbine 22, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.991426 0.993426 0.992425 15364\n", " 20 0.918219 0.895735 0.906837 1266\n", "\n", "avg / total 0.985853 0.985989 0.985909 16630\n", "\n", "Classification report for turbine 22, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 25\n", " 12 0.000000 0.000000 0.000000 25\n", " 13 0.000000 0.000000 0.000000 22\n", " 14 0.000000 0.000000 0.000000 24\n", " 15 0.000000 0.000000 0.000000 30\n", " 16 0.000000 0.000000 0.000000 34\n", " 17 0.000000 0.000000 0.000000 28\n", " 18 0.000000 0.000000 0.000000 30\n", " 19 0.977376 0.989832 0.983565 15145\n", " 20 0.912860 0.854992 0.882979 1262\n", "\n", "avg / total 0.959374 0.966326 0.962742 16630\n", "\n", "Classification report for turbine 22, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 17\n", " 11 0.000000 0.000000 0.000000 20\n", " 12 0.000000 0.000000 0.000000 29\n", " 13 0.000000 0.000000 0.000000 32\n", " 14 0.000000 0.000000 0.000000 27\n", " 15 0.000000 0.000000 0.000000 28\n", " 16 0.000000 0.000000 0.000000 30\n", " 17 0.000000 0.000000 0.000000 27\n", " 18 0.000000 0.000000 0.000000 29\n", " 19 0.977044 0.991945 0.984438 15146\n", " 20 0.879418 0.679518 0.766652 1245\n", "\n", "avg / total 0.955693 0.954299 0.953985 16630\n", "\n", "Classification report for turbine 22, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.991426 0.993426 0.992425 15364\n", " 20 0.918219 0.895735 0.906837 1266\n", "\n", "avg / total 0.985853 0.985989 0.985909 16630\n", "\n", "Classification report for turbine 22, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 31\n", " 12.0 0.000000 0.000000 0.000000 27\n", " 13.0 0.000000 0.000000 0.000000 33\n", " 14.0 0.000000 0.000000 0.000000 32\n", " 15.0 0.000000 0.000000 0.000000 25\n", " 16.0 0.000000 0.000000 0.000000 30\n", " 17.0 0.000000 0.000000 0.000000 25\n", " 18.0 0.000000 0.000000 0.000000 26\n", " 19.0 0.983256 0.977113 0.980175 15205\n", " 20.0 0.897220 0.890468 0.893831 1196\n", "\n", "avg / total 0.963529 0.957426 0.960468 16630\n", "\n", "Classification report for turbine 22, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.991426 0.993426 0.992425 15364\n", " 20 0.918219 0.895735 0.906837 1266\n", "\n", "avg / total 0.985853 0.985989 0.985909 16630\n", "\n", "Classification report for turbine 22, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991203 0.982752 0.986960 15364\n", " 20.0 0.871148 0.491311 0.628283 1266\n", "\n", "avg / total 0.982064 0.945340 0.959654 16630\n", "\n", "Classification report for turbine 22, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.301829 0.317308 0.309375 312\n", " 11 0.016260 0.005618 0.008351 356\n", " 12 0.000000 0.000000 0.000000 265\n", " 13 0.000000 0.000000 0.000000 190\n", " 14 0.000000 0.000000 0.000000 129\n", " 15 0.000000 0.000000 0.000000 112\n", " 16 0.000000 0.000000 0.000000 112\n", " 17 0.000000 0.000000 0.000000 119\n", " 18 0.000000 0.000000 0.000000 112\n", " 19 0.894273 0.952433 0.922437 13854\n", " 20 0.818589 0.683817 0.745158 1069\n", "\n", "avg / total 0.803625 0.843476 0.822340 16630\n", "\n", "Classification report for turbine 22, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.111111 0.003802 0.007353 263\n", " 11 0.000000 0.000000 0.000000 246\n", " 12 0.000000 0.000000 0.000000 243\n", " 13 0.000000 0.000000 0.000000 234\n", " 14 0.000000 0.000000 0.000000 258\n", " 15 0.000000 0.000000 0.000000 243\n", " 16 0.000000 0.000000 0.000000 247\n", " 17 0.000000 0.000000 0.000000 229\n", " 18 0.000000 0.000000 0.000000 230\n", " 19 0.868354 0.989518 0.924985 13452\n", " 20 0.708029 0.886294 0.787196 985\n", "\n", "avg / total 0.746105 0.852977 0.794962 16630\n", "\n", "Classification report for turbine 22, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 30\n", " 12 0.000000 0.000000 0.000000 29\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 28\n", " 15 0.000000 0.000000 0.000000 30\n", " 16 0.000000 0.000000 0.000000 27\n", " 17 0.000000 0.000000 0.000000 24\n", " 18 0.000000 0.000000 0.000000 27\n", " 19 0.977185 0.984413 0.980786 15141\n", " 20 0.912833 0.899046 0.905887 1258\n", "\n", "avg / total 0.958743 0.964281 0.961496 16630\n", "\n", "Classification report for turbine 22, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.991426 0.993426 0.992425 15364\n", " 20 0.918219 0.895735 0.906837 1266\n", "\n", "avg / total 0.985853 0.985989 0.985909 16630\n", "\n", "Classification report for turbine 22, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.991426 0.993426 0.992425 15364\n", " 20 0.918219 0.895735 0.906837 1266\n", "\n", "avg / total 0.985853 0.985989 0.985909 16630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 22, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.987328 0.992660 0.989987 14442\n", " 20.0 0.965551 0.896709 0.929858 2188\n", "\n", "avg / total 0.984463 0.980036 0.982076 16630\n", "\n", "Classification report for turbine 22, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985457 0.994668 0.990041 14442\n", " 20.0 0.968122 0.902194 0.933996 2188\n", "\n", "avg / total 0.983176 0.982502 0.982667 16630\n", "\n", "Classification report for turbine 22, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.985469 0.995568 0.990493 14442\n", " 20 0.968627 0.903108 0.934721 2188\n", "\n", "avg / total 0.983254 0.983403 0.983155 16630\n", "\n", "Classification report for turbine 22, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 3\n", " 11 0.000000 0.000000 0.000000 23\n", " 12 0.000000 0.000000 0.000000 31\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 29\n", " 15 0.000000 0.000000 0.000000 32\n", " 16 0.000000 0.000000 0.000000 34\n", " 17 0.000000 0.000000 0.000000 31\n", " 18 0.000000 0.000000 0.000000 34\n", " 19 0.968888 0.991407 0.980018 14198\n", " 20 0.967855 0.881922 0.922893 2185\n", "\n", "avg / total 0.954361 0.962297 0.957957 16630\n", "\n", "Classification report for turbine 22, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985391 0.994807 0.990076 14442\n", " 20.0 0.968597 0.902194 0.934217 2188\n", "\n", "avg / total 0.983181 0.982622 0.982727 16630\n", "\n", "Classification report for turbine 22, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 97\n", " 11 0.000000 0.000000 0.000000 84\n", " 12 0.000000 0.000000 0.000000 60\n", " 13 0.000000 0.000000 0.000000 39\n", " 14 0.000000 0.000000 0.000000 33\n", " 15 0.000000 0.000000 0.000000 34\n", " 16 0.000000 0.000000 0.000000 32\n", " 17 0.000000 0.000000 0.000000 33\n", " 18 0.000000 0.000000 0.000000 29\n", " 19 0.961892 0.995814 0.978559 14093\n", " 20 0.925980 0.901240 0.913443 2096\n", "\n", "avg / total 0.931858 0.957486 0.944402 16630\n", "\n", "Classification report for turbine 22, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985638 0.993145 0.989377 14442\n", " 20.0 0.965851 0.866088 0.913253 2188\n", "\n", "avg / total 0.983034 0.976428 0.979362 16630\n", "\n", "Classification report for turbine 22, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.985469 0.995568 0.990493 14442\n", " 20 0.968627 0.903108 0.934721 2188\n", "\n", "avg / total 0.983254 0.983403 0.983155 16630\n", "\n", "Classification report for turbine 22, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.985063 0.972649 0.978817 14442\n", " 20.0 0.966065 0.806673 0.879203 2188\n", "\n", "avg / total 0.982563 0.950812 0.965711 16630\n", "\n", "Classification report for turbine 22, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.066667 0.750000 0.122449 52\n", " 11 0.000000 0.000000 0.000000 54\n", " 12 0.000000 0.000000 0.000000 54\n", " 13 0.052632 0.016129 0.024691 62\n", " 14 0.071429 0.017857 0.028571 56\n", " 15 0.000000 0.000000 0.000000 55\n", " 16 0.000000 0.000000 0.000000 56\n", " 17 0.000000 0.000000 0.000000 64\n", " 18 0.000000 0.000000 0.000000 57\n", " 19 0.955162 0.981779 0.968288 13995\n", " 20 0.959016 0.660706 0.782391 2125\n", "\n", "avg / total 0.927007 0.913109 0.915410 16630\n", "\n", "Classification report for turbine 22, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 10\n", " 11 0.000000 0.000000 0.000000 24\n", " 12 0.000000 0.000000 0.000000 30\n", " 13 0.000000 0.000000 0.000000 27\n", " 14 0.000000 0.000000 0.000000 29\n", " 15 0.000000 0.000000 0.000000 42\n", " 16 0.000000 0.000000 0.000000 52\n", " 17 0.000000 0.000000 0.000000 50\n", " 18 0.000000 0.000000 0.000000 52\n", " 19 0.964253 0.980829 0.972471 14136\n", " 20 0.958525 0.859504 0.906318 2178\n", "\n", "avg / total 0.945181 0.946302 0.945328 16630\n", "\n", "Classification report for turbine 22, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 83\n", " 12 0.000000 0.000000 0.000000 86\n", " 13 0.000000 0.000000 0.000000 88\n", " 14 0.000000 0.000000 0.000000 87\n", " 15 0.000000 0.000000 0.000000 80\n", " 16 0.000000 0.000000 0.000000 83\n", " 17 0.000000 0.000000 0.000000 86\n", " 18 0.000000 0.000000 0.000000 90\n", " 19 0.942963 0.993053 0.967360 13818\n", " 20 0.937012 0.906900 0.921710 2116\n", "\n", "avg / total 0.902741 0.940529 0.921065 16630\n", "\n", "Classification report for turbine 22, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.985469 0.995568 0.990493 14442\n", " 20 0.968627 0.903108 0.934721 2188\n", "\n", "avg / total 0.983254 0.983403 0.983155 16630\n", "\n", "Classification report for turbine 22, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.985469 0.995568 0.990493 14442\n", " 20 0.968627 0.903108 0.934721 2188\n", "\n", "avg / total 0.983254 0.983403 0.983155 16630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 22, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993241 0.996609 0.994922 15925\n", " 20.0 0.931250 0.845390 0.886245 705\n", "\n", "avg / total 0.990613 0.990198 0.990315 16630\n", "\n", "Classification report for turbine 22, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994301 0.996986 0.995642 15925\n", " 20.0 0.930197 0.869504 0.898827 705\n", "\n", "avg / total 0.991584 0.991581 0.991537 16630\n", "\n", "Classification report for turbine 22, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.994116 0.997300 0.995705 15925\n", " 20 0.934251 0.866667 0.899191 705\n", "\n", "avg / total 0.991578 0.991762 0.991614 16630\n", "\n", "Classification report for turbine 22, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 39\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975850 0.994629 0.985150 15641\n", " 20 0.870704 0.803625 0.835821 662\n", "\n", "avg / total 0.952476 0.967468 0.959835 16630\n", "\n", "Classification report for turbine 22, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 35\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 35\n", " 17 0.500000 0.028571 0.054054 35\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976746 0.995910 0.986235 15647\n", " 20 0.918462 0.862717 0.889717 692\n", "\n", "avg / total 0.958281 0.973001 0.965074 16630\n", "\n", "Classification report for turbine 22, turbine category 5\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994425 0.996923 0.995673 15925\n", " 20.0 0.931921 0.873759 0.901903 705\n", "\n", "avg / total 0.991776 0.991702 0.991697 16630\n", "\n", "Classification report for turbine 22, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993423 0.995856 0.994638 15925\n", " 20.0 0.921818 0.719149 0.807968 705\n", "\n", "avg / total 0.990387 0.984125 0.986724 16630\n", "\n", "Classification report for turbine 22, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.994116 0.997300 0.995705 15925\n", " 20 0.934251 0.866667 0.899191 705\n", "\n", "avg / total 0.991578 0.991762 0.991614 16630\n", "\n", "Classification report for turbine 22, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.111111 0.008097 0.015094 247\n", " 11 0.000000 0.000000 0.000000 57\n", " 12 0.166667 0.018868 0.033898 53\n", " 13 0.000000 0.000000 0.000000 55\n", " 14 0.000000 0.000000 0.000000 46\n", " 15 0.000000 0.000000 0.000000 45\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 20\n", " 18 0.000000 0.000000 0.000000 28\n", " 19 0.978538 0.994705 0.986555 15676\n", " 20 0.461538 0.784741 0.581231 367\n", "\n", "avg / total 0.934770 0.955141 0.943120 16630\n", "\n", "Classification report for turbine 22, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.300000 0.156716 0.205882 134\n", " 11 0.000000 0.000000 0.000000 30\n", " 12 0.000000 0.000000 0.000000 30\n", " 13 0.000000 0.000000 0.000000 28\n", " 14 0.000000 0.000000 0.000000 28\n", " 15 0.000000 0.000000 0.000000 24\n", " 16 0.000000 0.000000 0.000000 22\n", " 17 0.000000 0.000000 0.000000 