Random forest classifier optimisation#
import numpy as np
import pandas as pd
from imblearn.over_sampling import RandomOverSampler
from sklearn import preprocessing
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import (
classification_report,
f1_score,
precision_score,
recall_score,
)
from sklearn.model_selection import TimeSeriesSplit
# import data
df = pd.read_csv("data/SCADA_downtime_merged.csv", skip_blank_lines=True)
list1 = list(df["turbine_id"].unique()) # list of turbines to plot
list1 = sorted(list1, key=int) # sort turbines in ascending order
list2 = list(df["TurbineCategory_id"].unique()) # list of categories
list2 = [g for g in list2 if g >= 0] # remove NaN from list
list2 = sorted(list2, key=int) # sort categories in ascending order
list2 = [m for m in list2 if m not in (1, 12, 13, 14, 15, 17, 21, 22)]
# categories to remove
list4 = list(range(0, 14))
list5 = list(zip(list4, list2))
e_p, e_r, e_f = [], [], []
# empty list to hold optimal n values for all turbines
pre, rec, f1s = [], [], []
for x in list1: # filter only data for turbine x
dfx = df[(df["turbine_id"] == x)].copy()
for y in list2:
# copying fault to new column (mins)
# (fault when turbine category id is y)
def ff(c):
if c["TurbineCategory_id"] == y:
return 0
else:
return 1
dfx["mins"] = dfx.apply(ff, axis=1)
dfx = dfx.sort_values(by="timestamp", ascending=False)
# sort values by timestamp in descending order
dfx.reset_index(drop=True, inplace=True) # reset index
if dfx.loc[0, "mins"] == 0:
# assigning value to first cell if it's not 0
dfx.set_value(0, "mins", 0)
else:
dfx.set_value(0, "mins", 999999999)
for i, e in enumerate(dfx["mins"]):
# using previous value's row to evaluate time
if e == 1:
dfx.at[i, "mins"] = dfx.at[i - 1, "mins"] + 10
dfx = dfx.sort_values(by="timestamp") # sort in ascending order
dfx.reset_index(drop=True, inplace=True) # reset index
dfx["hours"] = dfx["mins"].astype(np.int64)
# convert to hours, then round to nearest hour
dfx["hours"] = dfx["hours"] / 60
dfx["hours"] = round(dfx["hours"]).astype(np.int64)
def f11(c): # > 48 hours - label as normal (9999)
if c["hours"] > 48:
return 9999
else:
return c["hours"]
dfx["hours"] = dfx.apply(f11, axis=1)
def f22(
c,
):
# filter out curtailment - curtailed when turbine is pitching
# outside 0 deg <= normal <= 3.5 deg
if (
0 <= c["pitch"] <= 3.5
or c["hours"] != 9999
or (
(c["pitch"] > 3.5 or c["pitch"] < 0)
and (
c["ap_av"] <= (0.1 * dfx["ap_av"].max())
or c["ap_av"] >= (0.9 * dfx["ap_av"].max())
)
)
):
return "normal"
else:
return "curtailed"
dfx["curtailment"] = dfx.apply(f22, axis=1)
def f3(
c,
):
# filter unusual readings, i.e., for normal operation,
# power <= 0 in operating wind speeds, power > 100...
# before cut-in, runtime < 600 and other downtime categories
if c["hours"] == 9999 and (
(
3 < c["ws_av"] < 25
and (
c["ap_av"] <= 0
or c["runtime"] < 600
or c["EnvironmentalCategory_id"] > 1
or c["GridCategory_id"] > 1
or c["InfrastructureCategory_id"] > 1
or c["AvailabilityCategory_id"] == 2
or 12 <= c["TurbineCategory_id"] <= 15
or 21 <= c["TurbineCategory_id"] <= 22
)
)
or (c["ws_av"] < 3 and c["ap_av"] > 100)
):
return "unusual"
else:
return "normal"
dfx["unusual"] = dfx.apply(f3, axis=1)
def f4(c): # round to 6 hour intervals
if c["hours"] == 0:
return 10
elif 1 <= c["hours"] <= 6:
return 11
elif 7 <= c["hours"] <= 12:
return 12
elif 13 <= c["hours"] <= 18:
return 13
elif 19 <= c["hours"] <= 24:
return 14
elif 25 <= c["hours"] <= 30:
return 15
elif 31 <= c["hours"] <= 36:
return 16
elif 37 <= c["hours"] <= 42:
return 17
elif 43 <= c["hours"] <= 48:
return 18
else:
return 19
dfx["hours6"] = dfx.apply(f4, axis=1)
def f5(c): # change label for unusual and curtailed data (20)
if c["unusual"] == "unusual" or c["curtailment"] == "curtailed":
return 20
else:
return c["hours6"]
dfx["hours_%s" % y] = dfx.apply(f5, axis=1)
dfx = dfx.drop("hours6", axis=1) # drop unnecessary columns
dfx = dfx.drop("hours", axis=1)
dfx = dfx.drop("mins", axis=1)
dfx = dfx.drop("curtailment", axis=1)
dfx = dfx.drop("unusual", axis=1)
# separate features from classes for classification
features = [
"ap_av",
"ws_av",
"wd_av",
"pitch",
"ap_max",
"ap_dev",
"reactive_power",
"rs_av",
"gen_sp",
"nac_pos",
]
classes = [col for col in dfx.columns if "hours" in col]
list6 = features + classes # list of columns to copy into new df
df2 = dfx[list6].copy()
df2 = df2.dropna() # drop NaNs
X = df2[features]
X = preprocessing.normalize(X) # normalise features to values b/w 0 and 1
Y = df2[classes]
Y = Y.as_matrix() # convert from pd dataframe to np array
tscv = TimeSeriesSplit(n_splits=5)
# cross validation using time series split
myList = list(range(1, 100))
# evaluating optimal number of trees
# creating odd list of n
est = list(filter(lambda x: x % 2 != 0, myList))
# subsetting just the odd ones
p, r, f = [], [], []
for e in est:
rf = RandomForestClassifier(
criterion="entropy", n_jobs=-1, n_estimators=e
)
p1, r1, f1 = [], [], []
for m, n in list5:
Ym = Y[:, m]
p2, r2, f2 = [], [], []
for train_index, test_index in tscv.split(X):
# looping for each cross validation fold
X_train, X_test = (X[train_index], X[test_index])
# split train and test sets
Y_train, Y_test = Ym[train_index], Ym[test_index]
if len(set(Y_train)) > 1:
ros = RandomOverSampler()
Xt, Yt = ros.fit_sample(X_train, Y_train)
else:
Xt, Yt = X_train, Y_train
rf1 = rf.fit(Xt, Yt) # fit to classifier and predict
Yp = rf1.predict(X_test)
p_s = precision_score(
Y_test[:, m], Yp[:, m], average="weighted"
)
r_s = recall_score(Y_test[:, m], Yp[:, m], average="weighted")
f_s = f1_score(Y_test[:, m], Yp[:, m], average="weighted")
p2.append(p_s), r2.append(r_s), f2.append(f_s)
(p1.append(np.mean(p2)),)
(r1.append(np.mean(r2)),)
f1.append(np.mean(f2))
p.append(np.mean(p1)), r.append(np.mean(r1)), f.append(np.mean(f1))
(e_p.append(neighbours[p.index(max(p))]),)
(e_r.append(neighbours[r.index(max(r))]),)
e_f.append(neighbours[f.index(max(f))])
(pre.append(max(p)),)
(rec.append(max(r)),)
f1s.append(max(f))
print(
"Classification report for turbine {}, turbine category {}".format(
x, n
)
)
print(classification_report(Y_test, Yp, digits=6))
print("----------------------------------------------------------------")
Classification report for turbine 1, turbine category 2.0
precision recall f1-score support
19 0.986154 0.995586 0.990848 16311
20 0.918919 0.781609 0.844720 1044
avg / total 0.982110 0.982714 0.982057 17355
Classification report for turbine 1, turbine category 2.0
precision recall f1-score support
19 0.976265 0.996085 0.986076 15072
20 0.970157 0.840123 0.900469 2283
avg / total 0.975461 0.975569 0.974814 17355
Classification report for turbine 1, turbine category 2.0
precision recall f1-score support
19 0.933597 0.935399 0.934497 9845
20 0.915098 0.912783 0.913939 7510
avg / total 0.925592 0.925612 0.925601 17355
Classification report for turbine 1, turbine category 2.0
precision recall f1-score support
19 0.990683 0.994477 0.992576 13579
20 0.979860 0.966367 0.973067 3776
avg / total 0.988328 0.988361 0.988331 17355
Classification report for turbine 1, turbine category 2.0
precision recall f1-score support
19 0.985028 0.996286 0.990625 14000
20 0.983725 0.936811 0.959695 3355
avg / total 0.984776 0.984788 0.984646 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.968403 0.994881 0.981463 16019
20 0.905345 0.779482 0.837713 1043
avg / total 0.948264 0.965140 0.956254 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 249
11 0.000000 0.000000 0.000000 192
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.071429 0.006452 0.011834 155
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.903939 0.986536 0.943433 14260
20 0.635925 0.690897 0.662272 1527
avg / total 0.799326 0.871449 0.833563 17355
Classification report for turbine 1, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.844371 0.906552 0.874357 9845
20 0.884068 0.686418 0.772806 7510
avg / total 0.861549 0.811294 0.830413 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 84
11 0.045455 0.055556 0.050000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970482 0.986835 0.978590 13293
20 0.957805 0.941192 0.949426 3690
avg / total 0.947079 0.956093 0.951517 17355
Classification report for turbine 1, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.955467 0.989135 0.972010 13622
20 0.913920 0.909554 0.911732 3140
avg / total 0.915303 0.940939 0.927891 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 4.0
precision recall f1-score support
19 0.986291 0.996812 0.991523 16311
20 0.940230 0.783525 0.854754 1044
avg / total 0.983520 0.983982 0.983296 17355
Classification report for turbine 1, turbine category 4.0
precision recall f1-score support
19 0.984193 0.995555 0.989841 15072
20 0.968231 0.894437 0.929872 2283
avg / total 0.982093 0.982253 0.981952 17355
Classification report for turbine 1, turbine category 4.0
precision recall f1-score support
19 0.945232 0.934383 0.939776 9845
20 0.915256 0.929028 0.922091 7510
avg / total 0.932261 0.932066 0.932123 17355
Classification report for turbine 1, turbine category 4.0
precision recall f1-score support
19 0.988873 0.994845 0.991850 13579
20 0.981050 0.959746 0.970281 3776
avg / total 0.987171 0.987208 0.987157 17355
Classification report for turbine 1, turbine category 4.0
precision recall f1-score support
19 0.984192 0.996143 0.990131 14000
20 0.983046 0.933234 0.957492 3355
avg / total 0.983970 0.983982 0.983822 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 5.0
precision recall f1-score support
10 0.226994 0.560606 0.323144 66
11 0.015394 0.224299 0.028812 107
12 0.020468 0.097222 0.033816 72
13 0.010638 0.033898 0.016194 59
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.977245 0.804418 0.882449 16070
20 0.778761 0.358818 0.491277 981
avg / total 0.949987 0.769173 0.846483 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.966858 0.983280 0.975000 15072
20 0.961887 0.696452 0.807927 2283
avg / total 0.966204 0.945549 0.953022 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.887364 0.939462 0.912670 9845
20 0.916704 0.826498 0.869267 7510
avg / total 0.900060 0.890579 0.893888 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 5.0
precision recall f1-score support
10 0.009009 0.016260 0.011594 123
11 0.166667 0.003257 0.006390 307
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 252
14 0.076923 0.003968 0.007547 252
15 0.000000 0.000000 0.000000 233
16 0.000000 0.000000 0.000000 184
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.871345 0.990148 0.926955 11977
20 0.879704 0.869400 0.874521 3415
avg / total 0.778562 0.854624 0.812096 17355
Classification report for turbine 1, turbine category 5.0
precision recall f1-score support
10 0.111111 0.053763 0.072464 93
11 0.000000 0.000000 0.000000 43
12 0.013889 0.027778 0.018519 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.959595 0.968839 0.964195 13703
20 0.945937 0.884498 0.914186 3264
avg / total 0.936197 0.931662 0.933660 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 6.0
precision recall f1-score support
10 0.590909 0.658228 0.622754 316
11 0.144444 0.125517 0.134317 725
12 0.110553 0.065282 0.082090 674
13 0.062112 0.016863 0.026525 593
14 0.033058 0.013986 0.019656 572
15 0.012766 0.005556 0.007742 540
16 0.095694 0.039139 0.055556 511
17 0.032609 0.006579 0.010949 456
18 0.000000 0.000000 0.000000 432
19 0.748451 0.905797 0.819641 12006
20 0.414254 0.350943 0.379980 530
avg / total 0.558792 0.659637 0.602480 17355
Classification report for turbine 1, turbine category 6.0
precision recall f1-score support
10 0.255495 0.853211 0.393235 109
11 0.009901 0.022727 0.013793 88
12 0.022857 0.055556 0.032389 72
13 0.006711 0.013889 0.009050 72
14 0.029630 0.055556 0.038647 72
15 0.005780 0.013889 0.008163 72
16 0.004202 0.013889 0.006452 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.943256 0.923252 0.933147 14476
20 0.950098 0.664371 0.781951 2178
avg / total 0.907957 0.859579 0.879414 17355
Classification report for turbine 1, turbine category 6.0
precision recall f1-score support
10 0.163158 0.607843 0.257261 51
11 0.000000 0.000000 0.000000 53
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.811115 0.766969 0.788424 9591
20 0.876472 0.783477 0.827370 7408
avg / total 0.822854 0.760069 0.789632 17355
Classification report for turbine 1, turbine category 6.0
precision recall f1-score support
10 0.300595 0.926606 0.453933 109
11 0.006667 0.013889 0.009009 72
12 0.000000 0.000000 0.000000 72
13 0.012048 0.013889 0.012903 72
14 0.000000 0.000000 0.000000 72
15 0.041667 0.027778 0.033333 72
16 0.000000 0.000000 0.000000 67
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.968856 0.965942 0.967397 13301
20 0.910863 0.827336 0.867092 3446
avg / total 0.925537 0.910631 0.916670 17355
Classification report for turbine 1, turbine category 6.0
precision recall f1-score support
10 0.050794 0.355556 0.088889 45
11 0.006928 0.041667 0.011881 72
12 0.013699 0.027778 0.018349 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.006369 0.013889 0.008734 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.954549 0.928550 0.941370 13548
20 0.923104 0.810107 0.862922 3186
avg / total 0.914864 0.874849 0.893677 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 7.0
precision recall f1-score support
19 0.986203 0.994789 0.990477 16311
20 0.905765 0.782567 0.839671 1044
avg / total 0.981364 0.982022 0.981406 17355
Classification report for turbine 1, turbine category 7.0
precision recall f1-score support
19 0.971290 0.996616 0.983790 15072
20 0.973016 0.805519 0.881380 2283
avg / total 0.971517 0.971478 0.970318 17355
Classification report for turbine 1, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 65
11 0.000000 0.000000 0.000000 88
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.906679 0.922100 0.914324 9525
20 0.875196 0.935592 0.904386 7173
avg / total 0.859343 0.892769 0.875604 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 27
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.933324 0.993991 0.962703 12815
20 0.950556 0.937791 0.944130 3649
avg / total 0.889030 0.931144 0.909373 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.978938 0.992643 0.985743 14000
20 0.981266 0.905514 0.941869 3355
avg / total 0.979388 0.975799 0.977261 17355
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 71
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.960965 0.991954 0.976213 15908
20 0.879271 0.765114 0.818230 1009
avg / total 0.931963 0.953731 0.942391 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 224
11 0.000000 0.000000 0.000000 260
12 0.111111 0.004425 0.008511 226
13 0.000000 0.000000 0.000000 211
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.877460 0.989788 0.930245 13514
20 0.847772 0.838119 0.842918 2020
avg / total 0.783383 0.868338 0.822585 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 8.0
precision recall f1-score support
10 0.000436 0.001095 0.000623 913
11 0.001403 0.025000 0.002656 80
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.784869 0.726046 0.754312 8673
20 0.855935 0.662352 0.746803 7185
avg / total 0.746619 0.637223 0.686183 17355
Classification report for turbine 1, turbine category 8.0
precision recall f1-score support
10 0.071429 0.007576 0.013699 132
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.960754 0.981495 0.971014 13294
20 0.941078 0.925570 0.933259 3641
avg / total 0.933919 0.946067 0.939698 17355
Classification report for turbine 1, turbine category 8.0
precision recall f1-score support
10 0.134328 0.065217 0.087805 138
11 0.021739 0.012346 0.015748 324
12 0.000000 0.000000 0.000000 324
13 0.000000 0.000000 0.000000 324
14 0.000000 0.000000 0.000000 324
15 0.000000 0.000000 0.000000 324
16 0.000000 0.000000 0.000000 324
17 0.000000 0.000000 0.000000 324
18 0.000000 0.000000 0.000000 304
19 0.800272 0.974442 0.878811 11464
20 0.937666 0.889029 0.912700 3181
avg / total 0.701966 0.807375 0.748787 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.983471 0.952057 0.967509 16311
20 0.900836 0.722222 0.801701 1044
avg / total 0.978500 0.938231 0.957535 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 80
11 0.000000 0.000000 0.000000 109
12 0.000000 0.000000 0.000000 86
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.962751 0.979326 0.970968 14753
20 0.772947 0.844327 0.807062 1895
avg / total 0.902806 0.924690 0.913516 17355
Classification report for turbine 1, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 117
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 126
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.686125 0.770854 0.726026 8859
20 0.887937 0.687373 0.774887 7389
avg / total 0.728283 0.686142 0.700519 17355
Classification report for turbine 1, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987764 0.986892 0.987328 13579
20 0.982369 0.944386 0.963003 3776
avg / total 0.986591 0.977643 0.982035 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.964912 0.990200 0.977392 13775
20 0.960935 0.913546 0.936642 3285
avg / total 0.947758 0.958859 0.953065 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 10.0
precision recall f1-score support
10 0.251121 0.315493 0.279650 710
11 0.320546 0.386434 0.350419 2919
12 0.130556 0.209121 0.160752 1798
13 0.076923 0.115836 0.092452 1364
14 0.068659 0.075488 0.071912 1126
15 0.089666 0.062967 0.073981 937
16 0.042623 0.033079 0.037249 786
17 0.046875 0.028340 0.035324 741
18 0.074212 0.059524 0.066061 672
19 0.539968 0.390352 0.453129 6074
20 0.150794 0.083333 0.107345 228
avg / total 0.290822 0.259695 0.268711 17355
Classification report for turbine 1, turbine category 10.0
precision recall f1-score support
10 0.046386 0.349593 0.081905 123
11 0.152042 0.386740 0.218273 905
12 0.062432 0.155313 0.089062 734
13 0.025702 0.062682 0.036456 686
14 0.039565 0.064309 0.048990 622
15 0.054945 0.065359 0.059701 612
16 0.043548 0.045918 0.044702 588
17 0.038532 0.036458 0.037467 576
18 0.036585 0.028463 0.032017 527
19 0.766573 0.509219 0.611939 10196
20 0.864815 0.261478 0.401548 1786
avg / total 0.558491 0.366004 0.425597 17355
Classification report for turbine 1, turbine category 10.0
precision recall f1-score support
10 0.014229 0.240000 0.026866 150
11 0.086643 0.127660 0.103226 376
12 0.021008 0.014245 0.016978 351
13 0.009302 0.006173 0.007421 324
14 0.021898 0.009259 0.013015 324
15 0.023438 0.009259 0.013274 324
16 0.050420 0.019417 0.028037 309
17 0.020202 0.007042 0.010444 284
18 0.010152 0.007937 0.008909 252
19 0.595705 0.602057 0.598864 7971
20 0.821133 0.623767 0.708970 6690
avg / total 0.594953 0.523135 0.552588 17355
Classification report for turbine 1, turbine category 10.0
precision recall f1-score support
10 0.130259 0.295413 0.180797 545
11 0.207217 0.342980 0.258349 1624
12 0.078947 0.087488 0.082999 1063
13 0.061372 0.057955 0.059614 880
14 0.049531 0.056231 0.052669 658
15 0.044199 0.049922 0.046886 641
16 0.092910 0.065972 0.077157 576
17 0.047619 0.023985 0.031902 542
18 0.015267 0.008214 0.010681 487
19 0.685113 0.631830 0.657393 8602
20 0.653631 0.404145 0.499466 1737
avg / total 0.444934 0.410429 0.421371 17355
Classification report for turbine 1, turbine category 10.0
precision recall f1-score support
10 0.273526 0.274214 0.273869 795
11 0.224557 0.396435 0.286710 2076
12 0.069261 0.069859 0.069558 1274
13 0.070362 0.064769 0.067450 1019
14 0.048951 0.035354 0.041056 792
15 0.033708 0.023659 0.027804 634
16 0.042857 0.028090 0.033937 534
17 0.003968 0.002053 0.002706 487
18 0.040000 0.023041 0.029240 434
19 0.621456 0.555772 0.586782 8203
20 0.310580 0.411021 0.353810 1107
avg / total 0.368050 0.361798 0.360564 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 11.0
precision recall f1-score support
19 0.987366 0.996567 0.991945 16311
20 0.937220 0.800766 0.863636 1044
avg / total 0.984349 0.984788 0.984226 17355
Classification report for turbine 1, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 664
11 0.000000 0.000000 0.000000 419
12 0.000000 0.000000 0.000000 360
13 0.000000 0.000000 0.000000 360
14 0.000000 0.000000 0.000000 259
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 208
18 0.000000 0.000000 0.000000 180
19 0.866287 0.995937 0.926599 13290
20 0.471098 0.826712 0.600184 1183
avg / total 0.695492 0.819015 0.750476 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 11.0
precision recall f1-score support
10 0.021941 0.891892 0.042829 37
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 15
18 0.000000 0.000000 0.000000 0
19 0.868798 0.768591 0.815628 9615
20 0.898305 0.865364 0.881527 7472
avg / total 0.868133 0.800288 0.831496 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 11.0
precision recall f1-score support
10 0.508264 0.217314 0.304455 566
11 0.000000 0.000000 0.000000 252
12 0.019231 0.003968 0.006579 252
13 0.000000 0.000000 0.000000 252
14 0.121212 0.015873 0.028070 252
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.090909 0.011905 0.021053 252
18 0.000000 0.000000 0.000000 252
19 0.849598 0.976372 0.908584 11681
20 0.832791 0.910091 0.869726 3092
avg / total 0.740139 0.826851 0.777224 17355
Classification report for turbine 1, turbine category 11.0
precision recall f1-score support
10 0.537092 0.234153 0.326126 773
11 0.106383 0.006859 0.012887 729
12 0.000000 0.000000 0.000000 482
13 0.040000 0.002857 0.005333 350
14 0.000000 0.000000 0.000000 303
15 0.000000 0.000000 0.000000 250
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 216
18 0.011765 0.004630 0.006645 216
19 0.820236 0.973855 0.890469 11704
20 0.682997 0.896030 0.775143 2116
avg / total 0.665775 0.776837 0.710288 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 16.0
precision recall f1-score support
19 0.986944 0.996444 0.991671 16311
20 0.934611 0.794061 0.858622 1044
avg / total 0.983796 0.984270 0.983668 17355
Classification report for turbine 1, turbine category 16.0
precision recall f1-score support
19 0.982460 0.995953 0.989160 15072
20 0.970617 0.882611 0.924524 2283
avg / total 0.980902 0.981043 0.980657 17355
Classification report for turbine 1, turbine category 16.0
precision recall f1-score support
19 0.873295 0.936719 0.903896 9845
20 0.908315 0.821838 0.862915 7510
avg / total 0.888449 0.887007 0.886162 17355
Classification report for turbine 1, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975860 0.993501 0.984602 13387
20 0.945250 0.962821 0.953954 3658
avg / total 0.951977 0.969288 0.960555 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 57
11 0.000000 0.000000 0.000000 132
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.916737 0.993689 0.953663 13152
20 0.947248 0.892879 0.919261 3258
avg / total 0.872547 0.920657 0.895277 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 32
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 216
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 216
19 0.885872 0.996720 0.938033 14633
20 0.909091 0.811623 0.857597 998
avg / total 0.799207 0.887064 0.840225 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 18.0
precision recall f1-score support
10 0.066667 0.083333 0.074074 12
11 0.017094 0.027778 0.021164 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.030000 0.041667 0.034884 72
15 0.000000 0.000000 0.000000 72
16 0.009901 0.013889 0.011561 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.948806 0.943857 0.946325 14570
20 0.937885 0.831589 0.881544 2197
avg / total 0.915560 0.898070 0.906394 17355
Classification report for turbine 1, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 20
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.166667 0.027778 0.047619 108
16 0.000000 0.000000 0.000000 108
17 0.034483 0.009259 0.014599 108
18 0.000000 0.000000 0.000000 108
19 0.732357 0.729420 0.730885 8977
20 0.906284 0.779424 0.838080 7494
avg / total 0.771408 0.714088 0.740331 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 25
11 0.025000 0.013889 0.017857 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.056604 0.020833 0.030457 144
19 0.913644 0.964798 0.938524 12556
20 0.937984 0.935395 0.936688 3622
avg / total 0.857438 0.893518 0.874892 17355
Classification report for turbine 1, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.047619 0.027778 0.035088 36
19 0.962735 0.970672 0.966687 13707
20 0.979424 0.922756 0.950246 3353
avg / total 0.949694 0.944973 0.947152 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 19.0
precision recall f1-score support
19 0.985560 0.995892 0.990699 16311
20 0.923253 0.772031 0.840897 1044
avg / total 0.981812 0.982426 0.981688 17355
Classification report for turbine 1, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 710
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.943517 0.997333 0.969679 14622
20 0.754081 0.825360 0.788112 1735
avg / total 0.870322 0.922789 0.895766 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.936765 0.881767 0.908434 9845
20 0.877381 0.883222 0.880292 7510
avg / total 0.911068 0.882397 0.896256 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989057 0.991752 0.990403 13579
20 0.980769 0.958951 0.969738 3776
avg / total 0.987254 0.984615 0.985906 17355
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.983366 0.992357 0.987841 14000
20 0.971760 0.923100 0.946805 3355
avg / total 0.981123 0.978969 0.979908 17355
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 1, turbine category 20.0
precision recall f1-score support
19 0.985072 0.995218 0.990119 16311
20 0.910959 0.764368 0.831250 1044
avg / total 0.980614 0.981331 0.980562 17355
Classification report for turbine 1, turbine category 20.0
precision recall f1-score support
19 0.976725 0.996749 0.986635 15072
20 0.975177 0.843189 0.904393 2283
avg / total 0.976521 0.976549 0.975816 17355
Classification report for turbine 1, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8763
19 0.731371 0.994994 0.843054 7191
20 0.146857 0.793719 0.247855 1401
avg / total 0.314897 0.476347 0.369326 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 20.0
precision recall f1-score support
10 0.092683 0.060317 0.073077 315
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.962261 0.987220 0.974581 13224
20 0.842869 0.932099 0.885241 3240
avg / total 0.892252 0.927341 0.909194 17355
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 1, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.963334 0.982720 0.972930 13715
20 0.973935 0.915173 0.943640 3348
avg / total 0.949171 0.953155 0.950910 17355
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.953964 0.983172 0.968348 16461
20 0.971255 0.834065 0.897447 3646
avg / total 0.943399 0.942448 0.941814 20399
Classification report for turbine 2, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 57
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.929003 0.990940 0.958972 17549
20 0.874121 0.617050 0.723427 2217
avg / total 0.894210 0.919555 0.903615 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 151
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 149
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 119
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.912521 0.980214 0.945157 15718
20 0.903886 0.878098 0.890805 3470
avg / total 0.856880 0.904652 0.879801 20399
Classification report for turbine 2, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 84
11 0.000000 0.000000 0.000000 40
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.086957 0.055556 0.067797 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.955387 0.985793 0.970352 16119
20 0.958345 0.889857 0.922832 3904
avg / total 0.938497 0.949360 0.943491 20399
Classification report for turbine 2, turbine category 2.0
precision recall f1-score support
10 0.057143 0.250000 0.093023 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962780 0.986117 0.974309 13614
20 0.972029 0.947912 0.959819 6489
avg / total 0.951774 0.959753 0.955598 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.961950 0.995140 0.978263 16462
20 0.974770 0.901207 0.936546 3644
avg / total 0.950423 0.964067 0.956760 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 279
11 0.000000 0.000000 0.000000 276
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 236
14 0.000000 0.000000 0.000000 216
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 216
19 0.881817 0.991387 0.933398 16603
20 0.683384 0.676031 0.679687 1673
avg / total 0.773769 0.862346 0.815448 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 3.0
precision recall f1-score support
10 0.037815 0.450000 0.069767 20
11 0.019841 0.138889 0.034722 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.984724 0.960429 0.972425 16780
20 0.850963 0.813953 0.832047 3311
avg / total 0.948217 0.922839 0.935087 20399
Classification report for turbine 2, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.967091 0.954758 0.960885 16467
20 0.964521 0.857325 0.907769 3932
avg / total 0.966596 0.935977 0.950647 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 3.0
precision recall f1-score support
10 0.005128 0.011628 0.007117 86
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.949934 0.970287 0.960003 13395
20 0.940849 0.932986 0.936901 6342
avg / total 0.916303 0.927251 0.921696 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 4.0
precision recall f1-score support
19 0.979653 0.994864 0.987200 16745
20 0.974661 0.905309 0.938706 3654
avg / total 0.978759 0.978822 0.978513 20399
Classification report for turbine 2, turbine category 4.0
precision recall f1-score support
19 0.967778 0.992540 0.980003 18096
20 0.926630 0.740339 0.823075 2303
avg / total 0.963133 0.964067 0.962286 20399
Classification report for turbine 2, turbine category 4.0
precision recall f1-score support
19 0.989173 0.985401 0.987284 16782
20 0.933442 0.949959 0.941628 3617
avg / total 0.979291 0.979117 0.979188 20399
Classification report for turbine 2, turbine category 4.0
precision recall f1-score support
19 0.970588 0.993988 0.982149 16467
20 0.971994 0.873856 0.920316 3932
avg / total 0.970859 0.970832 0.970230 20399
Classification report for turbine 2, turbine category 4.0
precision recall f1-score support
19 0.985007 0.988284 0.986643 13827
20 0.975176 0.968351 0.971751 6572
avg / total 0.981840 0.981862 0.981845 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 5.0
precision recall f1-score support
10 0.233766 0.835714 0.365340 280
11 0.007042 0.050314 0.012355 159
12 0.001842 0.006944 0.002911 144
13 0.009296 0.048611 0.015608 144
14 0.006303 0.020833 0.009677 144
15 0.003247 0.006944 0.004425 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.004484 0.006944 0.005450 144
19 0.905993 0.807616 0.853981 15573
20 0.951189 0.449837 0.610810 3379
avg / total 0.852655 0.703564 0.758503 20399
Classification report for turbine 2, turbine category 5.0
precision recall f1-score support
10 0.019569 0.103627 0.032922 193
11 0.008621 0.002525 0.003906 396
12 0.013699 0.005051 0.007380 396
13 0.000000 0.000000 0.000000 396
14 0.004425 0.002667 0.003328 375
15 0.078431 0.012346 0.021333 324
16 0.000000 0.000000 0.000000 296
17 0.017241 0.003472 0.005780 288
18 0.000000 0.000000 0.000000 288
19 0.834911 0.924276 0.877324 15649
20 0.752137 0.489433 0.592992 1798
avg / total 0.708982 0.753615 0.726314 20399
Classification report for turbine 2, turbine category 5.0
precision recall f1-score support
10 0.636620 0.361022 0.460754 626
11 0.028846 0.021544 0.024666 557
12 0.056452 0.014862 0.023529 471
13 0.008475 0.002188 0.003478 457
14 0.026316 0.017812 0.021244 393
15 0.000000 0.000000 0.000000 360
16 0.000000 0.000000 0.000000 329
17 0.013333 0.003257 0.005236 307
18 0.084112 0.031250 0.045570 288
19 0.823328 0.923700 0.870631 14076
20 0.687023 0.781065 0.731032 2535
avg / total 0.677214 0.747341 0.708176 20399
Classification report for turbine 2, turbine category 5.0
precision recall f1-score support
10 0.177137 0.421569 0.249456 408
11 0.008929 0.002519 0.003929 397
12 0.011173 0.005051 0.006957 396
13 0.000000 0.000000 0.000000 396
14 0.024793 0.007732 0.011788 388
15 0.024691 0.006645 0.010471 301
16 0.012500 0.003968 0.006024 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 229
19 0.825064 0.915892 0.868109 14089
20 0.809619 0.736554 0.771360 3291
avg / total 0.705389 0.760282 0.729676 20399
Classification report for turbine 2, turbine category 5.0
precision recall f1-score support
10 0.045372 0.471698 0.082781 53
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.960579 0.947512 0.954001 13527
20 0.947444 0.840301 0.890662 6243
avg / total 0.927058 0.886710 0.905415 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 6.0
precision recall f1-score support
10 0.909091 0.004078 0.008120 2452
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.935681 0.990741 0.962424 16093
20 0.274947 0.705008 0.395609 1278
avg / total 0.864669 0.826266 0.785028 20399
Classification report for turbine 2, turbine category 6.0
precision recall f1-score support
10 0.014254 0.028761 0.019062 452
11 0.307692 0.013746 0.026316 291
12 0.000000 0.000000 0.000000 184
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 126
18 0.000000 0.000000 0.000000 108
19 0.908833 0.946266 0.927172 16898
20 0.655803 0.650227 0.653003 1764
avg / total 0.814269 0.840924 0.825311 20399
Classification report for turbine 2, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986522 0.976999 0.981738 16782
20 0.938876 0.789881 0.857958 3617
avg / total 0.978074 0.943821 0.959790 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 6.0
precision recall f1-score support
10 0.005618 0.038627 0.009809 233
11 0.000000 0.000000 0.000000 86
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.944895 0.952089 0.948478 16155
20 0.819974 0.559193 0.664929 3421
avg / total 0.885887 0.848228 0.862771 20399
Classification report for turbine 2, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.979741 0.972301 0.976006 13827
20 0.974367 0.937005 0.955321 6572
avg / total 0.978009 0.960929 0.969342 20399
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 7.0
precision recall f1-score support
10 1.000000 0.042424 0.081395 330
11 0.000000 0.000000 0.000000 163
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 68
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.961873 0.994231 0.977784 16468
20 0.833033 0.900065 0.865253 3082
avg / total 0.918551 0.939311 0.921404 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.976968 0.989169 0.983030 18096
20 0.938498 0.689101 0.794692 2303
avg / total 0.972624 0.955292 0.961767 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.988374 0.982779 0.985569 16782
20 0.927528 0.930605 0.929064 3617
avg / total 0.977585 0.973528 0.975550 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.967805 0.991255 0.979390 16467
20 0.959379 0.816887 0.882418 3932
avg / total 0.966181 0.957645 0.960698 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
19 0.976342 0.987922 0.982098 13827
20 0.975165 0.944005 0.959332 6572
avg / total 0.975963 0.973773 0.974763 20399
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 246
11 0.000000 0.000000 0.000000 155
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 67
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.951240 0.995451 0.972843 16266
20 0.924081 0.912980 0.918497 3413
avg / total 0.913121 0.946517 0.929413 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 8.0
precision recall f1-score support
10 0.020408 0.001859 0.003407 538
11 0.000000 0.000000 0.000000 244
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 179
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.895707 0.990351 0.940654 16789
20 0.633641 0.670323 0.651466 1641
avg / total 0.788705 0.869062 0.826684 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.980254 0.973245 0.976737 16782
20 0.916616 0.838817 0.875992 3617
avg / total 0.968971 0.949409 0.958874 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 8.0
precision recall f1-score support
10 0.020325 0.192308 0.036765 26
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.947889 0.988269 0.967658 16197
20 0.868571 0.760000 0.810667 3600
avg / total 0.905944 0.919065 0.911442 20399
Classification report for turbine 2, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 144
12 0.263158 0.034722 0.061350 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.006536 0.006944 0.006734 144
19 0.910408 0.969014 0.938797 12909
20 0.942196 0.946220 0.944203 6322
avg / total 0.870035 0.906760 0.887200 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 61
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.950349 0.992036 0.970745 16323
20 0.919939 0.872056 0.895358 3439
avg / total 0.915546 0.940830 0.927722 20399
Classification report for turbine 2, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 115
11 0.000000 0.000000 0.000000 92
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.947960 0.991175 0.969086 17790
20 0.809740 0.753425 0.780568 1898
avg / total 0.902058 0.934507 0.917768 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981504 0.983375 0.982438 16782
20 0.921841 0.697816 0.794335 3617
avg / total 0.970925 0.932742 0.949085 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 9.0
precision recall f1-score support
10 0.500000 0.041667 0.076923 24
11 0.111111 0.025000 0.040816 40
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.950806 0.990491 0.970243 16196
20 0.952742 0.840237 0.892960 3887
avg / total 0.937252 0.946615 0.940657 20399
Classification report for turbine 2, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.980430 0.981919 0.981174 13827
20 0.974662 0.954047 0.964245 6572
avg / total 0.978572 0.972940 0.975720 20399
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.974016 0.951388 0.962569 16745
20 0.938585 0.384784 0.545807 3654
avg / total 0.967669 0.849895 0.887916 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.968813 0.980217 0.974482 18096
20 0.931892 0.748589 0.830243 2303
avg / total 0.964645 0.954066 0.958197 20399
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 10.0
precision recall f1-score support
10 0.666667 0.285714 0.400000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970744 0.977985 0.974351 16489
20 0.930790 0.944952 0.937817 3615
avg / total 0.949854 0.958086 0.953924 20399
Classification report for turbine 2, turbine category 10.0
precision recall f1-score support
10 0.036364 0.025682 0.030103 623
11 0.122449 0.015190 0.027027 395
12 0.000000 0.000000 0.000000 305
13 0.000000 0.000000 0.000000 222
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.876901 0.956769 0.915096 14943
20 0.728357 0.852209 0.785430 3011
avg / total 0.753353 0.827737 0.787717 20399
Classification report for turbine 2, turbine category 10.0
precision recall f1-score support
10 0.182390 0.034898 0.058586 831
11 0.000000 0.000000 0.000000 432
12 0.000000 0.000000 0.000000 385
13 0.000000 0.000000 0.000000 324
14 0.000000 0.000000 0.000000 314
15 0.000000 0.000000 0.000000 288
16 0.000000 0.000000 0.000000 288
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 288
19 0.814175 0.980611 0.889676 11398
20 0.828634 0.956139 0.887832 5563
avg / total 0.688329 0.810089 0.741616 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 11.0
precision recall f1-score support
19 0.976359 0.993968 0.985085 16745
20 0.969869 0.889710 0.928062 3654
avg / total 0.975197 0.975293 0.974871 20399
Classification report for turbine 2, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 986
11 0.000000 0.000000 0.000000 289
12 0.000000 0.000000 0.000000 260
13 0.000000 0.000000 0.000000 217
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 158
19 0.883094 0.992703 0.934696 16307
20 0.617021 0.872777 0.722946 1462
avg / total 0.750169 0.856120 0.799011 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 11.0
precision recall f1-score support
10 0.172285 0.145110 0.157534 317
11 0.000000 0.000000 0.000000 112
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.032258 0.009259 0.014388 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.925370 0.968361 0.946378 15993
20 0.809267 0.791680 0.800377 3221
avg / total 0.856130 0.886514 0.870872 20399
Classification report for turbine 2, turbine category 11.0
precision recall f1-score support
10 0.007005 0.012461 0.008969 321
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 128
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.908360 0.947620 0.927575 15502
20 0.859088 0.817926 0.838002 3548
avg / total 0.839830 0.862591 0.850795 20399
Classification report for turbine 2, turbine category 11.0
precision recall f1-score support
10 0.566596 0.061808 0.111458 4336
11 0.008772 0.001555 0.002642 643
12 0.000000 0.000000 0.000000 540
13 0.000000 0.000000 0.000000 502
14 0.065217 0.006944 0.012552 432
15 0.019608 0.002315 0.004141 432
16 0.000000 0.000000 0.000000 432
17 0.043478 0.002463 0.004662 406
18 0.037037 0.002653 0.004950 377
19 0.754716 0.962184 0.845915 10604
20 0.239835 0.856047 0.374693 1695
avg / total 0.536310 0.584784 0.495178 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 16.0
precision recall f1-score support
19 0.979473 0.994506 0.986932 16745
20 0.972917 0.904488 0.937456 3654
avg / total 0.978299 0.978381 0.978070 20399
Classification report for turbine 2, turbine category 16.0
precision recall f1-score support
19 0.951776 0.993590 0.972233 18096
20 0.923077 0.604429 0.730517 2303
avg / total 0.948536 0.949654 0.944944 20399
Classification report for turbine 2, turbine category 16.0
precision recall f1-score support
19 0.990333 0.982839 0.986572 16782
20 0.923077 0.955488 0.939003 3617
avg / total 0.978408 0.977989 0.978137 20399
Classification report for turbine 2, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975150 0.994651 0.984804 16452
20 0.896352 0.890200 0.893265 3643
avg / total 0.946546 0.961175 0.953780 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 16.0
precision recall f1-score support
18 0.000000 0.000000 0.000000 0
19 0.982353 0.978303 0.980324 13827
20 0.974292 0.963025 0.968626 6572
avg / total 0.979756 0.973381 0.976555 20399
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 2, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 53
11 0.333333 0.003472 0.006873 288
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.000000 0.000000 0.000000 288
15 0.033333 0.007353 0.012048 272
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.857583 0.985420 0.917068 14678
20 0.935312 0.903670 0.919218 3488
avg / total 0.782148 0.863719 0.817306 20399
Classification report for turbine 2, turbine category 18.0
precision recall f1-score support
10 0.133333 0.080000 0.100000 25
11 0.160494 0.090278 0.115556 144
12 0.012821 0.013889 0.013333 144
13 0.020000 0.006944 0.010309 144
14 0.000000 0.000000 0.000000 144
15 0.008734 0.013889 0.010724 144
16 0.001855 0.006944 0.002928 144
17 0.000000 0.000000 0.000000 144
18 0.007009 0.020833 0.010490 144
19 0.908520 0.900723 0.904604 17013
20 0.888179 0.629244 0.736619 2209
avg / total 0.855549 0.820530 0.835494 20399
Classification report for turbine 2, turbine category 18.0
precision recall f1-score support
10 0.039604 0.210526 0.066667 19
11 0.027972 0.037037 0.031873 108
12 0.021277 0.018519 0.019802 108
13 0.000000 0.000000 0.000000 108
14 0.016949 0.009259 0.011976 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.941235 0.954055 0.947601 15932
20 0.913213 0.916016 0.914612 3584
avg / total 0.895956 0.906613 0.901186 20399
Classification report for turbine 2, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.029046 0.064815 0.040115 108
12 0.028571 0.018519 0.022472 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.021739 0.009259 0.012987 108
16 0.000000 0.000000 0.000000 108
17 0.020408 0.009259 0.012739 108
18 0.000000 0.000000 0.000000 108
19 0.927209 0.962506 0.944528 15656
20 0.936869 0.841751 0.886767 3861
avg / total 0.889476 0.898573 0.893224 20399
Classification report for turbine 2, turbine category 18.0
precision recall f1-score support
10 0.052632 0.083333 0.064516 12
11 0.097561 0.055556 0.070796 72
12 0.029412 0.013889 0.018868 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.062500 0.027778 0.038462 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.947257 0.974230 0.960554 13310
20 0.967167 0.951546 0.959293 6501
avg / total 0.926997 0.939311 0.932954 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 19.0
precision recall f1-score support
19 0.980054 0.994745 0.987345 16745
20 0.974140 0.907225 0.939493 3654
avg / total 0.978995 0.979068 0.978773 20399
Classification report for turbine 2, turbine category 19.0
precision recall f1-score support
19 0.978861 0.992871 0.985817 18096
20 0.936888 0.831524 0.881067 2303
avg / total 0.974123 0.974656 0.973991 20399
Classification report for turbine 2, turbine category 19.0
precision recall f1-score support
19 0.989095 0.983613 0.986346 16782
20 0.925876 0.949682 0.937628 3617
avg / total 0.977885 0.977597 0.977708 20399
Classification report for turbine 2, turbine category 19.0
precision recall f1-score support
19 0.973752 0.993502 0.983528 16467
20 0.970261 0.887843 0.927224 3932
avg / total 0.973079 0.973136 0.972675 20399
Classification report for turbine 2, turbine category 19.0
precision recall f1-score support
19 0.986636 0.987778 0.987206 13827
20 0.974222 0.971850 0.973035 6572
avg / total 0.982636 0.982646 0.982641 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 20.0
precision recall f1-score support
19 0.980158 0.994148 0.987103 16745
20 0.971303 0.907772 0.938464 3654
avg / total 0.978572 0.978675 0.978390 20399
Classification report for turbine 2, turbine category 20.0
precision recall f1-score support
19 0.974905 0.993977 0.984348 18096
20 0.944074 0.798958 0.865475 2303
avg / total 0.971424 0.971959 0.970928 20399
Classification report for turbine 2, turbine category 20.0
precision recall f1-score support
19 0.991882 0.982839 0.987339 16782
20 0.923607 0.962676 0.942737 3617
avg / total 0.979776 0.979264 0.979431 20399
Classification report for turbine 2, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 23
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.959418 0.993757 0.976285 16177
20 0.966511 0.900281 0.932221 3911
avg / total 0.946150 0.960684 0.952953 20399
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 2, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 56
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 99
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.333333 0.013889 0.026667 72
19 0.945255 0.986062 0.965227 13273
20 0.949670 0.967787 0.958643 6395
avg / total 0.913942 0.945046 0.928668 20399
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 62
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 97
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.947256 0.983151 0.964870 16678
20 0.920739 0.934842 0.927737 4374
avg / total 0.911482 0.941842 0.926395 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 41
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.090909 0.027778 0.042553 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.974433 0.974327 0.974380 18385
20 0.891086 0.934804 0.912422 3037
avg / total 0.948207 0.954117 0.951061 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984449 0.971257 0.977809 15969
20 0.942128 0.957281 0.949644 5782
avg / total 0.973199 0.967542 0.970322 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 51
11 0.200000 0.013889 0.025974 72
12 0.285714 0.027778 0.050633 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.967294 0.988822 0.977940 19950
20 0.805810 0.897785 0.849315 1174
avg / total 0.932303 0.955542 0.943061 21751
Classification report for turbine 3, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990509 0.992852 0.991679 19446
20 0.950202 0.918872 0.934274 2305
avg / total 0.986238 0.985012 0.985596 21751
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.910962 0.980460 0.944434 16070
20 0.882379 0.931737 0.906387 4219
avg / total 0.844187 0.905108 0.873574 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977618 0.950625 0.963933 18471
20 0.865415 0.925678 0.894533 2987
avg / total 0.949040 0.934394 0.941417 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.979639 0.964118 0.971816 15969
20 0.944858 0.921653 0.933112 5782
avg / total 0.970393 0.952830 0.961528 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994993 0.988443 0.991707 20507
20 0.863740 0.917203 0.889669 1244
avg / total 0.987486 0.984369 0.985871 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.989573 0.990692 0.990132 19446
20 0.954421 0.908460 0.930874 2305
avg / total 0.985848 0.981978 0.983852 21751
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 4.0
precision recall f1-score support
19 0.982696 0.981219 0.981957 17305
20 0.927326 0.932749 0.930029 4446
avg / total 0.971378 0.971312 0.971343 21751
Classification report for turbine 3, turbine category 4.0
precision recall f1-score support
19 0.992054 0.983284 0.987650 18665
20 0.904030 0.952366 0.927568 3086
avg / total 0.979565 0.978898 0.979125 21751
Classification report for turbine 3, turbine category 4.0
precision recall f1-score support
19 0.987275 0.981401 0.984329 15969
20 0.949464 0.965064 0.957200 5782
avg / total 0.977224 0.977059 0.977118 21751
Classification report for turbine 3, turbine category 4.0
precision recall f1-score support
19 0.995986 0.992149 0.994064 20507
20 0.878307 0.934084 0.905337 1244
avg / total 0.989256 0.988828 0.988989 21751
Classification report for turbine 3, turbine category 4.0
precision recall f1-score support
19 0.991900 0.994909 0.993402 19446
20 0.955922 0.931453 0.943529 2305
avg / total 0.988087 0.988184 0.988117 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 63
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.946055 0.975064 0.960341 16763
20 0.906228 0.906645 0.906437 4349
avg / total 0.910299 0.932739 0.921350 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989824 0.974551 0.982128 18665
20 0.897946 0.935191 0.916190 3086
avg / total 0.976789 0.968967 0.972773 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962601 0.965728 0.964162 15698
20 0.934860 0.907259 0.920853 5758
avg / total 0.942202 0.937152 0.939621 21751
Classification report for turbine 3, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.983586 0.987956 0.985766 20259
20 0.825923 0.920235 0.870532 1191
avg / total 0.961342 0.970576 0.965815 21751
Classification report for turbine 3, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990357 0.992955 0.991654 19446
20 0.956304 0.911497 0.933363 2305
avg / total 0.986749 0.984323 0.985477 21751
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.976192 0.959607 0.967828 17305
20 0.921923 0.871120 0.895802 4446
avg / total 0.965099 0.941520 0.953106 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 49
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.960568 0.978561 0.969481 18098
20 0.882795 0.930317 0.905933 3028
avg / total 0.922140 0.943727 0.932777 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987217 0.967249 0.977131 15969
20 0.936629 0.953476 0.944978 5782
avg / total 0.973770 0.963588 0.968584 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995098 0.989808 0.992446 20507
20 0.864927 0.905949 0.884963 1244
avg / total 0.987653 0.985012 0.986299 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 57
11 0.434783 0.092593 0.152672 108
12 0.285714 0.018519 0.034783 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.947997 0.991233 0.969133 18593
20 0.924283 0.922217 0.923249 2237
avg / total 0.908994 0.942715 0.924309 21751
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 347
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.954079 0.972209 0.963059 16840
20 0.812584 0.913240 0.859976 3988
avg / total 0.887650 0.920142 0.903292 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 7.0
precision recall f1-score support
10 0.825000 0.370787 0.511628 178
11 0.000000 0.000000 0.000000 41
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970604 0.972195 0.971399 18306
20 0.894788 0.929388 0.911760 2974
avg / total 0.945972 0.948324 0.946397 21751
Classification report for turbine 3, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981593 0.971758 0.976651 15969
20 0.940828 0.797475 0.863241 5782
avg / total 0.970757 0.925429 0.946503 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.995379 0.987370 0.991358 20507
20 0.853184 0.915595 0.883288 1244
avg / total 0.987246 0.983265 0.985178 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 14
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.984966 0.993119 0.989026 19329
20 0.874944 0.920755 0.897265 2120
avg / total 0.960567 0.972277 0.966350 21751
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 92
11 0.022599 0.006601 0.010217 606
12 0.002169 0.001852 0.001998 540
13 0.002801 0.001866 0.002240 536
14 0.019608 0.004357 0.007130 459
15 0.000000 0.000000 0.000000 405
16 0.080000 0.005051 0.009501 396
17 0.066667 0.002597 0.005000 385
18 0.000000 0.000000 0.000000 319
19 0.829670 0.917157 0.871223 14775
20 0.676492 0.871834 0.761841 3238
avg / total 0.668087 0.753299 0.706018 21751
Classification report for turbine 3, turbine category 8.0
precision recall f1-score support
10 0.014493 0.250000 0.027397 4
11 0.061538 0.111111 0.079208 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980684 0.972588 0.976619 18532
20 0.837302 0.865050 0.850949 2927
avg / total 0.948329 0.945290 0.946734 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 8.0
precision recall f1-score support
10 0.040541 0.053571 0.046154 56
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 100
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.936372 0.969836 0.952810 15250
20 0.930212 0.932322 0.931266 5733
avg / total 0.901791 0.925842 0.913608 21751
Classification report for turbine 3, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 23
11 0.000000 0.000000 0.000000 72
12 0.096774 0.041667 0.058252 72
13 0.000000 0.000000 0.000000 87
14 0.050000 0.009259 0.015625 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.958008 0.982321 0.970012 19741
20 0.808415 0.884868 0.844916 1216
avg / total 0.915242 0.941198 0.927880 21751
Classification report for turbine 3, turbine category 8.0
precision recall f1-score support
10 0.076923 0.028777 0.041885 139
11 0.034483 0.009259 0.014599 216
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 201
14 0.036232 0.031250 0.033557 160
15 0.038462 0.020833 0.027027 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.031250 0.013889 0.019231 144
19 0.924929 0.968866 0.946388 18083
20 0.884944 0.911574 0.898062 2160
avg / total 0.858395 0.896740 0.876941 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 142
11 0.015873 0.009259 0.011696 216
12 0.015873 0.009259 0.011696 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 216
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 200
17 0.000000 0.000000 0.000000 180
18 0.048780 0.011111 0.018100 180
19 0.896669 0.930494 0.913269 15826
20 0.854220 0.886797 0.870204 4143
avg / total 0.815841 0.846214 0.830626 21751
Classification report for turbine 3, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977732 0.945975 0.961591 18473
20 0.866777 0.878392 0.872546 2985
avg / total 0.949334 0.923958 0.936418 21751
Classification report for turbine 3, turbine category 9.0
precision recall f1-score support
10 0.157895 0.046154 0.071429 195
11 0.000000 0.000000 0.000000 153
12 0.000000 0.000000 0.000000 103
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.947358 0.969297 0.958202 15373
20 0.906349 0.935214 0.920555 5495
avg / total 0.899955 0.921751 0.910433 21751
Classification report for turbine 3, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 14
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.955486 0.982125 0.968622 19692
20 0.801521 0.892464 0.844551 1181
avg / total 0.908557 0.937612 0.922786 21751
Classification report for turbine 3, turbine category 9.0
precision recall f1-score support
10 0.063830 0.028037 0.038961 107
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.967112 0.986934 0.976922 18980
20 0.859553 0.902778 0.880635 2088
avg / total 0.926733 0.948002 0.937195 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 10.0
precision recall f1-score support
10 0.720752 0.825688 0.769660 2507
11 0.115654 0.380145 0.177351 1652
12 0.063743 0.135813 0.086764 1156
13 0.045773 0.109961 0.064639 773
14 0.011082 0.036778 0.017032 571
15 0.015168 0.034739 0.021116 403
16 0.025751 0.037975 0.030691 316
17 0.032258 0.040984 0.036101 244
18 0.006275 0.037037 0.010731 216
19 0.699111 0.227694 0.343510 12082
20 0.430769 0.076461 0.129870 1831
avg / total 0.522838 0.271068 0.312626 21751
Classification report for turbine 3, turbine category 10.0
precision recall f1-score support
10 0.038647 0.615385 0.072727 78
11 0.005495 0.006944 0.006135 288
12 0.000000 0.000000 0.000000 288
13 0.014862 0.025830 0.018868 271
14 0.003534 0.003968 0.003738 252
15 0.006329 0.003968 0.004878 252
16 0.005650 0.003968 0.004662 252
17 0.068182 0.023810 0.035294 252
18 0.000000 0.000000 0.000000 252
19 0.897091 0.892965 0.895023 16957
20 0.779762 0.401686 0.530230 2609
avg / total 0.794266 0.747368 0.762497 21751
Classification report for turbine 3, turbine category 10.0
precision recall f1-score support
10 0.000672 0.111111 0.001337 9
11 0.017241 0.055556 0.026316 72
12 0.007519 0.027778 0.011834 72
13 0.014925 0.027778 0.019417 72
14 0.011765 0.013889 0.012739 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.945613 0.931066 0.938283 15406
20 0.924926 0.654514 0.766572 5760
avg / total 0.914873 0.833249 0.867809 21751
Classification report for turbine 3, turbine category 10.0
precision recall f1-score support
10 0.723810 0.590674 0.650499 386
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 143
18 0.000000 0.000000 0.000000 108
19 0.938707 0.966085 0.952199 19372
20 0.650743 0.698178 0.673626 878
avg / total 0.875149 0.899085 0.886789 21751
Classification report for turbine 3, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976991 0.976889 0.976940 19168
20 0.921305 0.628546 0.747276 2291
avg / total 0.958009 0.927084 0.939634 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 11.0
precision recall f1-score support
19 0.981641 0.982548 0.982094 17305
20 0.931828 0.928475 0.930149 4446
avg / total 0.971459 0.971496 0.971476 21751
Classification report for turbine 3, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1496
11 0.000000 0.000000 0.000000 613
12 0.000000 0.000000 0.000000 424
13 0.000000 0.000000 0.000000 381
14 0.000000 0.000000 0.000000 347
15 0.000000 0.000000 0.000000 324
16 0.000000 0.000000 0.000000 238
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 200
19 0.844529 0.982152 0.908156 15912
20 0.452865 0.918750 0.606686 1600
avg / total 0.651130 0.786079 0.708991 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 11.0
precision recall f1-score support
10 0.022059 0.004505 0.007481 666
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.964699 0.959087 0.961885 15643
20 0.797841 0.941636 0.863795 4866
avg / total 0.872961 0.900556 0.885245 21751
Classification report for turbine 3, turbine category 11.0
precision recall f1-score support
10 0.032258 0.017857 0.022989 56
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 86
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.058824 0.009259 0.016000 108
18 0.000000 0.000000 0.000000 108
19 0.958133 0.981347 0.969601 19729
20 0.818731 0.906355 0.860317 1196
avg / total 0.914458 0.940049 0.926910 21751
Classification report for turbine 3, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 20
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.023529 0.015385 0.018605 130
14 0.005025 0.009259 0.006515 108
15 0.006757 0.009259 0.007812 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.020202 0.018519 0.019324 108
19 0.941610 0.959868 0.950651 18514
20 0.927586 0.833555 0.878060 2259
avg / total 0.898115 0.903866 0.900646 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 16.0
precision recall f1-score support
19 0.982394 0.983473 0.982933 17305
20 0.935396 0.931399 0.933393 4446
avg / total 0.972788 0.972829 0.972807 21751
Classification report for turbine 3, turbine category 16.0
precision recall f1-score support
19 0.992377 0.983391 0.987864 18665
20 0.904762 0.954310 0.928876 3086
avg / total 0.979946 0.979265 0.979494 21751
Classification report for turbine 3, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 64
11 0.000000 0.000000 0.000000 37
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976812 0.979961 0.978384 15819
20 0.913790 0.963255 0.937871 5579
avg / total 0.944794 0.959772 0.952114 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
19 0.995836 0.991174 0.993499 20507
20 0.869467 0.931672 0.899496 1244
avg / total 0.988608 0.987771 0.988123 21751
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
19 0.991234 0.994343 0.992786 19446
20 0.953956 0.925813 0.939674 2305
avg / total 0.987284 0.987081 0.987158 21751
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 3, turbine category 18.0
precision recall f1-score support
10 0.250000 0.074074 0.114286 54
11 0.030303 0.003086 0.005602 324
12 0.000000 0.000000 0.000000 324
13 0.000000 0.000000 0.000000 324
14 0.000000 0.000000 0.000000 324
15 0.000000 0.000000 0.000000 324
16 0.000000 0.000000 0.000000 324
17 0.000000 0.000000 0.000000 324
18 0.000000 0.000000 0.000000 287
19 0.861498 0.973936 0.914273 15232
20 0.819812 0.912276 0.863576 3910
avg / total 0.751741 0.846260 0.795861 21751
Classification report for turbine 3, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.025641 0.055556 0.035088 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.007653 0.083333 0.014019 36
16 0.000000 0.000000 0.000000 36
17 0.005495 0.027778 0.009174 36
18 0.000000 0.000000 0.000000 36
19 0.971327 0.925194 0.947700 18381
20 0.897377 0.889792 0.893568 3076
avg / total 0.947805 0.907958 0.927331 21751
Classification report for turbine 3, turbine category 18.0
precision recall f1-score support
10 0.020000 0.150000 0.035294 20
11 0.018182 0.009259 0.012270 108
12 0.000000 0.000000 0.000000 108
13 0.048780 0.037037 0.042105 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.926789 0.966004 0.945990 15149
20 0.929874 0.874257 0.901208 5718
avg / total 0.890284 0.902993 0.896074 21751
Classification report for turbine 3, turbine category 18.0
precision recall f1-score support
10 0.133333 0.285714 0.181818 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980793 0.977156 0.978971 20224
20 0.826707 0.894481 0.859259 1232
avg / total 0.958806 0.959312 0.958972 21751
Classification report for turbine 3, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975281 0.984342 0.979790 19159
20 0.947850 0.901654 0.924175 2298
avg / total 0.959200 0.962301 0.960671 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 19.0
precision recall f1-score support
19 0.983151 0.981219 0.982184 17305
20 0.927455 0.934548 0.930988 4446
avg / total 0.971767 0.971679 0.971719 21751
Classification report for turbine 3, turbine category 19.0
precision recall f1-score support
19 0.992501 0.985695 0.989087 18665
20 0.916926 0.954958 0.935556 3086
avg / total 0.981779 0.981334 0.981492 21751
Classification report for turbine 3, turbine category 19.0
precision recall f1-score support
19 0.986259 0.979836 0.983037 15969
20 0.945294 0.962297 0.953720 5782
avg / total 0.975369 0.975174 0.975244 21751
Classification report for turbine 3, turbine category 19.0
precision recall f1-score support
19 0.995594 0.991759 0.993673 20507
20 0.872260 0.927653 0.899104 1244
avg / total 0.988540 0.988093 0.988264 21751
Classification report for turbine 3, turbine category 19.0
precision recall f1-score support
19 0.991487 0.994240 0.992862 19446
20 0.950244 0.927983 0.938982 2305
avg / total 0.987117 0.987219 0.987152 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 20.0
precision recall f1-score support
19 0.982923 0.981219 0.982071 17305
20 0.927391 0.933648 0.930509 4446
avg / total 0.971572 0.971496 0.971531 21751
Classification report for turbine 3, turbine category 20.0
precision recall f1-score support
19 0.991252 0.983499 0.987360 18665
20 0.904703 0.947505 0.925609 3086
avg / total 0.978973 0.978392 0.978599 21751
Classification report for turbine 3, turbine category 20.0
precision recall f1-score support
19 0.986487 0.982904 0.984693 15969
20 0.953253 0.962816 0.958011 5782
avg / total 0.977653 0.977564 0.977600 21751
Classification report for turbine 3, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.982669 0.992386 0.987504 20226
20 0.862642 0.937654 0.898585 1219
avg / total 0.962118 0.975357 0.968628 21751
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 3, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 46
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 69
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971672 0.993546 0.982487 19057
20 0.928571 0.928160 0.928365 2255
avg / total 0.947592 0.966714 0.957047 21751
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 50
11 0.048611 0.194444 0.077778 36
12 0.000000 0.000000 0.000000 36
13 0.026042 0.138889 0.043860 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970429 0.853883 0.908433 17794
20 0.880332 0.870208 0.875241 3652
avg / total 0.940391 0.843922 0.888974 21784
Classification report for turbine 4, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 27
11 0.120690 0.043478 0.063927 161
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.016129 0.006944 0.009709 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.922850 0.952938 0.937653 14109
20 0.913227 0.935638 0.924297 6479
avg / total 0.870319 0.895841 0.882737 21784
Classification report for turbine 4, turbine category 2.0
precision recall f1-score support
10 0.050000 0.004255 0.007843 235
11 0.032609 0.027778 0.030000 108
12 0.000000 0.000000 0.000000 108
13 0.004065 0.009259 0.005650 108
14 0.005556 0.009259 0.006944 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.023256 0.009259 0.013245 108
19 0.950488 0.959634 0.955039 17044
20 0.874336 0.903873 0.888859 3641
avg / total 0.890672 0.902222 0.896158 21784
Classification report for turbine 4, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994494 0.980894 0.987647 20622
20 0.829210 0.894148 0.860455 1162
avg / total 0.985677 0.976267 0.980862 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996783 0.989244 0.992999 20360
20 0.927984 0.950140 0.938931 1424
avg / total 0.992286 0.986687 0.989465 21784
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 14
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.947175 0.982639 0.964581 17280
20 0.877884 0.933811 0.904985 3626
avg / total 0.897465 0.934906 0.915784 21784
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.983559 0.957664 0.970438 15117
20 0.928633 0.962202 0.945120 6667
avg / total 0.966749 0.959053 0.962690 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.200000 0.055556 0.086957 36
12 1.000000 0.055556 0.105263 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973057 0.984520 0.978755 17571
20 0.926515 0.935731 0.931100 3921
avg / total 0.953619 0.962725 0.957375 21784
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995211 0.987635 0.991408 20622
20 0.840442 0.915663 0.876442 1162
avg / total 0.986956 0.983795 0.985276 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.995378 0.994352 0.994865 20360
20 0.930021 0.933287 0.931651 1424
avg / total 0.991106 0.990360 0.990733 21784
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 4.0
precision recall f1-score support
19 0.987924 0.981830 0.984867 17997
20 0.916111 0.942963 0.929343 3787
avg / total 0.975439 0.975073 0.975215 21784
Classification report for turbine 4, turbine category 4.0
precision recall f1-score support
19 0.984807 0.973341 0.979041 15117
20 0.941108 0.965952 0.953368 6667
avg / total 0.971433 0.971080 0.971183 21784
Classification report for turbine 4, turbine category 4.0
precision recall f1-score support
19 0.991431 0.988477 0.989952 17791
20 0.949333 0.961933 0.955591 3993
avg / total 0.983714 0.983612 0.983654 21784
Classification report for turbine 4, turbine category 4.0
precision recall f1-score support
19 0.995889 0.986762 0.991304 20622
20 0.797927 0.927711 0.857939 1162
avg / total 0.985329 0.983612 0.984190 21784
Classification report for turbine 4, turbine category 4.0
precision recall f1-score support
19 0.997342 0.995187 0.996263 20360
20 0.933243 0.962079 0.947441 1424
avg / total 0.993152 0.993022 0.993072 21784
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 5
19 0.981910 0.905069 0.941925 17992
20 0.906891 0.910483 0.908684 3787
avg / total 0.968643 0.905802 0.935930 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 28
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 31
19 0.964239 0.954359 0.959274 14833
20 0.915712 0.867169 0.890780 6640
avg / total 0.935682 0.914157 0.924701 21784
Classification report for turbine 4, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.968977 0.982026 0.975458 17525
20 0.937722 0.929922 0.933806 3967
avg / total 0.950297 0.959374 0.954797 21784
Classification report for turbine 4, turbine category 5.0
precision recall f1-score support
10 1.000000 0.000352 0.000704 2838
11 0.000000 0.000000 0.000000 248
12 0.000000 0.000000 0.000000 194
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 168
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.811764 0.980912 0.888358 16869
20 0.472741 0.890295 0.617561 711
avg / total 0.774319 0.788698 0.708171 21784
Classification report for turbine 4, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995977 0.972839 0.984272 20360
20 0.932039 0.876404 0.903366 1424
avg / total 0.991798 0.966535 0.978983 21784
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 6.0
precision recall f1-score support
19 0.984800 0.982775 0.983786 17997
20 0.918933 0.927911 0.923400 3787
avg / total 0.973349 0.973237 0.973289 21784
Classification report for turbine 4, turbine category 6.0
precision recall f1-score support
19 0.984200 0.972481 0.978306 15117
20 0.939243 0.964602 0.951754 6667
avg / total 0.970441 0.970070 0.970179 21784
Classification report for turbine 4, turbine category 6.0
precision recall f1-score support
19 0.989480 0.988590 0.989034 17791
20 0.949364 0.953168 0.951262 3993
avg / total 0.982126 0.982097 0.982111 21784
Classification report for turbine 4, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 228
11 0.000000 0.000000 0.000000 80
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 58
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.984497 0.990193 0.987337 20394
20 0.537736 0.886010 0.669276 772
avg / total 0.940735 0.958410 0.948055 21784
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 131
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.953270 0.994464 0.973431 19508
20 0.832491 0.900078 0.864966 1281
avg / total 0.902626 0.943491 0.922591 21784
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 72
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 173
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.932710 0.965071 0.948615 17063
20 0.803318 0.893452 0.845991 3360
avg / total 0.854480 0.893729 0.873519 21784
Classification report for turbine 4, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981315 0.951908 0.966388 15117
20 0.923529 0.943753 0.933531 6667
avg / total 0.963629 0.949412 0.956332 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 7.0
precision recall f1-score support
10 0.022222 0.034483 0.027027 29
11 0.017241 0.013889 0.015385 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.953694 0.982225 0.967749 17215
20 0.935008 0.910949 0.922821 3964
avg / total 0.923894 0.942068 0.932784 21784
Classification report for turbine 4, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994510 0.983804 0.989128 20622
20 0.788200 0.896730 0.838969 1162
avg / total 0.983505 0.979159 0.981118 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996409 0.994843 0.995625 20360
20 0.936886 0.938202 0.937544 1424
avg / total 0.992518 0.991140 0.991829 21784
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 8.0
precision recall f1-score support
10 0.166364 0.368952 0.229323 496
11 0.028226 0.015590 0.020086 449
12 0.000000 0.000000 0.000000 370
13 0.000000 0.000000 0.000000 307
14 0.000000 0.000000 0.000000 252
15 0.016129 0.003968 0.006369 252
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 243
19 0.875604 0.951643 0.912041 16006
20 0.713857 0.654389 0.682830 2905
avg / total 0.743110 0.795263 0.766899 21784
Classification report for turbine 4, turbine category 8.0
precision recall f1-score support
10 0.004710 0.176471 0.009174 17
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.959852 0.910488 0.934519 14836
20 0.882465 0.874272 0.878350 6355
avg / total 0.911151 0.875275 0.892700 21784
Classification report for turbine 4, turbine category 8.0
precision recall f1-score support
10 0.176818 0.934375 0.297364 320
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.052632 0.010753 0.017857 93
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.958509 0.921145 0.939456 16803
20 0.907838 0.864830 0.885812 3884
avg / total 0.904028 0.878489 0.887026 21784
Classification report for turbine 4, turbine category 8.0
precision recall f1-score support
10 0.029412 0.037736 0.033058 53
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.076923 0.055556 0.064516 36
18 0.000000 0.000000 0.000000 36
19 0.980255 0.971866 0.976042 20331
20 0.714174 0.824640 0.765442 1112
avg / total 0.951527 0.949321 0.950200 21784
Classification report for turbine 4, turbine category 8.0
precision recall f1-score support
10 0.010417 0.058824 0.017699 17
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.040000 0.006944 0.011834 144
18 0.000000 0.000000 0.000000 144
19 0.940997 0.978358 0.959314 19268
20 0.874627 0.870082 0.872348 1347
avg / total 0.886669 0.919253 0.902549 21784
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.960497 0.981139 0.970708 17496
20 0.886759 0.939090 0.912175 3694
avg / total 0.921802 0.947255 0.934313 21784
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984281 0.960971 0.972486 15117
20 0.937354 0.962802 0.949908 6667
avg / total 0.969919 0.961531 0.965576 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 9.0
precision recall f1-score support
10 0.047619 0.003876 0.007168 258
11 0.000000 0.000000 0.000000 322
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 280
14 0.000000 0.000000 0.000000 248
15 0.000000 0.000000 0.000000 201
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.888951 0.984495 0.934287 16059
20 0.874651 0.941803 0.906986 3660
avg / total 0.802845 0.884043 0.841220 21784
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993994 0.971002 0.982363 20622
20 0.763650 0.878657 0.817127 1162
avg / total 0.981707 0.966076 0.973549 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995990 0.988016 0.991987 20360
20 0.926003 0.940309 0.933101 1424
avg / total 0.991415 0.984897 0.988137 21784
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 10.0
precision recall f1-score support
10 0.426060 0.398068 0.411588 1035
11 0.052995 0.036392 0.043152 632
12 0.021277 0.008197 0.011834 488
13 0.010840 0.008547 0.009558 468
14 0.024814 0.022472 0.023585 445
15 0.020000 0.004630 0.007519 432
16 0.056250 0.041667 0.047872 432
17 0.031746 0.009259 0.014337 432
18 0.004082 0.002315 0.002954 432