21\n", " 18 0.000000 0.000000 0.000000 27\n", " 19 0.980874 0.988863 0.984852 15714\n", " 20 0.752560 0.770979 0.761658 572\n", "\n", "avg / total 0.955148 0.962177 0.958462 16630\n", "\n", "Classification report for turbine 22, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.122807 0.162791 0.140000 43\n", " 11 0.000000 0.000000 0.000000 68\n", " 12 0.000000 0.000000 0.000000 70\n", " 13 0.000000 0.000000 0.000000 64\n", " 14 0.000000 0.000000 0.000000 69\n", " 15 0.000000 0.000000 0.000000 43\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.025000 0.027778 0.026316 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967020 0.989802 0.978278 15493\n", " 20 0.906303 0.791667 0.845115 672\n", "\n", "avg / total 0.937899 0.954600 0.945962 16630\n", "\n", "Classification report for turbine 22, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.052632 0.100000 19\n", " 11 0.000000 0.000000 0.000000 86\n", " 12 0.000000 0.000000 0.000000 89\n", " 13 0.000000 0.000000 0.000000 90\n", " 14 0.000000 0.000000 0.000000 89\n", " 15 0.000000 0.000000 0.000000 82\n", " 16 0.000000 0.000000 0.000000 97\n", " 17 0.000000 0.000000 0.000000 86\n", " 18 0.000000 0.000000 0.000000 98\n", " 19 0.949479 0.994871 0.971645 15207\n", " 20 0.909228 0.874818 0.891691 687\n", "\n", "avg / total 0.906937 0.945941 0.925454 16630\n", "\n", "Classification report for turbine 22, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.994116 0.997300 0.995705 15925\n", " 20 0.934251 0.866667 0.899191 705\n", "\n", "avg / total 0.991578 0.991762 0.991614 16630\n", "\n", "Classification report for turbine 22, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 28\n", " 12 0.000000 0.000000 0.000000 32\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 29\n", " 15 0.000000 0.000000 0.000000 27\n", " 16 0.000000 0.000000 0.000000 17\n", " 17 0.000000 0.000000 0.000000 17\n", " 18 0.000000 0.000000 0.000000 20\n", " 19 0.981660 0.997266 0.989401 15726\n", " 20 0.922018 0.867626 0.893996 695\n", "\n", "avg / total 0.966830 0.979314 0.972980 16630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 22, turbine category 0\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.995987 0.996602 0.996295 16188\n", " 20.0 0.886792 0.850679 0.868360 442\n", "\n", "avg / total 0.993085 0.992724 0.992894 16630\n", "\n", "Classification report for turbine 22, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 35\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 35\n", " 18 0.000000 0.000000 0.000000 35\n", " 19 0.981481 0.996803 0.989083 15951\n", " 20 0.767606 0.838462 0.801471 390\n", "\n", "avg / total 0.959409 0.975767 0.967494 16630\n", "\n", "Classification report for turbine 22, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.995989 0.997097 0.996543 16188\n", " 20 0.889151 0.852941 0.870670 442\n", "\n", "avg / total 0.993150 0.993265 0.993197 16630\n", "\n", "Classification report for turbine 22, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996225 0.994502 0.995363 16188\n", " 20.0 0.880000 0.796380 0.836105 442\n", "\n", "avg / total 0.993136 0.989236 0.991130 16630\n", "\n", "Classification report for turbine 22, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.671875 0.511905 0.581081 84\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 70\n", " 13 0.000000 0.000000 0.000000 71\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 71\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 70\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.960851 0.994941 0.977599 15615\n", " 20 0.773438 0.822715 0.797315 361\n", "\n", "avg / total 0.922389 0.954660 0.938175 16630\n", "\n", "Classification report for turbine 22, turbine category 5\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996049 0.996726 0.996387 16188\n", " 20.0 0.885246 0.855204 0.869965 442\n", "\n", "avg / total 0.993104 0.992965 0.993027 16630\n", "\n", "Classification report for turbine 22, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 34\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 71\n", " 19 0.960244 0.996924 0.978240 15603\n", " 20 0.841849 0.827751 0.834741 418\n", "\n", "avg / total 0.922104 0.956164 0.938810 16630\n", "\n", "Classification report for turbine 22, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.995989 0.997097 0.996543 16188\n", " 20 0.889151 0.852941 0.870670 442\n", "\n", "avg / total 0.993150 0.993265 0.993197 16630\n", "\n", "Classification report for turbine 22, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996166 0.995120 0.995643 16188\n", " 20.0 0.869792 0.755656 0.808717 442\n", "\n", "avg / total 0.992807 0.988755 0.990674 16630\n", "\n", "Classification report for turbine 22, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.111111 0.028571 0.045455 35\n", " 13 0.076923 0.028571 0.041667 35\n", " 14 0.033333 0.027778 0.030303 36\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.978812 0.990630 0.984686 15902\n", " 20 0.874317 0.728929 0.795031 439\n", "\n", "avg / total 0.959511 0.966687 0.962816 16630\n", "\n", "Classification report for turbine 22, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 35\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.978742 0.993145 0.985891 15901\n", " 20 0.879070 0.863014 0.870968 438\n", "\n", "avg / total 0.958990 0.972339 0.965612 16630\n", "\n", "Classification report for turbine 22, turbine category 11\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996101 0.994379 0.995239 16188\n", " 20.0 0.887059 0.852941 0.869666 442\n", "\n", "avg / total 0.993203 0.990619 0.991902 16630\n", "\n", "Classification report for turbine 22, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.995989 0.997097 0.996543 16188\n", " 20 0.889151 0.852941 0.870670 442\n", "\n", "avg / total 0.993150 0.993265 0.993197 16630\n", "\n", "Classification report for turbine 22, turbine category 13\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.996050 0.996911 0.996480 16188\n", " 20.0 0.889412 0.855204 0.871972 442\n", "\n", "avg / total 0.993216 0.993145 0.993171 16630\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 23, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 3\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.977956 0.985547 0.981737 14945\n", " 20.0 0.834469 0.712978 0.768955 1202\n", "\n", "avg / total 0.967275 0.965257 0.965897 16147\n", "\n", "Classification report for turbine 23, turbine category 6\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.859016 0.486989 0.621590 538\n", " 11 0.011628 0.008333 0.009709 240\n", " 12 0.071429 0.031250 0.043478 160\n", " 13 0.008772 0.007463 0.008065 134\n", " 14 0.016949 0.017241 0.017094 116\n", " 15 0.000000 0.000000 0.000000 91\n", " 16 0.000000 0.000000 0.000000 81\n", " 17 0.000000 0.000000 0.000000 58\n", " 18 0.000000 0.000000 0.000000 52\n", " 19 0.926388 0.953070 0.939539 13957\n", " 20 0.611191 0.591667 0.601270 720\n", "\n", "avg / total 0.857693 0.867034 0.860397 16147\n", "\n", "Classification report for turbine 23, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 171\n", " 11 0.000000 0.000000 0.000000 32\n", " 12 0.000000 0.000000 0.000000 25\n", " 13 0.000000 0.000000 0.000000 25\n", " 14 0.000000 0.000000 0.000000 22\n", " 15 0.000000 0.000000 0.000000 28\n", " 16 0.000000 0.000000 0.000000 31\n", " 17 0.000000 0.000000 0.000000 25\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.962904 0.979969 0.971361 14727\n", " 20 0.607527 0.436715 0.508151 1035\n", "\n", "avg / total 0.917166 0.921781 0.918510 16147\n", "\n", "Classification report for turbine 23, turbine category 10\n", " precision recall f1-score support\n", "\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.978272 0.988157 0.983190 14945\n", " 20.0 0.839423 0.726290 0.778769 1202\n", "\n", "avg / total 0.967936 0.968663 0.967972 16147\n", "\n", "Classification report for turbine 23, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.115385 0.142857 0.127660 21\n", " 11 0.036810 0.050420 0.042553 119\n", " 12 0.055046 0.054054 0.054545 111\n", " 13 0.018519 0.008696 0.011834 115\n", " 14 0.011236 0.008850 0.009901 113\n", " 15 0.000000 0.000000 0.000000 118\n", " 16 0.000000 0.000000 0.000000 106\n", " 17 0.000000 0.000000 0.000000 110\n", " 18 0.000000 0.000000 0.000000 119\n", " 19 0.930793 0.960468 0.945397 14115\n", " 20 0.780039 0.731818 0.755159 1100\n", "\n", "avg / total 0.867808 0.890506 0.878878 16147\n", "\n", "Classification report for turbine 23, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "Classification report for turbine 23, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.978287 0.988826 0.983528 14945\n", " 20 0.839577 0.727121 0.779313 1202\n", "\n", "avg / total 0.967961 0.969344 0.968326 16147\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 23, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.975252 0.991919 0.983515 11879\n", " 20 0.976384 0.929944 0.952598 4268\n", "\n", "avg / total 0.975551 0.975537 0.975343 16147\n", "\n", "Classification report for turbine 23, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.975252 0.991919 0.983515 11879\n", " 20 0.976384 0.929944 0.952598 4268\n", "\n", "avg / total 0.975551 0.975537 0.975343 16147\n", "\n", "Classification report for turbine 23, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.975252 0.991919 0.983515 11879\n", " 20 0.976384 0.929944 0.952598 4268\n", "\n", "avg / total 0.975551 0.975537 0.975343 16147\n", "\n", "Classification report for turbine 23, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 80\n", " 11 0.000000 0.000000 0.000000 167\n", " 12 0.000000 0.000000 0.000000 154\n", " 13 0.000000 0.000000 0.000000 166\n", " 14 0.000000 0.000000 0.000000 114\n", " 15 0.000000 0.000000 0.000000 105\n", " 16 0.000000 0.000000 0.000000 116\n", " 17 0.000000 0.000000 0.000000 109\n", " 18 0.000000 0.000000 0.000000 106\n", " 19 0.897037 0.991764 0.942025 10928\n", " 20 0.948831 0.940273 0.944533 4102\n", "\n", "avg / total 0.848141 0.910076 0.877496 16147\n", "\n", "Classification report for turbine 23, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.975252 0.991919 0.983515 11879\n", " 20 0.976384 0.929944 0.952598 4268\n", "\n", "avg / total 0.975551 0.975537 0.975343 16147\n", "\n", "Classification report for turbine 23, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.973578 0.992592 0.982993 11879\n", " 20.0 0.978981 0.873008 0.922963 4268\n", "\n", "avg / total 0.975006 0.960983 0.967126 16147\n", "\n", "Classification report for turbine 23, turbine category 6\n", " precision recall f1-score support\n", "\n", " 19 0.975252 0.991919 0.983515 11879\n", " 20 0.976384 0.929944 0.952598 4268\n", "\n", "avg / total 0.975551 0.975537 0.975343 16147\n", "\n", "Classification report for turbine 23, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 104\n", " 11 0.000000 0.000000 0.000000 23\n", " 12 0.000000 0.000000 0.000000 24\n", " 13 0.000000 0.000000 0.000000 21\n", " 14 0.000000 0.000000 0.000000 19\n", " 15 0.000000 0.000000 0.000000 24\n", " 16 0.000000 0.000000 0.000000 26\n", " 17 0.000000 0.000000 0.000000 24\n", " 18 0.000000 0.000000 0.000000 27\n", " 19 0.960189 0.991793 0.975735 11697\n", " 20 0.950062 0.928812 0.939317 4158\n", "\n", "avg / total 0.940217 0.957639 0.948712 16147\n", "\n", "Classification report for turbine 23, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.001938 0.200000 0.003839 5\n", " 11 0.000000 0.000000 0.000000 30\n", " 12 0.000000 0.000000 0.000000 34\n", " 13 0.000000 0.000000 0.000000 34\n", " 14 0.000000 0.000000 0.000000 32\n", " 15 0.000000 0.000000 0.000000 22\n", " 16 0.000000 0.000000 0.000000 26\n", " 17 0.000000 0.000000 0.000000 25\n", " 18 0.000000 0.000000 0.000000 25\n", " 19 0.952322 0.982403 0.967129 11650\n", " 20 0.972132 0.768996 0.858714 4264\n", "\n", "avg / total 0.943812 0.911934 0.924545 16147\n", "\n", "Classification report for turbine 23, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.847892 0.170245 0.283556 3307\n", " 11 0.000000 0.000000 0.000000 25\n", " 12 0.000000 0.000000 0.000000 20\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 25\n", " 15 0.000000 0.000000 0.000000 24\n", " 16 0.000000 0.000000 0.000000 22\n", " 17 0.000000 0.000000 0.000000 27\n", " 18 0.000000 0.000000 0.000000 27\n", " 19 0.944347 0.935587 0.939947 11535\n", " 20 0.261337 0.792760 0.393090 1105\n", "\n", "avg / total 0.866155 0.757478 0.756448 16147\n", "\n", "Classification report for turbine 23, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.065217 0.048387 0.055556 62\n", " 11 0.000000 0.000000 0.000000 102\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 91\n", " 14 0.000000 0.000000 0.000000 99\n", " 15 0.000000 0.000000 0.000000 99\n", " 16 0.000000 0.000000 0.000000 101\n", " 17 0.000000 0.000000 0.000000 113\n", " 18 0.000000 0.000000 0.000000 111\n", " 19 0.908324 0.991689 0.948178 11070\n", " 20 0.960648 0.920305 0.940044 4191\n", "\n", "avg / total 0.872314 0.918932 0.894252 16147\n", "\n", "Classification report for turbine 23, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 7\n", " 11 0.000000 0.000000 0.000000 29\n", " 12 0.000000 0.000000 0.000000 31\n", " 13 0.000000 0.000000 0.000000 23\n", " 14 0.000000 0.000000 0.000000 25\n", " 15 0.000000 0.000000 0.000000 19\n", " 16 0.000000 0.000000 0.000000 26\n", " 17 0.000000 0.000000 0.000000 26\n", " 18 0.000000 0.000000 0.000000 25\n", " 19 0.958299 0.984407 0.971177 11672\n", " 20 0.973737 0.912992 0.942387 4264\n", "\n", "avg / total 0.949853 0.952685 0.950884 16147\n", "\n", "Classification report for turbine 23, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.975252 0.991919 0.983515 11879\n", " 20 0.976384 0.929944 0.952598 4268\n", "\n", "avg / total 0.975551 0.975537 0.975343 16147\n", "\n", "Classification report for turbine 23, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.975252 0.991919 0.983515 11879\n", " 20 0.976384 0.929944 0.952598 4268\n", "\n", "avg / total 0.975551 0.975537 0.975343 16147\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 23, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.963890 0.994174 0.978798 13559\n", " 20 0.963460 0.804869 0.877053 2588\n", "\n", "avg / total 0.963821 0.963832 0.962490 16147\n", "\n", "Classification report for turbine 23, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.963890 0.994174 0.978798 13559\n", " 20 0.963460 0.804869 0.877053 2588\n", "\n", "avg / total 0.963821 0.963832 0.962490 16147\n", "\n", "Classification report for turbine 23, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.963890 0.994174 0.978798 13559\n", " 20 0.963460 0.804869 0.877053 2588\n", "\n", "avg / total 0.963821 0.963832 0.962490 16147\n", "\n", "Classification report for turbine 23, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 223\n", " 11 0.000000 0.000000 0.000000 105\n", " 12 0.000000 0.000000 0.000000 104\n", " 13 0.000000 0.000000 0.000000 110\n", " 14 0.000000 0.000000 0.000000 104\n", " 15 0.000000 0.000000 0.000000 101\n", " 16 0.000000 0.000000 0.000000 105\n", " 17 0.000000 0.000000 0.000000 75\n", " 18 0.000000 0.000000 0.000000 70\n", " 19 0.908778 0.992099 0.948612 12783\n", " 20 0.862818 0.789185 0.824360 2367\n", "\n", "avg / total 0.845928 0.901096 0.871826 16147\n", "\n", "Classification report for turbine 23, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.963890 0.994174 0.978798 13559\n", " 20 0.963460 0.804869 0.877053 2588\n", "\n", "avg / total 0.963821 0.963832 0.962490 16147\n", "\n", "Classification report for turbine 23, turbine category 5\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.963874 0.993731 0.978575 13559\n", " 20.0 0.963460 0.804869 0.877053 2588\n", "\n", "avg / total 0.963808 0.963461 0.962303 16147\n", "\n", "Classification report for turbine 23, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 59\n", " 12 0.000000 0.000000 0.000000 45\n", " 13 0.000000 0.000000 0.000000 50\n", " 14 0.000000 0.000000 0.000000 55\n", " 15 0.000000 0.000000 0.000000 47\n", " 16 0.000000 0.000000 0.000000 56\n", " 17 0.000000 0.000000 0.000000 47\n", " 18 0.000000 0.000000 0.000000 55\n", " 19 0.934358 0.993991 0.963252 13146\n", " 20 0.954672 0.803738 0.872727 2568\n", "\n", "avg / total 0.912533 0.937078 0.923025 16147\n", "\n", "Classification report for turbine 23, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.963681 0.994100 0.978654 13559\n", " 20.0 0.962999 0.774343 0.858428 2588\n", "\n", "avg / total 0.963571 0.958878 0.959384 16147\n", "\n", "Classification report for turbine 23, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 24\n", " 12 0.000000 0.000000 0.000000 22\n", " 13 0.000000 0.000000 0.000000 26\n", " 14 0.000000 0.000000 0.000000 30\n", " 15 0.000000 0.000000 0.000000 26\n", " 16 0.000000 0.000000 0.000000 30\n", " 17 0.000000 0.000000 0.000000 27\n", " 18 0.000000 0.000000 0.000000 21\n", " 19 0.959399 0.960836 0.960117 13354\n", " 20 0.957684 0.665892 0.785567 2583\n", "\n", "avg / total 0.946647 0.901158 0.919708 16147\n", "\n", "Classification report for turbine 23, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 44\n", " 11 0.000000 0.000000 0.000000 25\n", " 12 0.000000 0.000000 0.000000 22\n", " 13 0.000000 0.000000 0.000000 23\n", " 14 0.000000 0.000000 0.000000 22\n", " 15 0.000000 0.000000 0.000000 31\n", " 16 0.000000 0.000000 0.000000 17\n", " 17 0.000000 0.000000 0.000000 21\n", " 18 0.000000 0.000000 0.000000 23\n", " 19 0.949532 0.993121 0.970838 13375\n", " 20 0.949764 0.631682 0.758735 2544\n", "\n", "avg / total 0.936161 0.922153 0.923712 16147\n", "\n", "Classification report for turbine 23, turbine category 10\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.963815 0.986135 0.974847 13559\n", " 20.0 0.963494 0.805641 0.877525 2588\n", "\n", "avg / total 0.963763 0.957206 0.959248 16147\n", "\n", "Classification report for turbine 23, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 89\n", " 12 0.000000 0.000000 0.000000 77\n", " 13 0.000000 0.000000 0.000000 84\n", " 14 0.000000 0.000000 0.000000 80\n", " 15 0.000000 0.000000 0.000000 73\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 78\n", " 18 0.000000 0.000000 0.000000 81\n", " 19 0.927684 0.986399 0.956141 12940\n", " 20 0.953390 0.791944 0.865200 2557\n", "\n", "avg / total 0.894410 0.915898 0.903250 16147\n", "\n", "Classification report for turbine 23, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.963890 0.994174 0.978798 13559\n", " 20 0.963460 0.804869 0.877053 2588\n", "\n", "avg / total 0.963821 0.963832 0.962490 16147\n", "\n", "Classification report for turbine 23, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.963890 0.994174 0.978798 13559\n", " 20 0.963460 0.804869 0.877053 2588\n", "\n", "avg / total 0.963821 0.963832 0.962490 16147\n", "\n", "------------------------------------------------------------------------\n", "Classification report for turbine 23, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.994398 0.996682 0.995539 15672\n", " 20 0.881549 0.814737 0.846827 475\n", "\n", "avg / total 0.991078 0.991330 0.991164 16147\n", "\n", "Classification report for turbine 23, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.994398 0.996682 0.995539 15672\n", " 20 0.881549 0.814737 0.846827 475\n", "\n", "avg / total 0.991078 0.991330 0.991164 16147\n", "\n", "Classification report for turbine 23, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.994398 0.996682 0.995539 15672\n", " 20 0.881549 0.814737 0.846827 475\n", "\n", "avg / total 0.991078 0.991330 0.991164 16147\n", "\n", "Classification report for turbine 23, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.040000 0.017857 0.024691 112\n", " 11 0.000000 0.000000 0.000000 68\n", " 12 0.000000 0.000000 0.000000 61\n", " 13 0.000000 0.000000 0.000000 65\n", " 14 0.000000 0.000000 0.000000 67\n", " 15 0.000000 0.000000 0.000000 67\n", " 16 0.000000 0.000000 0.000000 66\n", " 17 0.000000 0.000000 0.000000 64\n", " 18 0.000000 0.000000 0.000000 63\n", " 19 0.959813 0.990738 0.975030 15115\n", " 20 0.746231 0.744361 0.745295 399\n", "\n", "avg / total 0.917186 0.945934 0.931301 16147\n", "\n", "Classification report for turbine 23, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 79\n", " 11 0.000000 0.000000 0.000000 46\n", " 12 0.000000 0.000000 0.000000 29\n", " 13 0.000000 0.000000 0.000000 34\n", " 14 0.000000 0.000000 0.000000 25\n", " 15 0.000000 0.000000 0.000000 22\n", " 16 0.000000 0.000000 0.000000 24\n", " 17 0.000000 0.000000 0.000000 24\n", " 18 0.000000 0.000000 0.000000 24\n", " 19 0.983830 0.996711 0.990228 15505\n", " 20 0.562642 0.737313 0.638243 335\n", "\n", "avg / total 0.956386 0.972379 0.964099 16147\n", "\n", "Classification report for turbine 23, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994397 0.996554 0.995475 15672\n", " 20.0 0.881279 0.812632 0.845564 475\n", "\n", "avg / total 0.991069 0.991144 0.991065 16147\n", "\n", "Classification report for turbine 23, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994398 0.996682 0.995539 15672\n", " 20.0 0.880184 0.804211 0.840484 475\n", "\n", "avg / total 0.991038 0.991020 0.990977 16147\n", "\n", "Classification report for turbine 23, turbine category 7\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994397 0.996554 0.995475 15672\n", " 20.0 0.881549 0.814737 0.846827 475\n", "\n", "avg / total 0.991077 0.991206 0.991102 16147\n", "\n", "Classification report for turbine 23, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 33\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 34\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.977409 0.991882 0.984593 15398\n", " 20 0.832134 0.751082 0.789534 462\n", "\n", "avg / total 0.955880 0.967362 0.961511 16147\n", "\n", "Classification report for turbine 23, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994452 0.995023 0.994737 15672\n", " 20.0 0.869681 0.688421 0.768508 475\n", "\n", "avg / total 0.990781 0.986004 0.988082 16147\n", "\n", "Classification report for turbine 23, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 34\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.976303 0.996036 0.986070 15387\n", " 20 0.870455 0.814894 0.841758 470\n", "\n", "avg / total 0.955687 0.972874 0.964160 16147\n", "\n", "Classification report for turbine 23, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 1.000000 0.055556 0.105263 18\n", " 11 0.000000 0.000000 0.000000 102\n", " 12 0.000000 0.000000 0.000000 95\n", " 13 0.000000 0.000000 0.000000 98\n", " 14 0.000000 0.000000 0.000000 93\n", " 15 0.000000 0.000000 0.000000 97\n", " 16 0.000000 0.000000 0.000000 101\n", " 17 0.000000 0.000000 0.000000 104\n", " 18 0.000000 0.000000 0.000000 102\n", " 19 0.945835 0.994092 0.969364 14896\n", " 20 0.811791 0.811791 0.811791 441\n", "\n", "avg / total 0.895842 0.939308 0.916550 16147\n", "\n", "Classification report for turbine 23, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.994398 0.996682 0.995539 15672\n", " 20 0.881549 0.814737 0.846827 475\n", "\n", "avg / total 0.991078 0.991330 0.991164 16147\n", "\n", "Classification report for turbine 23, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 10\n", " 11 0.000000 0.000000 0.000000 29\n", " 12 0.000000 0.000000 0.000000 21\n", " 13 0.000000 0.000000 0.000000 26\n", " 14 0.000000 0.000000 0.000000 24\n", " 15 0.000000 0.000000 0.000000 27\n", " 16 0.000000 0.000000 0.000000 30\n", " 17 0.000000 0.000000 0.000000 33\n", " 18 0.000000 0.000000 0.000000 28\n", " 19 0.980647 0.996636 0.988577 15456\n", " 20 0.858770 0.814255 0.835920 463\n", "\n", "avg / total 0.963305 0.977333 0.970240 16147\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 23, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.992952 0.996173 0.994560 15415\n", " 20 0.913490 0.851093 0.881188 732\n", "\n", "avg / total 0.989350 0.989596 0.989420 16147\n", "\n", "Classification report for turbine 23, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.992952 0.996173 0.994560 15415\n", " 20 0.913490 0.851093 0.881188 732\n", "\n", "avg / total 0.989350 0.989596 0.989420 16147\n", "\n", "Classification report for turbine 23, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.992952 0.996173 0.994560 15415\n", " 20 0.913490 0.851093 0.881188 732\n", "\n", "avg / total 0.989350 0.989596 0.989420 16147\n", "\n", "Classification report for turbine 23, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993125 0.993318 0.993222 15415\n", " 20.0 0.909786 0.812842 0.858586 732\n", "\n", "avg / total 0.989347 0.985137 0.987118 16147\n", "\n", "Classification report for turbine 23, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992950 0.995978 0.994462 15415\n", " 20.0 0.911765 0.846995 0.878187 732\n", "\n", "avg / total 0.989270 0.989224 0.989191 16147\n", "\n", "Classification report for turbine 23, turbine category 5\n", " precision recall f1-score support\n", "\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992952 0.996173 0.994560 15415\n", " 20.0 0.913235 