19 0.814109 0.875541 0.843708 14776
20 0.574608 0.712025 0.635978 2212
avg / total 0.635773 0.688120 0.660064 21784
Classification report for turbine 4, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985191 0.836145 0.904569 15117
20 0.904762 0.575671 0.703639 6667
avg / total 0.960576 0.756427 0.843075 21784
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 91
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977867 0.956095 0.966858 17606
20 0.892723 0.878389 0.885498 3799
avg / total 0.946005 0.925909 0.935848 21784
Classification report for turbine 4, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.041667 0.009259 0.015152 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.953235 0.980447 0.966649 19792
20 0.803206 0.811151 0.807159 1112
avg / total 0.907275 0.932244 0.919534 21784
Classification report for turbine 4, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995467 0.981631 0.988501 20360
20 0.920430 0.901685 0.910961 1424
avg / total 0.990562 0.976405 0.983432 21784
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 4, turbine category 11.0
precision recall f1-score support
10 0.100000 0.004878 0.009302 205
11 0.000000 0.000000 0.000000 124
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.953195 0.971158 0.962092 17405
20 0.789625 0.914997 0.847701 3294
avg / total 0.881926 0.914341 0.896963 21784
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 11.0
precision recall f1-score support
10 0.846154 0.004264 0.008484 5160
11 0.000000 0.000000 0.000000 221
12 0.000000 0.000000 0.000000 190
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.887892 0.970723 0.927462 13560
20 0.205612 0.894469 0.334363 1573
avg / total 0.767967 0.669849 0.603476 21784
Classification report for turbine 4, turbine category 11.0
precision recall f1-score support
10 0.032936 0.543307 0.062106 127
11 0.000000 0.000000 0.000000 124
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.941224 0.950155 0.945669 17073
20 0.807072 0.419006 0.551626 3704
avg / total 0.875096 0.819087 0.835315 21784
Classification report for turbine 4, turbine category 11.0
precision recall f1-score support
10 0.178451 0.321212 0.229437 165
11 0.000000 0.000000 0.000000 179
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.080000 0.011111 0.019512 180
18 0.000000 0.000000 0.000000 180
19 0.925517 0.977596 0.950844 19193
20 0.672762 0.708207 0.690030 987
avg / total 0.847930 0.895933 0.870913 21784
Classification report for turbine 4, turbine category 11.0
precision recall f1-score support
10 0.484177 0.133043 0.208731 1150
11 0.000000 0.000000 0.000000 552
12 0.000000 0.000000 0.000000 540
13 0.021739 0.001880 0.003460 532
14 0.023810 0.001984 0.003663 504
15 0.120000 0.005952 0.011342 504
16 0.000000 0.000000 0.000000 476
17 0.000000 0.000000 0.000000 468
18 0.000000 0.000000 0.000000 436
19 0.804280 0.982069 0.884327 16340
20 0.188168 0.812057 0.305537 282
avg / total 0.635138 0.754407 0.678733 21784
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 16.0
precision recall f1-score support
19 0.986179 0.983275 0.984725 17997
20 0.921615 0.934513 0.928019 3787
avg / total 0.974955 0.974798 0.974867 21784
Classification report for turbine 4, turbine category 16.0
precision recall f1-score support
19 0.985284 0.974400 0.979812 15117
20 0.943371 0.967002 0.955040 6667
avg / total 0.972457 0.972136 0.972230 21784
Classification report for turbine 4, turbine category 16.0
precision recall f1-score support
19 0.988815 0.988815 0.988815 17791
20 0.950163 0.950163 0.950163 3993
avg / total 0.981730 0.981730 0.981730 21784
Classification report for turbine 4, turbine category 16.0
precision recall f1-score support
19 0.994974 0.988750 0.991852 20622
20 0.820294 0.911360 0.863433 1162
avg / total 0.985656 0.984622 0.985002 21784
Classification report for turbine 4, turbine category 16.0
precision recall f1-score support
19 0.996804 0.995678 0.996241 20360
20 0.939185 0.954354 0.946708 1424
avg / total 0.993037 0.992976 0.993003 21784
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 18.0
precision recall f1-score support
10 0.181818 0.070175 0.101266 57
11 0.128571 0.027778 0.045685 324
12 0.018519 0.003086 0.005291 324
13 0.000000 0.000000 0.000000 324
14 0.068182 0.009259 0.016304 324
15 0.081967 0.030864 0.044843 324
16 0.000000 0.000000 0.000000 324
17 0.000000 0.000000 0.000000 319
18 0.000000 0.000000 0.000000 288
19 0.866985 0.966479 0.914032 15781
20 0.819141 0.915169 0.864496 3395
avg / total 0.760629 0.844014 0.798816 21784
Classification report for turbine 4, turbine category 18.0
precision recall f1-score support
10 0.055556 0.142857 0.080000 7
11 0.047297 0.194444 0.076087 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.967985 0.931034 0.949150 14906
20 0.921245 0.939997 0.930526 6583
avg / total 0.940848 0.921502 0.930820 21784
Classification report for turbine 4, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.026316 0.013889 0.018182 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.955319 0.962868 0.959079 17209
20 0.943733 0.942313 0.943022 3987
avg / total 0.927499 0.933162 0.930312 21784
Classification report for turbine 4, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.050000 0.018519 0.027027 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.955053 0.975604 0.965219 19798
20 0.770186 0.899365 0.829778 1103
avg / total 0.907228 0.932290 0.919371 21784
Classification report for turbine 4, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 30
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.058824 0.005556 0.010152 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 176
19 0.939957 0.982807 0.960905 19194
20 0.730825 0.898577 0.806065 1124
avg / total 0.866396 0.912367 0.888333 21784
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 19.0
precision recall f1-score support
19 0.986215 0.981886 0.984046 17997
20 0.915675 0.934777 0.925127 3787
avg / total 0.973952 0.973696 0.973803 21784
Classification report for turbine 4, turbine category 19.0
precision recall f1-score support
19 0.984378 0.975392 0.979864 15117
20 0.945334 0.964902 0.955018 6667
avg / total 0.972429 0.972181 0.972260 21784
Classification report for turbine 4, turbine category 19.0
precision recall f1-score support
19 0.990868 0.987971 0.989417 17791
20 0.947095 0.959429 0.953222 3993
avg / total 0.982844 0.982740 0.982783 21784
Classification report for turbine 4, turbine category 19.0
precision recall f1-score support
19 0.995476 0.992387 0.993929 20622
20 0.871941 0.919966 0.895310 1162
avg / total 0.988887 0.988524 0.988669 21784
Classification report for turbine 4, turbine category 19.0
precision recall f1-score support
19 0.997096 0.995039 0.996067 20360
20 0.931105 0.958567 0.944637 1424
avg / total 0.992782 0.992655 0.992705 21784
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 20.0
precision recall f1-score support
19 0.985336 0.981941 0.983636 17997
20 0.915562 0.930552 0.922996 3787
avg / total 0.973206 0.973008 0.973094 21784
Classification report for turbine 4, turbine category 20.0
precision recall f1-score support
19 0.983468 0.975921 0.979680 15117
20 0.946336 0.962802 0.954498 6667
avg / total 0.972104 0.971906 0.971973 21784
Classification report for turbine 4, turbine category 20.0
precision recall f1-score support
19 0.989411 0.987353 0.988381 17791
20 0.944169 0.952918 0.948523 3993
avg / total 0.981118 0.981041 0.981075 21784
Classification report for turbine 4, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 50
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 77
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.964129 0.990586 0.977178 19970
20 0.781201 0.920000 0.844938 1075
avg / total 0.922395 0.953498 0.937503 21784
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 4, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995786 0.986444 0.991093 20360
20 0.921488 0.939607 0.930459 1424
avg / total 0.990929 0.983382 0.987129 21784
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 28
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 8
19 0.955136 0.993537 0.973958 18878
20 0.931129 0.625926 0.748616 1620
avg / total 0.940031 0.951121 0.942901 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 40
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 56
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.966401 0.984198 0.975218 17593
20 0.901748 0.961237 0.930543 2683
avg / total 0.934344 0.957087 0.945524 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 107
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.111111 0.016129 0.028169 124
14 0.000000 0.000000 0.000000 91
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.953066 0.989493 0.970938 17608
20 0.912786 0.889439 0.900961 2424
avg / total 0.914460 0.942028 0.927725 20786
Classification report for turbine 5, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989154 0.992020 0.990584 19673
20 0.942736 0.798742 0.864786 1113
avg / total 0.986668 0.981670 0.983849 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 2.0
precision recall f1-score support
10 0.500000 0.009709 0.019048 103
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.974341 0.996438 0.985266 19931
20 0.872000 0.704741 0.779499 464
avg / total 0.956206 0.971231 0.962233 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 3.0
precision recall f1-score support
10 0.008929 0.016949 0.011696 59
11 0.005405 0.005556 0.005479 180
12 0.008197 0.011111 0.009434 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.010909 0.016667 0.013187 180
16 0.014574 0.072222 0.024254 180
17 0.038462 0.005556 0.009709 180
18 0.000000 0.000000 0.000000 180
19 0.895637 0.907059 0.901312 17721
20 0.894581 0.579821 0.703603 1566
avg / total 0.831665 0.818003 0.821989 20786
Classification report for turbine 5, turbine category 3.0
precision recall f1-score support
10 0.005051 0.008475 0.006329 118
11 0.000000 0.000000 0.000000 144
12 0.035088 0.013889 0.019900 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.017241 0.006944 0.009901 144
16 0.006250 0.006944 0.006579 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.924013 0.955773 0.939625 16845
20 0.893698 0.881318 0.887465 2671
avg / total 0.864096 0.888050 0.875800 20786
Classification report for turbine 5, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.023810 0.027778 0.025641 36
14 0.350000 0.583333 0.437500 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.974051 0.974974 0.974512 17941
20 0.954715 0.902947 0.928110 2545
avg / total 0.958272 0.953142 0.955568 20786
Classification report for turbine 5, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 25
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973773 0.981009 0.977378 19378
20 0.915523 0.791781 0.849167 1095
avg / total 0.956041 0.956269 0.955906 20786
Classification report for turbine 5, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993878 0.990845 0.992359 20317
20 0.877551 0.733475 0.799071 469
avg / total 0.991253 0.985038 0.987998 20786
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 4.0
precision recall f1-score support
19 0.990746 0.995248 0.992992 19148
20 0.941328 0.891331 0.915648 1638
avg / total 0.986852 0.987059 0.986897 20786
Classification report for turbine 5, turbine category 4.0
precision recall f1-score support
19 0.993979 0.985789 0.989867 18085
20 0.909825 0.960015 0.934246 2701
avg / total 0.983043 0.982440 0.982639 20786
Classification report for turbine 5, turbine category 4.0
precision recall f1-score support
19 0.989618 0.994181 0.991894 18217
20 0.957344 0.926041 0.941433 2569
avg / total 0.985629 0.985760 0.985658 20786
Classification report for turbine 5, turbine category 4.0
precision recall f1-score support
19 0.990403 0.996696 0.993540 19673
20 0.934211 0.829290 0.878629 1113
avg / total 0.987394 0.987732 0.987387 20786
Classification report for turbine 5, turbine category 4.0
precision recall f1-score support
19 0.994260 0.997441 0.995848 20317
20 0.871287 0.750533 0.806415 469
avg / total 0.991485 0.991870 0.991573 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 21
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.954317 0.994539 0.974013 18862
20 0.890168 0.622291 0.732507 1615
avg / total 0.935146 0.950832 0.940769 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 697
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977342 0.984208 0.980763 17794
20 0.690710 0.944694 0.797980 2007
avg / total 0.903353 0.933753 0.916638 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971976 0.992359 0.982062 17930
20 0.975386 0.912568 0.942932 2562
avg / total 0.958649 0.968488 0.963349 20786
Classification report for turbine 5, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976921 0.992170 0.984486 19412
20 0.909958 0.796108 0.849234 1079
avg / total 0.959580 0.967911 0.963493 20786
Classification report for turbine 5, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991945 0.994094 0.993018 20317
20 0.856287 0.609808 0.712329 469
avg / total 0.988884 0.985423 0.986685 20786
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990501 0.985690 0.988090 19148
20 0.945170 0.884005 0.913565 1638
avg / total 0.986929 0.977677 0.982217 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.994308 0.985181 0.989723 18085
20 0.909658 0.917068 0.913348 2701
avg / total 0.983308 0.976330 0.979799 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.989149 0.995773 0.992450 18217
20 0.968929 0.922538 0.945165 2569
avg / total 0.986650 0.986722 0.986606 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.990405 0.996848 0.993616 19673
20 0.939796 0.827493 0.880076 1113
avg / total 0.987695 0.987780 0.987536 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 6.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
19 0.994016 0.997539 0.995775 20317
20 0.892031 0.739872 0.808858 469
avg / total 0.991715 0.991725 0.991557 20786
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 7.0
precision recall f1-score support
19 0.992081 0.994464 0.993271 19148
20 0.933417 0.907204 0.920124 1638
avg / total 0.987458 0.987588 0.987507 20786
Classification report for turbine 5, turbine category 7.0
precision recall f1-score support
19 0.993364 0.985015 0.989172 18085
20 0.905012 0.955942 0.929780 2701
avg / total 0.981883 0.981237 0.981455 20786
Classification report for turbine 5, turbine category 7.0
precision recall f1-score support
19 0.988224 0.995005 0.991603 18217
20 0.962766 0.915921 0.938759 2569
avg / total 0.985077 0.985230 0.985072 20786
Classification report for turbine 5, turbine category 7.0
precision recall f1-score support
19 0.990605 0.996899 0.993742 19673
20 0.938259 0.832884 0.882437 1113
avg / total 0.987802 0.988117 0.987782 20786
Classification report for turbine 5, turbine category 7.0
precision recall f1-score support
19 0.994407 0.997539 0.995970 20317
20 0.876543 0.756930 0.812357 469
avg / total 0.991747 0.992110 0.991827 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1941
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 265
13 0.013514 0.003663 0.005764 273
14 0.010309 0.004630 0.006390 216
15 0.012987 0.004630 0.006826 216
16 0.000000 0.000000 0.000000 185
17 0.000000 0.000000 0.000000 163
18 0.000000 0.000000 0.000000 144
19 0.810011 0.964775 0.880645 16068
20 0.823583 0.847601 0.835420 1063
avg / total 0.668693 0.789281 0.723693 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 8.0
precision recall f1-score support
10 0.007519 0.012658 0.009434 79
11 0.000000 0.000000 0.000000 72
12 0.008772 0.013889 0.010753 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.968532 0.961122 0.964813 17645
20 0.824757 0.921963 0.870655 2486
avg / total 0.920876 0.926248 0.923222 20786
Classification report for turbine 5, turbine category 8.0
precision recall f1-score support
10 0.107527 0.243902 0.149254 41
11 0.000000 0.000000 0.000000 108
12 0.028571 0.009259 0.013986 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 78
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.944126 0.978618 0.961062 17491
20 0.963093 0.867089 0.912573 2528
avg / total 0.911955 0.929472 0.920069 20786
Classification report for turbine 5, turbine category 8.0
precision recall f1-score support
10 0.066265 0.063953 0.065089 172
11 0.000000 0.000000 0.000000 311
12 0.000000 0.000000 0.000000 187
13 0.000000 0.000000 0.000000 167
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 112
19 0.921422 0.981503 0.950514 18327
20 0.742664 0.704497 0.723077 934
avg / total 0.846336 0.897575 0.871097 20786
Classification report for turbine 5, turbine category 8.0
precision recall f1-score support
10 0.047619 0.043478 0.045455 23
11 0.052632 0.013889 0.021978 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.050000 0.006944 0.012195 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.938019 0.989528 0.963085 19194
20 0.805310 0.654676 0.722222 417
avg / total 0.883095 0.927066 0.904098 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 9.0
precision recall f1-score support
10 0.055556 0.023810 0.033333 84
11 0.000000 0.000000 0.000000 103
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 61
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.967084 0.957065 0.962048 18726
20 0.866445 0.855643 0.861010 1524
avg / total 0.934992 0.925046 0.929967 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993503 0.980868 0.987145 18085
20 0.901954 0.940022 0.920595 2701
avg / total 0.981607 0.975560 0.978497 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984577 0.995224 0.989872 18217
20 0.975054 0.882445 0.926441 2569
avg / total 0.983400 0.981285 0.982032 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989452 0.996543 0.992985 19673
20 0.942649 0.812219 0.872587 1113
avg / total 0.986946 0.986674 0.986538 20786
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993966 0.997342 0.995651 20317
20 0.890909 0.731343 0.803279 469
avg / total 0.991641 0.991340 0.991311 20786
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 10.0
precision recall f1-score support
10 0.234133 0.264753 0.248503 627
11 0.000000 0.000000 0.000000 724
12 0.061538 0.007030 0.012618 569
13 0.043011 0.015209 0.022472 526
14 0.018868 0.002008 0.003630 498
15 0.000000 0.000000 0.000000 468
16 0.032258 0.002212 0.004141 452
17 0.000000 0.000000 0.000000 432
18 0.000000 0.000000 0.000000 397
19 0.771504 0.960721 0.855778 14919
20 0.724572 0.685690 0.704595 1174
avg / total 0.605654 0.736938 0.662611 20786
Classification report for turbine 5, turbine category 10.0
precision recall f1-score support
10 0.339227 0.528399 0.413190 581
11 0.032895 0.034364 0.033613 291
12 0.000000 0.000000 0.000000 288
13 0.025862 0.010417 0.014851 288
14 0.000000 0.000000 0.000000 288
15 0.042553 0.020833 0.027972 288
16 0.006250 0.003472 0.004464 288
17 0.015660 0.024306 0.019048 288
18 0.000000 0.000000 0.000000 245
19 0.868421 0.880056 0.874200 15824
20 0.796626 0.803023 0.799812 2117
avg / total 0.753441 0.767824 0.759910 20786
Classification report for turbine 5, turbine category 10.0
precision recall f1-score support
10 0.074766 0.505747 0.130274 174
11 0.000000 0.000000 0.000000 144
12 0.012766 0.020833 0.015831 144
13 0.025316 0.013889 0.017937 144
14 0.014085 0.020833 0.016807 144
15 0.008065 0.006944 0.007463 144
16 0.009901 0.006944 0.008163 144
17 0.000000 0.000000 0.000000 144
18 0.036364 0.013889 0.020101 144
19 0.921199 0.924060 0.922627 17066
20 0.935185 0.548454 0.691417 2394
avg / total 0.865407 0.826662 0.838829 20786
Classification report for turbine 5, turbine category 10.0
precision recall f1-score support
10 0.255507 0.256071 0.255788 453
11 0.027027 0.006135 0.010000 652
12 0.034483 0.005780 0.009901 519
13 0.050000 0.008547 0.014599 468
14 0.039370 0.011574 0.017889 432
15 0.013514 0.002457 0.004158 407
16 0.017857 0.002525 0.004425 396
17 0.000000 0.000000 0.000000 364
18 0.000000 0.000000 0.000000 332
19 0.803312 0.957391 0.873609 15912
20 0.719219 0.562867 0.631510 851
avg / total 0.654219 0.762388 0.701618 20786
Classification report for turbine 5, turbine category 10.0
precision recall f1-score support
10 0.755906 0.379447 0.505263 253
11 0.048000 0.033333 0.039344 180
12 0.019608 0.011173 0.014235 179
13 0.008547 0.006944 0.007663 144
14 0.017094 0.013889 0.015326 144
15 0.020202 0.013889 0.016461 144
16 0.013889 0.013889 0.013889 144
17 0.029851 0.013889 0.018957 144
18 0.013514 0.006944 0.009174 144
19 0.931860 0.956932 0.944229 18993
20 0.593548 0.580442 0.586922 317
avg / total 0.871029 0.888723 0.878909 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 11.0
precision recall f1-score support
10 0.325416 0.467577 0.383754 879
11 0.002088 0.001815 0.001942 551
12 0.138462 0.018480 0.032609 487
13 0.007752 0.002137 0.003350 468
14 0.024048 0.025641 0.024819 468
15 0.021505 0.004577 0.007547 437
16 0.010753 0.005556 0.007326 360
17 0.000000 0.000000 0.000000 344
18 0.000000 0.000000 0.000000 288
19 0.807124 0.898957 0.850569 15627
20 0.365297 0.182440 0.243346 877
avg / total 0.640627 0.704609 0.667692 20786
Classification report for turbine 5, turbine category 11.0
precision recall f1-score support
10 0.206180 0.382789 0.268006 1011
11 0.015873 0.004777 0.007344 628
12 0.068627 0.028283 0.040057 495
13 0.039130 0.022556 0.028617 399
14 0.021212 0.019718 0.020438 355
15 0.004132 0.003086 0.003534 324
16 0.000000 0.000000 0.000000 324
17 0.000000 0.000000 0.000000 324
18 0.000000 0.000000 0.000000 324
19 0.844136 0.918142 0.879585 14965
20 0.656863 0.450214 0.534252 1637
avg / total 0.672792 0.716732 0.690502 20786
Classification report for turbine 5, turbine category 11.0
precision recall f1-score support
10 0.171841 0.652055 0.272000 365
11 0.011321 0.013889 0.012474 216
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 210
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 149
19 0.904097 0.922893 0.913398 16691
20 0.896373 0.545741 0.678431 2219
avg / total 0.824810 0.810930 0.810783 20786
Classification report for turbine 5, turbine category 11.0
precision recall f1-score support
10 0.199324 0.374603 0.260198 315
11 0.013100 0.009375 0.010929 320
12 0.009259 0.004274 0.005848 234
13 0.000000 0.000000 0.000000 216
14 0.011905 0.005495 0.007519 182
15 0.000000 0.000000 0.000000 180
16 0.013699 0.005556 0.007905 180
17 0.000000 0.000000 0.000000 180
18 0.012195 0.005556 0.007634 180
19 0.899904 0.944395 0.921613 17840
20 0.854890 0.565172 0.680477 959
avg / total 0.815457 0.842634 0.826765 20786
Classification report for turbine 5, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.979600 0.961310 0.970369 20031
20 0.878338 0.639309 0.740000 463
avg / total 0.963583 0.940633 0.951606 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 16.0
precision recall f1-score support
19 0.970692 0.994569 0.982485 19148
20 0.910883 0.648962 0.757932 1638
avg / total 0.965979 0.967334 0.964790 20786
Classification report for turbine 5, turbine category 16.0
precision recall f1-score support
19 0.994749 0.984683 0.989691 18085
20 0.903953 0.965198 0.933572 2701
avg / total 0.982951 0.982151 0.982398 20786
Classification report for turbine 5, turbine category 16.0
precision recall f1-score support
19 0.989683 0.995279 0.992473 18217
20 0.965126 0.926431 0.945382 2569
avg / total 0.986648 0.986770 0.986653 20786
Classification report for turbine 5, turbine category 16.0
precision recall f1-score support
19 0.990752 0.996594 0.993665 19673
20 0.932798 0.835580 0.881517 1113
avg / total 0.987649 0.987973 0.987660 20786
Classification report for turbine 5, turbine category 16.0
precision recall f1-score support
19 0.994016 0.997539 0.995775 20317
20 0.874055 0.739872 0.801386 469
avg / total 0.991310 0.991725 0.991389 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 34
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 174
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.922932 0.992927 0.956651 17814
20 0.919005 0.914340 0.916667 1576
avg / total 0.860650 0.920283 0.889370 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 18.0
precision recall f1-score support
10 0.333333 0.076923 0.125000 13
11 0.000000 0.000000 0.000000 72
12 0.280000 0.097222 0.144330 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.959644 0.979546 0.969493 17503
20 0.947349 0.941722 0.944527 2694
avg / total 0.932036 0.947272 0.939364 20786
Classification report for turbine 5, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.949212 0.986954 0.967715 17630
20 0.980287 0.852025 0.911667 2568
avg / total 0.926199 0.942365 0.933416 20786
Classification report for turbine 5, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.043478 0.006944 0.011976 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.019048 0.013889 0.016064 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.933060 0.983653 0.957689 18535
20 0.916838 0.829155 0.870795 1077
avg / total 0.879953 0.920235 0.899290 20786
Classification report for turbine 5, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993276 0.988778 0.991022 20317
20 0.895604 0.695096 0.782713 469
avg / total 0.991072 0.982151 0.986322 20786
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 5, turbine category 19.0
precision recall f1-score support
19 0.969658 0.996396 0.982846 19148
20 0.937838 0.635531 0.757642 1638
avg / total 0.967151 0.967959 0.965099 20786
Classification report for turbine 5, turbine category 19.0
precision recall f1-score support
19 0.992979 0.985292 0.989120 18085
20 0.906371 0.953351 0.929267 2701
avg / total 0.981724 0.981141 0.981343 20786
Classification report for turbine 5, turbine category 19.0
precision recall f1-score support
19 0.988497 0.995334 0.991904 18217
20 0.965207 0.917867 0.940942 2569
avg / total 0.985618 0.985760 0.985605 20786
Classification report for turbine 5, turbine category 19.0
precision recall f1-score support
19 0.990956 0.997001 0.993969 19673
20 0.940584 0.839173 0.886990 1113
avg / total 0.988259 0.988550 0.988241 20786
Classification report for turbine 5, turbine category 19.0
precision recall f1-score support
19 0.993819 0.997194 0.995504 20317
20 0.857500 0.731343 0.789413 469
avg / total 0.990743 0.991196 0.990854 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 20.0
precision recall f1-score support
19 0.992304 0.996553 0.994424 19148
20 0.957584 0.909646 0.932999 1638
avg / total 0.989568 0.989705 0.989583 20786
Classification report for turbine 5, turbine category 20.0
precision recall f1-score support
19 0.995137 0.984518 0.989799 18085
20 0.903248 0.967790 0.934406 2701
avg / total 0.983197 0.982344 0.982601 20786
Classification report for turbine 5, turbine category 20.0
precision recall f1-score support
19 0.989802 0.996322 0.993051 18217
20 0.972642 0.927209 0.949382 2569
avg / total 0.987681 0.987780 0.987654 20786
Classification report for turbine 5, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976064 0.997214 0.986526 19383
20 0.932859 0.831369 0.879195 1103
avg / total 0.959684 0.974021 0.966592 20786
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 5, turbine category 20.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993865 0.996751 0.995306 20317
20 0.898172 0.733475 0.807512 469
avg / total 0.991706 0.990811 0.991069 20786
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 2.0
precision recall f1-score support
19 0.939413 0.985621 0.961963 19334
20 0.817824 0.503835 0.623532 2477
avg / total 0.925605 0.930906 0.923528 21811
Classification report for turbine 6, turbine category 2.0
precision recall f1-score support
19 0.994217 0.987522 0.990858 20195
20 0.856164 0.928218 0.890736 1616
avg / total 0.983989 0.983128 0.983440 21811
Classification report for turbine 6, turbine category 2.0
precision recall f1-score support
19 0.918162 0.969057 0.942923 14252
20 0.934850 0.837148 0.883305 7559
avg / total 0.923946 0.923341 0.922262 21811
Classification report for turbine 6, turbine category 2.0
precision recall f1-score support
19 0.988424 0.992069 0.990243 19795
20 0.919197 0.885913 0.902248 2016
avg / total 0.982025 0.982257 0.982109 21811
Classification report for turbine 6, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.983590 0.995675 0.989596 20347
20 0.887974 0.922156 0.904742 1169
avg / total 0.965162 0.978268 0.971663 21811
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 119
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.932255 0.986464 0.958594 18986
20 0.801278 0.570306 0.666345 2418
avg / total 0.900338 0.921920 0.908307 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993738 0.982322 0.987997 20195
20 0.848433 0.921411 0.883417 1616
avg / total 0.982973 0.977809 0.980249 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 54
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 101
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.889204 0.965881 0.925958 13951
20 0.889393 0.824520 0.855729 7129
avg / total 0.859464 0.887305 0.871969 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984296 0.987926 0.986108 19795
20 0.920609 0.839782 0.878340 2016
avg / total 0.978410 0.974233 0.976147 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994077 0.994222 0.994149 20594
20 0.924978 0.861134 0.891915 1217
avg / total 0.990221 0.986796 0.988445 21811
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 4.0
precision recall f1-score support
19 0.941855 0.987794 0.964278 19334
20 0.846154 0.524021 0.647220 2477
avg / total 0.930987 0.935124 0.928270 21811
Classification report for turbine 6, turbine category 4.0
precision recall f1-score support
19 0.992831 0.987472 0.990144 20195
20 0.853333 0.910891 0.881173 1616
avg / total 0.982495 0.981798 0.982070 21811
Classification report for turbine 6, turbine category 4.0
precision recall f1-score support
19 0.940148 0.969899 0.954792 14252
20 0.939645 0.883582 0.910752 7559
avg / total 0.939974 0.939984 0.939529 21811
Classification report for turbine 6, turbine category 4.0
precision recall f1-score support
19 0.987779 0.992220 0.989995 19795
20 0.920083 0.879464 0.899315 2016
avg / total 0.981522 0.981798 0.981613 21811
Classification report for turbine 6, turbine category 4.0
precision recall f1-score support
19 0.995002 0.995630 0.995316 20594
20 0.925249 0.915366 0.920281 1217
avg / total 0.991110 0.991151 0.991129 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 5.0
precision recall f1-score support
19 0.945574 0.986656 0.965678 19334
20 0.842395 0.556722 0.670394 2477
avg / total 0.933856 0.937830 0.932143 21811
Classification report for turbine 6, turbine category 5.0
precision recall f1-score support
19 0.994712 0.987324 0.991004 20195
20 0.855040 0.934406 0.892963 1616
avg / total 0.984363 0.983403 0.983740 21811
Classification report for turbine 6, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.877683 0.967641 0.920469 14030
20 0.917074 0.776947 0.841215 7487
avg / total 0.879374 0.889139 0.880856 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 5.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987695 0.989391 0.988542 19795
20 0.919439 0.877480 0.897970 2016
avg / total 0.981386 0.979047 0.980171 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 112
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980663 0.993796 0.987186 20310
20 0.835640 0.877384 0.856004 1101
avg / total 0.955357 0.969694 0.962459 21811
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 81
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.935359 0.986936 0.960455 19060
20 0.798235 0.569689 0.664870 2382
avg / total 0.904559 0.924671 0.911925 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 40
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980184 0.976295 0.978235 19911
20 0.763896 0.917939 0.833863 1572
avg / total 0.949855 0.957407 0.953119 21811
Classification report for turbine 6, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.853925 0.965549 0.906313 14252
20 0.918476 0.682630 0.783183 7559
avg / total 0.876296 0.867498 0.863640 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 223
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.200000 0.013889 0.025974 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.956708 0.989844 0.972994 19200
20 0.812269 0.847682 0.829598 1812
avg / total 0.910321 0.941818 0.925523 21811
Classification report for turbine 6, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 26
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980613 0.991187 0.985871 20310
20 0.889655 0.869419 0.879421 1187
avg / total 0.961545 0.970290 0.965885 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 7.0
precision recall f1-score support
19 0.939431 0.985932 0.962120 19334
20 0.821053 0.503835 0.624468 2477
avg / total 0.925987 0.931182 0.923774 21811
Classification report for turbine 6, turbine category 7.0
precision recall f1-score support
19 0.994019 0.987472 0.990735 20195
20 0.855346 0.925743 0.889153 1616
avg / total 0.983744 0.982899 0.983208 21811
Classification report for turbine 6, turbine category 7.0
precision recall f1-score support
19 0.920675 0.968285 0.943880 14252
20 0.933744 0.842704 0.885891 7559
avg / total 0.925204 0.924763 0.923783 21811
Classification report for turbine 6, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 102
11 0.000000 0.000000 0.000000 158
12 0.000000 0.000000 0.000000 92
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 46
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.963656 0.992431 0.977832 19290
20 0.881748 0.899318 0.890447 1907
avg / total 0.929367 0.956352 0.942665 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.983059 0.992773 0.987892 20341
20 0.891286 0.918734 0.904802 1169
avg / total 0.964574 0.975104 0.969806 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 128
11 0.000000 0.000000 0.000000 159
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.911231 0.986485 0.947366 18720
20 0.581230 0.438477 0.499861 2048
avg / total 0.836669 0.887855 0.860043 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 8.0
precision recall f1-score support
10 0.228916 0.033159 0.057927 573
11 0.000000 0.000000 0.000000 250
12 0.076923 0.004630 0.008734 216
13 0.000000 0.000000 0.000000 195
14 0.000000 0.000000 0.000000 180
15 0.125000 0.011111 0.020408 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 169
19 0.917092 0.974776 0.945054 18633
20 0.541741 0.867299 0.666910 1055
avg / total 0.817477 0.875705 0.841389 21811
Classification report for turbine 6, turbine category 8.0
precision recall f1-score support
10 0.129381 0.304982 0.181687 823
11 0.000000 0.000000 0.000000 144
12 0.035714 0.006944 0.011628 144
13 0.000000 0.000000 0.000000 117
14 0.000000 0.000000 0.000000 108
15 0.008000 0.009259 0.008584 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 91
19 0.920188 0.949695 0.934709 13597
20 0.799088 0.677549 0.733317 6463
avg / total 0.815588 0.804411 0.806968 21811
Classification report for turbine 6, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 11
11 0.000000 0.000000 0.000000 64
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973780 0.977855 0.975813 19598
20 0.875177 0.654295 0.748786 1886
avg / total 0.950655 0.935216 0.941553 21811
Classification report for turbine 6, turbine category 8.0
precision recall f1-score support
10 0.298077 0.218310 0.252033 142
11 0.009804 0.003968 0.005650 252
12 0.000000 0.000000 0.000000 252
13 0.033898 0.007937 0.012862 252
14 0.000000 0.000000 0.000000 252
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.896795 0.980273 0.936678 18553
20 0.848548 0.743636 0.792636 1100
avg / total 0.808077 0.872908 0.838592 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 9.0
precision recall f1-score support
19 0.939112 0.986811 0.962371 19334
20 0.829431 0.500606 0.624371 2477
avg / total 0.926656 0.931594 0.923985 21811
Classification report for turbine 6, turbine category 9.0
precision recall f1-score support
19 0.994115 0.987026 0.990558 20195
20 0.851136 0.926980 0.887441 1616
avg / total 0.983522 0.982578 0.982918 21811
Classification report for turbine 6, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.912560 0.969350 0.940098 13964
20 0.897965 0.863323 0.880303 7258
avg / total 0.883060 0.907891 0.894813 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985082 0.990755 0.987911 19795
20 0.919006 0.844246 0.880041 2016
avg / total 0.978975 0.977213 0.977940 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994418 0.994804 0.994611 20594
20 0.922156 0.885785 0.903604 1217
avg / total 0.990386 0.988721 0.989533 21811
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 10.0
precision recall f1-score support
10 0.229730 0.226667 0.228188 75
11 0.000000 0.000000 0.000000 108
12 0.022222 0.009259 0.013072 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.905210 0.981283 0.941712 18539
20 0.771635 0.412773 0.537839 2333
avg / total 0.852851 0.879052 0.858819 21811
Classification report for turbine 6, turbine category 10.0
precision recall f1-score support
10 0.726852 0.216851 0.334043 724
11 0.000000 0.000000 0.000000 221
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 216
14 0.021739 0.004630 0.007634 216
15 0.000000 0.000000 0.000000 216
16 0.071429 0.004630 0.008696 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 203
19 0.908219 0.967973 0.937145 18391
20 0.541004 0.871926 0.667713 976
avg / total 0.815068 0.862501 0.831328 21811
Classification report for turbine 6, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.911895 0.939728 0.925602 14252
20 0.941061 0.699167 0.802277 7559
avg / total 0.922003 0.856357 0.882862 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986039 0.984744 0.985391 19795
20 0.918379 0.775794 0.841086 2016
avg / total 0.979785 0.965430 0.972053 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 10.0