0.848361 0.879603 732\n", "\n", "avg / total 0.989338 0.989472 0.989348 16147\n", "\n", "Classification report for turbine 23, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 11\n", " 11 0.000000 0.000000 0.000000 107\n", " 12 0.000000 0.000000 0.000000 108\n", " 13 0.000000 0.000000 0.000000 108\n", " 14 0.000000 0.000000 0.000000 107\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 108\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.938248 0.996292 0.966399 14564\n", " 20 0.898827 0.863380 0.880747 710\n", "\n", "avg / total 0.885787 0.936583 0.910384 16147\n", "\n", "Classification report for turbine 23, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992952 0.996173 0.994560 15415\n", " 20.0 0.913235 0.848361 0.879603 732\n", "\n", "avg / total 0.989338 0.989472 0.989348 16147\n", "\n", "Classification report for turbine 23, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993131 0.994162 0.993646 15415\n", " 20.0 0.901431 0.774590 0.833211 732\n", "\n", "avg / total 0.988974 0.984208 0.986373 16147\n", "\n", "Classification report for turbine 23, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.132867 0.086758 0.104972 219\n", " 11 0.000000 0.000000 0.000000 287\n", " 12 0.000000 0.000000 0.000000 287\n", " 13 0.000000 0.000000 0.000000 286\n", " 14 0.000000 0.000000 0.000000 287\n", " 15 0.000000 0.000000 0.000000 286\n", " 16 0.000000 0.000000 0.000000 287\n", " 17 0.000000 0.000000 0.000000 288\n", " 18 0.000000 0.000000 0.000000 287\n", " 19 0.844996 0.992610 0.912874 13126\n", " 20 0.543186 0.558185 0.550584 507\n", "\n", "avg / total 0.705761 0.825602 0.760793 16147\n", "\n", "Classification report for turbine 23, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992950 0.995848 0.994397 15415\n", " 20.0 0.913363 0.849727 0.880396 732\n", "\n", "avg / total 0.989342 0.989224 0.989229 16147\n", "\n", "Classification report for turbine 23, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.500000 0.071429 0.125000 14\n", " 11 0.000000 0.000000 0.000000 71\n", " 12 0.000000 0.000000 0.000000 71\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 71\n", " 16 0.000000 0.000000 0.000000 71\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.957745 0.994214 0.975639 14864\n", " 20 0.885341 0.875179 0.880231 697\n", "\n", "avg / total 0.920295 0.953056 0.936221 16147\n", "\n", "Classification report for turbine 23, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.992952 0.996173 0.994560 15415\n", " 20 0.913490 0.851093 0.881188 732\n", "\n", "avg / total 0.989350 0.989596 0.989420 16147\n", "\n", "Classification report for turbine 23, turbine category 13\n", " precision recall f1-score support\n", "\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992951 0.996043 0.994494 15415\n", " 20.0 0.912152 0.851093 0.880565 732\n", "\n", "avg / total 0.989288 0.989472 0.989330 16147\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 24, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.951961 0.997907 0.974393 16244\n", " 20 0.931727 0.361934 0.521348 1282\n", "\n", "avg / total 0.950481 0.951387 0.941253 17526\n", "\n", "Classification report for turbine 24, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.951961 0.997907 0.974393 16244\n", " 20 0.931727 0.361934 0.521348 1282\n", "\n", "avg / total 0.950481 0.951387 0.941253 17526\n", "\n", "Classification report for turbine 24, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.951961 0.997907 0.974393 16244\n", " 20 0.931727 0.361934 0.521348 1282\n", "\n", "avg / total 0.950481 0.951387 0.941253 17526\n", "\n", "Classification report for turbine 24, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.875000 0.126506 0.221053 166\n", " 11 0.000000 0.000000 0.000000 168\n", " 12 0.000000 0.000000 0.000000 151\n", " 13 0.000000 0.000000 0.000000 145\n", " 14 0.000000 0.000000 0.000000 157\n", " 15 0.000000 0.000000 0.000000 153\n", " 16 0.000000 0.000000 0.000000 148\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 147\n", " 19 0.886613 0.995242 0.937792 15132\n", " 20 0.690722 0.330049 0.446667 1015\n", "\n", "avg / total 0.813794 0.879607 0.837654 17526\n", "\n", "Classification report for turbine 24, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.951797 0.997968 0.974336 16244\n", " 20.0 0.932653 0.356474 0.515801 1282\n", "\n", "avg / total 0.950396 0.951044 0.940795 17526\n", "\n", "Classification report for turbine 24, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.951961 0.997907 0.974393 16244\n", " 20 0.931727 0.361934 0.521348 1282\n", "\n", "avg / total 0.950481 0.951387 0.941253 17526\n", "\n", "Classification report for turbine 24, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.041667 0.003268 0.006061 306\n", " 11 0.000000 0.000000 0.000000 52\n", " 12 0.000000 0.000000 0.000000 59\n", " 13 0.000000 0.000000 0.000000 62\n", " 14 0.000000 0.000000 0.000000 66\n", " 15 0.000000 0.000000 0.000000 49\n", " 16 0.000000 0.000000 0.000000 31\n", " 17 0.000000 0.000000 0.000000 31\n", " 18 0.000000 0.000000 0.000000 32\n", " 19 0.923960 0.996382 0.958805 15756\n", " 20 0.907895 0.382625 0.538362 1082\n", "\n", "avg / total 0.887425 0.919434 0.895315 17526\n", "\n", "Classification report for turbine 24, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.951961 0.997907 0.974393 16244\n", " 20 0.931727 0.361934 0.521348 1282\n", "\n", "avg / total 0.950481 0.951387 0.941253 17526\n", "\n", "Classification report for turbine 24, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.228346 0.358025 0.278846 243\n", " 11 0.000000 0.000000 0.000000 149\n", " 12 0.000000 0.000000 0.000000 146\n", " 13 0.016393 0.006757 0.009569 148\n", " 14 0.040000 0.006623 0.011364 151\n", " 15 0.000000 0.000000 0.000000 155\n", " 16 0.019231 0.012903 0.015444 155\n", " 17 0.000000 0.000000 0.000000 158\n", " 18 0.000000 0.000000 0.000000 143\n", " 19 0.876654 0.972656 0.922163 14921\n", " 20 0.862416 0.222126 0.353265 1157\n", "\n", "avg / total 0.807104 0.847940 0.812599 17526\n", "\n", "Classification report for turbine 24, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.004021 0.007947 746\n", " 11 0.000000 0.000000 0.000000 333\n", " 12 0.000000 0.000000 0.000000 189\n", " 13 0.000000 0.000000 0.000000 181\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 174\n", " 16 0.000000 0.000000 0.000000 183\n", " 17 0.000000 0.000000 0.000000 174\n", " 18 0.000000 0.000000 0.000000 169\n", " 19 0.856512 0.978440 0.913425 14471\n", " 20 0.550442 0.428375 0.481797 726\n", "\n", "avg / total 0.744201 0.825802 0.774500 17526\n", "\n", "Classification report for turbine 24, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.209677 0.098485 0.134021 132\n", " 11 0.000000 0.000000 0.000000 185\n", " 12 0.000000 0.000000 0.000000 173\n", " 13 0.000000 0.000000 0.000000 157\n", " 14 0.000000 0.000000 0.000000 149\n", " 15 0.000000 0.000000 0.000000 140\n", " 16 0.000000 0.000000 0.000000 147\n", " 17 0.000000 0.000000 0.000000 143\n", " 18 0.071429 0.007092 0.012903 141\n", " 19 0.877418 0.988040 0.929449 14967\n", " 20 0.787629 0.320470 0.455575 1192\n", "\n", "avg / total 0.805028 0.866370 0.825837 17526\n", "\n", "Classification report for turbine 24, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.181818 0.055556 0.085106 36\n", " 11 0.028986 0.009174 0.013937 218\n", " 12 0.000000 0.000000 0.000000 202\n", " 13 0.219512 0.084507 0.122034 213\n", " 14 0.000000 0.000000 0.000000 218\n", " 15 0.000000 0.000000 0.000000 217\n", " 16 0.000000 0.000000 0.000000 220\n", " 17 0.000000 0.000000 0.000000 195\n", " 18 0.000000 0.000000 0.000000 186\n", " 19 0.866703 0.976013 0.918116 14716\n", " 20 0.815642 0.396380 0.533496 1105\n", "\n", "avg / total 0.782569 0.845772 0.806379 17526\n", "\n", "Classification report for turbine 24, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.951961 0.997907 0.974393 16244\n", " 20 0.931727 0.361934 0.521348 1282\n", "\n", "avg / total 0.950481 0.951387 0.941253 17526\n", "\n", "Classification report for turbine 24, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.951961 0.997907 0.974393 16244\n", " 20 0.931727 0.361934 0.521348 1282\n", "\n", "avg / total 0.950481 0.951387 0.941253 17526\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 24, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 22\n", " 11 0.000000 0.000000 0.000000 28\n", " 12 0.000000 0.000000 0.000000 33\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 30\n", " 15 0.000000 0.000000 0.000000 32\n", " 16 0.000000 0.000000 0.000000 32\n", " 17 0.000000 0.000000 0.000000 34\n", " 18 0.000000 0.000000 0.000000 34\n", " 19 0.914703 0.993093 0.952288 11727\n", " 20 0.953484 0.827480 0.886024 5524\n", "\n", "avg / total 0.912574 0.925311 0.916460 17526\n", "\n", "Classification report for turbine 24, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.924050 0.993162 0.957360 11846\n", " 20 0.983104 0.829754 0.899943 5680\n", "\n", "avg / total 0.943189 0.940203 0.938752 17526\n", "\n", "Classification report for turbine 24, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.924050 0.993162 0.957360 11846\n", " 20 0.983104 0.829754 0.899943 5680\n", "\n", "avg / total 0.943189 0.940203 0.938752 17526\n", "\n", "Classification report for turbine 24, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.616162 0.013178 0.025804 4629\n", " 11 0.000000 0.000000 0.000000 194\n", " 12 0.000000 0.000000 0.000000 188\n", " 13 0.000000 0.000000 0.000000 174\n", " 14 0.000000 0.000000 0.000000 180\n", " 15 0.000000 0.000000 0.000000 181\n", " 16 0.000000 0.000000 0.000000 180\n", " 17 0.000000 0.000000 0.000000 171\n", " 18 0.000000 0.000000 0.000000 188\n", " 19 0.759899 0.992275 0.860678 9709\n", " 20 0.341711 0.934180 0.500387 1732\n", "\n", "avg / total 0.617478 0.645498 0.533062 17526\n", "\n", "Classification report for turbine 24, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 26\n", " 11 1.000000 0.016949 0.033333 59\n", " 12 0.000000 0.000000 0.000000 62\n", " 13 0.000000 0.000000 0.000000 54\n", " 14 0.000000 0.000000 0.000000 61\n", " 15 0.000000 0.000000 0.000000 57\n", " 16 0.000000 0.000000 0.000000 61\n", " 17 0.000000 0.000000 0.000000 61\n", " 18 0.000000 0.000000 0.000000 50\n", " 19 0.891038 0.992209 0.938906 11423\n", " 20 0.972921 0.806664 0.882026 5612\n", "\n", "avg / total 0.895661 0.905055 0.894501 17526\n", "\n", "Classification report for turbine 24, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.924050 0.993162 0.957360 11846\n", " 20 0.983104 0.829754 0.899943 5680\n", "\n", "avg / total 0.943189 0.940203 0.938752 17526\n", "\n", "Classification report for turbine 24, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.493827 0.050505 0.091638 792\n", " 11 0.000000 0.000000 0.000000 95\n", " 12 0.000000 0.000000 0.000000 89\n", " 13 0.000000 0.000000 0.000000 95\n", " 14 0.000000 0.000000 0.000000 96\n", " 15 0.000000 0.000000 0.000000 92\n", " 16 0.000000 0.000000 0.000000 97\n", " 17 0.000000 0.000000 0.000000 99\n", " 18 0.000000 0.000000 0.000000 94\n", " 19 0.898344 0.991988 0.942847 11483\n", " 20 0.753866 0.781041 0.767213 4494\n", "\n", "avg / total 0.804215 0.852505 0.818620 17526\n", "\n", "Classification report for turbine 24, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.924050 0.993162 0.957360 11846\n", " 20 0.983104 0.829754 0.899943 5680\n", "\n", "avg / total 0.943189 0.940203 0.938752 17526\n", "\n", "Classification report for turbine 24, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.001292 0.080000 0.002543 25\n", " 11 0.000000 0.000000 0.000000 97\n", " 12 0.000000 0.000000 0.000000 97\n", " 13 0.000000 0.000000 0.000000 96\n", " 14 0.000000 0.000000 0.000000 95\n", " 15 0.000000 0.000000 0.000000 97\n", " 16 0.000000 0.000000 0.000000 92\n", " 17 0.000000 0.000000 0.000000 96\n", " 18 0.000000 0.000000 0.000000 82\n", " 19 0.888587 0.971748 0.928309 11433\n", " 20 0.892901 0.548909 0.679870 5316\n", "\n", "avg / total 0.850502 0.800525 0.811800 17526\n", "\n", "Classification report for turbine 24, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.029197 0.224852 0.051683 338\n", " 11 0.000000 0.000000 0.000000 64\n", " 12 0.000000 0.000000 0.000000 60\n", " 13 0.000000 0.000000 0.000000 63\n", " 14 0.000000 0.000000 0.000000 59\n", " 15 0.000000 0.000000 0.000000 64\n", " 16 0.000000 0.000000 0.000000 58\n", " 17 0.000000 0.000000 0.000000 61\n", " 18 0.000000 0.000000 0.000000 58\n", " 19 0.926205 0.956096 0.940913 11434\n", " 20 0.892748 0.497817 