precision recall f1-score support
10 0.009434 0.080000 0.016878 25
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.052632 0.009259 0.015748 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.961973 0.989194 0.975393 19896
20 0.763602 0.793372 0.778203 1026
avg / total 0.913703 0.939801 0.926458 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 11.0
precision recall f1-score support
10 0.765273 0.415116 0.538259 1720
11 0.006421 0.012422 0.008466 322
12 0.000000 0.000000 0.000000 221
13 0.023529 0.018519 0.020725 216
14 0.000000 0.000000 0.000000 201
15 0.000000 0.000000 0.000000 180
16 0.032787 0.011111 0.016598 180
17 0.066667 0.016667 0.026667 180
18 0.008772 0.005556 0.006803 180
19 0.860866 0.897002 0.878563 17748
20 0.600267 0.677225 0.636428 663
avg / total 0.780319 0.783871 0.777438 21811
Classification report for turbine 6, turbine category 11.0
precision recall f1-score support
10 0.003770 1.000000 0.007512 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.992711 0.952622 0.972253 20157
20 0.801233 0.381791 0.517156 1362
avg / total 0.967464 0.904406 0.930819 21811
Classification report for turbine 6, turbine category 11.0
precision recall f1-score support
10 0.098982 0.269231 0.144748 650
11 0.000000 0.000000 0.000000 73
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 101
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.879433 0.954380 0.915375 13459
20 0.877471 0.648207 0.745613 6916
avg / total 0.823860 0.802485 0.805593 21811
Classification report for turbine 6, turbine category 11.0
precision recall f1-score support
10 0.323308 0.061960 0.103990 694
11 0.000000 0.000000 0.000000 155
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 115
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.937567 0.980778 0.958686 18833
20 0.564591 0.736090 0.639034 1330
avg / total 0.854270 0.893723 0.870066 21811
Classification report for turbine 6, turbine category 11.0
precision recall f1-score support
10 0.664865 0.291469 0.405272 422
11 0.040816 0.012346 0.018957 162
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.083333 0.009259 0.016667 108
19 0.954852 0.988480 0.971375 19791
20 0.529924 0.716176 0.609131 680
avg / total 0.896520 0.925038 0.908467 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.926037 0.984990 0.954604 19054
20 0.806995 0.505477 0.621601 2465
avg / total 0.900186 0.917610 0.904190 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 16.0
precision recall f1-score support
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994118 0.987571 0.990834 20195
20 0.858945 0.926980 0.891667 1616
avg / total 0.984103 0.983082 0.983486 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.939258 0.969969 0.954367 14252
20 0.940587 0.881730 0.910208 7559
avg / total 0.939719 0.939388 0.939063 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 16.0
precision recall f1-score support
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.988335 0.992978 0.990651 19795
20 0.929651 0.884921 0.906734 2016
avg / total 0.982911 0.982990 0.982894 21811
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 16.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.995342 0.996164 0.995753 20594
20 0.935726 0.921118 0.928364 1217
avg / total 0.992016 0.991977 0.991993 21811
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 6, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 50
11 0.022989 0.020833 0.021858 288
12 0.009434 0.006944 0.008000 288
13 0.000000 0.000000 0.000000 288
14 0.214286 0.020833 0.037975 288
15 0.046512 0.006944 0.012085 288
16 0.025641 0.003521 0.006192 284
17 0.011905 0.004525 0.006557 221
18 0.000000 0.000000 0.000000 216
19 0.850980 0.962995 0.903529 17268
20 0.753119 0.491852 0.595071 2332
avg / total 0.758579 0.815827 0.780160 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 18.0
precision recall f1-score support
10 0.111111 0.187500 0.139535 16
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.017857 0.009259 0.012195 108
14 0.000000 0.000000 0.000000 108
15 0.021277 0.018519 0.019802 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.953209 0.937600 0.945340 19359
20 0.821531 0.907761 0.862496 1572
avg / total 0.905535 0.897896 0.901489 21811
Classification report for turbine 6, turbine category 18.0
precision recall f1-score support
10 0.064516 0.058824 0.061538 34
11 0.086957 0.018519 0.030534 216
12 0.033333 0.004630 0.008130 216
13 0.038462 0.004630 0.008264 216
14 0.011696 0.018519 0.014337 216
15 0.000000 0.000000 0.000000 216
16 0.012048 0.004630 0.006689 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 216
19 0.821695 0.923789 0.869756 12636
20 0.920180 0.853770 0.885732 7413
avg / total 0.790695 0.825959 0.805692 21811
Classification report for turbine 6, turbine category 18.0
precision recall f1-score support
10 0.038462 0.041667 0.040000 24
11 0.073684 0.048611 0.058577 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.932319 0.966988 0.949337 18690
20 0.885653 0.844216 0.864438 1945
avg / total 0.878418 0.904268 0.891011 21811
Classification report for turbine 6, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 72
12 0.068966 0.027778 0.039604 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.966285 0.977284 0.971753 20030
20 0.901639 0.829841 0.864251 1193
avg / total 0.936927 0.942965 0.939807 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 19.0
precision recall f1-score support
19 0.944832 0.987690 0.965786 19334
20 0.851250 0.549859 0.668138 2477
avg / total 0.934204 0.937967 0.931983 21811
Classification report for turbine 6, turbine category 19.0
precision recall f1-score support
19 0.994861 0.987324 0.991078 20195
20 0.855285 0.936262 0.893944 1616
avg / total 0.984520 0.983540 0.983881 21811
Classification report for turbine 6, turbine category 19.0
precision recall f1-score support
19 0.934933 0.967864 0.951114 14252
20 0.935100 0.872999 0.902983 7559
avg / total 0.934991 0.934987 0.934433 21811
Classification report for turbine 6, turbine category 19.0
precision recall f1-score support
19 0.988688 0.993433 0.991055 19795
20 0.932327 0.888393 0.909830 2016
avg / total 0.983478 0.983724 0.983547 21811
Classification report for turbine 6, turbine category 19.0
precision recall f1-score support
19 0.995484 0.995484 0.995484 20594
20 0.923583 0.923583 0.923583 1217
avg / total 0.991472 0.991472 0.991472 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 20.0
precision recall f1-score support
19 0.940936 0.986294 0.963081 19334
20 0.828479 0.516754 0.636499 2477
avg / total 0.928164 0.932970 0.925992 21811
Classification report for turbine 6, turbine category 20.0
precision recall f1-score support
19 0.994561 0.986878 0.990704 20195
20 0.850451 0.932550 0.889610 1616
avg / total 0.983883 0.982853 0.983214 21811
Classification report for turbine 6, turbine category 20.0
precision recall f1-score support
19 0.957728 0.966531 0.962109 14252
20 0.935784 0.919566 0.927604 7559
avg / total 0.950123 0.950254 0.950151 21811
Classification report for turbine 6, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973737 0.992309 0.982936 19504
20 0.916279 0.884731 0.900228 2004
avg / total 0.954931 0.968640 0.961681 21811
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 6, turbine category 20.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.993798 0.996018 0.994907 20594
20 0.931565 0.894823 0.912825 1217
avg / total 0.990326 0.990372 0.990327 21811
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 2.0
precision recall f1-score support
19 0.894161 0.924261 0.908962 8318
20 0.948884 0.927806 0.938227 12605
avg / total 0.927129 0.926397 0.926593 20923
Classification report for turbine 7, turbine category 2.0
precision recall f1-score support
19 0.976885 0.765522 0.858384 16010
20 0.551868 0.940973 0.695711 4913
avg / total 0.877085 0.806720 0.820186 20923
Classification report for turbine 7, turbine category 2.0
precision recall f1-score support
19 0.979523 0.984268 0.981890 16718
20 0.936227 0.918193 0.927122 4205
avg / total 0.970821 0.970989 0.970883 20923
Classification report for turbine 7, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 152
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.973117 0.989701 0.981339 18836
20 0.663080 0.861663 0.749440 1359
avg / total 0.919120 0.946948 0.932131 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980051 0.991440 0.985713 19276
20 0.849964 0.882923 0.866130 1341
avg / total 0.957380 0.969985 0.963632 20923
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.867874 0.929896 0.897815 8088
20 0.950233 0.928862 0.939426 12539
avg / total 0.904953 0.916121 0.910051 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.977800 0.748282 0.847781 16010
20 0.547682 0.932831 0.690159 4913
avg / total 0.876802 0.791617 0.810770 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.980181 0.976253 0.978213 16718
20 0.920827 0.921046 0.920937 4205
avg / total 0.968253 0.965158 0.966702 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.987915 0.985234 0.986573 19166
20 0.864023 0.867957 0.865985 1757
avg / total 0.977511 0.975386 0.976446 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.991799 0.991697 0.991748 19512
20 0.893983 0.884479 0.889206 1411
avg / total 0.985203 0.984467 0.984833 20923
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 4.0
precision recall f1-score support
19 0.892343 0.924742 0.908254 8318
20 0.949118 0.926378 0.937610 12605
avg / total 0.926547 0.925728 0.925940 20923
Classification report for turbine 7, turbine category 4.0
precision recall f1-score support
19 0.977043 0.765584 0.858484 16010
20 0.552041 0.941380 0.695960 4913
avg / total 0.877247 0.806863 0.820321 20923
Classification report for turbine 7, turbine category 4.0
precision recall f1-score support
19 0.981965 0.983551 0.982757 16718
20 0.934179 0.928181 0.931170 4205
avg / total 0.972361 0.972423 0.972389 20923
Classification report for turbine 7, turbine category 4.0
precision recall f1-score support
19 0.989249 0.988991 0.989120 19166
20 0.880250 0.882755 0.881500 1757
avg / total 0.980096 0.980070 0.980083 20923
Classification report for turbine 7, turbine category 4.0
precision recall f1-score support
19 0.993694 0.993286 0.993490 19512
20 0.907681 0.912828 0.910247 1411
avg / total 0.987893 0.987860 0.987876 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 5.0
precision recall f1-score support
10 0.540219 1.000000 0.701483 11303
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.000000 0.000000 0.000000 6571
20 0.000000 0.000000 0.000000 2185
avg / total 0.291836 0.540219 0.378955 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.966588 0.686633 0.802907 16010
20 0.639169 0.695502 0.666147 4913
avg / total 0.889705 0.688716 0.770794 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 32
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.907415 0.943951 0.925323 15647
20 0.904332 0.709189 0.794960 4092
avg / total 0.855463 0.844621 0.847464 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986687 0.928102 0.956498 19166
20 0.873964 0.840637 0.856977 1757
avg / total 0.977222 0.920757 0.948141 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992458 0.984625 0.988526 19512
20 0.905295 0.860383 0.882267 1411
avg / total 0.986580 0.976246 0.981360 20923
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 69
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 65
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.838144 0.925194 0.879520 7847
20 0.945111 0.926299 0.935610 12510
avg / total 0.879427 0.900827 0.889264 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 3260
11 0.000000 0.000000 0.000000 1291
12 0.008772 0.000916 0.001658 1092
13 0.048387 0.003151 0.005917 952
14 0.000000 0.000000 0.000000 834
15 0.000000 0.000000 0.000000 749
16 0.000000 0.000000 0.000000 570
17 0.000000 0.000000 0.000000 407
18 0.000000 0.000000 0.000000 320
19 0.586745 0.879549 0.703912 8244
20 0.353623 0.904806 0.508507 3204
avg / total 0.287998 0.485303 0.355578 20923
Classification report for turbine 7, turbine category 6.0
precision recall f1-score support
10 0.628283 0.705215 0.664530 441
11 0.230088 0.345898 0.276351 451
12 0.121951 0.107817 0.114449 371
13 0.026786 0.025000 0.025862 360
14 0.047923 0.043860 0.045802 342
15 0.016611 0.018657 0.017575 268
16 0.000000 0.000000 0.000000 252
17 0.003968 0.003968 0.003968 252
18 0.000000 0.000000 0.000000 252
19 0.863700 0.865343 0.864521 14199
20 0.890272 0.823293 0.855474 3735
avg / total 0.766927 0.759881 0.762862 20923
Classification report for turbine 7, turbine category 6.0
precision recall f1-score support
10 0.247312 0.793103 0.377049 29
11 0.013316 0.277778 0.025413 36
12 0.005803 0.083333 0.010850 36
13 0.006452 0.055556 0.011561 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.006536 0.027778 0.010582 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971746 0.864300 0.914879 18902
20 0.860013 0.803991 0.831059 1704
avg / total 0.948322 0.848158 0.894815 20923
Classification report for turbine 7, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990925 0.878588 0.931381 19512
20 0.865344 0.587527 0.699873 1411
avg / total 0.982456 0.858959 0.915769 20923
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 7.0
precision recall f1-score support
19 0.872393 0.925463 0.898145 8318
20 0.948756 0.910670 0.929323 12605
avg / total 0.918398 0.916551 0.916928 20923
Classification report for turbine 7, turbine category 7.0
precision recall f1-score support
19 0.975583 0.766146 0.858272 16010
20 0.551617 0.937513 0.694564 4913
avg / total 0.876030 0.806385 0.819831 20923
Classification report for turbine 7, turbine category 7.0
precision recall f1-score support
19 0.978622 0.985764 0.982180 16718
20 0.941710 0.914388 0.927847 4205
avg / total 0.971204 0.971419 0.971261 20923
Classification report for turbine 7, turbine category 7.0
precision recall f1-score support
19 0.988585 0.989617 0.989101 19166
20 0.885435 0.875356 0.880366 1757
avg / total 0.979923 0.980022 0.979970 20923
Classification report for turbine 7, turbine category 7.0
precision recall f1-score support
19 0.994302 0.992722 0.993512 19512
20 0.901526 0.921332 0.911321 1411
avg / total 0.988046 0.987908 0.987969 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 2058
11 0.000000 0.000000 0.000000 378
12 0.000000 0.000000 0.000000 161
13 0.000000 0.000000 0.000000 138
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.665190 0.907731 0.767761 6286
20 0.868449 0.943584 0.904459 11362
avg / total 0.671448 0.785117 0.721818 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 8.0
precision recall f1-score support
10 0.002597 0.461538 0.005166 13
11 0.021331 0.231481 0.039062 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.938131 0.706424 0.805955 15519
20 0.439464 0.506737 0.470709 4527
avg / total 0.791026 0.635091 0.699842 20923
Classification report for turbine 7, turbine category 8.0
precision recall f1-score support
10 0.038043 0.064815 0.047945 108
11 0.045455 0.003185 0.005952 314
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 189
15 0.025641 0.005556 0.009132 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.882121 0.948920 0.914302 15094
20 0.904947 0.874812 0.889624 3994
avg / total 0.810213 0.851981 0.829820 20923
Classification report for turbine 7, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984298 0.925597 0.954046 19166
20 0.868750 0.791121 0.828120 1757
avg / total 0.974595 0.914305 0.943471 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 36
11 0.000000 0.000000 0.000000 145
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.027027 0.006944 0.011050 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.934762 0.982625 0.958096 18417
20 0.834981 0.833713 0.834347 1317
avg / total 0.875548 0.917459 0.895937 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 9.0
precision recall f1-score support
19 0.886957 0.931955 0.908899 8318
20 0.953542 0.921618 0.937308 12605
avg / total 0.927071 0.925728 0.926014 20923
Classification report for turbine 7, turbine category 9.0
precision recall f1-score support
19 0.980345 0.766396 0.860268 16010
20 0.555133 0.949929 0.700751 4913
avg / total 0.880500 0.809492 0.822811 20923
Classification report for turbine 7, turbine category 9.0
precision recall f1-score support
19 0.978139 0.984926 0.981521 16718
20 0.938371 0.912485 0.925247 4205
avg / total 0.970147 0.970368 0.970212 20923
Classification report for turbine 7, turbine category 9.0
precision recall f1-score support
19 0.990238 0.989669 0.989953 19166
20 0.888009 0.893569 0.890780 1757
avg / total 0.981653 0.981599 0.981625 20923
Classification report for turbine 7, turbine category 9.0
precision recall f1-score support
19 0.993234 0.993132 0.993183 19512
20 0.905166 0.906449 0.905807 1411
avg / total 0.987295 0.987287 0.987291 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 927
11 0.000000 0.000000 0.000000 324
12 0.000000 0.000000 0.000000 302
13 0.000000 0.000000 0.000000 257
14 0.000000 0.000000 0.000000 241
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 216
19 0.687078 0.915510 0.785014 6557
20 0.894879 0.952319 0.922706 11451
avg / total 0.705082 0.808106 0.751003 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 10.0
precision recall f1-score support
10 0.052392 0.065156 0.058081 353
11 0.118644 0.008347 0.015596 2516
12 0.080709 0.020961 0.033279 1956
13 0.123153 0.016319 0.028818 1532
14 0.023715 0.005141 0.008451 1167
15 0.087613 0.029774 0.044444 974
16 0.038674 0.009524 0.015284 735
17 0.035661 0.042032 0.038585 571
18 0.041009 0.031175 0.035422 417
19 0.429871 0.575645 0.492191 7555
20 0.325867 0.799809 0.463067 3147
avg / total 0.244497 0.337189 0.260285 20923
Classification report for turbine 7, turbine category 10.0
precision recall f1-score support
10 0.034924 0.150754 0.056711 199
11 0.197452 0.417184 0.268041 966
12 0.072526 0.103155 0.085170 824
13 0.032222 0.039945 0.035670 726
14 0.031204 0.031297 0.031250 671
15 0.024221 0.022727 0.023451 616
16 0.041594 0.042781 0.042179 561
17 0.075908 0.048218 0.058974 477
18 0.043841 0.044872 0.044351 468
19 0.713929 0.635424 0.672393 11704
20 0.841997 0.663433 0.742125 3711
avg / total 0.567664 0.504182 0.530419 20923
Classification report for turbine 7, turbine category 10.0
precision recall f1-score support
10 0.523677 0.140299 0.221307 1340
11 0.071918 0.258197 0.112500 488
12 0.031579 0.076923 0.044776 468
13 0.017654 0.035354 0.023549 396
14 0.015267 0.021978 0.018018 364
15 0.017327 0.019444 0.018325 360
16 0.028070 0.022222 0.024806 360
17 0.002809 0.002778 0.002793 360
18 0.049793 0.033333 0.039933 360
19 0.772918 0.687799 0.727879 15237
20 0.542384 0.688235 0.606667 1190
avg / total 0.631928 0.559145 0.584611 20923
Classification report for turbine 7, turbine category 10.0
precision recall f1-score support
10 0.266667 0.115942 0.161616 414
11 0.009682 0.194444 0.018445 108
12 0.007392 0.064815 0.013270 108
13 0.001969 0.009259 0.003247 108
14 0.002825 0.009259 0.004329 108
15 0.000000 0.000000 0.000000 108
16 0.004854 0.009259 0.006369 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.947414 0.754108 0.839781 18683
20 0.688377 0.714137 0.701020 962
avg / total 0.883050 0.709984 0.785540 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 11.0
precision recall f1-score support
19 0.886433 0.944939 0.914751 8318
20 0.962011 0.920111 0.940594 12605
avg / total 0.931964 0.929981 0.930320 20923
Classification report for turbine 7, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 2029
11 0.000000 0.000000 0.000000 120
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 96
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.924680 0.764717 0.837126 15203
20 0.328623 0.912537 0.483226 3007
avg / total 0.719117 0.686804 0.677717 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 11.0
precision recall f1-score support
10 0.098953 0.781955 0.175676 133
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.953918 0.968089 0.960951 16358
20 0.883608 0.708766 0.786588 3856
avg / total 0.909265 0.892463 0.897371 20923
Classification report for turbine 7, turbine category 11.0
precision recall f1-score support
10 0.263415 0.545455 0.355263 99
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.125000 0.013889 0.025000 72
17 0.048780 0.027778 0.035398 72
18 0.000000 0.000000 0.000000 72
19 0.958889 0.976910 0.967816 18623
20 0.825016 0.783385 0.803662 1625
avg / total 0.919401 0.933088 0.925733 20923
Classification report for turbine 7, turbine category 11.0
precision recall f1-score support
10 0.515625 0.317308 0.392857 104
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.948920 0.985652 0.966937 18678
20 0.810953 0.846515 0.828352 1277
avg / total 0.899161 0.933136 0.915696 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 16.0
precision recall f1-score support
19 0.893063 0.931714 0.911979 8318
20 0.953614 0.926378 0.939799 12605
avg / total 0.929542 0.928500 0.928739 20923
Classification report for turbine 7, turbine category 16.0
precision recall f1-score support
19 0.976614 0.753841 0.850888 16010
20 0.539872 0.941176 0.686155 4913
avg / total 0.874061 0.797830 0.812207 20923
Classification report for turbine 7, turbine category 16.0
precision recall f1-score support
19 0.980629 0.984149 0.982386 16718
20 0.936068 0.922711 0.929341 4205
avg / total 0.971674 0.971801 0.971725 20923
Classification report for turbine 7, turbine category 16.0
precision recall f1-score support
19 0.989048 0.989461 0.989254 19166
20 0.884505 0.880478 0.882487 1757
avg / total 0.980269 0.980309 0.980288 20923
Classification report for turbine 7, turbine category 16.0
precision recall f1-score support
19 0.994102 0.993337 0.993719 19512
20 0.908836 0.918498 0.913641 1411
avg / total 0.988352 0.988290 0.988319 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.877586 0.927324 0.901770 8187
20 0.951271 0.938349 0.944766 12441
avg / total 0.909027 0.920805 0.914621 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.972085 0.761274 0.853860 16010
20 0.547365 0.927946 0.688567 4913
avg / total 0.872355 0.800411 0.815047 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 27
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.917376 0.982020 0.948598 15795
20 0.877951 0.885287 0.881604 3949
avg / total 0.858242 0.908426 0.882501 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.027027 0.013889 0.018349 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.026316 0.013889 0.018182 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.957872 0.975252 0.966484 18628
20 0.845690 0.821910 0.833630 1707
avg / total 0.921984 0.935430 0.928610 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 18.0
precision recall f1-score support
10 1.000000 0.153846 0.266667 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.962336 0.980263 0.971216 18949
20 0.876274 0.869314 0.872780 1385
avg / total 0.930169 0.945419 0.937526 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 19.0
precision recall f1-score support
19 0.891726 0.927747 0.909380 8318
20 0.951015 0.925664 0.938168 12605
avg / total 0.927444 0.926492 0.926724 20923
Classification report for turbine 7, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 10
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975554 0.772727 0.862375 15906
20 0.529914 0.934732 0.676378 4719
avg / total 0.861149 0.798260 0.808142 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 19.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.980100 0.983969 0.982031 16718
20 0.935219 0.920095 0.927595 4205
avg / total 0.971080 0.971132 0.971091 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
19 0.988942 0.989252 0.989097 19166
20 0.881336 0.870803 0.876038 1757
avg / total 0.979906 0.979305 0.979603 20923
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
19 0.993283 0.992876 0.993080 19512
20 0.901905 0.905741 0.903819 1411
avg / total 0.987121 0.987000 0.987060 20923
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 7, turbine category 20.0
precision recall f1-score support
19 0.892309 0.930392 0.910953 8318
20 0.952735 0.925902 0.939127 12605
avg / total 0.928712 0.927687 0.927926 20923
Classification report for turbine 7, turbine category 20.0
precision recall f1-score support
19 0.974204 0.766646 0.858052 16010
20 0.551177 0.933849 0.693208 4913
avg / total 0.874872 0.805907 0.819344 20923
Classification report for turbine 7, turbine category 20.0
precision recall f1-score support
19 0.980913 0.983670 0.982290 16718
20 0.934343 0.923900 0.929092 4205
avg / total 0.971553 0.971658 0.971598 20923
Classification report for turbine 7, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 49
11 0.000000 0.000000 0.000000 136
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 72
19 0.948632 0.989706 0.968734 18361
20 0.830787 0.885938 0.857477 1657
avg / total 0.898267 0.938680 0.918022 20923
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 7, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991333 0.984830 0.988071 19512
20 0.901306 0.880227 0.890642 1411
avg / total 0.985262 0.977776 0.981500 20923
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 446
11 0.000000 0.000000 0.000000 392
12 0.000000 0.000000 0.000000 360
13 0.050000 0.003058 0.005764 327
14 0.000000 0.000000 0.000000 290
15 0.051724 0.010714 0.017751 280
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 224
18 0.000000 0.000000 0.000000 216
19 0.793601 0.975462 0.875184 12511
20 0.568753 0.505918 0.535499 2281
avg / total 0.640361 0.760111 0.692744 17579
Classification report for turbine 8, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.970024 0.914220 0.941296 12672
20 0.949200 0.483595 0.640745 4907
avg / total 0.964211 0.794016 0.857400 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 2.0
precision recall f1-score support
10 0.021882 0.068027 0.033113 147
11 0.000000 0.000000 0.000000 86
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.918875 0.979754 0.948338 13237
20 0.922404 0.642996 0.757764 3605
avg / total 0.881258 0.870186 0.869774 17579
Classification report for turbine 8, turbine category 2.0
precision recall f1-score support
10 0.146341 0.031250 0.051502 192
11 0.000000 0.000000 0.000000 301
12 0.115385 0.010417 0.019108 288
13 0.066667 0.007220 0.013029 277
14 0.000000 0.000000 0.000000 233
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 183
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.874181 0.983258 0.925517 13977
20 0.775238 0.786727 0.780940 1552
avg / total 0.768041 0.851869 0.805903 17579
Classification report for turbine 8, turbine category 2.0
precision recall f1-score support
10 0.026316 0.142857 0.044444 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.060606 0.111111 0.078431 36
18 0.000000 0.000000 0.000000 36
19 0.975484 0.981516 0.978490 15202
20 0.927100 0.842939 0.883019 2082
avg / total 0.953518 0.948916 0.950941 17579
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 3.0
precision recall f1-score support
19 0.910144 0.989320 0.948082 14139
20 0.931674 0.598547 0.728850 3440
avg / total 0.914357 0.912851 0.905181 17579
Classification report for turbine 8, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975967 0.974416 0.975191 12586
20 0.887493 0.946797 0.916186 4699
avg / total 0.935994 0.950737 0.943109 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
19 0.961133 0.989436 0.975079 13821
20 0.960684 0.851783 0.902962 3758
avg / total 0.961037 0.960009 0.959662 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
19 0.985183 0.993424 0.989286 15662
20 0.952435 0.877413 0.913386 1917
avg / total 0.981612 0.980773 0.981009 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 3.0
precision recall f1-score support
19 0.991541 0.995849 0.993690 15419
20 0.969422 0.939352 0.954150 2160
avg / total 0.988823 0.988907 0.988832 17579
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 4.0
precision recall f1-score support
19 0.911809 0.992291 0.950349 14139
20 0.950274 0.605523 0.739702 3440
avg / total 0.919336 0.916605 0.909128 17579
Classification report for turbine 8, turbine category 4.0
precision recall f1-score support
19 0.984240 0.970881 0.977515 12672
20 0.927348 0.959853 0.943321 4907
avg / total 0.968359 0.967802 0.967970 17579
Classification report for turbine 8, turbine category 4.0
precision recall f1-score support
19 0.968670 0.991028 0.979722 13821
20 0.963943 0.882118 0.921217 3758
avg / total 0.967660 0.967746 0.967215 17579
Classification report for turbine 8, turbine category 4.0
precision recall f1-score support
19 0.985064 0.993807 0.989416 15662
20 0.945444 0.876891 0.909878 1917
avg / total 0.980744 0.981057 0.980742 17579
Classification report for turbine 8, turbine category 4.0
precision recall f1-score support
19 0.990442 0.994682 0.992558 15419
20 0.960840 0.931481 0.945933 2160
avg / total 0.986805 0.986916 0.986829 17579
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 5.0
precision recall f1-score support
19 0.903689 0.987481 0.943729 14139
20 0.916862 0.567442 0.701024 3440
avg / total 0.906267 0.905285 0.896235 17579
Classification report for turbine 8, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.961911 0.969357 0.965620 12401
20 0.921684 0.959050 0.939996 4884
avg / total 0.934647 0.950282 0.942351 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 123
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.947220 0.990689 0.968467 13532
20 0.933000 0.873212 0.902117 3636
avg / total 0.922132 0.943228 0.932100 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 43
11 0.000000 0.000000 0.000000 36
12 0.142857 0.027778 0.046512 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962756 0.983956 0.973240 15395
20 0.904903 0.826767 0.864072 1853
avg / total 0.938822 0.948916 0.943503 17579
Classification report for turbine 8, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988289 0.990661 0.989474 15419
20 0.965703 0.912500 0.938348 2160
avg / total 0.985514 0.981057 0.983192 17579
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.921863 0.973100 0.946789 14052
20 0.829296 0.666770 0.739205 3235
avg / total 0.889516 0.900563 0.892861 17579
Classification report for turbine 8, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.961899 0.972222 0.967033 12672
20 0.935499 0.827593 0.878244 4907
avg / total 0.954529 0.931851 0.942248 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.959248 0.974170 0.966651 13821
20 0.967497 0.847525 0.903546 3758
avg / total 0.961011 0.947096 0.953161 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 97
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.964888 0.992272 0.978388 15398
20 0.894644 0.846325 0.869814 1796
avg / total 0.936579 0.955629 0.945868 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 31
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976011 0.994742 0.985287 15215
20 0.913278 0.911491 0.912384 2045
avg / total 0.951002 0.967006 0.958927 17579
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 7.0
precision recall f1-score support
19 0.917599 0.986067 0.950602 14139
20 0.917400 0.636047 0.751245 3440
avg / total 0.917560 0.917572 0.911590 17579
Classification report for turbine 8, turbine category 7.0
precision recall f1-score support
19 0.982017 0.969618 0.975778 12672
20 0.924018 0.954147 0.938841 4907
avg / total 0.965827 0.965300 0.965468 17579
Classification report for turbine 8, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 33
11 0.000000 0.000000 0.000000 172
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 136
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.906349 0.991425 0.946980 12944
20 0.927193 0.878393 0.902134 3610
avg / total 0.857782 0.910404 0.882554 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 7.0
precision recall f1-score support
10 0.500000 0.062500 0.111111 16
11 0.000000 0.000000 0.000000 129
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.923664 0.990729 0.956022 14778
20 0.941141 0.824737 0.879102 1900
avg / total 0.878666 0.922066 0.898809 17579
Classification report for turbine 8, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990334 0.983462 0.986886 15419
20 0.966134 0.924537 0.944878 2160
avg / total 0.987361 0.976222 0.981725 17579
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 8.0
precision recall f1-score support
10 0.555730 0.317489 0.404110 1115
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 64
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.898716 0.928382 0.913308 13572
20 0.888068 0.624201 0.733114 2504
avg / total 0.855608 0.825815 0.835185 17579
Classification report for turbine 8, turbine category 8.0
precision recall f1-score support
10 0.008368 0.133333 0.015748 15
11 0.000000 0.000000 0.000000 46
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.952400 0.964026 0.958178 12370
20 0.929162 0.894812 0.911664 4896
avg / total 0.928977 0.927698 0.928176 17579
Classification report for turbine 8, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 290
11 0.000000 0.000000 0.000000 80
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 67
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.939978 0.967625 0.953601 13498
20 0.808976 0.649881 0.720753 3356
avg / total 0.876202 0.867057 0.869820 17579
Classification report for turbine 8, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.980311 0.985506 0.982902 15662
20 0.943834 0.806468 0.869761 1917
avg / total 0.976333 0.965982 0.970564 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 8.0
precision recall f1-score support
10 0.007407 0.011765 0.009091 85
11 0.058824 0.003968 0.007435 252
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 252
14 0.058824 0.003968 0.007435 252
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.885198 0.982043 0.931109 13811
20 0.737123 0.910018 0.814497 1667
avg / total 0.767082 0.858012 0.809024 17579
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 9.0
precision recall f1-score support
19 0.918314 0.985925 0.950919 14139
20 0.917049 0.639535 0.753554 3440
avg / total 0.918066 0.918141 0.912297 17579
Classification report for turbine 8, turbine category 9.0
precision recall f1-score support
19 0.982830 0.975694 0.979249 12672
20 0.938388 0.955981 0.947103 4907
avg / total 0.970424 0.970192 0.970276 17579
Classification report for turbine 8, turbine category 9.0
precision recall f1-score support
19 0.971899 0.990956 0.981335 13821
20 0.964153 0.894625 0.928088 3758
avg / total 0.970243 0.970362 0.969952 17579
Classification report for turbine 8, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 125
11 0.000000 0.000000 0.000000 63
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970275 0.994155 0.982070 15399
20 0.848418 0.878161 0.863033 1740
avg / total 0.933928 0.957791 0.945707 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.989429 0.995525 0.992468 15419
20 0.969906 0.910185 0.939097 2160
avg / total 0.987030 0.985039 0.985910 17579
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 10.0
precision recall f1-score support
10 0.094595 0.009309 0.016949 752
11 0.000000 0.000000 0.000000 146
12 0.000000 0.000000 0.000000 111
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 104
19 0.928020 0.968073 0.947624 13531
20 0.623410 0.798330 0.700110 2395
avg / total 0.803302 0.854315 0.825519 17579
Classification report for turbine 8, turbine category 10.0
precision recall f1-score support
10 0.069804 0.487085 0.122109 271
11 0.040816 0.011111 0.017467 180
12 0.043478 0.008547 0.014286 117
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.033333 0.009259 0.014493 108
17 0.004854 0.009259 0.006369 108
18 0.000000 0.000000 0.000000 108
19 0.913548 0.946271 0.929622 11893
20 0.835826 0.550112 0.663519 4470
avg / total 0.832610 0.787872 0.799936 17579
Classification report for turbine 8, turbine category 10.0
precision recall f1-score support
10 0.006550 0.428571 0.012903 14
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.933526 0.955813 0.944538 13488
20 0.918894 0.559840 0.695776 3501
avg / total 0.899286 0.845213 0.863304 17579
Classification report for turbine 8, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.979296 0.984549 0.981915 15662
20 0.954515 0.744392 0.836460 1917
avg / total 0.976594 0.958359 0.966053 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 10.0
precision recall f1-score support
10 0.021739 0.029197 0.024922 137
11 0.000000 0.000000 0.000000 117
12 0.000000 0.000000 0.000000 84
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.951628 0.983714 0.967405 14859
20 0.889908 0.895385 0.892638 1950
avg / total 0.903267 0.931054 0.916931 17579
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 11.0
precision recall f1-score support
10 0.009091 0.032609 0.014218 92
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.903485 0.934965 0.918955 13977
20 0.835281 0.511588 0.634538 2934
avg / total 0.857816 0.828944 0.836639 17579
Classification report for turbine 8, turbine category 11.0
precision recall f1-score support
10 0.005051 0.005917 0.005450 169
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.951212 0.953977 0.952592 12385
20 0.894944 0.814651 0.852912 4737
avg / total 0.911369 0.891689 0.901019 17579
Classification report for turbine 8, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.964068 0.984227 0.974043 13821
20 0.962681 0.672698 0.791980 3758
avg / total 0.963771 0.917629 0.935122 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.978472 0.989593 0.984001 15662
20 0.944828 0.786124 0.858200 1917
avg / total 0.974803 0.967404 0.970282 17579
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.
'recall', 'true', average, warn_for)
Classification report for turbine 8, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970869 0.992538 0.981584 15144
20 0.955912 0.890756 0.922185 2142
avg / total 0.952865 0.963593 0.957986 17579
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 16.0
precision recall f1-score support
19 0.924339 0.991937 0.956946 14139
20 0.952618 0.666279 0.784126 3440
avg / total 0.929873 0.928210 0.923127 17579
Classification report for turbine 8, turbine category 16.0
precision recall f1-score support
19 0.982264 0.974590 0.978412 12672
20 0.935677 0.954555 0.945022 4907
avg / total 0.969259 0.968997 0.969091 17579
Classification report for turbine 8, turbine category 16.0
precision recall f1-score support
19 0.968251 0.990739 0.979366 13821
20 0.962758 0.880522 0.919805 3758
avg / total 0.967076 0.967177 0.966633 17579
Classification report for turbine 8, turbine category 16.0
precision recall f1-score support
19 0.985931 0.993296 0.989600 15662
20 0.941667 0.884194 0.912026 1917
avg / total 0.981104 0.981398 0.981140 17579
Classification report for turbine 8, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 65
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 65
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.972687 0.995704 0.984061 15129
20 0.888623 0.931363 0.909491 1996
avg / total 0.938021 0.962683 0.950179 17579
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 30
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.833613 0.976397 0.899373 12710
20 0.877786 0.695204 0.775899 3399
avg / total 0.772445 0.840378 0.800291 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
11 0.000000 0.000000 0.000000 144
12 0.045455 0.013889 0.021277 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.909330 0.939608 0.924221 11773
20 0.883047 0.953996 0.917151 4630
avg / total 0.841947 0.880653 0.860705 17579
Classification report for turbine 8, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.018868 0.027778 0.022472 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.949014 0.958395 0.953681 13556
20 0.965755 0.862393 0.911152 3728
avg / total 0.936677 0.922009 0.928704 17579
Classification report for turbine 8, turbine category 18.0
precision recall f1-score support
10 0.100000 0.052632 0.068966 19
11 0.000000 0.000000 0.000000 108
12 0.029412 0.009259 0.014085 108
13 0.012500 0.009259 0.010638 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.045455 0.009259 0.015385 108
19 0.927280 0.975840 0.950940 14818
20 0.927553 0.831736 0.877035 1878
avg / total 0.881376 0.911656 0.895600 17579
Classification report for turbine 8, turbine category 18.0
precision recall f1-score support
10 0.111111 0.052632 0.071429 19
11 0.085714 0.027778 0.041958 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.936440 0.983348 0.959321 14593
20 0.939483 0.915359 0.927264 2103
avg / total 0.890413 0.926048 0.907634 17579
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 19.0
precision recall f1-score support
19 0.915119 0.989745 0.950970 14139
20 0.936598 0.622674 0.748036 3440
avg / total 0.919322 0.917913 0.911258 17579
Classification report for turbine 8, turbine category 19.0
precision recall f1-score support
19 0.981493 0.970960 0.976198 12672
20 0.927028 0.952721 0.939698 4907
avg / total 0.966290 0.965868 0.966010 17579
Classification report for turbine 8, turbine category 19.0
precision recall f1-score support
19 0.972960 0.991896 0.982337 13821
20 0.967899 0.898616 0.931972 3758
avg / total 0.971878 0.971955 0.971570 17579
Classification report for turbine 8, turbine category 19.0
precision recall f1-score support
19 0.986247 0.993551 0.989885 15662
20 0.943920 0.886802 0.914470 1917
avg / total 0.981631 0.981910 0.981661 17579
Classification report for turbine 8, turbine category 19.0
precision recall f1-score support
19 0.990961 0.995395 0.993173 15419
20 0.966045 0.935185 0.950365 2160
avg / total 0.987899 0.987997 0.987913 17579
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 20.0
precision recall f1-score support
19 0.918839 0.984865 0.950707 14139
20 0.911716 0.642442 0.753752 3440
avg / total 0.917445 0.917857 0.912165 17579
Classification report for turbine 8, turbine category 20.0
precision recall f1-score support
19 0.982453 0.972064 0.977231 12672
20 0.929776 0.955166 0.942300 4907
avg / total 0.967749 0.967347 0.967481 17579
Classification report for turbine 8, turbine category 20.0
precision recall f1-score support
19 0.969057 0.992475 0.980626 13821
20 0.969626 0.883449 0.924534 3758
avg / total 0.969179 0.969168 0.968635 17579
Classification report for turbine 8, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.967809 0.993430 0.980453 15374
20 0.937709 0.885504 0.910859 1904
avg / total 0.947978 0.964731 0.956127 17579
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 8, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971015 0.993724 0.982238 15137
20 0.961613 0.922181 0.941484 2146
avg / total 0.953517 0.968258 0.960724 17579
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 2.0
precision recall f1-score support
19 0.983765 0.992154 0.987942 17589
20 0.952266 0.905294 0.928186 3041
avg / total 0.979121 0.979350 0.979133 20630
Classification report for turbine 9, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 79
11 0.000000 0.000000 0.000000 55
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 46
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.928931 0.951594 0.940126 10288
20 0.947181 0.971539 0.959205 9838
avg / total 0.914939 0.937857 0.926257 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 2.0
precision recall f1-score support
10 0.061224 0.043269 0.050704 208
11 0.025000 0.005464 0.008969 183
12 0.000000 0.000000 0.000000 125
13 0.000000 0.000000 0.000000 58
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 26
16 0.000000 0.000000 0.000000 4
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.949552 0.980942 0.964992 16214
20 0.950593 0.929806 0.940085 3704
avg / total 0.917806 0.938391 0.927806 20630
Classification report for turbine 9, turbine category 2.0
precision recall f1-score support
10 0.080000 0.033333 0.047059 60
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 32
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.973561 0.989165 0.981301 17720
20 0.939454 0.899924 0.919264 2638
avg / total 0.956597 0.964809 0.960567 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 2.0
precision recall f1-score support
10 0.240000 0.346154 0.283465 52
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.974854 0.990194 0.982464 17540
20 0.954156 0.930909 0.942389 2750
avg / total 0.956633 0.966844 0.961645 20630
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 3.0
precision recall f1-score support
19 0.984519 0.990676 0.987588 17589
20 0.944046 0.909898 0.926658 3041
avg / total 0.978553 0.978769 0.978606 20630
Classification report for turbine 9, turbine category 3.0
precision recall f1-score support
19 0.979145 0.952625 0.965703 10744
20 0.949985 0.977949 0.963764 9886
avg / total 0.965171 0.964760 0.964774 20630
Classification report for turbine 9, turbine category 3.0
precision recall f1-score support
19 0.984915 0.989228 0.987067 16896
20 0.950273 0.931441 0.940763 3734
avg / total 0.978645 0.978769 0.978686 20630
Classification report for turbine 9, turbine category 3.0
precision recall f1-score support
19 0.987420 0.993365 0.990384 17936
20 0.953983 0.915739 0.934470 2694
avg / total 0.983053 0.983228 0.983082 20630
Classification report for turbine 9, turbine category 3.0
precision recall f1-score support
19 0.991881 0.993717 0.992798 17827
20 0.959567 0.948270 0.953885 2803
avg / total 0.987491 0.987542 0.987511 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 4.0
precision recall f1-score support
19 0.970824 0.991301 0.980956 17589
20 0.942697 0.827688 0.881457 3041
avg / total 0.966678 0.967184 0.966289 20630
Classification report for turbine 9, turbine category 4.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.933033 0.951506 0.942179 10455
20 0.948435 0.957076 0.952736 9878
avg / total 0.926975 0.940475 0.933670 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 4.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990050 0.983487 0.986758 16896
20 0.948923 0.955276 0.952089 3734
avg / total 0.982606 0.978381 0.980483 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 4.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.982885 0.992585 0.987711 17936
20 0.955128 0.884929 0.918690 2694
avg / total 0.979261 0.978526 0.978698 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 4.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991821 0.993156 0.992488 17827
20 0.958123 0.946843 0.952449 2803
avg / total 0.987243 0.986864 0.987048 20630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.965779 0.991586 0.978512 17589
20 0.943501 0.785268 0.857143 3041
avg / total 0.962495 0.961173 0.960621 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 5.0
precision recall f1-score support
10 0.027027 0.019608 0.022727 102
11 0.000000 0.000000 0.000000 64
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.891527 0.949971 0.919822 10434
20 0.933615 0.880241 0.906143 9778
avg / total 0.893545 0.897770 0.894814 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971787 0.983410 0.977564 16637
20 0.934016 0.937551 0.935780 3699
avg / total 0.951165 0.961173 0.956141 20630
Classification report for turbine 9, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984882 0.987957 0.986417 17936
20 0.941107 0.883816 0.911562 2694
avg / total 0.979166 0.974358 0.976642 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 39
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.981433 0.993940 0.987647 17656
20 0.907073 0.910842 0.908954 2647
avg / total 0.956335 0.967523 0.961895 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 6.0
precision recall f1-score support
19 0.983887 0.989425 0.986649 17589
20 0.936778 0.906281 0.921277 3041
avg / total 0.976943 0.977169 0.977012 20630
Classification report for turbine 9, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962507 0.950627 0.956530 10694
20 0.924613 0.965363 0.944549 9643
avg / total 0.931124 0.944014 0.937344 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.972239 0.985241 0.978697 16600
20 0.935935 0.950723 0.943271 3734
avg / total 0.951718 0.964857 0.958242 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 53
11 0.000000 0.000000 0.000000 108
12 0.375000 0.027778 0.051724 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.948969 0.986978 0.967600 17202
20 0.848530 0.908005 0.877260 2511
avg / total 0.896525 0.933640 0.913866 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 33
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.957235 0.987192 0.971983 17255
20 0.948206 0.926609 0.937283 2766
avg / total 0.927767 0.949927 0.938637 20630
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 7.0
precision recall f1-score support
19 0.973181 0.992325 0.982660 17589
20 0.949907 0.841828 0.892608 3041
avg / total 0.969750 0.970141 0.969385 20630
Classification report for turbine 9, turbine category 7.0
precision recall f1-score support
19 0.949287 0.954765 0.952019 10744
20 0.950529 0.944568 0.947539 9886
avg / total 0.949883 0.949879 0.949872 20630
Classification report for turbine 9, turbine category 7.0
precision recall f1-score support
19 0.986121 0.988222 0.987170 16896
20 0.946187 0.937065 0.941604 3734
avg / total 0.978893 0.978963 0.978923 20630
Classification report for turbine 9, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 203
11 0.000000 0.000000 0.000000 187
12 0.000000 0.000000 0.000000 156
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 125
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 98
18 0.000000 0.000000 0.000000 72
19 0.936943 0.993542 0.964413 17034
20 0.828594 0.901653 0.863581 2359
avg / total 0.868373 0.923461 0.895056 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 275
11 0.000000 0.000000 0.000000 289
12 0.000000 0.000000 0.000000 206
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 167
16 0.142857 0.006944 0.013245 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.924235 0.987874 0.954995 16658
20 0.762152 0.915738 0.831916 2243
avg / total 0.830149 0.897286 0.861668 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 2209
11 0.000000 0.000000 0.000000 122
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.927442 0.979930 0.952964 15496
20 0.701735 0.844280 0.766436 2299
avg / total 0.774839 0.830150 0.801220 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 8.0
precision recall f1-score support
10 0.165693 0.630556 0.262428 360
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.891247 0.899479 0.895344 10177
20 0.905143 0.858164 0.881028 9229
avg / total 0.847476 0.838633 0.840397 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 68
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.955213 0.965677 0.960416 16432
20 0.896912 0.580191 0.704596 3554
avg / total 0.915351 0.869123 0.886364 20630
Classification report for turbine 9, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984090 0.982828 0.983458 17936
20 0.936560 0.854863 0.893848 2694
avg / total 0.977883 0.966117 0.971757 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 45
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 123
13 0.000000 0.000000 0.000000 108
14 0.333333 0.009259 0.018018 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.942105 0.991456 0.966151 16971
20 0.924723 0.928492 0.926604 2699
avg / total 0.897736 0.937130 0.916112 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 9.0
precision recall f1-score support
19 0.979604 0.991245 0.985390 17589
20 0.945621 0.880631 0.911970 3041
avg / total 0.974595 0.974939 0.974568 20630
Classification report for turbine 9, turbine category 9.0
precision recall f1-score support
19 0.920795 0.953276 0.936754 10744
20 0.947197 0.910884 0.928686 9886
avg / total 0.933447 0.932962 0.932888 20630
Classification report for turbine 9, turbine category 9.0
precision recall f1-score support
19 0.988173 0.988991 0.988582 16896
20 0.950000 0.946438 0.948216 3734
avg / total 0.981263 0.981289 0.981276 20630
Classification report for turbine 9, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 34
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976798 0.994083 0.985365 17745
20 0.912485 0.915334 0.913907 2563
avg / total 0.953562 0.968783 0.961107 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.991225 0.994783 0.993001 17827
20 0.968510 0.943632 0.955909 2803
avg / total 0.988138 0.987833 0.987961 20630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 10.0
precision recall f1-score support
10 0.095909 0.560784 0.163803 255
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 57
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.923620 0.904894 0.914161 16918
20 0.884757 0.738404 0.804982 2932
avg / total 0.884361 0.853951 0.866106 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.954304 0.936895 0.945519 10744
20 0.950556 0.950941 0.950748 9886
avg / total 0.952508 0.943626 0.948025 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 77
19 0.959212 0.966256 0.962721 16477
20 0.900462 0.929012 0.914515 3564
avg / total 0.921676 0.932235 0.926907 20630
Classification report for turbine 9, turbine category 10.0
precision recall f1-score support
10 0.023256 0.003367 0.005882 297
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 67
19 0.956638 0.987336 0.971744 17451
20 0.812950 0.880138 0.845211 2311
avg / total 0.900626 0.933834 0.916769 20630
Classification report for turbine 9, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989434 0.987547 0.988490 17827
20 0.961278 0.912237 0.936116 2803
avg / total 0.985609 0.977315 0.981374 20630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 11.0
precision recall f1-score support
10 0.442849 0.932141 0.600437 1621
11 0.018606 0.518182 0.035922 220
12 0.003043 0.033333 0.005576 180
13 0.008152 0.050000 0.014019 180
14 0.001626 0.005556 0.002516 180
15 0.001425 0.005556 0.002268 180
16 0.009868 0.016667 0.012397 180
17 0.000000 0.000000 0.000000 169
18 0.000000 0.000000 0.000000 144
19 0.927375 0.326790 0.483281 16099
20 0.421053 0.048747 0.087379 1477
avg / total 0.789045 0.338245 0.431277 20630
Classification report for turbine 9, turbine category 11.0
precision recall f1-score support
10 0.854448 0.734391 0.789884 8697
11 0.000000 0.000000 0.000000 547
12 0.007143 0.002857 0.004082 350
13 0.014493 0.013889 0.014184 288
14 0.041667 0.011236 0.017699 267
15 0.000000 0.000000 0.000000 223
16 0.008403 0.004673 0.006006 214
17 0.014706 0.005556 0.008065 180
18 0.000000 0.000000 0.000000 180
19 0.686664 0.864909 0.765548 7358
20 0.573637 0.574377 0.574006 2326
avg / total 0.670874 0.683325 0.671383 20630
Classification report for turbine 9, turbine category 11.0
precision recall f1-score support
10 0.091816 0.661871 0.161262 417
11 0.021505 0.011952 0.015365 502
12 0.051724 0.021635 0.030508 416
13 0.012285 0.014205 0.013175 352
14 0.032680 0.017361 0.022676 288
15 0.011494 0.003861 0.005780 259
16 0.023810 0.011905 0.015873 252
17 0.011765 0.004292 0.006289 233
18 0.000000 0.000000 0.000000 216
19 0.833794 0.866060 0.849621 14290
20 0.924133 0.375624 0.534141 3405
avg / total 0.734738 0.676733 0.681804 20630
Classification report for turbine 9, turbine category 11.0
precision recall f1-score support
10 0.472042 0.802000 0.594294 1000
11 0.105128 0.040877 0.058866 1003
12 0.022222 0.004790 0.007882 835
13 0.018405 0.003947 0.006501 760
14 0.070866 0.012623 0.021429 713
15 0.296703 0.039474 0.069677 684
16 0.094891 0.019259 0.032020 675
17 0.011673 0.004894 0.006897 613
18 0.012987 0.001742 0.003072 574
19 0.684018 0.923183 0.785805 12341
20 0.645955 0.384777 0.482276 1432
avg / total 0.499691 0.622734 0.540167 20630
Classification report for turbine 9, turbine category 11.0
precision recall f1-score support
10 0.534238 0.683535 0.599735 1324
11 0.111250 0.070973 0.086660 1254
12 0.047468 0.013636 0.021186 1100
13 0.081712 0.020448 0.032710 1027
14 0.034843 0.010846 0.016543 922
15 0.025532 0.006674 0.010582 899
16 0.036585 0.010883 0.016775 827
17 0.074890 0.021964 0.033966 774
18 0.022989 0.005626 0.009040 711
19 0.584307 0.863349 0.696935 10428
20 0.667343 0.482405 0.560000 1364
avg / total 0.394863 0.520456 0.439285 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 16.0
precision recall f1-score support
19 0.984186 0.990733 0.987449 17589
20 0.944254 0.907925 0.925733 3041
avg / total 0.978300 0.978526 0.978351 20630
Classification report for turbine 9, turbine category 16.0
precision recall f1-score support
19 0.974049 0.953742 0.963789 10744
20 0.950841 0.972385 0.961492 9886
avg / total 0.962928 0.962676 0.962688 20630
Classification report for turbine 9, turbine category 16.0
precision recall f1-score support
19 0.987140 0.985855 0.986497 16896
20 0.936368 0.941885 0.939119 3734
avg / total 0.977950 0.977896 0.977922 20630
Classification report for turbine 9, turbine category 16.0
precision recall f1-score support
19 0.985843 0.993923 0.989866 17936
20 0.957205 0.904974 0.930357 2694
avg / total 0.982103 0.982307 0.982095 20630
Classification report for turbine 9, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976109 0.994244 0.985093 17547
20 0.959013 0.948350 0.953652 2788
avg / total 0.959841 0.973825 0.966758 20630
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 38
11 0.006173 0.004630 0.005291 216
12 0.010101 0.013889 0.011696 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 216
15 0.055556 0.023148 0.032680 216
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 216
19 0.873698 0.937304 0.904384 15934
20 0.923643 0.813311 0.864973 2930
avg / total 0.806752 0.839893 0.821888 20630
Classification report for turbine 9, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.968326 0.930473 0.949022 10744
20 0.952396 0.936982 0.944626 9886
avg / total 0.960692 0.933592 0.946915 20630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 9, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.936020 0.966621 0.951074 16028
20 0.946800 0.942473 0.944632 3720
avg / total 0.897946 0.920940 0.909251 20630
Classification report for turbine 9, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.025000 0.027778 0.026316 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.951551 0.980029 0.965580 17375
20 0.951792 0.866142 0.906949 2667
avg / total 0.924548 0.937470 0.930571 20630
Classification report for turbine 9, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.957994 0.980758 0.969242 17254
20 0.959618 0.937590 0.948476 2788
avg / total 0.930908 0.946970 0.938810 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 19.0
precision recall f1-score support
19 0.983308 0.991358 0.987317 17589
20 0.947532 0.902664 0.924554 3041
avg / total 0.978034 0.978284 0.978065 20630
Classification report for turbine 9, turbine category 19.0
precision recall f1-score support
19 0.971244 0.952532 0.961797 10744
20 0.949470 0.969351 0.959307 9886
avg / total 0.960810 0.960591 0.960604 20630
Classification report for turbine 9, turbine category 19.0
precision recall f1-score support
19 0.990739 0.987689 0.989212 16896
20 0.945061 0.958222 0.951596 3734
avg / total 0.982471 0.982356 0.982403 20630
Classification report for turbine 9, turbine category 19.0
precision recall f1-score support
19 0.985827 0.992808 0.989305 17936
20 0.949747 0.904974 0.926820 2694
avg / total 0.981116 0.981338 0.981146 20630
Classification report for turbine 9, turbine category 19.0
precision recall f1-score support
19 0.991769 0.993549 0.992658 17827
20 0.958499 0.947556 0.952996 2803
avg / total 0.987248 0.987300 0.987269 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 20.0
precision recall f1-score support
19 0.981169 0.989425 0.985280 17589
20 0.935707 0.890168 0.912369 3041
avg / total 0.974468 0.974794 0.974532 20630
Classification report for turbine 9, turbine category 20.0
precision recall f1-score support
19 0.958524 0.952904 0.955706 10744
20 0.949141 0.955189 0.952155 9886
avg / total 0.954028 0.953999 0.954004 20630
Classification report for turbine 9, turbine category 20.0
precision recall f1-score support
19 0.988152 0.987216 0.987684 16896
20 0.942400 0.946438 0.944415 3734
avg / total 0.979871 0.979835 0.979852 20630
Classification report for turbine 9, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 316
11 0.000000 0.000000 0.000000 432
12 0.000000 0.000000 0.000000 432
13 0.000000 0.000000 0.000000 424
14 0.000000 0.000000 0.000000 339
15 0.000000 0.000000 0.000000 288
16 0.000000 0.000000 0.000000 288
17 0.000000 0.000000 0.000000 280
18 0.000000 0.000000 0.000000 229
19 0.846209 0.994213 0.914260 15380
20 0.789844 0.909991 0.845671 2222
avg / total 0.715935 0.839215 0.772681 20630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 9, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989616 0.983620 0.986609 17827
20 0.960571 0.912594 0.935968 2803
avg / total 0.985669 0.973970 0.979728 20630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.976257 0.793363 0.875359 19798
20 0.716870 0.716170 0.716520 2047
avg / total 0.951951 0.786130 0.860475 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985300 0.967470 0.976303 18844
20 0.922235 0.814062 0.864779 3001
avg / total 0.976636 0.946395 0.960982 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 2.0
precision recall f1-score support
10 0.360000 0.062937 0.107143 143
11 0.076923 0.013889 0.023529 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 38
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.966195 0.966601 0.966398 14282
20 0.927870 0.964154 0.945664 7058
avg / total 0.934087 0.943923 0.938138 21845
Classification report for turbine 10, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996627 0.988689 0.992642 21219
20 0.787572 0.870607 0.827011 626
avg / total 0.990636 0.985306 0.987896 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.998252 0.995713 0.996981 21225
20 0.910798 0.938710 0.924543 620
avg / total 0.995770 0.994095 0.994925 21845
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.969209 0.964837 0.967018 19509
20 0.712459 0.846984 0.773919 2039
avg / total 0.932067 0.940719 0.935847 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 47
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970103 0.991027 0.980453 18499
20 0.921455 0.924599 0.923025 2931
avg / total 0.945146 0.963287 0.954122 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 74
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.946231 0.971620 0.958758 14200
20 0.947091 0.936427 0.941729 7283
avg / total 0.930838 0.943786 0.937192 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996390 0.988642 0.992501 21219
20 0.789165 0.861022 0.823529 626
avg / total 0.990452 0.984985 0.987659 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.998153 0.993027 0.995583 21225
20 0.893846 0.937097 0.914961 620
avg / total 0.995193 0.991440 0.993295 21845
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 4.0
precision recall f1-score support
19 0.980167 0.968532 0.974315 19798
20 0.726994 0.810454 0.766459 2047
avg / total 0.956443 0.953719 0.954837 21845
Classification report for turbine 10, turbine category 4.0
precision recall f1-score support
19 0.987507 0.989917 0.988710 18844
20 0.935702 0.921360 0.928475 3001
avg / total 0.980390 0.980499 0.980436 21845
Classification report for turbine 10, turbine category 4.0
precision recall f1-score support
19 0.981953 0.975209 0.978569 14562
20 0.951104 0.964163 0.957589 7283
avg / total 0.971668 0.971527 0.971575 21845
Classification report for turbine 10, turbine category 4.0
precision recall f1-score support
19 0.997114 0.993214 0.995160 21219
20 0.796897 0.902556 0.846442 626
avg / total 0.991376 0.990616 0.990898 21845
Classification report for turbine 10, turbine category 4.0
precision recall f1-score support
19 0.998114 0.997220 0.997667 21225
20 0.907668 0.935484 0.921366 620
avg / total 0.995547 0.995468 0.995501 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 491
11 0.085106 0.007782 0.014260 514
12 0.000000 0.000000 0.000000 375
13 0.000000 0.000000 0.000000 302
14 0.055556 0.003774 0.007067 265
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.062500 0.007937 0.014085 252
18 0.000000 0.000000 0.000000 252
19 0.857379 0.956943 0.904429 17326
20 0.544104 0.773018 0.638669 1564
avg / total 0.722369 0.814649 0.763643 21845
Classification report for turbine 10, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984391 0.980577 0.982480 18844
20 0.930123 0.856048 0.891550 3001
avg / total 0.976936 0.963470 0.969989 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.960784 0.940657 0.950614 14273
20 0.948070 0.958362 0.953188 7277
avg / total 0.943574 0.933852 0.938634 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996583 0.989632 0.993095 21219
20 0.778932 0.838658 0.807692 626
avg / total 0.990346 0.985306 0.987782 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.997921 0.995006 0.996461 21225
20 0.881469 0.851613 0.866284 620
avg / total 0.994616 0.990936 0.992767 21845
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 32
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 43
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.959019 0.827560 0.888453 19427
20 0.692097 0.750371 0.720057 2019
avg / total 0.916833 0.805310 0.856661 21845
Classification report for turbine 10, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986036 0.981798 0.983913 18844
20 0.924386 0.778074 0.844943 3001
avg / total 0.977567 0.953811 0.964821 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 25
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.943727 0.971535 0.957429 13982
20 0.945087 0.966951 0.955894 7262
avg / total 0.918215 0.943282 0.930578 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996724 0.989443 0.993071 21219
20 0.786119 0.886581 0.833333 626
avg / total 0.990689 0.986496 0.988493 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.984501 0.995033 0.989739 20939
20 0.882540 0.922056 0.901865 603
avg / total 0.968031 0.979217 0.973585 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984722 0.944085 0.963975 19798
20 0.720670 0.819248 0.766804 2047
avg / total 0.959978 0.932387 0.945499 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984834 0.985566 0.985200 18844
20 0.937919 0.886038 0.911241 3001
avg / total 0.978389 0.971893 0.975039 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.975898 0.970402 0.973142 14562
20 0.943779 0.908142 0.925618 7283
avg / total 0.965189 0.949645 0.957298 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 154
11 0.000000 0.000000 0.000000 224
12 0.000000 0.000000 0.000000 198
13 0.000000 0.000000 0.000000 168
14 0.000000 0.000000 0.000000 138
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.938803 0.991645 0.964500 19987
20 0.691869 0.891544 0.779116 544
avg / total 0.876183 0.929503 0.901868 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 23
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.972708 0.987095 0.979848 20689
20 0.814992 0.917415 0.863176 557
avg / total 0.942014 0.958251 0.950006 21845
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 8.0
precision recall f1-score support
10 0.030303 0.023810 0.026667 42
11 0.067416 0.041667 0.051502 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.050000 0.013889 0.021739 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.936075 0.925625 0.930821 18810
20 0.680684 0.800109 0.735581 1841
avg / total 0.864220 0.864866 0.864024 21845
Classification report for turbine 10, turbine category 8.0
precision recall f1-score support
10 0.547368 0.304094 0.390977 342
11 0.000000 0.000000 0.000000 83
12 0.060465 0.180556 0.090592 72
13 0.027027 0.027778 0.027397 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.943709 0.968688 0.956035 18172
20 0.844444 0.720117 0.777341 2744
avg / total 0.899965 0.901717 0.899442 21845
Classification report for turbine 10, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 636
11 0.000000 0.000000 0.000000 95
12 0.000000 0.000000 0.000000 45
13 0.000000 0.000000 0.000000 36
14 0.058824 0.027778 0.037736 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.948864 0.936095 0.942437 14193
20 0.866058 0.939790 0.901419 6660
avg / total 0.880627 0.894759 0.887197 21845
Classification report for turbine 10, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 10
11 0.000000 0.000000 0.000000 56
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 43
18 0.000000 0.000000 0.000000 72
19 0.981862 0.988716 0.985277 20915
20 0.724963 0.852373 0.783522 569
avg / total 0.958945 0.968826 0.963740 21845
Classification report for turbine 10, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 85
11 0.016949 0.005556 0.008368 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.076923 0.017341 0.028302 173
18 0.000000 0.000000 0.000000 144
19 0.937649 0.990213 0.963214 19925
20 0.569260 0.684932 0.621762 438
avg / total 0.867399 0.917098 0.891315 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 9.0
precision recall f1-score support
19 0.980430 0.964138 0.972216 19798
20 0.701178 0.813874 0.753335 2047
avg / total 0.954263 0.950057 0.951705 21845
Classification report for turbine 10, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 63
11 0.000000 0.000000 0.000000 99
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 51
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.966714 0.991439 0.978920 18455
20 0.921179 0.918974 0.920075 2925
avg / total 0.940039 0.960632 0.950203 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.978298 0.972051 0.975164 14562
20 0.952107 0.955376 0.953739 7283
avg / total 0.969566 0.966491 0.968021 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.994607 0.990904 0.992752 21219
20 0.817590 0.801917 0.809677 626
avg / total 0.989535 0.985489 0.987506 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.997923 0.995807 0.996864 21225
20 0.911392 0.929032 0.920128 620
avg / total 0.995467 0.993912 0.994686 21845
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 10.0
precision recall f1-score support
10 0.088608 0.220721 0.126452 222
11 0.093633 0.135624 0.110783 553
12 0.059783 0.061111 0.060440 540
13 0.032590 0.035316 0.033898 538
14 0.017857 0.019841 0.018797 504
15 0.004864 0.009921 0.006527 504
16 0.015228 0.012579 0.013777 477
17 0.016878 0.008547 0.011348 468
18 0.019231 0.010684 0.013736 468
19 0.800182 0.778753 0.789322 15833
20 0.628065 0.530495 0.575172 1738
avg / total 0.637113 0.616068 0.625693 21845
Classification report for turbine 10, turbine category 10.0
precision recall f1-score support
10 0.037143 0.089655 0.052525 145
11 0.063492 0.062500 0.062992 256
12 0.019512 0.015873 0.017505 252
13 0.004926 0.003968 0.004396 252
14 0.010000 0.003968 0.005682 252
15 0.013699 0.015873 0.014706 252
16 0.000000 0.000000 0.000000 252
17 0.068376 0.032520 0.044077 246
18 0.010204 0.004630 0.006369 216
19 0.893263 0.921927 0.907368 16984
20 0.829586 0.768079 0.797648 2738
avg / total 0.800887 0.815244 0.807568 21845
Classification report for turbine 10, turbine category 10.0
precision recall f1-score support
10 0.101173 0.450980 0.165269 153
11 0.000000 0.000000 0.000000 116
12 0.000000 0.000000 0.000000 108
13 0.026316 0.009259 0.013699 108
14 0.000000 0.000000 0.000000 108
15 0.012821 0.018519 0.015152 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.922482 0.906300 0.914319 13682
20 0.940178 0.900532 0.919928 7138
avg / total 0.885882 0.865187 0.874551 21845
Classification report for turbine 10, turbine category 10.0
precision recall f1-score support
10 0.750000 0.736364 0.743119 110
11 0.046875 0.020833 0.028846 144
12 0.015873 0.008065 0.010695 124
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 84
18 0.020408 0.027778 0.023529 72
19 0.956267 0.968190 0.962191 20371
20 0.735612 0.805118 0.768797 508
avg / total 0.913092 0.925566 0.919216 21845
Classification report for turbine 10, turbine category 10.0
precision recall f1-score support
10 0.014706 0.021739 0.017544 46
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.973722 0.977061 0.975389 20707
20 0.747126 0.881783 0.808889 516
avg / total 0.940676 0.947036 0.943720 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 11.0
precision recall f1-score support
10 0.763833 0.748677 0.756179 756
11 0.000000 0.000000 0.000000 72
12 0.038095 0.055556 0.045198 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.005435 0.013889 0.007812 72
16 0.005128 0.013889 0.007491 72
17 0.017699 0.055556 0.026846 72
18 0.000000 0.000000 0.000000 72
19 0.951906 0.889543 0.919668 19202
20 0.658706 0.652174 0.655424 1311
avg / total 0.902920 0.847425 0.874191 21845
Classification report for turbine 10, turbine category 11.0
precision recall f1-score support
10 0.710871 0.513649 0.596378 1795
11 0.173077 0.132743 0.150250 339
12 0.019391 0.023810 0.021374 294
13 0.000000 0.000000 0.000000 288
14 0.031746 0.006944 0.011396 288
15 0.049383 0.013889 0.021680 288
16 0.000000 0.000000 0.000000 288
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 288
19 0.872358 0.957007 0.912724 16561
20 0.509030 0.674645 0.580252 1128
avg / total 0.750060 0.805219 0.773971 21845
Classification report for turbine 10, turbine category 11.0
precision recall f1-score support
10 0.007567 0.383721 0.014841 86
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.946916 0.916055 0.931230 14176
20 0.848754 0.354788 0.500403 7007
avg / total 0.886763 0.709773 0.764876 21845
Classification report for turbine 10, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995005 0.976248 0.985537 21219
20 0.758564 0.742812 0.750605 626
avg / total 0.988229 0.969558 0.978805 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.983972 0.991163 0.987554 20935
20 0.898687 0.776337 0.833043 617
avg / total 0.968365 0.971801 0.969945 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.978447 0.972219 0.975323 19798
20 0.769450 0.792379 0.780746 2047
avg / total 0.958862 0.955367 0.957090 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 16.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
19 0.976695 0.987476 0.982056 18844
20 0.928311 0.850050 0.887459 3001
avg / total 0.970049 0.968597 0.969061 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 16.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
19 0.978240 0.975553 0.976895 14562
20 0.951516 0.956611 0.954057 7283
avg / total 0.969330 0.969238 0.969281 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 16.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
19 0.996357 0.992507 0.994428 21219
20 0.782051 0.876997 0.826807 626
avg / total 0.990216 0.989197 0.989625 21845
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 16.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
19 0.998113 0.996985 0.997549 21225
20 0.907668 0.935484 0.921366 620
avg / total 0.995546 0.995239 0.995386 21845
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 10, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 62
11 0.000000 0.000000 0.000000 360
12 0.000000 0.000000 0.000000 360
13 0.000000 0.000000 0.000000 360