0.639200 5267\n", "\n", "avg / total 0.873114 0.777702 0.806946 17526\n", "\n", "Classification report for turbine 24, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.006098 0.010870 0.007813 92\n", " 11 0.000000 0.000000 0.000000 90\n", " 12 0.000000 0.000000 0.000000 83\n", " 13 0.000000 0.000000 0.000000 86\n", " 14 0.000000 0.000000 0.000000 87\n", " 15 0.000000 0.000000 0.000000 100\n", " 16 0.000000 0.000000 0.000000 84\n", " 17 0.000000 0.000000 0.000000 95\n", " 18 0.000000 0.000000 0.000000 96\n", " 19 0.862069 0.987109 0.920361 11093\n", " 20 0.971062 0.794128 0.873727 5620\n", "\n", "avg / total 0.857061 0.879493 0.862755 17526\n", "\n", "Classification report for turbine 24, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 10\n", " 11 0.000000 0.000000 0.000000 60\n", " 12 0.000000 0.000000 0.000000 57\n", " 13 0.000000 0.000000 0.000000 61\n", " 14 0.000000 0.000000 0.000000 64\n", " 15 0.000000 0.000000 0.000000 67\n", " 16 0.000000 0.000000 0.000000 67\n", " 17 0.000000 0.000000 0.000000 67\n", " 18 0.000000 0.000000 0.000000 63\n", " 19 0.893456 0.982529 0.935878 11505\n", " 20 0.946310 0.803633 0.869155 5505\n", "\n", "avg / total 0.883752 0.897410 0.887366 17526\n", "\n", "Classification report for turbine 24, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.924050 0.993162 0.957360 11846\n", " 20 0.983104 0.829754 0.899943 5680\n", "\n", "avg / total 0.943189 0.940203 0.938752 17526\n", "\n", "Classification report for turbine 24, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.924050 0.993162 0.957360 11846\n", " 20 0.983104 0.829754 0.899943 5680\n", "\n", "avg / total 0.943189 0.940203 0.938752 17526\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 24, turbine category 0\n", " precision recall f1-score support\n", "\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.903300 0.990457 0.944873 7545\n", " 20.0 0.991916 0.885182 0.935515 9981\n", "\n", "avg / total 0.953767 0.930503 0.939543 17526\n", "\n", "Classification report for turbine 24, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.906258 0.990457 0.946489 7545\n", " 20 0.992241 0.922553 0.956129 9981\n", "\n", "avg / total 0.955225 0.951786 0.951979 17526\n", "\n", "Classification report for turbine 24, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.906258 0.990457 0.946489 7545\n", " 20 0.992241 0.922553 0.956129 9981\n", "\n", "avg / total 0.955225 0.951786 0.951979 17526\n", "\n", "Classification report for turbine 24, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.993870 0.594137 0.743693 13098\n", " 11 0.000000 0.000000 0.000000 52\n", " 12 0.000000 0.000000 0.000000 57\n", " 13 0.000000 0.000000 0.000000 54\n", " 14 0.000000 0.000000 0.000000 30\n", " 15 0.000000 0.000000 0.000000 30\n", " 16 0.000000 0.000000 0.000000 28\n", " 17 0.000000 0.000000 0.000000 34\n", " 18 0.000000 0.000000 0.000000 27\n", " 19 0.649950 0.994681 0.786186 3948\n", " 20 0.032916 0.595238 0.062383 168\n", "\n", "avg / total 0.889492 0.673799 0.733495 17526\n", "\n", "Classification report for turbine 24, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.906367 0.990457 0.946548 7545\n", " 20 0.992242 0.922653 0.956183 9981\n", "\n", "avg / total 0.955273 0.951843 0.952035 17526\n", "\n", "Classification report for turbine 24, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 95\n", " 11 0.000000 0.000000 0.000000 151\n", " 12 0.000000 0.000000 0.000000 145\n", " 13 0.000000 0.000000 0.000000 140\n", " 14 0.000000 0.000000 0.000000 137\n", " 15 0.000000 0.000000 0.000000 127\n", " 16 0.000000 0.000000 0.000000 114\n", " 17 0.000000 0.000000 0.000000 110\n", " 18 0.000000 0.000000 0.000000 124\n", " 19 0.781349 0.990012 0.873390 6508\n", " 20 0.982004 0.922835 0.951501 9875\n", "\n", "avg / total 0.843450 0.887596 0.860441 17526\n", "\n", "Classification report for turbine 24, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.903958 0.986746 0.943540 7545\n", " 20.0 0.991491 0.805531 0.888889 9981\n", "\n", "avg / total 0.953808 0.883544 0.912416 17526\n", "\n", "Classification report for turbine 24, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.906258 0.990457 0.946489 7545\n", " 20 0.992241 0.922553 0.956129 9981\n", "\n", "avg / total 0.955225 0.951786 0.951979 17526\n", "\n", "Classification report for turbine 24, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.046341 0.139706 0.069597 136\n", " 11 0.000000 0.000000 0.000000 78\n", " 12 0.625000 0.050000 0.092593 100\n", " 13 0.000000 0.000000 0.000000 95\n", " 14 0.015873 0.023810 0.019048 84\n", " 15 0.500000 0.011765 0.022989 85\n", " 16 0.000000 0.000000 0.000000 95\n", " 17 0.000000 0.000000 0.000000 95\n", " 18 0.000000 0.000000 0.000000 66\n", " 19 0.850950 0.940662 0.893560 7095\n", " 20 0.964714 0.905908 0.934387 9597\n", "\n", "avg / total 0.879179 0.878409 0.874666 17526\n", "\n", "Classification report for turbine 24, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.918375 0.967793 0.942437 7545\n", " 20.0 0.991384 0.680192 0.806822 9981\n", "\n", "avg / total 0.959954 0.804005 0.865204 17526\n", "\n", "Classification report for turbine 24, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.909881 0.984891 0.945901 7545\n", " 20.0 0.992161 0.925659 0.957757 9981\n", "\n", "avg / total 0.956739 0.951158 0.952653 17526\n", "\n", "Classification report for turbine 24, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.910150 0.984095 0.945679 7545\n", " 20.0 0.991183 0.889791 0.937754 9981\n", "\n", "avg / total 0.956298 0.930389 0.941166 17526\n", "\n", "Classification report for turbine 24, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.906258 0.990457 0.946489 7545\n", " 20 0.992241 0.922553 0.956129 9981\n", "\n", "avg / total 0.955225 0.951786 0.951979 17526\n", "\n", "Classification report for turbine 24, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.906258 0.990457 0.946489 7545\n", " 20 0.992241 0.922553 0.956129 9981\n", "\n", "avg / total 0.955225 0.951786 0.951979 17526\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 24, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993334 0.997276 0.995301 16885\n", " 20.0 0.935943 0.820593 0.874480 641\n", "\n", "avg / total 0.991235 0.990814 0.990882 17526\n", "\n", "Classification report for turbine 24, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.993046 0.997986 0.995510 16885\n", " 20 0.938959 0.815913 0.873122 641\n", "\n", "avg / total 0.991068 0.991327 0.991034 17526\n", "\n", "Classification report for turbine 24, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.993046 0.997986 0.995510 16885\n", " 20 0.938959 0.815913 0.873122 641\n", "\n", "avg / total 0.991068 0.991327 0.991034 17526\n", "\n", "Classification report for turbine 24, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.015666 0.068966 0.025532 87\n", " 11 0.000000 0.000000 0.000000 179\n", " 12 0.000000 0.000000 0.000000 135\n", " 13 0.000000 0.000000 0.000000 142\n", " 14 0.058824 0.007194 0.012821 139\n", " 15 0.000000 0.000000 0.000000 138\n", " 16 0.000000 0.000000 0.000000 143\n", " 17 0.000000 0.000000 0.000000 144\n", " 18 0.000000 0.000000 0.000000 132\n", " 19 0.931423 0.984007 0.956993 15694\n", " 20 0.868766 0.558179 0.679671 593\n", "\n", "avg / total 0.864001 0.900434 0.880184 17526\n", "\n", "Classification report for turbine 24, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 65\n", " 11 0.000000 0.000000 0.000000 23\n", " 12 0.000000 0.000000 0.000000 31\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 29\n", " 15 0.000000 0.000000 0.000000 33\n", " 16 0.000000 0.000000 0.000000 30\n", " 17 0.000000 0.000000 0.000000 31\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.979168 0.996756 0.987884 16646\n", " 20 0.832432 0.793814 0.812665 582\n", "\n", "avg / total 0.957646 0.973069 0.965268 17526\n", "\n", "Classification report for turbine 24, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 10\n", " 11 0.000000 0.000000 0.000000 32\n", " 12 0.000000 0.000000 0.000000 26\n", " 13 0.000000 0.000000 0.000000 27\n", " 14 0.000000 0.000000 0.000000 32\n", " 15 0.000000 0.000000 0.000000 30\n", " 16 0.000000 0.000000 0.000000 35\n", " 17 0.000000 0.000000 0.000000 32\n", " 18 0.000000 0.000000 0.000000 30\n", " 19 0.980349 0.996700 0.988457 16668\n", " 20 0.875676 0.804636 0.838654 604\n", "\n", "avg / total 0.962534 0.975636 0.968969 17526\n", "\n", "Classification report for turbine 24, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 37\n", " 11 0.000000 0.000000 0.000000 98\n", " 12 0.000000 0.000000 0.000000 98\n", " 13 0.000000 0.000000 0.000000 92\n", " 14 0.000000 0.000000 0.000000 100\n", " 15 0.000000 0.000000 0.000000 92\n", " 16 0.000000 0.000000 0.000000 98\n", " 17 0.000000 0.000000 0.000000 95\n", " 18 0.000000 0.000000 0.000000 95\n", " 19 0.950018 0.996904 0.972896 16149\n", " 20 0.830601 0.797203 0.813559 572\n", "\n", "avg / total 0.902484 0.944597 0.923009 17526\n", "\n", "Classification report for turbine 24, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.993046 0.997986 0.995510 16885\n", " 20 0.938959 0.815913 0.873122 641\n", "\n", "avg / total 0.991068 0.991327 0.991034 17526\n", "\n", "Classification report for turbine 24, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 26\n", " 11 0.000000 0.000000 0.000000 31\n", " 12 0.000000 0.000000 0.000000 29\n", " 13 0.000000 0.000000 0.000000 28\n", " 14 0.000000 0.000000 0.000000 28\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 27\n", " 17 0.000000 0.000000 0.000000 33\n", " 18 0.058824 0.027778 0.037736 36\n", " 19 0.978099 0.988690 0.983366 16623\n", " 20 0.924855 0.761905 0.835509 630\n", "\n", "avg / total 0.961070 0.965195 0.962811 17526\n", "\n", "Classification report for turbine 24, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994107 0.989103 0.991599 16885\n", " 20.0 0.934263 0.731669 0.820647 641\n", "\n", "avg / total 0.991918 0.979687 0.985346 17526\n", "\n", "Classification report for turbine 24, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 98\n", " 11 0.000000 0.000000 0.000000 107\n", " 12 0.000000 0.000000 0.000000 82\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 71\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 71\n", " 19 0.956869 0.994221 0.975188 16267\n", " 20 0.781753 0.806273 0.793824 542\n", "\n", "avg / total 0.912307 0.947735 0.929683 17526\n", "\n", "Classification report for turbine 24, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 33\n", " 13 0.000000 0.000000 0.000000 33\n", " 14 0.000000 0.000000 0.000000 33\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 32\n", " 17 0.000000 0.000000 0.000000 29\n", " 18 0.000000 0.000000 0.000000 28\n", " 19 0.978569 0.988871 0.983693 16623\n", " 20 0.928571 0.835423 0.879538 638\n", "\n", "avg / total 0.961952 0.968333 0.965028 17526\n", "\n", "Classification report for turbine 24, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.993046 0.997986 0.995510 16885\n", " 20 0.938959 0.815913 0.873122 641\n", "\n", "avg / total 0.991068 0.991327 0.991034 17526\n", "\n", "Classification report for turbine 24, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 16\n", " 11 0.000000 0.000000 0.000000 35\n", " 12 0.000000 0.000000 0.000000 32\n", " 13 0.000000 0.000000 0.000000 27\n", " 14 0.000000 0.000000 0.000000 22\n", " 15 0.000000 0.000000 0.000000 30\n", " 16 0.000000 0.000000 0.000000 26\n", " 17 0.000000 0.000000 0.000000 31\n", " 18 0.000000 0.000000 0.000000 27\n", " 19 0.979433 0.997958 0.988609 16654\n", " 20 0.915619 0.814696 0.862215 626\n", "\n", "avg / total 0.963406 0.977405 0.970218 17526\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 24, turbine category 0\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994843 0.998721 0.996778 16418\n", " 20.0 0.981766 0.923285 0.951628 1108\n", "\n", "avg / total 0.994016 0.993952 0.993924 17526\n", "\n", "Classification report for turbine 24, turbine category 1\n", " precision recall f1-score support\n", "\n", " 19 0.994843 0.998843 0.996839 16418\n", " 20 0.981766 0.923285 0.951628 1108\n", "\n", "avg / total 0.994017 0.994066 0.993981 17526\n", "\n", "Classification report for turbine 24, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.994843 0.998843 0.996839 16418\n", " 20 0.981766 0.923285 0.951628 1108\n", "\n", "avg / total 0.994017 0.994066 0.993981 17526\n", "\n", "Classification report for turbine 24, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.993743 0.986661 0.990189 16418\n", " 