14 0.047619 0.002778 0.005249 360
15 0.000000 0.000000 0.000000 360
16 0.021277 0.002959 0.005195 338
17 0.000000 0.000000 0.000000 324
18 0.035714 0.006173 0.010526 324
19 0.855770 0.969385 0.909041 17181
20 0.673007 0.818282 0.738569 1816
avg / total 0.730651 0.830625 0.776678 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 11
11 0.005747 0.013889 0.008130 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.003745 0.013889 0.005900 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.956084 0.913312 0.934209 18307
20 0.912268 0.849204 0.879607 2951
avg / total 0.924505 0.880201 0.901776 21845
Classification report for turbine 10, turbine category 18.0
precision recall f1-score support
10 0.066667 0.083333 0.074074 24
11 0.050847 0.020833 0.029557 144
12 0.020000 0.006944 0.010309 144
13 0.000000 0.000000 0.000000 144
14 0.020408 0.020833 0.020619 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.903325 0.907121 0.905219 13566
20 0.933957 0.913839 0.923789 7103
avg / total 0.865331 0.860883 0.863006 21845
Classification report for turbine 10, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.035714 0.018519 0.024390 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.956228 0.972532 0.964311 20351
20 0.778426 0.871126 0.822171 613
avg / total 0.912851 0.930556 0.921553 21845
Classification report for turbine 10, turbine category 18.0
precision recall f1-score support
10 0.090909 0.041667 0.057143 24
11 0.034188 0.027778 0.030651 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.024390 0.006944 0.010811 144
15 0.000000 0.000000 0.000000 144
16 0.019608 0.006944 0.010256 144
17 0.000000 0.000000 0.000000 144
18 0.023256 0.006944 0.010695 144
19 0.944353 0.972082 0.958017 20059
20 0.884311 0.914754 0.899275 610
avg / total 0.892607 0.918517 0.905277 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 19.0
precision recall f1-score support
19 0.981620 0.963027 0.972234 19798
20 0.697770 0.825598 0.756321 2047
avg / total 0.955021 0.950149 0.952002 21845
Classification report for turbine 10, turbine category 19.0
precision recall f1-score support
19 0.987937 0.990925 0.989429 18844
20 0.941916 0.924025 0.932885 3001
avg / total 0.981615 0.981735 0.981661 21845
Classification report for turbine 10, turbine category 19.0
precision recall f1-score support
19 0.983210 0.973149 0.978154 14562
20 0.947390 0.966772 0.956983 7283
avg / total 0.971267 0.971023 0.971095 21845
Classification report for turbine 10, turbine category 19.0
precision recall f1-score support
19 0.996596 0.993402 0.994996 21219
20 0.798271 0.884984 0.839394 626
avg / total 0.990913 0.990295 0.990537 21845
Classification report for turbine 10, turbine category 19.0
precision recall f1-score support
19 0.998302 0.997032 0.997666 21225
20 0.902628 0.941935 0.921863 620
avg / total 0.995586 0.995468 0.995515 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 20.0
precision recall f1-score support
19 0.980608 0.968027 0.974277 19798
20 0.724902 0.814851 0.767249 2047
avg / total 0.956647 0.953674 0.954877 21845
Classification report for turbine 10, turbine category 20.0
precision recall f1-score support
19 0.987939 0.991085 0.989509 18844
20 0.942877 0.924025 0.933356 3001
avg / total 0.981749 0.981872 0.981795 21845
Classification report for turbine 10, turbine category 20.0
precision recall f1-score support
19 0.982810 0.977613 0.980204 14562
20 0.955707 0.965811 0.960732 7283
avg / total 0.973774 0.973678 0.973713 21845
Classification report for turbine 10, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.984578 0.993128 0.988835 20956
20 0.743989 0.894558 0.812355 588
avg / total 0.964535 0.976791 0.970459 21845
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 10, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.125000 0.027778 0.045455 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.988381 0.995339 0.991848 21024
20 0.760766 0.905123 0.826690 527
avg / total 0.969794 0.979812 0.974589 21845
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977823 0.991798 0.984761 16582
20 0.901956 0.914569 0.908219 3933
avg / total 0.949760 0.963282 0.956473 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 26
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.954908 0.987000 0.970689 18538
20 0.836066 0.678261 0.748941 1955
avg / total 0.929331 0.943096 0.935205 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.966096 0.981700 0.973835 13497
20 0.971218 0.918605 0.944179 7310
avg / total 0.967895 0.959533 0.963416 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.964191 0.988563 0.976225 18712
20 0.849718 0.755989 0.800118 1795
avg / total 0.940413 0.954246 0.946957 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989373 0.993325 0.991345 19027
20 0.943577 0.883146 0.912362 1780
avg / total 0.985456 0.983900 0.984589 20807
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.969017 0.948589 0.958694 16650
20 0.955012 0.873226 0.912290 4157
avg / total 0.966219 0.933532 0.949423 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.974003 0.985044 0.979492 18789
20 0.877719 0.739841 0.802904 2018
avg / total 0.964665 0.961263 0.962366 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.910769 0.956798 0.933216 13356
20 0.950428 0.838246 0.890819 7159
avg / total 0.911633 0.902581 0.905532 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.974839 0.984998 0.979892 18998
20 0.861039 0.733002 0.791878 1809
avg / total 0.964945 0.963089 0.963546 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988804 0.993325 0.991059 19027
20 0.942598 0.876404 0.908297 1780
avg / total 0.984851 0.983323 0.983979 20807
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 4.0
precision recall f1-score support
19 0.972409 0.990631 0.981435 16650
20 0.959428 0.887419 0.922019 4157
avg / total 0.969815 0.970010 0.969565 20807
Classification report for turbine 11, turbine category 4.0
precision recall f1-score support
19 0.979095 0.987120 0.983091 18789
20 0.870172 0.803766 0.835652 2018
avg / total 0.968531 0.969337 0.968792 20807
Classification report for turbine 11, turbine category 4.0
precision recall f1-score support
19 0.971393 0.983700 0.977508 13497
20 0.969183 0.946512 0.957713 7310
avg / total 0.970617 0.970635 0.970554 20807
Classification report for turbine 11, turbine category 4.0
precision recall f1-score support
19 0.979049 0.986367 0.982694 18998
20 0.844631 0.778331 0.810127 1809
avg / total 0.967363 0.968280 0.967691 20807
Classification report for turbine 11, turbine category 4.0
precision recall f1-score support
19 0.990587 0.995533 0.993054 19027
20 0.949555 0.898876 0.923521 1780
avg / total 0.987077 0.987264 0.987105 20807
------------------------------------------------------------------------
Classification report for turbine 11, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.968718 0.952252 0.960414 16650
20 0.959459 0.853981 0.903653 4157
avg / total 0.966868 0.932619 0.949074 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 5.0
precision recall f1-score support
10 0.666667 0.039683 0.074906 252
11 0.000000 0.000000 0.000000 292
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 236
14 0.000000 0.000000 0.000000 216
15 0.000000 0.000000 0.000000 183
16 0.333333 0.022222 0.041667 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.879287 0.949246 0.912928 17043
20 0.528178 0.674289 0.592357 1793
avg / total 0.776696 0.836305 0.800092 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.923031 0.943990 0.933393 13212
20 0.962181 0.892070 0.925800 7301
avg / total 0.923726 0.912433 0.917540 20807
Classification report for turbine 11, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.975227 0.978050 0.976637 18998
20 0.861886 0.717523 0.783107 1809
avg / total 0.965373 0.955400 0.959811 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 31
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.979582 0.989555 0.984543 18860
20 0.855569 0.858722 0.857143 1628
avg / total 0.954861 0.964147 0.959481 20807
------------------------------------------------------------------------
Classification report for turbine 11, turbine category 6.0
precision recall f1-score support
19 0.975222 0.990450 0.982777 16650
20 0.959199 0.899206 0.928234 4157
avg / total 0.972021 0.972221 0.971880 20807
Classification report for turbine 11, turbine category 6.0
precision recall f1-score support
19 0.979177 0.988557 0.983844 18789
20 0.883025 0.804262 0.841805 2018
avg / total 0.969851 0.970683 0.970069 20807
Classification report for turbine 11, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 269
11 0.000000 0.000000 0.000000 42
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.949133 0.982794 0.965670 13309
20 0.917734 0.929776 0.923716 6935
avg / total 0.912986 0.938530 0.925557 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 96
11 0.000000 0.000000 0.000000 44
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.958838 0.985363 0.971920 18652
20 0.827428 0.715258 0.767265 1763
avg / total 0.929639 0.943913 0.936268 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988245 0.994114 0.991170 19027
20 0.951265 0.866292 0.906792 1780
avg / total 0.985081 0.983179 0.983952 20807
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 7.0
precision recall f1-score support
19 0.978327 0.989550 0.983906 16650
20 0.956127 0.912196 0.933645 4157
avg / total 0.973891 0.974095 0.973865 20807
Classification report for turbine 11, turbine category 7.0
precision recall f1-score support
19 0.976657 0.988717 0.982650 18789
20 0.881299 0.779980 0.827550 2018
avg / total 0.967409 0.968472 0.967607 20807
Classification report for turbine 11, turbine category 7.0
precision recall f1-score support
19 0.965517 0.983330 0.974342 13497
20 0.968135 0.935157 0.951360 7310
avg / total 0.966437 0.966406 0.966268 20807
Classification report for turbine 11, turbine category 7.0
precision recall f1-score support
19 0.977610 0.988262 0.982907 18998
20 0.860799 0.762300 0.808561 1809
avg / total 0.967454 0.968616 0.967749 20807
Classification report for turbine 11, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1127
11 0.000000 0.000000 0.000000 720
12 0.000000 0.000000 0.000000 300
13 0.000000 0.000000 0.000000 159
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.894784 0.996794 0.943038 17157
20 0.402597 0.848259 0.546037 804
avg / total 0.753376 0.854712 0.798708 20807
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1111
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.905438 0.989804 0.945743 15594
20 0.739909 0.854849 0.793237 3238
avg / total 0.793734 0.874850 0.832240 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.978624 0.972218 0.975410 18789
20 0.849883 0.538652 0.659387 2018
avg / total 0.966138 0.930168 0.944760 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.942568 0.953323 0.947915 13497
20 0.972267 0.820109 0.889730 7310
avg / total 0.953002 0.906522 0.927473 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 91
11 0.250000 0.004425 0.008696 226
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 181
15 0.000000 0.000000 0.000000 147
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.500000 0.006944 0.013699 144
19 0.903604 0.984901 0.942503 17617
20 0.789330 0.686496 0.734330 1681
avg / total 0.835015 0.889460 0.857520 20807
Classification report for turbine 11, turbine category 8.0
precision recall f1-score support
10 0.083333 0.200000 0.117647 20
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.920721 0.991530 0.954815 17710
20 0.872458 0.864997 0.868712 1637
avg / total 0.852399 0.912193 0.881156 20807
------------------------------------------------------------------------
Classification report for turbine 11, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 47
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.949218 0.937561 0.943353 16368
20 0.942783 0.798977 0.864943 4104
avg / total 0.932666 0.895131 0.912699 20807
Classification report for turbine 11, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.972943 0.976050 0.974494 18789
20 0.878450 0.741328 0.804085 2018
avg / total 0.963778 0.953285 0.957966 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.937373 0.953693 0.945463 13497
20 0.968977 0.875923 0.920103 7310
avg / total 0.948476 0.926371 0.936553 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.974909 0.985788 0.980318 18998
20 0.872497 0.722499 0.790445 1809
avg / total 0.966005 0.962897 0.963810 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989514 0.991906 0.990709 19027
20 0.944345 0.886517 0.914518 1780
avg / total 0.985650 0.982890 0.984191 20807
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 10.0
precision recall f1-score support
10 0.071795 0.308824 0.116505 136
11 0.004902 0.011111 0.006803 180
12 0.042781 0.044444 0.043597 180
13 0.000000 0.000000 0.000000 180
14 0.011628 0.006173 0.008065 162
15 0.000000 0.000000 0.000000 144
16 0.009091 0.013889 0.010989 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.894307 0.901849 0.898062 15415
20 0.930810 0.754148 0.833218 3978
avg / total 0.841546 0.814966 0.825971 20807
Classification report for turbine 11, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971104 0.942709 0.956696 18502
20 0.869901 0.783905 0.824667 2013
avg / total 0.947685 0.914115 0.930496 20807
Classification report for turbine 11, turbine category 10.0
precision recall f1-score support
10 0.242718 0.332447 0.280584 376
11 0.041667 0.010929 0.017316 183
12 0.037500 0.019481 0.025641 154
13 0.000000 0.000000 0.000000 144
14 0.030303 0.006944 0.011299 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 169
19 0.863515 0.933867 0.897314 12127
20 0.940859 0.910285 0.925320 7078
avg / total 0.828580 0.860239 0.843244 20807
Classification report for turbine 11, turbine category 10.0
precision recall f1-score support
10 0.187291 0.282828 0.225352 198
11 0.027778 0.003472 0.006173 288
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.000000 0.000000 0.000000 288
15 0.000000 0.000000 0.000000 288
16 0.000000 0.000000 0.000000 288
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 263
19 0.861352 0.961961 0.908881 16746
20 0.796309 0.708333 0.749749 1584
avg / total 0.756026 0.830874 0.790797 20807
Classification report for turbine 11, turbine category 10.0
precision recall f1-score support
10 0.312217 0.193277 0.238754 357
11 0.000000 0.000000 0.000000 187
12 0.000000 0.000000 0.000000 180
13 0.025000 0.005556 0.009091 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 167
16 0.000000 0.000000 0.000000 144
17 0.034483 0.006944 0.011561 144
18 0.000000 0.000000 0.000000 144
19 0.916924 0.979799 0.947319 17573
20 0.818787 0.792392 0.805374 1551
avg / total 0.841254 0.889989 0.864368 20807
------------------------------------------------------------------------
Classification report for turbine 11, turbine category 11.0
precision recall f1-score support
10 0.576543 0.341250 0.428735 2737
11 0.102041 0.099206 0.100604 252
12 0.000000 0.000000 0.000000 252
13 0.031915 0.011905 0.017341 252
14 0.012346 0.003968 0.006006 252
15 0.019231 0.003968 0.006579 252
16 0.000000 0.000000 0.000000 252
17 0.021277 0.007937 0.011561 252
18 0.014388 0.007937 0.010230 252
19 0.860309 0.943937 0.900185 14680
20 0.279617 0.467249 0.349864 1374
avg / total 0.703717 0.743356 0.716454 20807
Classification report for turbine 11, turbine category 11.0
precision recall f1-score support
10 0.752825 0.294313 0.423184 1811
11 0.124060 0.320388 0.178862 103
12 0.000000 0.000000 0.000000 72
13 0.062500 0.041667 0.050000 72
14 0.041667 0.013889 0.020833 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.014706 0.013889 0.014286 72
18 0.022222 0.013889 0.017094 72
19 0.936361 0.968682 0.952247 17817
20 0.380465 0.715035 0.496661 572
avg / total 0.878890 0.876628 0.867133 20807
Classification report for turbine 11, turbine category 11.0
precision recall f1-score support
10 0.001926 0.137500 0.003798 80
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.888740 0.895008 0.891863 12620
20 0.895942 0.189010 0.312165 7243
avg / total 0.850933 0.609170 0.649619 20807
Classification report for turbine 11, turbine category 11.0
precision recall f1-score support
10 0.388235 0.242902 0.298836 951
11 0.000000 0.000000 0.000000 319
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.000000 0.000000 0.000000 288
15 0.000000 0.000000 0.000000 231
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 216
18 0.016667 0.004630 0.007246 216
19 0.876435 0.966797 0.919401 16896
20 0.539982 0.669265 0.597713 898
avg / total 0.752918 0.825107 0.786116 20807
Classification report for turbine 11, turbine category 11.0
precision recall f1-score support
10 0.100213 0.305195 0.150883 154
11 0.000000 0.000000 0.000000 324
12 0.000000 0.000000 0.000000 324
13 0.025000 0.003086 0.005495 324
14 0.000000 0.000000 0.000000 324
15 0.000000 0.000000 0.000000 324
16 0.000000 0.000000 0.000000 324
17 0.000000 0.000000 0.000000 324
18 0.055556 0.003086 0.005848 324
19 0.857128 0.971366 0.910678 16484
20 0.867395 0.705136 0.777894 1577
avg / total 0.746783 0.825347 0.781721 20807
------------------------------------------------------------------------
Classification report for turbine 11, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.973220 0.973453 0.973337 16650
20 0.968359 0.876113 0.919929 4157
avg / total 0.972249 0.954006 0.962666 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.966890 0.985862 0.976284 18602
20 0.814794 0.755102 0.783813 1911
avg / total 0.939259 0.950738 0.944812 20807
Classification report for turbine 11, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.913013 0.951841 0.932023 13497
20 0.964348 0.828865 0.891488 7310
avg / total 0.931048 0.908637 0.917782 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.975570 0.981630 0.978591 18998
20 0.843586 0.712548 0.772550 1809
avg / total 0.964095 0.958235 0.960677 20807
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.
'recall', 'true', average, warn_for)
Classification report for turbine 11, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975441 0.993440 0.984358 18751
20 0.930012 0.893447 0.911363 1755
avg / total 0.957498 0.970635 0.963962 20807
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 49
11 0.000000 0.000000 0.000000 288
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.055556 0.007326 0.012945 273
15 0.075000 0.011905 0.020548 252
16 0.000000 0.000000 0.000000 252
17 0.042553 0.007937 0.013378 252
18 0.027778 0.017699 0.021622 226
19 0.864637 0.973972 0.916054 14638
20 0.929941 0.909023 0.919363 4001
avg / total 0.789557 0.860528 0.822057 20807
Classification report for turbine 11, turbine category 18.0
precision recall f1-score support
10 0.032787 0.166667 0.054795 12
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.010753 0.013889 0.012121 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.946797 0.954466 0.950616 18272
20 0.814164 0.738059 0.774246 1947
avg / total 0.907686 0.907387 0.907322 20807
Classification report for turbine 11, turbine category 18.0
precision recall f1-score support
10 0.200000 0.076923 0.111111 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.034483 0.013889 0.019802 72
14 0.028571 0.013889 0.018692 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.906405 0.958701 0.931820 12930
20 0.962821 0.899012 0.929823 7288
avg / total 0.900851 0.910799 0.904945 20807
Classification report for turbine 11, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 72
12 0.052632 0.027778 0.036364 72
13 0.000000 0.000000 0.000000 72
14 0.057143 0.055556 0.056338 72
15 0.000000 0.000000 0.000000 72
16 0.029412 0.013889 0.018868 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.952923 0.973100 0.962906 18513
20 0.785938 0.734311 0.759248 1705
avg / total 0.912746 0.926323 0.919345 20807
Classification report for turbine 11, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.037037 0.009259 0.014815 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.947604 0.986825 0.966817 18217
20 0.901257 0.882250 0.891652 1707
avg / total 0.903780 0.936416 0.919698 20807
------------------------------------------------------------------------
Classification report for turbine 11, turbine category 19.0
precision recall f1-score support
19 0.975231 0.988468 0.981805 16650
20 0.951157 0.899447 0.924580 4157
avg / total 0.970421 0.970683 0.970372 20807
Classification report for turbine 11, turbine category 19.0
precision recall f1-score support
19 0.972952 0.987865 0.980352 18789
20 0.868208 0.744301 0.801494 2018
avg / total 0.962793 0.964243 0.963005 20807
Classification report for turbine 11, turbine category 19.0
precision recall f1-score support
19 0.959263 0.983996 0.971472 13497
20 0.968974 0.922845 0.945348 7310
avg / total 0.962675 0.962513 0.962294 20807
Classification report for turbine 11, turbine category 19.0
precision recall f1-score support
19 0.978074 0.988525 0.983272 18998
20 0.864259 0.767275 0.812884 1809
avg / total 0.968179 0.969289 0.968458 20807
Classification report for turbine 11, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 66
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 68
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.967130 0.995696 0.981205 18587
20 0.921005 0.891657 0.906094 1726
avg / total 0.940342 0.963426 0.951679 20807
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 20.0
precision recall f1-score support
19 0.974236 0.990210 0.982158 16650
20 0.958033 0.895117 0.925507 4157
avg / total 0.970999 0.971212 0.970840 20807
Classification report for turbine 11, turbine category 20.0
precision recall f1-score support
19 0.976814 0.986588 0.981677 18789
20 0.862295 0.781962 0.820166 2018
avg / total 0.965707 0.966742 0.966012 20807
Classification report for turbine 11, turbine category 20.0
precision recall f1-score support
19 0.956741 0.983181 0.969781 13497
20 0.967277 0.917921 0.941953 7310
avg / total 0.960443 0.960254 0.960004 20807
Classification report for turbine 11, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962494 0.987652 0.974911 18708
20 0.845963 0.760045 0.800705 1792
avg / total 0.938257 0.953477 0.945523 20807
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 11, turbine category 20.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989494 0.994955 0.992217 19027
20 0.951778 0.887079 0.918290 1780
avg / total 0.986268 0.985726 0.985892 20807
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.956231 0.985691 0.970737 18729
20 0.770586 0.690022 0.728082 2726
avg / total 0.920121 0.935393 0.927286 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.947194 0.971439 0.959163 15861
20 0.905438 0.866416 0.885498 5592
avg / total 0.923652 0.931301 0.927254 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.943473 0.985396 0.963978 16091
20 0.957451 0.831506 0.890045 5656
avg / total 0.947108 0.945372 0.944750 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985271 0.988231 0.986749 19968
20 0.866902 0.827431 0.846707 1779
avg / total 0.975588 0.975077 0.975293 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.992300 0.992547 0.992423 20125
20 0.912881 0.904439 0.908640 1622
avg / total 0.986377 0.985975 0.986174 21747
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 3.0
precision recall f1-score support
19 0.954792 0.985584 0.969944 18729
20 0.888152 0.710404 0.789396 3018
avg / total 0.945544 0.947395 0.944888 21747
Classification report for turbine 12, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.932527 0.970581 0.951173 15806
20 0.910687 0.854536 0.881718 5644
avg / total 0.914123 0.927208 0.920158 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.921229 0.984090 0.951623 16091
20 0.953447 0.760431 0.846071 5656
avg / total 0.929608 0.925921 0.924170 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986937 0.987530 0.987233 19968
20 0.880441 0.852726 0.866362 1779
avg / total 0.978225 0.976503 0.977346 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991649 0.991304 0.991477 20125
20 0.905919 0.896424 0.901147 1622
avg / total 0.985255 0.984228 0.984740 21747
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 4.0
precision recall f1-score support
19 0.962309 0.984249 0.973156 18729
20 0.886144 0.760769 0.818684 3018
avg / total 0.951739 0.953235 0.951718 21747
Classification report for turbine 12, turbine category 4.0
precision recall f1-score support
19 0.961437 0.971294 0.966340 16094
20 0.915816 0.889085 0.902253 5653
avg / total 0.949578 0.949924 0.949681 21747
Classification report for turbine 12, turbine category 4.0
precision recall f1-score support
19 0.949165 0.985147 0.966821 16091
20 0.952636 0.849894 0.898337 5656
avg / total 0.950067 0.949970 0.949010 21747
Classification report for turbine 12, turbine category 4.0
precision recall f1-score support
19 0.989692 0.990535 0.990113 19968
20 0.892736 0.884205 0.888450 1779
avg / total 0.981761 0.981837 0.981797 21747
Classification report for turbine 12, turbine category 4.0
precision recall f1-score support
19 0.993923 0.991503 0.992712 20125
20 0.897666 0.924784 0.911023 1622
avg / total 0.986744 0.986527 0.986619 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 5.0
precision recall f1-score support
19 0.956391 0.984783 0.970379 18729
20 0.884240 0.721339 0.794526 3018
avg / total 0.946378 0.948223 0.945975 21747
Classification report for turbine 12, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 152
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 78
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.933976 0.972827 0.953006 15530
20 0.871657 0.909534 0.890192 5339
avg / total 0.880969 0.918012 0.899109 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.928927 0.956398 0.942462 15825
20 0.952122 0.841123 0.893187 5627
avg / total 0.922327 0.913597 0.916928 21747
Classification report for turbine 12, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981937 0.980068 0.981002 19968
20 0.874451 0.783024 0.826216 1779
avg / total 0.973144 0.963949 0.968339 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990601 0.984547 0.987564 20125
20 0.903872 0.834772 0.867949 1622
avg / total 0.984132 0.973376 0.978643 21747
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 6.0
precision recall f1-score support
19 0.957978 0.984730 0.971170 18729
20 0.885371 0.731942 0.801379 3018
avg / total 0.947902 0.949648 0.947607 21747
Classification report for turbine 12, turbine category 6.0
precision recall f1-score support
19 0.970016 0.972909 0.971460 16094
20 0.922212 0.914382 0.918280 5653
avg / total 0.957590 0.957695 0.957637 21747
Classification report for turbine 12, turbine category 6.0
precision recall f1-score support
19 0.949676 0.985147 0.967087 16091
20 0.952720 0.851485 0.899262 5656
avg / total 0.950468 0.950384 0.949447 21747
Classification report for turbine 12, turbine category 6.0
precision recall f1-score support
19 0.987875 0.987430 0.987652 19968
20 0.859620 0.863969 0.861789 1779
avg / total 0.977383 0.977330 0.977356 21747
Classification report for turbine 12, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 361
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.964959 0.993085 0.978820 19522
20 0.702899 0.903727 0.790761 1288
avg / total 0.907862 0.945004 0.925508 21747
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
19 0.952349 0.983875 0.967855 18729
20 0.880851 0.685885 0.771237 3018
avg / total 0.942427 0.942521 0.940569 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 7.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
19 0.966302 0.971045 0.968668 16094
20 0.916562 0.903591 0.910030 5653
avg / total 0.953372 0.953511 0.953425 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
19 0.934667 0.986887 0.960068 16091
20 0.956037 0.803571 0.873199 5656
avg / total 0.940225 0.939210 0.937475 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.972095 0.989431 0.980686 19681
20 0.876096 0.845937 0.860752 1772
avg / total 0.951131 0.964363 0.957656 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977328 0.990826 0.984031 19839
20 0.890267 0.894704 0.892480 1605
avg / total 0.957286 0.969927 0.963564 21747
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 8.0
precision recall f1-score support
19 0.957635 0.986064 0.971642 18729
20 0.893989 0.729291 0.803285 3018
avg / total 0.948803 0.950430 0.948278 21747
Classification report for turbine 12, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1082
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.868684 0.968595 0.915923 14520
20 0.876912 0.922742 0.899243 5281
avg / total 0.792949 0.870787 0.829913 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.940940 0.959418 0.950089 16091
20 0.949549 0.818600 0.879225 5656
avg / total 0.943179 0.922794 0.931659 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 8.0
precision recall f1-score support
10 0.061224 0.044776 0.051724 67
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.959068 0.986750 0.972712 19471
20 0.806452 0.796081 0.801233 1633
avg / total 0.919439 0.943394 0.931234 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 93
11 0.000000 0.000000 0.000000 127
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.945070 0.981810 0.963089 19241
20 0.838796 0.819608 0.829091 1530
avg / total 0.895178 0.926335 0.910439 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 9.0
precision recall f1-score support
19 0.973727 0.985477 0.979567 18729
20 0.902579 0.834990 0.867470 3018
avg / total 0.963853 0.964593 0.964010 21747
Classification report for turbine 12, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.956816 0.973305 0.964990 15958
20 0.895539 0.900602 0.898063 5483
avg / total 0.927903 0.941279 0.934538 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.960577 0.960040 0.960308 16091
20 0.951677 0.887907 0.918687 5656
avg / total 0.958262 0.941279 0.949483 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.988427 0.988031 0.988229 19968
20 0.888249 0.866779 0.877383 1779
avg / total 0.980232 0.978112 0.979161 21747
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.993144 0.986087 0.989603 20125
20 0.905347 0.908138 0.906741 1622
avg / total 0.986596 0.980273 0.983423 21747
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 12, turbine category 10.0
precision recall f1-score support
10 0.006993 0.020000 0.010363 50
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.172414 0.046296 0.072993 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.910129 0.972522 0.940292 17869
20 0.881250 0.665992 0.758647 2964
avg / total 0.868814 0.890146 0.876401 21747
Classification report for turbine 12, turbine category 10.0
precision recall f1-score support
10 0.154321 0.009575 0.018031 2611
11 0.000000 0.000000 0.000000 703
12 0.000000 0.000000 0.000000 480
13 0.000000 0.000000 0.000000 426
14 0.047619 0.008310 0.014151 361
15 0.000000 0.000000 0.000000 296
16 0.000000 0.000000 0.000000 249
17 0.031056 0.023148 0.026525 216
18 0.000000 0.000000 0.000000 216
19 0.812136 0.956509 0.878430 13405
20 0.439748 0.852011 0.580093 2784
avg / total 0.576529 0.700189 0.618395 21747
Classification report for turbine 12, turbine category 10.0
precision recall f1-score support
10 0.001062 0.011765 0.001948 170
11 0.000000 0.000000 0.000000 72
12 0.048387 0.083333 0.061224 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.924630 0.905813 0.915125 15724
20 0.852285 0.455941 0.594074 5277
avg / total 0.875525 0.765945 0.806046 21747
Classification report for turbine 12, turbine category 10.0
precision recall f1-score support
10 0.085890 0.115702 0.098592 121
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.031250 0.027778 0.029412 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973961 0.970900 0.972428 19725
20 0.787575 0.730936 0.758199 1613
avg / total 0.942349 0.935531 0.938847 21747
Classification report for turbine 12, turbine category 10.0
precision recall f1-score support
10 0.094340 0.041152 0.057307 243
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.029851 0.055556 0.038835 36
15 0.000000 0.000000 0.000000 36
16 0.033333 0.027778 0.030303 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980643 0.970215 0.975401 19842
20 0.743813 0.809316 0.775183 1374
avg / total 0.942894 0.936957 0.939689 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 11.0
precision recall f1-score support
10 0.957627 0.265882 0.416206 1275
11 0.000000 0.000000 0.000000 216
12 0.018727 0.023148 0.020704 216
13 0.000000 0.000000 0.000000 216
14 0.037736 0.010695 0.016667 187
15 0.000000 0.000000 0.000000 180
16 0.022222 0.011111 0.014815 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.874899 0.942914 0.907634 17237
20 0.652580 0.790476 0.714939 1680
avg / total 0.800710 0.824436 0.799508 21747
Classification report for turbine 12, turbine category 11.0
precision recall f1-score support
10 0.384688 0.659287 0.485873 1852
11 0.016393 0.005348 0.008065 374
12 0.021053 0.005698 0.008969 351
13 0.000000 0.000000 0.000000 324
14 0.000000 0.000000 0.000000 324
15 0.000000 0.000000 0.000000 324
16 0.000000 0.000000 0.000000 324
17 0.000000 0.000000 0.000000 303
18 0.000000 0.000000 0.000000 281
19 0.864604 0.865748 0.865175 14361
20 0.514423 0.438375 0.473364 2929
avg / total 0.673623 0.687083 0.676749 21747
Classification report for turbine 12, turbine category 11.0
precision recall f1-score support
10 0.003650 0.113402 0.007072 97
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 95
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.911640 0.924666 0.918107 15398
20 0.933620 0.350296 0.509446 5581
avg / total 0.885103 0.745114 0.780839 21747
Classification report for turbine 12, turbine category 11.0
precision recall f1-score support
10 0.466077 0.353468 0.402036 447
11 0.000000 0.000000 0.000000 151
12 0.000000 0.000000 0.000000 115
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.017241 0.009259 0.012048 108
19 0.939677 0.968569 0.953904 19026
20 0.691099 0.679412 0.685206 1360
avg / total 0.874989 0.897181 0.885726 21747
Classification report for turbine 12, turbine category 11.0
precision recall f1-score support
10 0.178218 0.134328 0.153191 134
11 0.041667 0.012903 0.019704 155
12 0.019608 0.006944 0.010256 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 130
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.947806 0.969945 0.958748 19265
20 0.742023 0.813850 0.776278 1343
avg / total 0.886982 0.910470 0.898417 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 16.0
precision recall f1-score support
19 0.961132 0.984943 0.972892 18729
20 0.889585 0.752816 0.815506 3018
avg / total 0.951203 0.952729 0.951050 21747
Classification report for turbine 12, turbine category 16.0
precision recall f1-score support
19 0.962704 0.975146 0.968885 16094
20 0.926538 0.892446 0.909173 5653
avg / total 0.953303 0.953649 0.953363 21747
Classification report for turbine 12, turbine category 16.0
precision recall f1-score support
19 0.943441 0.986887 0.964675 16091
20 0.957070 0.831683 0.889982 5656
avg / total 0.946986 0.946521 0.945249 21747
Classification report for turbine 12, turbine category 16.0
precision recall f1-score support
19 0.990272 0.988982 0.989627 19968
20 0.878116 0.890950 0.884487 1779
avg / total 0.981097 0.980963 0.981026 21747
Classification report for turbine 12, turbine category 16.0
precision recall f1-score support
19 0.993383 0.992149 0.992766 20125
20 0.904068 0.918002 0.910982 1622
avg / total 0.986722 0.986619 0.986666 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 18.0
precision recall f1-score support
10 0.600000 0.054545 0.100000 55
11 0.185185 0.015432 0.028490 324
12 0.038462 0.003086 0.005714 324
13 0.000000 0.000000 0.000000 324
14 0.000000 0.000000 0.000000 324
15 0.000000 0.000000 0.000000 324
16 0.000000 0.000000 0.000000 324
17 0.090909 0.003367 0.006494 297
18 0.000000 0.000000 0.000000 288
19 0.844181 0.980763 0.907361 16583
20 0.739855 0.671318 0.703922 2580
avg / total 0.737589 0.827976 0.776264 21747
Classification report for turbine 12, turbine category 18.0
precision recall f1-score support
10 0.051282 0.166667 0.078431 24
11 0.027273 0.020833 0.023622 144
12 0.027397 0.027778 0.027586 144
13 0.046875 0.020833 0.028846 144
14 0.000000 0.000000 0.000000 144
15 0.030612 0.020833 0.024793 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.916789 0.936602 0.926590 15316
20 0.851136 0.855186 0.853156 5255
avg / total 0.852280 0.867062 0.859519 21747
Classification report for turbine 12, turbine category 18.0
precision recall f1-score support
10 0.011628 0.136364 0.021429 22
11 0.008621 0.013889 0.010638 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.011236 0.006944 0.008584 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.859211 0.911915 0.884779 15031
20 0.924086 0.724829 0.812418 5542
avg / total 0.829503 0.815285 0.818723 21747
Classification report for turbine 12, turbine category 18.0
precision recall f1-score support
10 0.166667 0.100000 0.125000 20
11 0.030303 0.027778 0.028986 108
12 0.011236 0.009259 0.010152 108
13 0.000000 0.000000 0.000000 108
14 0.039216 0.037037 0.038095 108
15 0.022727 0.018519 0.020408 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.948093 0.968236 0.958059 19204
20 0.835783 0.788427 0.811414 1659
avg / total 0.901653 0.915713 0.908527 21747
Classification report for turbine 12, turbine category 18.0
precision recall f1-score support
10 1.000000 0.120000 0.214286 25
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.024390 0.006944 0.010811 144
19 0.934395 0.972949 0.953282 19001
20 0.875491 0.851498 0.863328 1569
avg / total 0.880884 0.911712 0.895516 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 19.0
precision recall f1-score support
19 0.973763 0.984890 0.979295 18729
20 0.899073 0.835321 0.866025 3018
avg / total 0.963398 0.964133 0.963576 21747
Classification report for turbine 12, turbine category 19.0
precision recall f1-score support
19 0.954512 0.971356 0.962860 16094
20 0.914137 0.868212 0.890582 5653
avg / total 0.944017 0.944544 0.944072 21747
Classification report for turbine 12, turbine category 19.0
precision recall f1-score support
19 0.946146 0.984836 0.965104 16091
20 0.951180 0.840523 0.892435 5656
avg / total 0.947455 0.947303 0.946204 21747
Classification report for turbine 12, turbine category 19.0
precision recall f1-score support
19 0.988962 0.987179 0.988070 19968
20 0.858953 0.876335 0.867557 1779
avg / total 0.978327 0.978112 0.978212 21747
Classification report for turbine 12, turbine category 19.0
precision recall f1-score support
19 0.993875 0.991702 0.992787 20125
20 0.899760 0.924168 0.911800 1622
avg / total 0.986855 0.986665 0.986747 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 20.0
precision recall f1-score support
19 0.961330 0.986225 0.973618 18729
20 0.898144 0.753810 0.819672 3018
avg / total 0.952561 0.953971 0.952254 21747
Classification report for turbine 12, turbine category 20.0
precision recall f1-score support
19 0.966601 0.971045 0.968818 16094
20 0.916472 0.904475 0.910434 5653
avg / total 0.953570 0.953741 0.953641 21747
Classification report for turbine 12, turbine category 20.0
precision recall f1-score support
19 0.958509 0.986328 0.972220 16091
20 0.957603 0.878536 0.916367 5656
avg / total 0.958274 0.958293 0.957693 21747
Classification report for turbine 12, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975860 0.990463 0.983107 19713
20 0.866590 0.870595 0.868588 1731
avg / total 0.953565 0.967122 0.960294 21747
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 12, turbine category 20.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992340 0.991304 0.991822 20125
20 0.901659 0.904439 0.903047 1622
avg / total 0.985576 0.984825 0.985201 21747
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 70
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.959174 0.982008 0.970456 19953
20 0.698320 0.636909 0.666202 1501
avg / total 0.925480 0.942142 0.933591 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 124
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 168
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.883208 0.976348 0.927445 15305
20 0.873874 0.731580 0.796421 5171
avg / total 0.826898 0.858518 0.839577 21812
Classification report for turbine 13, turbine category 2.0
precision recall f1-score support
10 0.080000 0.007353 0.013468 272
11 0.007692 0.013889 0.009901 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 134
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.887993 0.953503 0.919582 13162
20 0.920633 0.879766 0.899735 7344
avg / total 0.846862 0.871768 0.858073 21812
Classification report for turbine 13, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.967928 0.973704 0.970807 18938
20 0.890505 0.766875 0.824079 2874
avg / total 0.957727 0.946451 0.951474 21812
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 2.0
precision recall f1-score support
10 0.740741 0.571429 0.645161 35
11 0.000000 0.000000 0.000000 73
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.955312 0.980954 0.967963 19112
20 0.867476 0.821360 0.843788 2088
avg / total 0.921288 0.939070 0.929953 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 3.0
precision recall f1-score support
10 0.034483 0.062500 0.044444 16
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.942129 0.921105 0.931498 19583
20 0.718440 0.618815 0.664916 1637
avg / total 0.899796 0.873464 0.886242 21812
Classification report for turbine 13, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 35
11 0.000000 0.000000 0.000000 72
12 0.026316 0.013889 0.018182 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.076923 0.013889 0.023529 72
19 0.927330 0.964859 0.945722 15765
20 0.928627 0.873620 0.900284 5436
avg / total 0.902018 0.915184 0.908044 21812
Classification report for turbine 13, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.961260 0.973812 0.967495 14167
20 0.965536 0.923479 0.944040 7645
avg / total 0.962759 0.956171 0.959274 21812
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.975281 0.981255 0.978259 18938
20 0.889642 0.821851 0.854404 2874
avg / total 0.963997 0.960251 0.961939 21812
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981999 0.989051 0.985512 19636
20 0.908818 0.833640 0.869607 2176
avg / total 0.974699 0.973547 0.973949 21812
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 4.0
precision recall f1-score support
19 0.973128 0.983467 0.978271 20142
20 0.771291 0.672455 0.718490 1670
avg / total 0.957675 0.959655 0.958381 21812
Classification report for turbine 13, turbine category 4.0
precision recall f1-score support
19 0.973481 0.980742 0.977098 16357
20 0.940934 0.919890 0.930293 5455
avg / total 0.965342 0.965524 0.965393 21812
Classification report for turbine 13, turbine category 4.0
precision recall f1-score support
19 0.974243 0.977201 0.975720 14167
20 0.957511 0.952126 0.954811 7645
avg / total 0.968379 0.968412 0.968391 21812
Classification report for turbine 13, turbine category 4.0
precision recall f1-score support
19 0.974671 0.985479 0.980045 18938
20 0.896772 0.831246 0.862766 2874
avg / total 0.964407 0.965157 0.964592 21812
Classification report for turbine 13, turbine category 4.0
precision recall f1-score support
19 0.986707 0.990426 0.988563 19636
20 0.910561 0.879596 0.894811 2176
avg / total 0.979111 0.979369 0.979210 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 5.0
precision recall f1-score support
19 0.973427 0.983914 0.978643 20142
20 0.777013 0.676048 0.723023 1670
avg / total 0.958389 0.960343 0.959071 21812
Classification report for turbine 13, turbine category 5.0
precision recall f1-score support
19 0.967254 0.980559 0.973861 16357
20 0.939197 0.900458 0.919420 5455
avg / total 0.960237 0.960526 0.960246 21812
Classification report for turbine 13, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.949850 0.977893 0.963667 13887
20 0.957418 0.943112 0.950211 7629
avg / total 0.939607 0.952457 0.945883 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 94
11 0.000000 0.000000 0.000000 125
12 0.000000 0.000000 0.000000 118
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.928124 0.983626 0.955069 18077
20 0.849621 0.815636 0.832282 2750
avg / total 0.876314 0.918027 0.896459 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 198
11 0.038194 0.113402 0.057143 97
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 64
18 0.000000 0.000000 0.000000 36
19 0.962512 0.973525 0.967987 19226
20 0.744428 0.820863 0.780779 1831
avg / total 0.911058 0.927517 0.919020 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.960656 0.972383 0.966484 19988
20 0.661228 0.556209 0.604189 1530
avg / total 0.926704 0.930084 0.928044 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 6.0
precision recall f1-score support
10 0.090909 0.000335 0.000668 2984
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.016393 0.027778 0.020619 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.900106 0.977383 0.937154 15608
20 0.439056 0.780635 0.562015 2644
avg / total 0.709801 0.794150 0.738885 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.950859 0.949248 0.950053 14167
20 0.943604 0.538391 0.685600 7645
avg / total 0.948316 0.805245 0.857364 21812
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 6.0
precision recall f1-score support
10 0.643979 0.093893 0.163891 1310
11 0.000000 0.000000 0.000000 354
12 0.000000 0.000000 0.000000 311
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 224
15 0.000000 0.000000 0.000000 186
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.877713 0.970362 0.921715 17005
20 0.475522 0.768712 0.587573 1630
avg / total 0.758492 0.819595 0.772336 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 6.0
precision recall f1-score support
10 0.020690 0.040000 0.027273 75
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.951992 0.972907 0.962336 18935
20 0.674346 0.780606 0.723596 1650
avg / total 0.877507 0.903769 0.890235 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 7.0
precision recall f1-score support
19 0.972998 0.985751 0.979333 20142
20 0.795875 0.670060 0.727568 1670
avg / total 0.959437 0.961581 0.960057 21812
Classification report for turbine 13, turbine category 7.0
precision recall f1-score support
19 0.968043 0.983371 0.975647 16357
20 0.947652 0.902658 0.924608 5455
avg / total 0.962943 0.963185 0.962882 21812
Classification report for turbine 13, turbine category 7.0
precision recall f1-score support
19 0.964462 0.976989 0.970685 14167
20 0.956306 0.933290 0.944658 7645
avg / total 0.961604 0.961672 0.961563 21812
Classification report for turbine 13, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962690 0.985609 0.974015 18692
20 0.882617 0.834866 0.858077 2828
avg / total 0.939421 0.952870 0.945944 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985434 0.988847 0.987138 19636
20 0.907648 0.867188 0.886957 2176
avg / total 0.977674 0.976710 0.977144 21812
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 8.0
precision recall f1-score support
19 0.972277 0.982028 0.977128 20142
20 0.753406 0.662275 0.704908 1670
avg / total 0.955519 0.957546 0.956286 21812
Classification report for turbine 13, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1056
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 88
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 43
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.899516 0.984125 0.939920 15118
20 0.882208 0.909998 0.895888 5111
avg / total 0.830178 0.895333 0.861388 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 8.0
precision recall f1-score support
10 0.054054 0.561404 0.098613 57
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.898076 0.957682 0.926922 13304
20 0.952062 0.879531 0.914360 7587
avg / total 0.879074 0.891528 0.883671 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 8.0
precision recall f1-score support
10 0.039683 0.035461 0.037453 282
11 0.000000 0.000000 0.000000 192
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 171
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.894509 0.966425 0.929077 17513
20 0.843049 0.760854 0.799845 2718
avg / total 0.823773 0.871218 0.846115 21812
Classification report for turbine 13, turbine category 8.0
precision recall f1-score support
10 0.029070 0.031250 0.030120 160
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.090909 0.005556 0.010471 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.912937 0.976660 0.943724 18295
20 0.845128 0.859677 0.852340 1917
avg / total 0.840973 0.895012 0.866774 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 9.0
precision recall f1-score support
19 0.971307 0.984858 0.978035 20142
20 0.780418 0.649102 0.708728 1670
avg / total 0.956692 0.959151 0.957416 21812
Classification report for turbine 13, turbine category 9.0
precision recall f1-score support
19 0.970585 0.982393 0.976453 16357
20 0.945205 0.910724 0.927644 5455
avg / total 0.964238 0.964469 0.964246 21812
Classification report for turbine 13, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971591 0.978593 0.975079 14154
20 0.922975 0.946783 0.934727 7366
avg / total 0.942166 0.954750 0.948399 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 9.0
precision recall f1-score support
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.979391 0.978667 0.979029 18938
20 0.859722 0.861517 0.860619 2874
avg / total 0.963623 0.963231 0.963427 21812
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 9.0
precision recall f1-score support
19 0.986259 0.990579 0.988414 19636
20 0.911483 0.875460 0.893108 2176
avg / total 0.978799 0.979094 0.978906 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 119
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.925754 0.983130 0.953580 19265
20 0.742813 0.611253 0.670642 1564
avg / total 0.870916 0.912158 0.890317 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 10.0
precision recall f1-score support
10 0.015707 0.025210 0.019355 119
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.066667 0.013889 0.022989 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.938261 0.954795 0.946456 16060
20 0.856591 0.832707 0.844480 5057
avg / total 0.889736 0.896250 0.892837 21812
Classification report for turbine 13, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.018182 0.013889 0.015748 72
18 0.000000 0.000000 0.000000 72
19 0.917382 0.951456 0.934108 13596
20 0.957282 0.861228 0.906718 7624
avg / total 0.906490 0.894141 0.899234 21812
Classification report for turbine 13, turbine category 10.0
precision recall f1-score support
10 0.748538 0.186047 0.298021 688
11 0.000000 0.000000 0.000000 477
12 0.000000 0.000000 0.000000 396
13 0.000000 0.000000 0.000000 396
14 0.000000 0.000000 0.000000 375
15 0.000000 0.000000 0.000000 360
16 0.000000 0.000000 0.000000 360
17 0.000000 0.000000 0.000000 360
18 0.000000 0.000000 0.000000 338
19 0.824827 0.974931 0.893619 15996
20 0.617908 0.774927 0.687567 2066
avg / total 0.687031 0.794242 0.729868 21812
Classification report for turbine 13, turbine category 10.0
precision recall f1-score support
10 0.003367 0.062500 0.006390 16
11 0.018519 0.009259 0.012346 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.034483 0.009259 0.014599 108
18 0.000000 0.000000 0.000000 108
19 0.944090 0.963734 0.953811 18888
20 0.840501 0.755382 0.795671 2044
avg / total 0.896559 0.905465 0.900648 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 11.0
precision recall f1-score support
10 0.579470 0.596252 0.587741 587
11 0.000000 0.000000 0.000000 112
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.071429 0.018519 0.029412 108
17 0.000000 0.000000 0.000000 108
18 0.024390 0.009259 0.013423 108
19 0.933327 0.956135 0.944593 19355
20 0.506388 0.435130 0.468062 1002
avg / total 0.867524 0.884605 0.875721 21812
Classification report for turbine 13, turbine category 11.0
precision recall f1-score support
10 0.311000 0.438605 0.363941 1979
11 0.009804 0.018519 0.012821 108
12 0.069930 0.092593 0.079681 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.902012 0.916725 0.909309 15695
20 0.546367 0.415699 0.472160 3274
avg / total 0.759672 0.762379 0.758651 21812
Classification report for turbine 13, turbine category 11.0
precision recall f1-score support
10 0.108434 0.384798 0.169191 421
11 0.000000 0.000000 0.000000 72
12 0.002326 0.013889 0.003984 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.919710 0.940287 0.929885 13498
20 0.953819 0.733907 0.829536 7317
avg / total 0.891214 0.835549 0.856997 21812
Classification report for turbine 13, turbine category 11.0
precision recall f1-score support
10 0.244510 0.533546 0.335341 313
11 0.000000 0.000000 0.000000 224
12 0.035294 0.027027 0.030612 222
13 0.100000 0.008439 0.015564 237
14 0.000000 0.000000 0.000000 183
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.896185 0.959559 0.926790 17408
20 0.800374 0.683433 0.737295 2505
avg / total 0.812113 0.852329 0.829632 21812
Classification report for turbine 13, turbine category 11.0
precision recall f1-score support
10 0.562500 0.036496 0.068545 1233
11 0.000000 0.000000 0.000000 365
12 0.205882 0.114007 0.146751 307
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 252
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.895188 0.971017 0.931562 17838
20 0.180527 0.639138 0.281534 557
avg / total 0.771396 0.814093 0.774967 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 16.0
precision recall f1-score support
19 0.971419 0.985453 0.978386 20142
20 0.787527 0.650299 0.712365 1670
avg / total 0.957339 0.959793 0.958018 21812
Classification report for turbine 13, turbine category 16.0
precision recall f1-score support
19 0.969494 0.983126 0.976263 16357
20 0.947177 0.907241 0.926779 5455
avg / total 0.963913 0.964148 0.963887 21812
Classification report for turbine 13, turbine category 16.0
precision recall f1-score support
19 0.974388 0.977483 0.975933 14167
20 0.958026 0.952387 0.955198 7645
avg / total 0.968653 0.968687 0.968666 21812
Classification report for turbine 13, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.961615 0.984316 0.972833 18681
20 0.877695 0.831631 0.854042 2839
avg / total 0.937819 0.951265 0.944348 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.983082 0.982481 0.982781 19636
20 0.905206 0.846967 0.875119 2176
avg / total 0.975313 0.968962 0.972041 21812
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 13, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 56
11 0.000000 0.000000 0.000000 324
12 0.000000 0.000000 0.000000 324
13 0.000000 0.000000 0.000000 324
14 0.000000 0.000000 0.000000 324
15 0.000000 0.000000 0.000000 315
16 0.000000 0.000000 0.000000 288
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 288
19 0.860012 0.985187 0.918353 17822
20 0.704155 0.673749 0.688616 1459
avg / total 0.749793 0.850037 0.796423 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 18.0
precision recall f1-score support
10 0.384615 0.416667 0.400000 12
11 0.034483 0.055556 0.042553 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.928030 0.906824 0.917304 15798
20 0.934337 0.881128 0.906952 5426
avg / total 0.904907 0.876398 0.890361 21812
Classification report for turbine 13, turbine category 18.0
precision recall f1-score support
10 0.011173 0.090909 0.019900 22
11 0.014085 0.006944 0.009302 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.893747 0.940138 0.916356 13197
20 0.934551 0.907674 0.920916 7441
avg / total 0.859667 0.878599 0.868672 21812
Classification report for turbine 13, turbine category 18.0
precision recall f1-score support
10 0.142857 0.052632 0.076923 19
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.025000 0.009259 0.013514 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.944019 0.960118 0.952000 18354
20 0.791033 0.808544 0.799693 2575
avg / total 0.887990 0.903448 0.895614 21812
Classification report for turbine 13, turbine category 18.0
precision recall f1-score support
10 0.250000 0.117647 0.160000 17
11 0.076923 0.018519 0.029851 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.023810 0.009259 0.013333 108
16 0.000000 0.000000 0.000000 108
17 0.014085 0.009259 0.011173 108
18 0.000000 0.000000 0.000000 108
19 0.946818 0.973641 0.960042 18779
20 0.910671 0.876394 0.893204 2152
avg / total 0.905772 0.924995 0.915065 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 19.0
precision recall f1-score support
19 0.973074 0.983219 0.978120 20142
20 0.768493 0.671856 0.716933 1670
avg / total 0.957411 0.959380 0.958123 21812
Classification report for turbine 13, turbine category 19.0
precision recall f1-score support
19 0.972790 0.981354 0.977053 16357
20 0.942572 0.917690 0.929965 5455
avg / total 0.965232 0.965432 0.965276 21812
Classification report for turbine 13, turbine category 19.0
precision recall f1-score support
19 0.974224 0.976424 0.975323 14167
20 0.956128 0.952126 0.954122 7645
avg / total 0.967881 0.967908 0.967892 21812
Classification report for turbine 13, turbine category 19.0
precision recall f1-score support
19 0.972848 0.985690 0.979227 18938
20 0.896723 0.818720 0.855948 2874
avg / total 0.962817 0.963690 0.962983 21812
Classification report for turbine 13, turbine category 19.0
precision recall f1-score support
19 0.991176 0.989662 0.990418 19636
20 0.907978 0.920496 0.914194 2176
avg / total 0.982876 0.982762 0.982814 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 20.0
precision recall f1-score support
19 0.974467 0.985304 0.979856 20142
20 0.795297 0.688623 0.738126 1670
avg / total 0.960749 0.962589 0.961348 21812
Classification report for turbine 13, turbine category 20.0
precision recall f1-score support
19 0.973734 0.981354 0.977529 16357
20 0.942745 0.920623 0.931553 5455
avg / total 0.965984 0.966165 0.966031 21812
Classification report for turbine 13, turbine category 20.0
precision recall f1-score support
19 0.973020 0.980095 0.976545 14167
20 0.962609 0.949640 0.956081 7645
avg / total 0.969371 0.969421 0.969372 21812
Classification report for turbine 13, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.959808 0.984685 0.972087 18674
20 0.879050 0.822348 0.849754 2837
avg / total 0.936059 0.949982 0.942761 21812
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 13, turbine category 20.0
precision recall f1-score support
14 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984281 0.982176 0.983227 19636
20 0.906356 0.858456 0.881756 2176
avg / total 0.976507 0.969833 0.973104 21812
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985706 0.964368 0.974920 20880
20 0.802949 0.667038 0.728710 898
avg / total 0.978170 0.952108 0.964768 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 2.0
precision recall f1-score support
10 0.777778 0.148936 0.250000 94
11 0.196429 0.041985 0.069182 262
12 0.092593 0.025126 0.039526 199
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 146
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.933565 0.985303 0.958737 19596
20 0.689777 0.809655 0.744924 725
avg / total 0.869558 0.914914 0.889750 21778
Classification report for turbine 14, turbine category 2.0
precision recall f1-score support
10 0.088106 0.571429 0.152672 35
11 0.285714 0.111111 0.160000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.932542 0.984463 0.957800 17314
20 0.937598 0.718426 0.813508 4141
avg / total 0.920286 0.920378 0.916667 21778
Classification report for turbine 14, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991854 0.992615 0.992235 20854
20 0.857961 0.810606 0.833612 924
avg / total 0.986173 0.984893 0.985505 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991396 0.995058 0.993224 20843
20 0.924020 0.806417 0.861222 935
avg / total 0.988503 0.986959 0.987556 21778
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 3.0
precision recall f1-score support
19 0.988655 0.993343 0.990994 20880
20 0.826033 0.734967 0.777843 898
avg / total 0.981950 0.982689 0.982204 21778
Classification report for turbine 14, turbine category 3.0
precision recall f1-score support
19 0.993400 0.994018 0.993709 20896
20 0.856157 0.843537 0.849800 882
avg / total 0.987842 0.987924 0.987881 21778
Classification report for turbine 14, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
11 0.000000 0.000000 0.000000 98
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 47
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.914188 0.989402 0.950309 17551
20 0.823931 0.608223 0.699832 3770
avg / total 0.879380 0.902654 0.887007 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.990969 0.994533 0.992748 20854
20 0.874251 0.790043 0.830017 924
avg / total 0.986017 0.985857 0.985844 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
19 0.991864 0.994291 0.993076 20843
20 0.917775 0.811765 0.861521 935
avg / total 0.988683 0.986454 0.987428 21778
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 4.0
precision recall f1-score support
19 0.989225 0.993678 0.991446 20880
20 0.835821 0.748330 0.789659 898
avg / total 0.982899 0.983561 0.983126 21778
Classification report for turbine 14, turbine category 4.0
precision recall f1-score support
19 0.993546 0.994497 0.994021 20896
20 0.866589 0.846939 0.856651 882
avg / total 0.988404 0.988521 0.988457 21778
Classification report for turbine 14, turbine category 4.0
precision recall f1-score support
19 0.935877 0.989093 0.961750 17604
20 0.939489 0.714183 0.811488 4174
avg / total 0.936570 0.936404 0.932950 21778
Classification report for turbine 14, turbine category 4.0
precision recall f1-score support
19 0.992771 0.994390 0.993580 20854
20 0.868539 0.836580 0.852260 924
avg / total 0.987500 0.987694 0.987584 21778
Classification report for turbine 14, turbine category 4.0
precision recall f1-score support
19 0.992171 0.997121 0.994640 20843
20 0.927798 0.824599 0.873160 935
avg / total 0.989407 0.989714 0.989424 21778
------------------------------------------------------------------------
Classification report for turbine 14, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.972660 0.957287 0.964912 20626
20 0.771307 0.638073 0.698392 851
avg / total 0.951349 0.931582 0.941161 21778
Classification report for turbine 14, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993187 0.976742 0.984896 20896
20 0.834129 0.792517 0.812791 882
avg / total 0.986746 0.969281 0.977926 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 5.0
precision recall f1-score support
10 0.018018 0.142857 0.032000 14
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.899199 0.896242 0.897718 17030
20 0.949147 0.682299 0.793900 4158
avg / total 0.884386 0.831206 0.853596 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 200
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.948985 0.988729 0.968449 19962
20 0.682298 0.773936 0.725234 752
avg / total 0.893412 0.933006 0.912736 21778
Classification report for turbine 14, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991521 0.987478 0.989495 20843
20 0.903431 0.760428 0.825784 935
avg / total 0.987739 0.977730 0.982467 21778
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 6.0
precision recall f1-score support
19 0.988044 0.993439 0.990734 20880
20 0.825255 0.720490 0.769322 898
avg / total 0.981332 0.982184 0.981604 21778
Classification report for turbine 14, turbine category 6.0
precision recall f1-score support
19 0.994067 0.994257 0.994162 20896
20 0.863326 0.859410 0.861364 882
avg / total 0.988772 0.988796 0.988784 21778
Classification report for turbine 14, turbine category 6.0
precision recall f1-score support
19 0.928396 0.989150 0.957811 17604
20 0.936797 0.678246 0.786826 4174
avg / total 0.930006 0.929562 0.925040 21778
Classification report for turbine 14, turbine category 6.0
precision recall f1-score support
19 0.993962 0.994677 0.994320 20854
20 0.877888 0.863636 0.870704 924
avg / total 0.989038 0.989117 0.989075 21778
Classification report for turbine 14, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.984866 0.996763 0.990779 20696
20 0.743990 0.786531 0.764670 787
avg / total 0.962820 0.975664 0.969187 21778
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 7.0
precision recall f1-score support
19 0.987667 0.993391 0.990521 20880
20 0.822394 0.711581 0.762985 898
avg / total 0.980852 0.981771 0.981138 21778
Classification report for turbine 14, turbine category 7.0
precision recall f1-score support
19 0.993783 0.994449 0.994116 20896
20 0.866359 0.852608 0.859429 882
avg / total 0.988622 0.988704 0.988661 21778
Classification report for turbine 14, turbine category 7.0
precision recall f1-score support
19 0.918020 0.989150 0.952259 17604
20 0.932028 0.627456 0.750000 4174
avg / total 0.920705 0.919827 0.913493 21778
Classification report for turbine 14, turbine category 7.0
precision recall f1-score support
19 0.993056 0.994390 0.993722 20854
20 0.869420 0.843074 0.856044 924
avg / total 0.987811 0.987970 0.987881 21778
Classification report for turbine 14, turbine category 7.0
precision recall f1-score support
19 0.992162 0.996066 0.994110 20843
20 0.903869 0.824599 0.862416 935
avg / total 0.988372 0.988704 0.988456 21778
------------------------------------------------------------------------
Classification report for turbine 14, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987994 0.961638 0.974638 20880
20 0.800000 0.659243 0.722833 898
avg / total 0.980242 0.949169 0.964255 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993189 0.983968 0.988557 20896
20 0.845588 0.782313 0.812721 882
avg / total 0.987211 0.975801 0.981436 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 8.0
precision recall f1-score support
10 0.012048 0.004600 0.006658 1087
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 118
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.873517 0.986247 0.926465 16869
20 0.839238 0.620092 0.713210 3056
avg / total 0.794984 0.851180 0.818043 21778
Classification report for turbine 14, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 21
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.111111 0.009346 0.017241 107
14 0.000000 0.000000 0.000000 98
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.956453 0.987838 0.971892 20144
20 0.811024 0.683628 0.741897 904
avg / total 0.918902 0.942143 0.929852 21778
Classification report for turbine 14, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 240
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.922505 0.990724 0.955398 19405
20 0.760563 0.857143 0.805970 693
avg / total 0.846188 0.910047 0.876942 21778
------------------------------------------------------------------------
Classification report for turbine 14, turbine category 9.0
precision recall f1-score support
19 0.990109 0.992385 0.991246 20880
20 0.812941 0.769488 0.790618 898
avg / total 0.982804 0.983194 0.982973 21778
Classification report for turbine 14, turbine category 9.0
precision recall f1-score support
19 0.993590 0.993970 0.993780 20896
20 0.855835 0.848073 0.851936 882
avg / total 0.988011 0.988061 0.988035 21778
Classification report for turbine 14, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 251
11 0.000000 0.000000 0.000000 73
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.929750 0.989225 0.958566 17540
20 0.843710 0.717914 0.775745 3662
avg / total 0.890692 0.917440 0.902471 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991540 0.994773 0.993154 20854
20 0.882494 0.796537 0.837315 924
avg / total 0.986913 0.986362 0.986542 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.978831 0.994114 0.986414 20559
20 0.902844 0.823784 0.861504 925
avg / total 0.962390 0.973459 0.967792 21778
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 10.0
precision recall f1-score support
10 0.214286 0.036585 0.062500 164
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.958961 0.969322 0.964113 20177
20 0.813218 0.657375 0.727039 861
avg / total 0.922228 0.924327 0.922451 21778
Classification report for turbine 14, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992360 0.988371 0.990362 20896
20 0.858333 0.817460 0.837398 882
avg / total 0.986932 0.981449 0.984167 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 10.0
precision recall f1-score support
10 0.043257 0.809524 0.082126 21
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.894879 0.899017 0.896943 17300
20 0.934317 0.607340 0.736154 4169
avg / total 0.889773 0.831206 0.853516 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.967016 0.990947 0.978835 20325
20 0.807955 0.818182 0.813036 869
avg / total 0.934737 0.957480 0.945971 21778
Classification report for turbine 14, turbine category 10.0
precision recall f1-score support
10 0.071429 0.025000 0.037037 160
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.964419 0.992303 0.978163 20268
20 0.724566 0.754522 0.739241 774
avg / total 0.923826 0.950501 0.936886 21778
------------------------------------------------------------------------
Classification report for turbine 14, turbine category 11.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986893 0.977251 0.982048 20880
20 0.832664 0.692650 0.756231 898
avg / total 0.980533 0.965516 0.972737 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 11.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993091 0.990572 0.991830 20896
20 0.846330 0.836735 0.841505 882
avg / total 0.987147 0.984342 0.985742 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 278
11 0.000000 0.000000 0.000000 184
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 118
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.860667 0.987778 0.919852 16528
20 0.908277 0.641772 0.752114 3950
avg / total 0.817927 0.866057 0.834520 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 11.0
precision recall f1-score support
10 0.063830 0.088235 0.074074 34
11 0.016949 0.013699 0.015152 73
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.034483 0.013889 0.019802 72
18 0.000000 0.000000 0.000000 72
19 0.965040 0.982160 0.973525 20292
20 0.821002 0.786286 0.803269 875
avg / total 0.932448 0.946965 0.939603 21778
Classification report for turbine 14, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 170
11 0.000000 0.000000 0.000000 78
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.963505 0.990277 0.976708 20262
20 0.679505 0.646597 0.662643 764
avg / total 0.920272 0.944026 0.931964 21778
------------------------------------------------------------------------
Classification report for turbine 14, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 61
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977809 0.993551 0.985617 20622
20 0.793689 0.810409 0.801962 807
avg / total 0.955316 0.970842 0.963016 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 145
11 0.000000 0.000000 0.000000 154
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 128
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.416667 0.046296 0.083333 108
19 0.947043 0.990816 0.968435 19926
20 0.702227 0.808367 0.751568 741
avg / total 0.892466 0.934291 0.912065 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 90
11 0.000000 0.000000 0.000000 74
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.940145 0.988744 0.963832 17236
20 0.872785 0.775684 0.821375 3874
avg / total 0.899325 0.920516 0.908927 21778
Classification report for turbine 14, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 11
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976591 0.992073 0.984271 20563
20 0.856280 0.774017 0.813073 916
avg / total 0.958122 0.969281 0.963557 21778
Classification report for turbine 14, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990855 0.992851 0.991852 20843
20 0.927500 0.793583 0.855331 935
avg / total 0.988135 0.984296 0.985991 21778
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 56
11 0.045455 0.003086 0.005780 324
12 0.000000 0.000000 0.000000 324
13 0.000000 0.000000 0.000000 324
14 0.045455 0.003086 0.005780 324
15 0.000000 0.000000 0.000000 324
16 0.000000 0.000000 0.000000 324
17 0.000000 0.000000 0.000000 324
18 0.000000 0.000000 0.000000 324
19 0.866320 0.988456 0.923366 18364
20 0.718706 0.667102 0.691943 766
avg / total 0.757144 0.857058 0.803126 21778
Classification report for turbine 14, turbine category 18.0
precision recall f1-score support
10 0.166667 0.176471 0.171429 17
11 0.000000 0.000000 0.000000 108
12 0.022222 0.027778 0.024691 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.007576 0.009259 0.008333 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.952898 0.949808 0.951351 20043
20 0.807339 0.824356 0.815759 854
avg / total 0.908920 0.906787 0.907845 21778
Classification report for turbine 14, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 21
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.227273 0.208333 0.217391 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.083333 0.006944 0.012821 144
19 0.875755 0.948184 0.910532 16964
20 0.891845 0.570722 0.696031 3641
avg / total 0.833330 0.835430 0.827149 21778
Classification report for turbine 14, turbine category 18.0
precision recall f1-score support
10 0.062500 0.076923 0.068966 13
11 0.045455 0.013889 0.021277 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.962789 0.979784 0.971212 20281
20 0.860406 0.746696 0.799528 908
avg / total 0.932669 0.943659 0.937898 21778
Classification report for turbine 14, turbine category 18.0
precision recall f1-score support
10 0.333333 0.076923 0.125000 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.962607 0.978091 0.970287 20266
20 0.901373 0.782232 0.837587 923
avg / total 0.934176 0.943383 0.938496 21778
------------------------------------------------------------------------
Classification report for turbine 14, turbine category 19.0
precision recall f1-score support
19 0.988084 0.992816 0.990444 20880
20 0.812030 0.721604 0.764151 898
avg / total 0.980824 0.981633 0.981113 21778
Classification report for turbine 14, turbine category 19.0
precision recall f1-score support
19 0.993543 0.994066 0.993804 20896
20 0.857635 0.846939 0.852253 882
avg / total 0.988039 0.988107 0.988072 21778
Classification report for turbine 14, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.931752 0.994061 0.961899 17511
20 0.868863 0.678607 0.762040 3964
avg / total 0.907342 0.922812 0.912138 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
19 0.992629 0.994438 0.993532 20854
20 0.874572 0.830087 0.851749 924
avg / total 0.987620 0.987464 0.987517 21778
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.