20.0 0.967033 0.476534 0.638452 1108\n", "\n", "avg / total 0.992054 0.954411 0.967952 17526\n", "\n", "Classification report for turbine 24, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 13\n", " 11 0.000000 0.000000 0.000000 72\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 71\n", " 14 0.000000 0.000000 0.000000 68\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 72\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.962118 0.998425 0.979935 15873\n", " 20 0.944177 0.917680 0.930740 1069\n", "\n", "avg / total 0.928964 0.960231 0.944281 17526\n", "\n", "Classification report for turbine 24, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.071429 0.100000 0.083333 10\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 35\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 35\n", " 18 0.000000 0.000000 0.000000 30\n", " 19 0.979667 0.998515 0.989002 16165\n", " 20 0.950195 0.908497 0.928878 1071\n", "\n", "avg / total 0.961697 0.976549 0.969010 17526\n", "\n", "Classification report for turbine 24, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.045455 0.001942 0.003724 515\n", " 11 0.000000 0.000000 0.000000 561\n", " 12 0.000000 0.000000 0.000000 534\n", " 13 0.050000 0.001866 0.003597 536\n", " 14 0.000000 0.000000 0.000000 496\n", " 15 0.000000 0.000000 0.000000 498\n", " 16 0.400000 0.003992 0.007905 501\n", " 17 0.625000 0.019881 0.038536 503\n", " 18 0.000000 0.000000 0.000000 502\n", " 19 0.749407 0.996846 0.855596 12366\n", " 20 0.453994 0.873541 0.597472 514\n", "\n", "avg / total 0.574319 0.729773 0.622766 17526\n", "\n", "Classification report for turbine 24, turbine category 7\n", " precision recall f1-score support\n", "\n", " 19 0.994843 0.998843 0.996839 16418\n", " 20 0.981766 0.923285 0.951628 1108\n", "\n", "avg / total 0.994017 0.994066 0.993981 17526\n", "\n", "Classification report for turbine 24, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 31\n", " 11 0.000000 0.000000 0.000000 74\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 72\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 70\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.967102 0.993043 0.979901 15956\n", " 20 0.848544 0.907580 0.877070 963\n", "\n", "avg / total 0.927093 0.953954 0.940313 17526\n", "\n", "Classification report for turbine 24, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.030303 0.007874 0.012500 127\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 107\n", " 13 0.000000 0.000000 0.000000 106\n", " 14 0.000000 0.000000 0.000000 104\n", " 15 0.000000 0.000000 0.000000 105\n", " 16 0.000000 0.000000 0.000000 106\n", " 17 0.000000 0.000000 0.000000 107\n", " 18 0.000000 0.000000 0.000000 108\n", " 19 0.948385 0.998083 0.972599 15648\n", " 20 0.781405 0.877778 0.826792 900\n", "\n", "avg / total 0.887107 0.936266 0.910929 17526\n", "\n", "Classification report for turbine 24, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 157\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 107\n", " 13 0.000000 0.000000 0.000000 107\n", " 14 0.000000 0.000000 0.000000 107\n", " 15 0.000000 0.000000 0.000000 108\n", " 16 0.000000 0.000000 0.000000 97\n", " 17 0.000000 0.000000 0.000000 108\n", " 18 0.000000 0.000000 0.000000 107\n", " 19 0.941420 0.996330 0.968097 15533\n", " 20 0.870441 0.918946 0.894036 987\n", "\n", "avg / total 0.883385 0.934783 0.908357 17526\n", "\n", "Classification report for turbine 24, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 107\n", " 12 0.000000 0.000000 0.000000 107\n", " 13 0.000000 0.000000 0.000000 97\n", " 14 0.000000 0.000000 0.000000 107\n", " 15 0.000000 0.000000 0.000000 103\n", " 16 0.000000 0.000000 0.000000 103\n", " 17 0.000000 0.000000 0.000000 107\n", " 18 0.000000 0.000000 0.000000 106\n", " 19 0.948529 0.995270 0.971338 15646\n", " 20 0.906578 0.928711 0.917511 1024\n", "\n", "avg / total 0.899750 0.942771 0.920751 17526\n", "\n", "Classification report for turbine 24, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.994843 0.998843 0.996839 16418\n", " 20 0.981766 0.923285 0.951628 1108\n", "\n", "avg / total 0.994017 0.994066 0.993981 17526\n", "\n", "Classification report for turbine 24, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.994839 0.997990 0.996412 16418\n", " 20.0 0.981696 0.919675 0.949674 1108\n", "\n", "avg / total 0.994008 0.993039 0.993457 17526\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 25, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.988837 0.992834 0.990831 16327\n", " 20 0.843373 0.774908 0.807692 813\n", "\n", "avg / total 0.981937 0.982497 0.982144 17140\n", "\n", "Classification report for turbine 25, turbine category 1\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988833 0.992528 0.990677 16327\n", " 20.0 0.843164 0.773678 0.806928 813\n", "\n", "avg / total 0.981924 0.982147 0.981961 17140\n", "\n", "Classification report for turbine 25, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.988837 0.992834 0.990831 16327\n", " 20 0.843373 0.774908 0.807692 813\n", "\n", "avg / total 0.981937 0.982497 0.982144 17140\n", "\n", "Classification report for turbine 25, turbine category 3\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989000 0.991180 0.990089 16327\n", " 20.0 0.845430 0.773678 0.807964 813\n", "\n", "avg / total 0.982190 0.980863 0.981450 17140\n", "\n", "Classification report for turbine 25, turbine category 4\n", " precision recall f1-score support\n", "\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988994 0.990629 0.989811 16327\n", " 20.0 0.829620 0.778598 0.803299 813\n", "\n", "avg / total 0.981434 0.980572 0.980964 17140\n", "\n", "Classification report for turbine 25, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.988837 0.992834 0.990831 16327\n", " 20 0.843373 0.774908 0.807692 813\n", "\n", "avg / total 0.981937 0.982497 0.982144 17140\n", "\n", "Classification report for turbine 25, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991441 0.936547 0.963213 16327\n", " 20.0 0.779904 0.400984 0.529651 813\n", "\n", "avg / total 0.981408 0.911144 0.942647 17140\n", "\n", "Classification report for turbine 25, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.988793 0.988914 0.988854 16327\n", " 20.0 0.841121 0.774908 0.806658 813\n", "\n", "avg / total 0.981788 0.978763 0.980211 17140\n", "\n", "Classification report for turbine 25, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.318182 0.037234 0.066667 188\n", " 11 0.000000 0.000000 0.000000 147\n", " 12 0.000000 0.000000 0.000000 148\n", " 13 0.021277 0.006536 0.010000 153\n", " 14 0.000000 0.000000 0.000000 143\n", " 15 0.000000 0.000000 0.000000 151\n", " 16 0.000000 0.000000 0.000000 135\n", " 17 0.000000 0.000000 0.000000 146\n", " 18 0.090909 0.007634 0.014085 131\n", " 19 0.919552 0.986214 0.951717 15160\n", " 20 0.615495 0.672414 0.642697 638\n", "\n", "avg / total 0.840611 0.897841 0.866627 17140\n", "\n", "Classification report for turbine 25, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 186\n", " 11 0.000000 0.000000 0.000000 103\n", " 12 0.000000 0.000000 0.000000 37\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 31\n", " 15 0.000000 0.000000 0.000000 31\n", " 16 0.000000 0.000000 0.000000 31\n", " 17 0.000000 0.000000 0.000000 29\n", " 18 0.000000 0.000000 0.000000 29\n", " 19 0.972843 0.992343 0.982496 16064\n", " 20 0.534045 0.702988 0.606980 569\n", "\n", "avg / total 0.929499 0.953384 0.940968 17140\n", "\n", "Classification report for turbine 25, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989705 0.983340 0.986513 16327\n", " 20.0 0.818418 0.776138 0.796717 813\n", "\n", "avg / total 0.981581 0.973512 0.977510 17140\n", "\n", "Classification report for turbine 25, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 19\n", " 11 0.000000 0.000000 0.000000 108\n", " 12 0.000000 0.000000 0.000000 124\n", " 13 0.000000 0.000000 0.000000 122\n", " 14 0.000000 0.000000 0.000000 129\n", " 15 0.021739 0.007812 0.011494 128\n", " 16 0.014706 0.007752 0.010152 129\n", " 17 0.000000 0.000000 0.000000 115\n", " 18 0.000000 0.000000 0.000000 126\n", " 19 0.937304 0.968578 0.952684 15435\n", " 20 0.693299 0.763121 0.726536 705\n", "\n", "avg / total 0.872856 0.903734 0.887962 17140\n", "\n", "Classification report for turbine 25, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.988837 0.992834 0.990831 16327\n", " 20 0.843373 0.774908 0.807692 813\n", "\n", "avg / total 0.981937 0.982497 0.982144 17140\n", "\n", "Classification report for turbine 25, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.988837 0.992834 0.990831 16327\n", " 20 0.843373 0.774908 0.807692 813\n", "\n", "avg / total 0.981937 0.982497 0.982144 17140\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 25, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.990207 0.995833 0.993012 15839\n", " 20 0.945500 0.880092 0.911624 1301\n", "\n", "avg / total 0.986813 0.987048 0.986834 17140\n", "\n", "Classification report for turbine 25, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 63\n", " 12 0.000000 0.000000 0.000000 64\n", " 13 0.000000 0.000000 0.000000 62\n", " 14 0.000000 0.000000 0.000000 65\n", " 15 0.000000 0.000000 0.000000 61\n", " 16 0.000000 0.000000 0.000000 61\n", " 17 0.000000 0.000000 0.000000 57\n", " 18 0.000000 0.000000 0.000000 60\n", " 19 0.973947 0.997364 0.985516 15555\n", " 20 0.787428 0.876611 0.829630 1086\n", "\n", "avg / total 0.933774 0.960677 0.946948 17140\n", "\n", "Classification report for turbine 25, turbine category 2\n", " precision recall f1-score support\n", "\n", " 19 0.990207 0.995833 0.993012 15839\n", " 20 0.945500 0.880092 0.911624 1301\n", "\n", "avg / total 0.986813 0.987048 0.986834 17140\n", "\n", "Classification report for turbine 25, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 92\n", " 11 0.000000 0.000000 0.000000 96\n", " 12 0.000000 0.000000 0.000000 85\n", " 13 0.000000 0.000000 0.000000 99\n", " 14 0.000000 0.000000 0.000000 89\n", " 15 0.000000 0.000000 0.000000 85\n", " 16 0.000000 0.000000 0.000000 89\n", " 17 0.000000 0.000000 0.000000 89\n", " 18 0.000000 0.000000 0.000000 87\n", " 19 0.959300 0.995691 0.977157 15316\n", " 20 0.729529 0.870681 0.793879 1013\n", "\n", "avg / total 0.900330 0.941190 0.920090 17140\n", "\n", "Classification report for turbine 25, turbine category 4\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990142 0.995581 0.992854 15839\n", " 20.0 0.945183 0.874712 0.908583 1301\n", "\n", "avg / total 0.986729 0.986406 0.986457 17140\n", "\n", "Classification report for turbine 25, turbine category 5\n", " precision recall f1-score support\n", "\n", " 19 0.990207 0.995833 0.993012 15839\n", " 20 0.945500 0.880092 0.911624 1301\n", "\n", "avg / total 0.986813 0.987048 0.986834 17140\n", "\n", "Classification report for turbine 25, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.989997 0.981059 0.985508 15839\n", " 20.0 0.945885 0.644889 0.766910 1301\n", "\n", "avg / total 0.986649 0.955543 0.968916 17140\n", "\n", "Classification report for turbine 25, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990200 0.995139 0.992663 15839\n", " 20.0 0.945500 0.880092 0.911624 1301\n", "\n", "avg / total 0.986807 0.986406 0.986512 17140\n", "\n", "Classification report for turbine 25, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.051282 0.008230 0.014184 243\n", " 11 0.000000 0.000000 0.000000 54\n", " 12 0.000000 0.000000 0.000000 55\n", " 13 0.000000 0.000000 0.000000 59\n", " 14 0.000000 0.000000 0.000000 61\n", " 15 0.000000 0.000000 0.000000 51\n", " 16 0.000000 0.000000 0.000000 60\n", " 17 0.000000 0.000000 0.000000 49\n", " 18 0.000000 0.000000 0.000000 55\n", " 19 0.960756 0.991806 0.976034 15378\n", " 20 0.772647 0.809302 0.790550 1075\n", "\n", "avg / total 0.911176 0.940723 0.925481 17140\n", "\n", "Classification report for turbine 25, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.990178 0.992929 0.991552 15839\n", " 20.0 0.944962 0.857802 0.899275 1301\n", "\n", "avg / total 0.986746 0.982672 0.984547 17140\n", "\n", "Classification report for turbine 25, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 33\n", " 12 0.000000 0.000000 0.000000 31\n", " 13 0.000000 0.000000 0.000000 30\n", " 14 0.000000 0.000000 0.000000 24\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 29\n", " 18 0.000000 0.000000 0.000000 28\n", " 19 0.976337 0.993405 0.984797 15617\n", " 20 0.924855 0.879811 0.901771 1273\n", "\n", "avg / total 0.958273 0.970478 0.964267 17140\n", "\n", "Classification report for turbine 25, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 60\n", " 12 0.000000 0.000000 0.000000 64\n", " 13 0.000000 0.000000 0.000000 66\n", " 14 0.000000 0.000000 0.000000 55\n", " 15 0.000000 0.000000 0.000000 53\n", " 16 0.015152 0.018182 0.016529 55\n", " 17 0.027778 0.016667 0.020833 60\n", " 18 0.000000 0.000000 0.000000 58\n", " 19 0.963684 0.985496 0.974468 15375\n", " 20 0.933278 0.881712 0.906763 1285\n", "\n", "avg / total 0.934562 0.950233 0.942228 17140\n", "\n", "Classification report for turbine 25, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.990207 0.995833 0.993012 15839\n", " 20 0.945500 0.880092 0.911624 1301\n", "\n", "avg / total 0.986813 0.987048 0.986834 17140\n", "\n", "Classification report for turbine 25, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.990207 0.995833 0.993012 15839\n", " 20 0.945500 0.880092 0.911624 1301\n", "\n", "avg / total 0.986813 0.987048 0.986834 17140\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 25, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.958494 0.997288 0.977506 14750\n", " 20 0.977691 0.733473 0.838154 2390\n", "\n", "avg / total 0.961170 0.960502 0.958075 17140\n", "\n", "Classification report for turbine 25, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.958548 0.995525 0.976687 14750\n", " 20.0 0.977866 0.720921 0.829961 2390\n", "\n", "avg / total 0.961242 0.957235 0.956228 17140\n", "\n", "Classification report for turbine 25, turbine category 2\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 14\n", " 11 0.000000 0.000000 0.000000 28\n", " 12 0.000000 0.000000 0.000000 30\n", " 13 0.000000 0.000000 0.000000 29\n", " 14 0.000000 0.000000 0.000000 32\n", " 15 0.000000 0.000000 0.000000 31\n", " 16 0.000000 0.000000 0.000000 27\n", " 17 0.000000 0.000000 0.000000 28\n", " 18 0.000000 0.000000 0.000000 28\n", " 19 0.943246 0.997313 0.969526 14515\n", " 20 0.970998 0.732128 0.834812 2378\n", "\n", "avg / total 0.933504 0.946149 0.936865 17140\n", "\n", "Classification report for turbine 25, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.958527 0.994983 0.976415 14750\n", " 20.0 0.977578 0.729707 0.835649 2390\n", "\n", "avg / total 0.961183 0.957993 0.956786 17140\n", "\n", "Classification report for turbine 25, turbine category 4\n", " precision recall f1-score support\n", "\n", " 19 0.958491 0.997220 0.977472 14750\n", " 20 0.977146 0.733473 0.837954 2390\n", "\n", "avg / total 0.961092 0.960443 0.958018 17140\n", "\n", "Classification report for turbine 25, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 159\n", " 11 0.000000 0.000000 0.000000 59\n", " 12 0.000000 0.000000 0.000000 60\n", " 13 0.000000 0.000000 0.000000 52\n", " 14 0.000000 0.000000 0.000000 26\n", " 15 0.000000 0.000000 0.000000 22\n", " 16 0.000000 0.000000 0.000000 30\n", " 17 0.000000 0.000000 0.000000 24\n", " 18 0.000000 0.000000 0.000000 27\n", " 19 0.938750 0.997300 0.967140 14446\n", " 20 0.891801 0.715436 0.793942 2235\n", "\n", "avg / total 0.907489 0.933839 0.918656 17140\n", "\n", "Classification report for turbine 25, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.012456 0.225806 0.023609 31\n", " 11 0.000000 0.000000 0.000000 99\n", " 12 0.000000 0.000000 0.000000 81\n", " 13 0.000000 0.000000 0.000000 92\n", " 14 0.000000 0.000000 0.000000 79\n", " 15 0.000000 0.000000 0.000000 90\n", " 16 0.000000 0.000000 0.000000 91\n", " 17 0.000000 0.000000 0.000000 93\n", " 18 0.000000 0.000000 0.000000 89\n", " 19 0.914821 0.988601 0.950281 14036\n", " 20 0.953077 0.525223 0.677234 2359\n", "\n", "avg / total 0.880345 0.882264 0.871439 17140\n", "\n", "Classification report for turbine 25, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.959725 0.995186 0.977134 14750\n", " 20.0 0.976322 0.741841 0.843081 2390\n", "\n", "avg / total 0.962040 0.959860 0.958442 17140\n", "\n", "Classification report for turbine 25, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 31\n", " 12 0.000000 0.000000 0.000000 29\n", " 13 0.000000 0.000000 0.000000 32\n", " 14 0.000000 0.000000 0.000000 31\n", " 15 0.000000 0.000000 0.000000 31\n", " 16 0.000000 0.000000 0.000000 28\n", " 17 0.000000 0.000000 0.000000 29\n", " 18 0.000000 0.000000 0.000000 31\n", " 19 0.938296 0.994624 0.965640 14509\n", " 20 0.973105 0.667505 0.791843 2385\n", "\n", "avg / total 0.929673 0.934831 0.927597 17140\n", "\n", "Classification report for turbine 25, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.111111 0.166667 9\n", " 11 0.000000 0.000000 0.000000 32\n", " 12 0.000000 0.000000 0.000000 33\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 30\n", " 15 0.000000 0.000000 0.000000 28\n", " 16 0.000000 0.000000 0.000000 33\n", " 17 0.000000 0.000000 0.000000 29\n", " 18 0.000000 0.000000 0.000000 30\n", " 19 0.943209 0.997380 0.969539 14504\n", " 20 0.970556 0.735269 0.836686 2376\n", "\n", "avg / total 0.932867 0.945974 0.936502 17140\n", "\n", "Classification report for turbine 25, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 27\n", " 11 0.000000 0.000000 0.000000 47\n", " 12 0.000000 0.000000 0.000000 37\n", " 13 0.000000 0.000000 0.000000 24\n", " 14 0.000000 0.000000 0.000000 32\n", " 15 0.000000 0.000000 0.000000 24\n", " 16 0.000000 0.000000 0.000000 34\n", " 17 0.000000 0.000000 0.000000 32\n", " 18 0.000000 0.000000 0.000000 33\n", " 19 0.941953 0.995647 0.968056 14473\n", " 20 0.971063 0.734119 0.836128 2377\n", "\n", "avg / total 0.930053 0.942532 0.933381 17140\n", "\n", "Classification report for turbine 25, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 27\n", " 12 0.000000 0.000000 0.000000 28\n", " 13 0.000000 0.000000 0.000000 31\n", " 14 0.000000 0.000000 0.000000 30\n", " 15 0.000000 0.000000 0.000000 30\n", " 16 0.000000 0.000000 0.000000 29\n", " 17 0.000000 0.000000 0.000000 31\n", " 18 0.000000 0.000000 0.000000 26\n", " 19 0.944077 0.992009 0.967449 14516\n", " 20 0.976058 0.734702 0.838355 2386\n", "\n", "avg / total 0.935419 0.942415 0.936045 17140\n", "\n", "Classification report for turbine 25, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.958494 0.997288 0.977506 14750\n", " 20 0.977691 0.733473 0.838154 2390\n", "\n", "avg / total 0.961170 0.960502 0.958075 17140\n", "\n", "Classification report for turbine 25, turbine category 13\n", " precision recall f1-score support\n", "\n", " 19 0.958494 0.997288 0.977506 14750\n", " 20 0.977691 0.733473 0.838154 2390\n", "\n", "avg / total 0.961170 0.960502 0.958075 17140\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 25, turbine category 0\n", " precision recall f1-score support\n", "\n", " 19 0.986675 0.994388 0.990516 14967\n", " 20 0.959144 0.907501 0.932608 2173\n", "\n", "avg / total 0.983184 0.983372 0.983175 17140\n", "\n", "Classification report for turbine 25, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 521\n", " 11 0.000000 0.000000 0.000000 214\n", " 12 0.000000 0.000000 0.000000 179\n", " 13 0.000000 0.000000 0.000000 180\n", " 14 0.000000 0.000000 0.000000 166\n", " 15 0.000000 0.000000 0.000000 105\n", " 16 0.000000 0.000000 0.000000 78\n", " 17 0.000000 0.000000 0.000000 71\n", " 18 0.000000 0.000000 0.000000 71\n", " 19 0.934612 0.992877 0.962864 14180\n", " 20 0.587278 0.866182 0.699971 1375\n", "\n", "avg / total 0.820321 0.890898 0.852735 17140\n", "\n", "Classification report for turbine 25, turbine category 2\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 9\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.968041 0.994347 0.981018 14683\n", " 20 0.953816 0.907913 0.930299 2161\n", "\n", "avg / total 0.949530 0.966278 0.957682 17140\n", "\n", "Classification report for turbine 25, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.050000 0.052632 0.051282 38\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.967781 0.992371 0.979921 14680\n", " 20 0.940943 0.888472 0.913955 2134\n", "\n", "avg / total 0.946143 0.960677 0.953184 17140\n", "\n", "Classification report for turbine 25, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 47\n", " 11 0.000000 0.000000 0.000000 56\n", " 12 0.000000 0.000000 0.000000 53\n", " 13 0.000000 0.000000 0.000000 64\n", " 14 0.000000 0.000000 0.000000 48\n", " 15 0.000000 0.000000 0.000000 56\n", " 16 0.000000 0.000000 0.000000 57\n", " 17 0.000000 0.000000 0.000000 55\n", " 18 0.000000 0.000000 0.000000 61\n", " 19 0.957369 0.994353 0.975511 14522\n", " 20 0.938746 0.910420 0.924366 2121\n", "\n", "avg / total 0.927304 0.955134 0.940896 17140\n", "\n", "Classification report for turbine 25, turbine category 5\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.986508 0.991715 0.989105 14967\n", " 20.0 0.946633 0.685688 0.795303 2173\n", "\n", "avg / total 0.981453 0.952917 0.964535 17140\n", "\n", "Classification report for turbine 25, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 5\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.250000 0.027778 0.050000 36\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.971817 0.990090 0.980868 14732\n", " 20 0.938412 0.820888 0.875725 2116\n", "\n", "avg / total 0.951662 0.952392 0.951283 17140\n", "\n", "Classification report for turbine 25, turbine category 7\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 6\n", " 11 0.000000 0.000000 0.000000 35\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 35\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.975201 0.994254 0.984635 14792\n", " 20 0.908208 0.909091 0.908649 2057\n", "\n", "avg / total 0.950604 0.967153 0.958799 17140\n", "\n", "Classification report for turbine 25, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 44\n", " 11 0.000000 0.000000 0.000000 66\n", " 12 0.000000 0.000000 0.000000 58\n", " 13 0.000000 0.000000 0.000000 68\n", " 14 0.000000 0.000000 0.000000 64\n", " 15 0.000000 0.000000 0.000000 65\n", " 16 0.000000 0.000000 0.000000 62\n", " 17 0.000000 0.000000 0.000000 56\n", " 18 0.000000 0.000000 0.000000 68\n", " 19 0.953226 0.992048 0.972250 14462\n", " 20 0.939865 0.852374 0.893984 2127\n", "\n", "avg / total 0.920924 0.942824 0.931282 17140\n", "\n", "Classification report for turbine 25, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.269231 0.013725 0.026119 510\n", " 11 0.000000 0.000000 0.000000 191\n", " 12 0.000000 0.000000 0.000000 183\n", " 13 0.000000 0.000000 0.000000 167\n", " 14 0.000000 0.000000 0.000000 161\n", " 15 0.000000 0.000000 0.000000 154\n", " 16 0.000000 0.000000 0.000000 143\n", " 17 0.000000 0.000000 0.000000 154\n", " 18 0.000000 0.000000 0.000000 150\n", " 19 0.901334 0.997796 0.947115 13614\n", " 20 0.763744 0.900175 0.826367 1713\n", "\n", "avg / total 0.800254 0.882905 0.835643 17140\n", "\n", "Classification report for turbine 25, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 116\n", " 11 0.000000 0.000000 0.000000 83\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 70\n", " 14 0.000000 0.000000 0.000000 69\n", " 15 0.000000 0.000000 0.000000 70\n", " 16 0.000000 0.000000 0.000000 69\n", " 17 0.000000 0.000000 0.000000 71\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.947061 0.992690 0.969339 14363\n", " 20 0.925762 0.903118 0.914300 2085\n", "\n", "avg / total 0.906234 0.941715 0.923508 17140\n", "\n", "Classification report for turbine 25, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.333333 0.071429 0.117647 14\n", " 11 0.000000 0.000000 0.000000 56\n", " 12 0.000000 0.000000 0.000000 60\n", " 13 0.062500 0.015873 0.025316 63\n", " 14 0.000000 0.000000 0.000000 85\n", " 15 0.000000 0.000000 0.000000 97\n", " 16 0.000000 0.000000 0.000000 100\n", " 17 0.000000 0.000000 0.000000 97\n", " 18 0.000000 0.000000 0.000000 97\n", " 19 0.948193 0.989012 0.968172 14379\n", " 20 0.925656 0.910612 0.918072 2092\n", "\n", "avg / total 0.908935 0.940957 0.924457 17140\n", "\n", "Classification report for turbine 25, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.986675 0.994388 0.990516 14967\n", " 20 0.959144 0.907501 0.932608 2173\n", "\n", "avg / total 0.983184 0.983372 0.983175 17140\n", "\n", "Classification report for turbine 25, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 127\n", " 11 0.000000 0.000000 0.000000 268\n", " 12 0.000000 0.000000 0.000000 260\n", " 13 0.000000 0.000000 0.000000 247\n", " 14 0.000000 0.000000 0.000000 158\n", " 15 0.000000 0.000000 0.000000 136\n", " 16 0.000000 0.000000 0.000000 139\n", " 17 0.000000 0.000000 0.000000 129\n", " 18 0.000000 0.000000 0.000000 133\n", " 19 0.907916 0.997669 0.950679 13727\n", " 20 0.805447 0.911894 0.855372 1816\n", "\n", "avg / total 0.812465 0.895624 0.852002 17140\n", "\n", "------------------------------------------------------------------------\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Classification report for turbine 25, turbine category 0\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 40\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 35\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 31\n", " 18 0.000000 0.000000 0.000000 35\n", " 19 0.976688 0.998662 0.987552 15690\n", " 20 0.918870 0.892826 0.905660 1129\n", "\n", "avg / total 0.954588 0.972987 0.963663 17140\n", "\n", "Classification report for turbine 25, turbine category 1\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992376 0.996674 0.994520 15934\n", " 20.0 0.978571 0.795191 0.877402 1206\n", "\n", "avg / total 0.991405 0.982497 0.986280 17140\n", "\n", "Classification report for turbine 25, turbine category 2\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991939 0.996172 0.994051 15934\n", " 20.0 0.980769 0.888060 0.932115 1206\n", "\n", "avg / total 0.991153 0.988565 0.989693 17140\n", "\n", "Classification report for turbine 25, turbine category 3\n", " precision recall f1-score support\n", "\n", " 10 0.071429 0.012658 0.021505 79\n", " 11 0.000000 0.000000 0.000000 81\n", " 12 0.000000 0.000000 0.000000 61\n", " 13 0.000000 0.000000 0.000000 71\n", " 14 0.000000 0.000000 0.000000 72\n", " 15 0.000000 0.000000 0.000000 72\n", " 16 0.000000 0.000000 0.000000 72\n", " 17 0.000000 0.000000 0.000000 71\n", " 18 0.000000 0.000000 0.000000 72\n", " 19 0.961815 0.996245 0.978727 15448\n", " 20 0.845941 0.880884 0.863059 1041\n", "\n", "avg / total 0.918575 0.951459 0.934628 17140\n", "\n", "Classification report for turbine 25, turbine category 4\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.992019 0.998494 0.995246 15934\n", " 20.0 0.980769 0.888060 0.932115 1206\n", "\n", "avg / total 0.991227 0.990723 0.990804 17140\n", "\n", "Classification report for turbine 25, turbine category 5\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991834 0.990900 0.991367 15934\n", " 20.0 0.980857 0.892206 0.934433 1206\n", "\n", "avg / total 0.991061 0.983956 0.987361 17140\n", "\n", "Classification report for turbine 25, turbine category 6\n", " precision recall f1-score support\n", "\n", " 10 0.041096 0.127660 0.062176 47\n", " 11 0.000000 0.000000 0.000000 215\n", " 12 0.000000 0.000000 0.000000 215\n", " 13 0.000000 0.000000 0.000000 214\n", " 14 0.000000 0.000000 0.000000 216\n", " 15 0.000000 0.000000 0.000000 213\n", " 16 0.000000 0.000000 0.000000 215\n", " 17 0.000000 0.000000 0.000000 210\n", " 18 0.000000 0.000000 0.000000 216\n", " 19 0.887758 0.996494 0.938989 14263\n", " 20 0.903766 0.774194 0.833977 1116\n", "\n", "avg / total 0.797703 0.879988 0.835848 17140\n", "\n", "Classification report for turbine 25, turbine category 7\n", " precision recall f1-score support\n", "\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991894 0.998368 0.995121 15934\n", " 20.0 0.979798 0.884743 0.929847 1206\n", "\n", "avg / total 0.991043 0.990373 0.990528 17140\n", "\n", "Classification report for turbine 25, turbine category 8\n", " precision recall f1-score support\n", "\n", " 10 0.103448 0.007463 0.013921 402\n", " 11 0.000000 0.000000 0.000000 214\n", " 12 0.000000 0.000000 0.000000 215\n", " 13 0.000000 0.000000 0.000000 215\n", " 14 0.000000 0.000000 0.000000 197\n", " 15 0.000000 0.000000 0.000000 176\n", " 16 0.000000 0.000000 0.000000 179\n", " 17 0.000000 0.000000 0.000000 180\n", " 18 0.000000 0.000000 0.000000 163\n", " 19 0.893002 0.996864 0.942079 14350\n", " 20 0.676664 0.850412 0.753653 849\n", "\n", "avg / total 0.783585 0.876896 0.826388 17140\n", "\n", "Classification report for turbine 25, turbine category 9\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 4\n", " 11 0.000000 0.000000 0.000000 36\n", " 12 0.000000 0.000000 0.000000 36\n", " 13 0.000000 0.000000 0.000000 36\n", " 14 0.000000 0.000000 0.000000 36\n", " 15 0.000000 0.000000 0.000000 36\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.973978 0.997571 0.985634 15646\n", " 20 0.977695 0.875208 0.923617 1202\n", "\n", "avg / total 0.957646 0.971995 0.964493 17140\n", "\n", "Classification report for turbine 25, turbine category 10\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991577 0.997364 0.994462 15934\n", " 20.0 0.979611 0.876451 0.925164 1206\n", "\n", "avg / total 0.990735 0.988856 0.989586 17140\n", "\n", "Classification report for turbine 25, turbine category 11\n", " precision recall f1-score support\n", "\n", " 10 0.000000 0.000000 0.000000 12\n", " 11 0.000000 0.000000 0.000000 71\n", " 12 0.000000 0.000000 0.000000 72\n", " 13 0.000000 0.000000 0.000000 60\n", " 14 0.000000 0.000000 0.000000 47\n", " 15 0.000000 0.000000 0.000000 35\n", " 16 0.000000 0.000000 0.000000 36\n", " 17 0.000000 0.000000 0.000000 36\n", " 18 0.000000 0.000000 0.000000 36\n", " 19 0.978993 0.995613 0.987233 15728\n", " 20 0.811634 0.872890 0.841148 1007\n", "\n", "avg / total 0.946028 0.964877 0.955323 17140\n", "\n", "Classification report for turbine 25, turbine category 12\n", " precision recall f1-score support\n", "\n", " 19 0.991897 0.998682 0.995278 15934\n", " 20 0.980857 0.892206 0.934433 1206\n", "\n", "avg / total 0.991120 0.991190 0.990997 17140\n", "\n", "Classification report for turbine 25, turbine category 13\n", " precision recall f1-score support\n", "\n", " 10.0 0.000000 0.000000 0.000000 0\n", " 11.0 0.000000 0.000000 0.000000 0\n", " 12.0 0.000000 0.000000 0.000000 0\n", " 13.0 0.000000 0.000000 0.000000 0\n", " 14.0 0.000000 0.000000 0.000000 0\n", " 15.0 0.000000 0.000000 0.000000 0\n", " 16.0 0.000000 0.000000 0.000000 0\n", " 17.0 0.000000 0.000000 0.000000 0\n", " 18.0 0.000000 0.000000 0.000000 0\n", " 19.0 0.991942 0.996548 0.994240 15934\n", " 20.0 0.979265 0.861526 0.916630 1206\n", "\n", "avg / total 0.991050 0.987048 0.988779 17140\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", " 'precision', 'predicted', average, warn_for)\n", "C:\\Program Files\\Anaconda3\\lib\\site-packages\\sklearn\\metrics\\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.\n", " 'recall', 'true', average, warn_for)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "------------------------------------------------------------------------\n" ] } ], "source": [ "for x in list1: # filter only data for turbine x\n", " dfx = df[(df[\"turbine_id\"] == x)].copy()\n", " for y in list2:\n", " # copying fault to new column (mins)\n", " # (fault when turbine category id is y)\n", "\n", " def ff(c):\n", " if c[\"TurbineCategory_id\"] == y:\n", " return 0\n", " else:\n", " return 1\n", "\n", " dfx[\"mins\"] = dfx.apply(ff, axis=1)\n", "\n", " dfx = dfx.sort_values(by=\"timestamp\", ascending=False)\n", " # sort values by timestamp in descending order\n", " dfx.reset_index(drop=True, inplace=True) # reset index\n", "\n", " if dfx.loc[0, \"mins\"] == 0:\n", " # assigning value to first cell if it's not 0\n", " dfx.set_value(0, \"mins\", 0)\n", " else:\n", " dfx.set_value(0, \"mins\", 999999999)\n", "\n", " for i, e in enumerate(dfx[\"mins\"]):\n", " # using previous value's row to evaluate time\n", " if e == 1:\n", " dfx.at[i, \"mins\"] = dfx.at[i - 1, \"mins\"] + 10\n", "\n", " dfx = dfx.sort_values(by=\"timestamp\") # sort in ascending order\n", " dfx.reset_index(drop=True, inplace=True) # reset index\n", " dfx[\"hours\"] = dfx[\"mins\"].astype(np.int64)\n", " # convert to hours, then round to nearest hour\n", " dfx[\"hours\"] = dfx[\"hours\"] / 60\n", " dfx[\"hours\"] = round(dfx[\"hours\"]).astype(np.int64)\n", "\n", " def f11(c): # > 48 hours - label as 'normal' (9999)\n", " if c[\"hours\"] > 48:\n", " return 9999\n", " else:\n", " return c[\"hours\"]\n", "\n", " dfx[\"hours\"] = dfx.apply(f11, axis=1)\n", "\n", " def f22(\n", " c,\n", " ):\n", " # filter out curtailment - curtailed when turbine is pitching\n", " # outside 0 deg<= normal <= 3.5deg b/w\n", " # 90 % power and 10 % power\n", " if (\n", " 0 <= c[\"pitch\"] <= 3.5\n", " or c[\"hours\"] != 9999\n", " or (\n", " (c[\"pitch\"] > 3.5 or c[\"pitch\"] < 0)\n", " and (\n", " c[\"ap_av\"] <= (0.1 * dfx[\"ap_av\"].max())\n", " or c[\"ap_av\"] >= (0.9 * dfx[\"ap_av\"].max())\n", " )\n", " )\n", " ):\n", " return \"normal\"\n", " else:\n", " return \"curtailed\"\n", "\n", " dfx[\"curtailment\"] = dfx.apply(f22, axis=1)\n", "\n", " def f3(\n", " c,\n", " ):\n", " # filter unusual readings, i.e. for normal operation,\n", " # power <= 0 in operating wind speeds, power > 100...\n", " # before cut-in, runtime < 600 and other downtime categories\n", " if c[\"hours\"] == 9999 and (\n", " (\n", " 3 < c[\"ws_av\"] < 25\n", " and (\n", " c[\"ap_av\"] <= 0\n", " or c[\"runtime\"] < 600\n", " or c[\"EnvironmentalCategory_id\"] > 1\n", " or c[\"GridCategory_id\"] > 1\n", " or c[\"InfrastructureCategory_id\"] > 1\n", " or c[\"AvailabilityCategory_id\"] == 2\n", " or 12 <= c[\"TurbineCategory_id\"] <= 15\n", " or 21 <= c[\"TurbineCategory_id\"] <= 22\n", " )\n", " )\n", " or (c[\"ws_av\"] < 3 and c[\"ap_av\"] > 100)\n", " ):\n", " return \"unusual\"\n", " else:\n", " return \"normal\"\n", "\n", " dfx[\"unusual\"] = dfx.apply(f3, axis=1)\n", "\n", " def f4(c): # round 'before fault' classes to 6 hour intervals\n", " if c[\"hours\"] == 0: # 'faulty'\n", " return 10\n", " elif 1 <= c[\"hours\"] <= 6: # 'up to 6 hours before fault'\n", " return 11\n", " elif 7 <= c[\"hours\"] <= 12: # 'up to 12 hours before fault'\n", " return 12\n", " elif 13 <= c[\"hours\"] <= 18: # 'up to 18 hours before fault'\n", " return 13\n", " elif 19 <= c[\"hours\"] <= 24: # 'up to 24 hours before fault'\n", " return 14\n", " elif 25 <= c[\"hours\"] <= 30: # 'up to 30 hours before fault'\n", " return 15\n", " elif 31 <= c[\"hours\"] <= 36: # 'up to 36 hours before fault'\n", " return 16\n", " elif 37 <= c[\"hours\"] <= 42: # 'up to 42 hours before fault'\n", " return 17\n", " elif 43 <= c[\"hours\"] <= 48: # 'up to 48 hours before fault'\n", " return 18\n", " else:\n", " return 19 # 'normal'\n", "\n", " dfx[\"hours6\"] = dfx.apply(f4, axis=1)\n", "\n", " def f5(c): # change label for unusual and curtailed data (20)\n", " if c[\"unusual\"] == \"unusual\" or c[\"curtailment\"] == \"curtailed\":\n", " return 20\n", " else:\n", " return c[\"hours6\"]\n", "\n", " dfx[\"hours_%s\" % y] = dfx.apply(f5, axis=1)\n", "\n", " dfx = dfx.drop(\"hours6\", axis=1) # drop unnecessary columns\n", " dfx = dfx.drop(\"hours\", axis=1)\n", " dfx = dfx.drop(\"mins\", axis=1)\n", " dfx = dfx.drop(\"curtailment\", axis=1)\n", " dfx = dfx.drop(\"unusual\", axis=1)\n", "\n", " # separate features from classes for classification\n", " features = [\n", " \"ap_av\",\n", " \"ws_av\",\n", " \"wd_av\",\n", " \"pitch\",\n", " \"ap_max\",\n", " \"ap_dev\",\n", " \"reactive_power\",\n", " \"rs_av\",\n", " \"gen_sp\",\n", " \"nac_pos\",\n", " ]\n", " classes = [col for col in dfx.columns if \"hours\" in col] # labels\n", " list6 = features + classes # list of columns to copy into new df\n", " df2 = dfx[list6].copy()\n", " df2 = df2.dropna() # drop NaNs\n", " X = df2[features]\n", " # convert features to array of size [n_samples,n_features]\n", " X = preprocessing.normalize(X) # normalise features to values b/w 0 and 1\n", " Y = df2[classes]\n", " Y = Y.as_matrix() # convert from pd dataframe to array\n", " tscv = TimeSeriesSplit(n_splits=5)\n", " # five-fold cross-validation using time series split\n", "\n", " rf = RandomForestClassifier(criterion=\"entropy\", n_jobs=-1)\n", " # define classifier\n", " for train_index, test_index in tscv.split(X):\n", " # looping for each cross-validation fold\n", " X_train, X_test = X[train_index], X[test_index]\n", " # split train and test sets\n", " Y_train, Y_test = Y[train_index], Y[test_index]\n", " rf1 = rf.fit(X_train, Y_train) # fit to classifier and predict\n", " Yp = rf1.predict(X_test)\n", " for m in list4:\n", " # loop for each label to find performance scores\n", " # (because multilabel is not supported)\n", " Yt = Y_test[:, m]\n", " Ypr = Yp[:, m]\n", " print(\n", " \"Classification report for turbine %s, turbine category %s\"\n", " % (x, m)\n", " )\n", " print(classification_report(Yt, Ypr, digits=6))\n", " print(\"-----------------------------------------------------------\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.2" } }, "nbformat": 4, "nbformat_minor": 2 }