'recall', 'true', average, warn_for)
Classification report for turbine 14, turbine category 19.0
precision recall f1-score support
19 0.992121 0.996785 0.994448 20843
20 0.919952 0.823529 0.869074 935
avg / total 0.989022 0.989347 0.989065 21778
------------------------------------------------------------------------
Classification report for turbine 14, turbine category 20.0
precision recall f1-score support
19 0.989224 0.993582 0.991398 20880
20 0.833747 0.748330 0.788732 898
avg / total 0.982813 0.983470 0.983041 21778
Classification report for turbine 14, turbine category 20.0
precision recall f1-score support
19 0.993642 0.994640 0.994141 20896
20 0.869919 0.849206 0.859438 882
avg / total 0.988631 0.988750 0.988685 21778
Classification report for turbine 14, turbine category 20.0
precision recall f1-score support
19 0.915957 0.989321 0.951226 17604
20 0.931983 0.617154 0.742577 4174
avg / total 0.919028 0.917991 0.911236 21778
Classification report for turbine 14, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.979499 0.994650 0.987016 20559
20 0.863485 0.852136 0.857773 913
avg / total 0.960872 0.974699 0.967729 21778
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 14, turbine category 20.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991550 0.996498 0.994018 20843
20 0.917676 0.810695 0.860875 935
avg / total 0.988378 0.988521 0.988301 21778
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
19 0.961959 0.948552 0.955208 15569
20 0.867576 0.816087 0.841044 4600
avg / total 0.940433 0.918340 0.929171 20169
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 2.0
precision recall f1-score support
10 0.021277 0.062500 0.031746 48
11 0.000000 0.000000 0.000000 85
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 41
18 0.000000 0.000000 0.000000 36
19 0.940952 0.976210 0.958257 13157
20 0.943715 0.926576 0.935067 6442
avg / total 0.915293 0.932917 0.923844 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 2.0
precision recall f1-score support
10 0.323529 0.023355 0.043564 471
11 0.000000 0.000000 0.000000 307
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 226
15 0.000000 0.000000 0.000000 188
16 0.000000 0.000000 0.000000 173
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.822243 0.983026 0.895475 11665
20 0.889342 0.859776 0.874309 6347
avg / total 0.762978 0.839655 0.794064 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.969709 0.969774 0.969742 14921
20 0.938882 0.857660 0.896435 5248
avg / total 0.961688 0.940602 0.950667 20169
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 2.0
precision recall f1-score support
10 0.138614 0.070352 0.093333 199
11 0.000000 0.000000 0.000000 119
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.944319 0.980000 0.961829 15800
20 0.840511 0.918058 0.877575 3295
avg / total 0.878443 0.918390 0.897768 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 242
11 0.020000 0.002778 0.004878 360
12 0.114286 0.011111 0.020253 360
13 0.000000 0.000000 0.000000 360
14 0.090909 0.002778 0.005391 360
15 0.114286 0.011111 0.020253 360
16 0.000000 0.000000 0.000000 360
17 0.000000 0.000000 0.000000 360
18 0.000000 0.000000 0.000000 360
19 0.787695 0.960075 0.865385 12749
20 0.833034 0.863658 0.848069 4298
avg / total 0.681488 0.791413 0.728646 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 3.0
precision recall f1-score support
10 0.006135 0.031746 0.010283 63
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.952704 0.945926 0.949303 13352
20 0.948520 0.891896 0.919337 6466
avg / total 0.934802 0.912242 0.923207 20169
Classification report for turbine 15, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.938227 0.948559 0.943365 13258
20 0.958808 0.865577 0.909810 6911
avg / total 0.945279 0.920125 0.931867 20169
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 3.0
precision recall f1-score support
10 0.500000 0.059524 0.106383 84
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.952700 0.967413 0.960000 14699
20 0.911151 0.899176 0.905124 5098
avg / total 0.926709 0.932570 0.928866 20169
Classification report for turbine 15, turbine category 3.0
precision recall f1-score support
10 0.057471 0.034247 0.042918 146
11 0.000000 0.000000 0.000000 118
12 0.000000 0.000000 0.000000 108
13 0.040000 0.009259 0.015038 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.936192 0.976019 0.955691 15679
20 0.902005 0.920461 0.911140 3470
avg / total 0.883595 0.917398 0.900085 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 4.0
precision recall f1-score support
19 0.963521 0.965316 0.964417 15569
20 0.881864 0.876304 0.879075 4600
avg / total 0.944897 0.945015 0.944953 20169
Classification report for turbine 15, turbine category 4.0
precision recall f1-score support
19 0.980227 0.972123 0.976158 13667
20 0.942404 0.958782 0.950522 6502
avg / total 0.968034 0.967822 0.967894 20169
Classification report for turbine 15, turbine category 4.0
precision recall f1-score support
19 0.948867 0.982577 0.965428 13258
20 0.964130 0.898423 0.930118 6911
avg / total 0.954097 0.953741 0.953329 20169
Classification report for turbine 15, turbine category 4.0
precision recall f1-score support
19 0.973075 0.983379 0.978200 14921
20 0.951277 0.922637 0.936738 5248
avg / total 0.967403 0.967574 0.967412 20169
Classification report for turbine 15, turbine category 4.0
precision recall f1-score support
19 0.990730 0.988394 0.989560 16543
20 0.947613 0.957805 0.952681 3626
avg / total 0.982978 0.982895 0.982930 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 5.0
precision recall f1-score support
19 0.957996 0.963903 0.960940 15569
20 0.875222 0.856957 0.865993 4600
avg / total 0.939117 0.939511 0.939285 20169
Classification report for turbine 15, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 327
11 0.000000 0.000000 0.000000 221
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 145
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 127
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.915530 0.977914 0.945694 12768
20 0.872761 0.960728 0.914634 5933
avg / total 0.836312 0.901681 0.867725 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.922464 0.944316 0.933262 13002
20 0.958636 0.883714 0.919652 6871
avg / total 0.921249 0.909812 0.914929 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 5.0
precision recall f1-score support
10 0.023810 0.066667 0.035088 15
11 0.000000 0.000000 0.000000 37
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.951221 0.973905 0.962429 14677
20 0.932717 0.895143 0.913544 5188
avg / total 0.932142 0.939015 0.935374 20169
Classification report for turbine 15, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971581 0.972716 0.972148 16273
20 0.929558 0.935762 0.932650 3596
avg / total 0.949637 0.951658 0.950646 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.960407 0.928576 0.944223 15569
20 0.868828 0.768913 0.815823 4600
avg / total 0.939520 0.892161 0.914939 20169
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 6.0
precision recall f1-score support
10 0.168224 0.017459 0.031634 1031
11 0.000000 0.000000 0.000000 624
12 0.000000 0.000000 0.000000 504
13 0.065217 0.005952 0.010909 504
14 0.000000 0.000000 0.000000 474
15 0.000000 0.000000 0.000000 373
16 0.000000 0.000000 0.000000 335
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 267
19 0.788974 0.940868 0.858252 11043
20 0.658202 0.943292 0.775372 4726
avg / total 0.596441 0.737220 0.653488 20169
Classification report for turbine 15, turbine category 6.0
precision recall f1-score support
10 0.071563 0.044864 0.055152 847
11 0.013889 0.006568 0.008919 609
12 0.000000 0.000000 0.000000 352
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 234
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 72
17 0.150000 0.041667 0.065217 72
18 0.000000 0.000000 0.000000 72
19 0.820612 0.941882 0.877075 11666
20 0.796610 0.739272 0.766871 5849
avg / total 0.709629 0.761416 0.732522 20169
Classification report for turbine 15, turbine category 6.0
precision recall f1-score support
10 0.110211 0.090909 0.099634 748
11 0.007937 0.004115 0.005420 243
12 0.000000 0.000000 0.000000 203
13 0.000000 0.000000 0.000000 154
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.893134 0.951873 0.921569 13776
20 0.761850 0.765549 0.763695 4325
avg / total 0.777589 0.817740 0.796983 20169
Classification report for turbine 15, turbine category 6.0
precision recall f1-score support
10 0.099432 0.047945 0.064695 730
11 0.000000 0.000000 0.000000 432
12 0.064815 0.016204 0.025926 432
13 0.051724 0.006944 0.012245 432
14 0.031250 0.004808 0.008333 416
15 0.008621 0.002558 0.003945 391
16 0.000000 0.000000 0.000000 360
17 0.000000 0.000000 0.000000 360
18 0.000000 0.000000 0.000000 360
19 0.826785 0.958357 0.887723 13856
20 0.630653 0.836667 0.719198 2400
avg / total 0.649948 0.760325 0.698849 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 7.0
precision recall f1-score support
19 0.960643 0.964160 0.962398 15569
20 0.877174 0.866304 0.871705 4600
avg / total 0.941606 0.941841 0.941713 20169
Classification report for turbine 15, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 29
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 38
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.956276 0.976512 0.966288 13326
20 0.923945 0.961002 0.942109 6308
avg / total 0.920798 0.945758 0.933094 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 96
11 0.000000 0.000000 0.000000 144
12 0.500000 0.049296 0.089744 142
13 0.000000 0.000000 0.000000 92
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.906237 0.983087 0.943099 12830
20 0.942181 0.858040 0.898145 6685
avg / total 0.892285 0.910110 0.898249 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1045
11 0.000000 0.000000 0.000000 411
12 0.000000 0.000000 0.000000 234
13 0.000000 0.000000 0.000000 184
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 123
19 0.878208 0.981710 0.927079 13559
20 0.716192 0.877632 0.788736 4037
avg / total 0.733744 0.835639 0.781119 20169
Classification report for turbine 15, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 396
11 0.000000 0.000000 0.000000 165
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 95
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.940133 0.975508 0.957494 15760
20 0.828375 0.891351 0.858710 3249
avg / total 0.868060 0.905846 0.886512 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 107
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 176
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 161
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.904066 0.964048 0.933094 14575
20 0.778307 0.875548 0.824069 4106
avg / total 0.811765 0.874907 0.842058 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 2063
11 0.000000 0.000000 0.000000 150
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.045455 0.006944 0.012048 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.917549 0.965348 0.940842 12842
20 0.583173 0.886264 0.703460 4106
avg / total 0.703268 0.795131 0.742349 20169
Classification report for turbine 15, turbine category 8.0
precision recall f1-score support
10 0.021021 0.082353 0.033493 85
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.103093 0.185185 0.132450 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.881171 0.928634 0.904280 12513
20 0.930790 0.822126 0.873090 6707
avg / total 0.856851 0.850860 0.852210 20169
Classification report for turbine 15, turbine category 8.0
precision recall f1-score support
10 0.003195 0.007519 0.004484 133
11 0.000000 0.000000 0.000000 216
12 0.043478 0.004630 0.008368 216
13 0.011364 0.004630 0.006579 216
14 0.083333 0.004630 0.008772 216
15 0.000000 0.000000 0.000000 216
16 0.066667 0.004630 0.008658 216
17 0.000000 0.000000 0.000000 213
18 0.000000 0.000000 0.000000 180
19 0.874183 0.968674 0.919006 13535
20 0.860781 0.828761 0.844468 4812
avg / total 0.794230 0.848034 0.818579 20169
Classification report for turbine 15, turbine category 8.0
precision recall f1-score support
10 0.105528 0.076923 0.088983 273
11 0.000000 0.000000 0.000000 432
12 0.052632 0.002315 0.004435 432
13 0.005525 0.002315 0.003263 432
14 0.000000 0.000000 0.000000 416
15 0.000000 0.000000 0.000000 396
16 0.100000 0.002525 0.004926 396
17 0.000000 0.000000 0.000000 396
18 0.000000 0.000000 0.000000 394
19 0.829139 0.965160 0.891993 13892
20 0.685319 0.876753 0.769305 2710
avg / total 0.667814 0.783777 0.719221 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 9.0
precision recall f1-score support
19 0.958394 0.967628 0.962989 15569
20 0.886742 0.857826 0.872044 4600
avg / total 0.942052 0.942585 0.942247 20169
Classification report for turbine 15, turbine category 9.0
precision recall f1-score support
19 0.977520 0.979952 0.978734 13667
20 0.957638 0.952630 0.955127 6502
avg / total 0.971110 0.971144 0.971124 20169
Classification report for turbine 15, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 33
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.933401 0.984434 0.958238 13041
20 0.951208 0.896430 0.923007 6807
avg / total 0.924555 0.939065 0.931097 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.966462 0.979157 0.972768 14921
20 0.945509 0.902630 0.923572 5248
avg / total 0.961010 0.959244 0.959967 20169
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990219 0.985311 0.987759 16543
20 0.937737 0.955323 0.946448 3626
avg / total 0.980784 0.979920 0.980332 20169
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 10.0
precision recall f1-score support
10 0.733690 0.384529 0.504597 1784
11 0.166922 0.071995 0.100600 1514
12 0.106918 0.013209 0.023513 1287
13 0.052083 0.004762 0.008726 1050
14 0.000000 0.000000 0.000000 795
15 0.000000 0.000000 0.000000 533
16 0.011905 0.002012 0.003442 497
17 0.000000 0.000000 0.000000 448
18 0.022727 0.004988 0.008180 401
19 0.573548 0.918656 0.706194 9134
20 0.549505 0.651504 0.596173 2726
avg / total 0.421720 0.544747 0.454781 20169
Classification report for turbine 15, turbine category 10.0
precision recall f1-score support
10 0.115865 0.570896 0.192635 536
11 0.088512 0.144615 0.109813 650
12 0.045330 0.057996 0.050887 569
13 0.032641 0.023109 0.027060 476
14 0.013624 0.010870 0.012092 460
15 0.011869 0.011527 0.011696 347
16 0.015810 0.012346 0.013865 324
17 0.005376 0.003086 0.003922 324
18 0.009524 0.003086 0.004662 324
19 0.757484 0.743420 0.750386 10449
20 0.860441 0.587391 0.698168 5710
avg / total 0.645018 0.574198 0.597981 20169
Classification report for turbine 15, turbine category 10.0
precision recall f1-score support
10 0.042921 0.366120 0.076835 183
11 0.038168 0.070922 0.049628 282
12 0.009195 0.031746 0.014260 252
13 0.017073 0.027778 0.021148 252
14 0.026465 0.056452 0.036036 248
15 0.006536 0.004630 0.005420 216
16 0.014354 0.013889 0.014118 216
17 0.013423 0.009259 0.010959 216
18 0.000000 0.000000 0.000000 216
19 0.831960 0.789108 0.809967 11513
20 0.920404 0.664791 0.771989 6575
avg / total 0.776896 0.673211 0.716619 20169
Classification report for turbine 15, turbine category 10.0
precision recall f1-score support
10 0.444254 0.236098 0.308333 1097
11 0.131579 0.050274 0.072751 1094
12 0.073746 0.027747 0.040323 901
13 0.069231 0.026049 0.037855 691
14 0.018692 0.006791 0.009963 589
15 0.034722 0.009862 0.015361 507
16 0.016529 0.004274 0.006791 468
17 0.000000 0.000000 0.000000 439
18 0.020134 0.006944 0.010327 432
19 0.698520 0.887095 0.781594 10531
20 0.628468 0.814620 0.709538 3420
avg / total 0.510491 0.619713 0.553285 20169
Classification report for turbine 15, turbine category 10.0
precision recall f1-score support
10 0.678466 0.375817 0.483701 1224
11 0.134048 0.091324 0.108637 1095
12 0.099042 0.073722 0.084526 841
13 0.064777 0.022567 0.033473 709
14 0.028926 0.010671 0.015590 656
15 0.074074 0.019608 0.031008 612
16 0.039370 0.009058 0.014728 552
17 0.020270 0.005758 0.008969 521
18 0.030769 0.008065 0.012780 496
19 0.681586 0.859139 0.760132 11167
20 0.665551 0.865854 0.752603 2296
avg / total 0.513545 0.607417 0.548889 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 11.0
precision recall f1-score support
10 0.597537 0.414382 0.489384 2225
11 0.000000 0.000000 0.000000 216
12 0.020202 0.011111 0.014337 180
13 0.023810 0.005556 0.009009 180
14 0.011765 0.005556 0.007547 180
15 0.080000 0.024242 0.037209 165
16 0.015385 0.006944 0.009569 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.877284 0.933835 0.904677 14086
20 0.455069 0.568064 0.505327 2505
avg / total 0.736395 0.768903 0.749223 20169
Classification report for turbine 15, turbine category 11.0
precision recall f1-score support
10 0.003207 0.285714 0.006342 21
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.012500 0.027778 0.017241 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.961506 0.920021 0.940306 13466
20 0.932707 0.667657 0.778234 6394
avg / total 0.937671 0.826268 0.874557 20169
Classification report for turbine 15, turbine category 11.0
precision recall f1-score support
10 0.608456 0.163296 0.257487 2027
11 0.000000 0.000000 0.000000 189
12 0.000000 0.000000 0.000000 160
13 0.000000 0.000000 0.000000 115
14 0.035714 0.009259 0.014706 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.889286 0.965016 0.925604 12377
20 0.665941 0.834909 0.740913 4761
avg / total 0.764264 0.805741 0.768864 20169
Classification report for turbine 15, turbine category 11.0
precision recall f1-score support
10 0.002532 0.052632 0.004831 19
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.960565 0.948848 0.954670 14838
20 0.885660 0.837182 0.860739 5024
avg / total 0.927288 0.906639 0.916746 20169
Classification report for turbine 15, turbine category 11.0
precision recall f1-score support
10 0.041916 0.070000 0.052434 100
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.951081 0.960598 0.955816 15989
20 0.890051 0.898687 0.894348 3504
avg / total 0.908808 0.917993 0.913361 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 16.0
precision recall f1-score support
19 0.962422 0.965637 0.964027 15569
20 0.882366 0.872391 0.877350 4600
avg / total 0.944164 0.944370 0.944258 20169
Classification report for turbine 15, turbine category 16.0
precision recall f1-score support
19 0.979725 0.979366 0.979546 13667
20 0.956662 0.957398 0.957030 6502
avg / total 0.972290 0.972284 0.972287 20169
Classification report for turbine 15, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.924716 0.983053 0.952993 12982
20 0.963411 0.890292 0.925409 6891
avg / total 0.924365 0.936933 0.929582 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.968824 0.980966 0.974858 14921
20 0.947180 0.908918 0.927655 5248
avg / total 0.963193 0.962219 0.962575 20169
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 14
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.970889 0.987869 0.979305 16239
20 0.876099 0.954790 0.913754 3340
avg / total 0.926791 0.953493 0.939802 20169
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 31
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.136364 0.016667 0.029703 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.880636 0.961979 0.919512 14334
20 0.831304 0.844638 0.837918 4364
avg / total 0.806951 0.866577 0.835059 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.953674 0.953959 0.953816 13401
20 0.950000 0.936206 0.943053 6474
avg / total 0.938593 0.934355 0.936458 20169
Classification report for turbine 15, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.895220 0.939715 0.916928 12756
20 0.952213 0.832088 0.888107 6825
avg / total 0.888407 0.875899 0.880443 20169
Classification report for turbine 15, turbine category 18.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.963286 0.968903 0.966086 14921
20 0.939735 0.891387 0.914923 5248
avg / total 0.957158 0.948733 0.952774 20169
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.
'recall', 'true', average, warn_for)
Classification report for turbine 15, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.970451 0.968959 0.969704 16269
20 0.927671 0.938991 0.933297 3606
avg / total 0.948656 0.949477 0.949060 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 19.0
precision recall f1-score support
19 0.963094 0.963774 0.963434 15569
20 0.877097 0.875000 0.876047 4600
avg / total 0.943480 0.943527 0.943503 20169
Classification report for turbine 15, turbine category 19.0
precision recall f1-score support
19 0.981719 0.978415 0.980064 13667
20 0.954948 0.961704 0.958314 6502
avg / total 0.973089 0.973028 0.973053 20169
Classification report for turbine 15, turbine category 19.0
precision recall f1-score support
19 0.946093 0.983557 0.964461 13258
20 0.965863 0.892490 0.927728 6911
avg / total 0.952867 0.952353 0.951875 20169
Classification report for turbine 15, turbine category 19.0
precision recall f1-score support
19 0.971796 0.981436 0.976592 14921
20 0.945686 0.919017 0.932161 5248
avg / total 0.965003 0.965194 0.965031 20169
Classification report for turbine 15, turbine category 19.0
precision recall f1-score support
19 0.990937 0.984827 0.987873 16543
20 0.932672 0.958908 0.945608 3626
avg / total 0.980462 0.980168 0.980274 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 20.0
precision recall f1-score support
19 0.928404 0.966151 0.946901 15569
20 0.867154 0.747826 0.803082 4600
avg / total 0.914434 0.916357 0.914100 20169
Classification report for turbine 15, turbine category 20.0
precision recall f1-score support
19 0.981362 0.978561 0.979960 13667
20 0.955206 0.960935 0.958062 6502
avg / total 0.972930 0.972879 0.972900 20169
Classification report for turbine 15, turbine category 20.0
precision recall f1-score support
19 0.947151 0.984085 0.965265 13258
20 0.967000 0.894661 0.929425 6911
avg / total 0.953952 0.953443 0.952984 20169
Classification report for turbine 15, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.954159 0.981078 0.967431 14639
20 0.940786 0.921693 0.931141 5223
avg / total 0.936172 0.950766 0.943308 20169
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 15, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.990121 0.987548 0.988833 16543
20 0.944308 0.953944 0.949101 3626
avg / total 0.981885 0.981506 0.981690 20169
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 2.0
precision recall f1-score support
19 0.928557 0.994948 0.960607 18210
20 0.959184 0.607987 0.744234 3556
avg / total 0.933560 0.931728 0.925257 21766
Classification report for turbine 16, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 273
11 0.000000 0.000000 0.000000 301
12 0.000000 0.000000 0.000000 279
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 252
15 0.000000 0.000000 0.000000 192
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.878749 0.984712 0.928718 17465
20 0.736674 0.696983 0.716279 2320
avg / total 0.783628 0.864422 0.821549 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.880287 0.925563 0.902358 8477
20 0.960685 0.902852 0.930871 13289
avg / total 0.929373 0.911697 0.919766 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985165 0.980821 0.982988 18145
20 0.939241 0.922121 0.930602 3621
avg / total 0.977525 0.971056 0.974273 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993496 0.991143 0.992318 21113
20 0.859060 0.784074 0.819856 653
avg / total 0.989463 0.984931 0.987144 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 3.0
precision recall f1-score support
19 0.947070 0.991433 0.968744 18210
20 0.942286 0.716254 0.813868 3556
avg / total 0.946289 0.946476 0.943441 21766
Classification report for turbine 16, turbine category 3.0
precision recall f1-score support
19 0.955891 0.983539 0.969518 19015
20 0.857792 0.686296 0.762520 2751
avg / total 0.943492 0.945971 0.943355 21766
Classification report for turbine 16, turbine category 3.0
precision recall f1-score support
19 0.919104 0.948921 0.933774 8477
20 0.966728 0.946723 0.956621 13289
avg / total 0.948180 0.947579 0.947723 21766
Classification report for turbine 16, turbine category 3.0
precision recall f1-score support
19 0.988239 0.986332 0.987285 18145
20 0.932166 0.941176 0.936650 3621
avg / total 0.978910 0.978820 0.978861 21766
Classification report for turbine 16, turbine category 3.0
precision recall f1-score support
19 0.996163 0.996021 0.996092 21113
20 0.871951 0.875957 0.873950 653
avg / total 0.992436 0.992419 0.992428 21766
------------------------------------------------------------------------
Classification report for turbine 16, turbine category 4.0
precision recall f1-score support
19 0.947980 0.990719 0.968878 18210
20 0.938208 0.721597 0.815769 3556
avg / total 0.946383 0.946752 0.943864 21766
Classification report for turbine 16, turbine category 4.0
precision recall f1-score support
19 0.954687 0.985012 0.969612 19015
20 0.867257 0.676845 0.760310 2751
avg / total 0.943637 0.946063 0.943159 21766
Classification report for turbine 16, turbine category 4.0
precision recall f1-score support
19 0.924052 0.937242 0.930600 8477
20 0.959599 0.950862 0.955210 13289
avg / total 0.945755 0.945557 0.945626 21766
Classification report for turbine 16, turbine category 4.0
precision recall f1-score support
19 0.988780 0.985891 0.987333 18145
20 0.930321 0.943938 0.937080 3621
avg / total 0.979054 0.978912 0.978973 21766
Classification report for turbine 16, turbine category 4.0
precision recall f1-score support
19 0.996540 0.995737 0.996138 21113
20 0.865672 0.888208 0.876795 653
avg / total 0.992613 0.992511 0.992558 21766
------------------------------------------------------------------------
Classification report for turbine 16, turbine category 5.0
precision recall f1-score support
19 0.930847 0.989786 0.959412 18210
20 0.922597 0.623453 0.744085 3556
avg / total 0.929500 0.929937 0.924233 21766
Classification report for turbine 16, turbine category 5.0
precision recall f1-score support
19 0.958126 0.984328 0.971051 19015
20 0.866428 0.702654 0.775994 2751
avg / total 0.946537 0.948727 0.946397 21766
Classification report for turbine 16, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.924292 0.931925 0.928093 8476
20 0.932980 0.950231 0.941527 12980
avg / total 0.916309 0.929569 0.922886 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 5.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.987244 0.989529 0.988385 18145
20 0.947707 0.935929 0.941781 3621
avg / total 0.980666 0.980612 0.980632 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 5.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.996110 0.994411 0.995260 21113
20 0.879815 0.874426 0.877112 653
avg / total 0.992621 0.990811 0.991715 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.919400 0.995991 0.956164 18210
20 0.966298 0.540214 0.693001 3556
avg / total 0.927062 0.921529 0.913170 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.956484 0.986011 0.971023 19015
20 0.880465 0.688113 0.772495 2751
avg / total 0.946876 0.948360 0.945931 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 71
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.781610 0.946606 0.856232 7660
20 0.960362 0.910561 0.934799 13171
avg / total 0.856201 0.884131 0.866993 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 482
11 0.000000 0.000000 0.000000 260
12 0.062500 0.004630 0.008621 216
13 0.000000 0.000000 0.000000 159
14 0.000000 0.000000 0.000000 100
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 39
18 0.000000 0.000000 0.000000 36
19 0.928660 0.966809 0.947350 17113
20 0.831151 0.927261 0.876579 3217
avg / total 0.853600 0.897225 0.874475 21766
Classification report for turbine 16, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995012 0.992138 0.993573 21113
20 0.845045 0.718224 0.776490 653
avg / total 0.990513 0.983920 0.987060 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 7.0
precision recall f1-score support
19 0.920804 0.996046 0.956948 18210
20 0.965184 0.561305 0.709815 3556
avg / total 0.928055 0.925021 0.916573 21766
Classification report for turbine 16, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 87
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.939577 0.985659 0.962067 18758
20 0.820402 0.650589 0.725694 2633
avg / total 0.908973 0.928145 0.916898 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.896842 0.941489 0.918623 8477
20 0.963979 0.928362 0.945835 13289
avg / total 0.937832 0.933474 0.935237 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 7.0
precision recall f1-score support
18 0.000000 0.000000 0.000000 0
19 0.986537 0.989419 0.987976 18145
20 0.946454 0.932339 0.939343 3621
avg / total 0.979869 0.979923 0.979885 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996730 0.996164 0.996447 21113
20 0.883510 0.894334 0.888889 653
avg / total 0.993333 0.993109 0.993220 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.019178 0.194444 0.034913 36
17 0.031746 0.055556 0.040404 36
18 0.000000 0.000000 0.000000 36
19 0.903595 0.977294 0.939001 17925
20 0.972848 0.474500 0.637879 3549
avg / total 0.902849 0.882615 0.877430 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.950382 0.981120 0.965507 19015
20 0.884285 0.636132 0.739958 2751
avg / total 0.942028 0.937517 0.936999 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 8.0
precision recall f1-score support
10 0.135036 0.043995 0.066368 841
11 0.000000 0.000000 0.000000 131
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.795089 0.920767 0.853325 7560
20 0.910658 0.905914 0.908280 12478
avg / total 0.803438 0.840853 0.819649 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 8.0
precision recall f1-score support
10 0.303797 0.730964 0.429210 197
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 69
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.964378 0.979273 0.971768 17610
20 0.913922 0.841729 0.876341 3494
avg / total 0.929697 0.934026 0.930779 21766
Classification report for turbine 16, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.025641 0.333333 0.047619 3
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990939 0.989287 0.990112 21003
20 0.858824 0.788580 0.822204 648
avg / total 0.981773 0.978131 0.979889 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 9.0
precision recall f1-score support
19 0.928828 0.994728 0.960649 18210
20 0.957597 0.609674 0.745017 3556
avg / total 0.933528 0.931820 0.925420 21766
Classification report for turbine 16, turbine category 9.0
precision recall f1-score support
19 0.959793 0.985485 0.972469 19015
20 0.876896 0.714649 0.787503 2751
avg / total 0.949316 0.951254 0.949092 21766
Classification report for turbine 16, turbine category 9.0
precision recall f1-score support
19 0.868224 0.929574 0.897852 8477
20 0.952955 0.910001 0.930983 13289
avg / total 0.919956 0.917624 0.918080 21766
Classification report for turbine 16, turbine category 9.0
precision recall f1-score support
19 0.988747 0.987875 0.988311 18145
20 0.939511 0.943662 0.941582 3621
avg / total 0.980556 0.980520 0.980537 21766
Classification report for turbine 16, turbine category 9.0
precision recall f1-score support
19 0.996493 0.995974 0.996234 21113
20 0.871988 0.886677 0.879271 653
avg / total 0.992758 0.992695 0.992725 21766
------------------------------------------------------------------------
Classification report for turbine 16, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 563
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.867998 0.971359 0.916774 16829
20 0.847045 0.658287 0.740831 3222
avg / total 0.796504 0.848479 0.818494 21766
Classification report for turbine 16, turbine category 10.0
precision recall f1-score support
10 0.080645 0.033333 0.047170 450
11 0.016667 0.004484 0.007067 223
12 0.040000 0.009259 0.015038 216
13 0.034483 0.009259 0.014599 216
14 0.076923 0.004630 0.008734 216
15 0.000000 0.000000 0.000000 216
16 0.038462 0.004630 0.008264 216
17 0.009091 0.004630 0.006135 216
18 0.000000 0.000000 0.000000 216
19 0.864462 0.962937 0.911046 17241
20 0.717491 0.601282 0.654266 2340
avg / total 0.765695 0.828448 0.793556 21766
Classification report for turbine 16, turbine category 10.0
precision recall f1-score support
10 0.020867 0.082803 0.033333 157
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.076923 0.013889 0.023529 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.857584 0.882834 0.870026 8185
20 0.927425 0.886208 0.906348 12848
avg / total 0.870334 0.855738 0.862485 21766
Classification report for turbine 16, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.985400 0.963406 0.974279 18145
20 0.944113 0.830434 0.883632 3621
avg / total 0.978532 0.941285 0.959199 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994315 0.985885 0.990083 21113
20 0.863487 0.803982 0.832672 653
avg / total 0.990390 0.980428 0.985360 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 11.0
precision recall f1-score support
10 0.843913 0.673588 0.749192 2408
11 0.006803 0.004637 0.005515 647
12 0.000000 0.000000 0.000000 605
13 0.000000 0.000000 0.000000 576
14 0.045455 0.003663 0.006780 546
15 0.000000 0.000000 0.000000 511
16 0.018182 0.001984 0.003578 504
17 0.040000 0.001984 0.003781 504
18 0.000000 0.000000 0.000000 422
19 0.703462 0.953303 0.809544 13898
20 0.240283 0.059389 0.095238 1145
avg / total 0.557866 0.686667 0.605308 21766
Classification report for turbine 16, turbine category 11.0
precision recall f1-score support
10 0.529080 0.851257 0.652570 1432
11 0.071072 0.087289 0.078351 653
12 0.020134 0.009804 0.013187 612
13 0.019608 0.011438 0.014448 612
14 0.017921 0.008170 0.011223 612
15 0.013369 0.008651 0.010504 578
16 0.024631 0.008681 0.012837 576
17 0.017857 0.005566 0.008487 539
18 0.036649 0.014957 0.021244 468
19 0.749692 0.845951 0.794918 14385
20 0.616487 0.264819 0.370490 1299
avg / total 0.573058 0.635257 0.595128 21766
Classification report for turbine 16, turbine category 11.0
precision recall f1-score support
10 0.026380 0.941935 0.051323 310
11 0.001916 0.013889 0.003367 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 75
16 0.002710 0.009259 0.004193 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.880444 0.738444 0.803217 8048
20 0.887070 0.170427 0.285922 12721
avg / total 0.844383 0.386153 0.464858 21766
Classification report for turbine 16, turbine category 11.0
precision recall f1-score support
10 0.228690 0.571429 0.326652 385
11 0.008197 0.001866 0.003040 536
12 0.018868 0.003968 0.006557 504
13 0.015038 0.003968 0.006279 504
14 0.048544 0.010163 0.016807 492
15 0.043478 0.015054 0.022364 465
16 0.036496 0.011876 0.017921 421
17 0.009901 0.004651 0.006329 430
18 0.029412 0.010101 0.015038 396
19 0.787811 0.928903 0.852559 14445
20 0.895958 0.750941 0.817065 3188
avg / total 0.662554 0.737848 0.693226 21766
Classification report for turbine 16, turbine category 11.0
precision recall f1-score support
10 0.776271 0.579747 0.663768 395
11 0.023529 0.009449 0.013483 635
12 0.010526 0.003268 0.004988 612
13 0.013699 0.005515 0.007864 544
14 0.006623 0.001946 0.003008 514
15 0.012121 0.003968 0.005979 504
16 0.036458 0.014056 0.020290 498
17 0.005988 0.002137 0.003150 468
18 0.000000 0.000000 0.000000 444
19 0.795001 0.924987 0.855082 16917
20 0.327217 0.455319 0.380783 235
avg / total 0.638237 0.735367 0.682216 21766
------------------------------------------------------------------------
Classification report for turbine 16, turbine category 16.0
precision recall f1-score support
19 0.936124 0.994728 0.964537 18210
20 0.960265 0.652418 0.776959 3556
avg / total 0.940068 0.938804 0.933891 21766
Classification report for turbine 16, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.943594 0.985092 0.963897 18782
20 0.844300 0.676820 0.751340 2692
avg / total 0.918655 0.933750 0.924677 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 79
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.870339 0.941746 0.904636 8154
20 0.938381 0.935556 0.936966 12957
avg / total 0.884652 0.909722 0.896659 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986403 0.983522 0.984960 18145
20 0.935314 0.930406 0.932853 3621
avg / total 0.977904 0.974685 0.976292 21766
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994843 0.995974 0.995408 21113
20 0.887070 0.830015 0.857595 653
avg / total 0.991610 0.990995 0.991274 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 45
11 0.062500 0.003968 0.007463 252
12 0.022388 0.011905 0.015544 252
13 0.011976 0.007937 0.009547 252
14 0.000000 0.000000 0.000000 252
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.250000 0.003968 0.007812 252
18 0.000000 0.000000 0.000000 236
19 0.851273 0.982583 0.912227 16363
20 0.953627 0.716498 0.818228 3358
avg / total 0.791100 0.849536 0.812485 21766
Classification report for turbine 16, turbine category 18.0
precision recall f1-score support
10 0.016949 0.050000 0.025316 20
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.916036 0.957386 0.936255 18210
20 0.836641 0.678518 0.749328 2672
avg / total 0.869101 0.884315 0.875306 21766
Classification report for turbine 16, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.037037 0.027778 0.031746 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.095238 1.000000 0.173913 36
18 0.000000 0.000000 0.000000 36
19 0.916013 0.854879 0.884391 8331
20 0.938573 0.940572 0.939571 13142
avg / total 0.917522 0.896812 0.906143 21766
Classification report for turbine 16, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 108
12 0.041667 0.009259 0.015152 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.942700 0.977651 0.959857 17316
20 0.934081 0.933296 0.933688 3568
avg / total 0.903294 0.930810 0.916747 21766
Classification report for turbine 16, turbine category 18.0
precision recall f1-score support
10 1.000000 0.083333 0.153846 12
11 0.000000 0.000000 0.000000 72
12 0.090909 0.013889 0.024096 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.038462 0.013889 0.020408 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.967822 0.983983 0.975836 20541
20 0.855738 0.819466 0.837209 637
avg / total 0.939376 0.952724 0.945649 21766
------------------------------------------------------------------------
Classification report for turbine 16, turbine category 19.0
precision recall f1-score support
19 0.930576 0.994454 0.961455 18210
20 0.956201 0.620079 0.752303 3556
avg / total 0.934762 0.933290 0.927285 21766
Classification report for turbine 16, turbine category 19.0
precision recall f1-score support
19 0.957325 0.983907 0.970434 19015
20 0.862348 0.696838 0.770808 2751
avg / total 0.945321 0.947625 0.945203 21766
Classification report for turbine 16, turbine category 19.0
precision recall f1-score support
19 0.914727 0.936416 0.925444 8477
20 0.958817 0.944315 0.951511 13289
avg / total 0.941646 0.941239 0.941359 21766
Classification report for turbine 16, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 1487
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 64
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962481 0.987154 0.974661 17671
20 0.558210 0.915766 0.693620 2220
avg / total 0.838336 0.894836 0.862036 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 19.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995162 0.993795 0.994478 21113
20 0.904132 0.837672 0.869634 653
avg / total 0.992431 0.989111 0.990733 21766
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 16, turbine category 20.0
precision recall f1-score support
19 0.922117 0.994124 0.956768 18210
20 0.949859 0.570022 0.712478 3556
avg / total 0.926649 0.924837 0.916857 21766
Classification report for turbine 16, turbine category 20.0
precision recall f1-score support
19 0.960795 0.983382 0.971957 19015
20 0.862847 0.722646 0.786548 2751
avg / total 0.948416 0.950427 0.948523 21766
Classification report for turbine 16, turbine category 20.0
precision recall f1-score support
19 0.933712 0.950454 0.942009 8477
20 0.968029 0.956957 0.962461 13289
avg / total 0.954664 0.954424 0.954496 21766
Classification report for turbine 16, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 84
11 0.000000 0.000000 0.000000 118
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 102
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 43
19 0.952226 0.988729 0.970134 17478
20 0.920951 0.939915 0.930336 3545
avg / total 0.914627 0.947027 0.930536 21766
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 16, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980863 0.994477 0.987623 20822
20 0.860697 0.807154 0.833066 643
avg / total 0.963749 0.975191 0.969400 21766
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.972018 0.975364 0.973688 18591
20 0.823471 0.892613 0.856649 2775
avg / total 0.939663 0.951392 0.945347 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 2.0
precision recall f1-score support
10 0.117647 0.011561 0.021053 173
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 113
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 88
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.904522 0.972426 0.937246 15159
20 0.895344 0.851819 0.873039 5554
avg / total 0.863442 0.898952 0.879851 21663
Classification report for turbine 17, turbine category 2.0
precision recall f1-score support
10 0.046272 0.081081 0.058920 222
11 0.032258 0.005102 0.008811 196
12 0.037037 0.007299 0.012195 137
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 105
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.879292 0.934274 0.905949 10635
20 0.941342 0.914242 0.927594 9900
avg / total 0.862864 0.877395 0.869429 21663
Classification report for turbine 17, turbine category 2.0
precision recall f1-score support
10 0.303571 0.049708 0.085427 342
11 0.000000 0.000000 0.000000 261
12 0.012987 0.004630 0.006826 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 216
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 222
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.904520 0.979201 0.940380 17453
20 0.709782 0.870600 0.782008 2017
avg / total 0.799743 0.870794 0.831854 21663
Classification report for turbine 17, turbine category 2.0
precision recall f1-score support
10 0.100000 0.084337 0.091503 83
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 66
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.963360 0.974439 0.968868 18348
20 0.917068 0.905999 0.911500 2734
avg / total 0.932064 0.939990 0.935993 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 3.0
precision recall f1-score support
19 0.985977 0.979321 0.982638 18811
20 0.869419 0.908135 0.888355 2852
avg / total 0.970632 0.969949 0.970225 21663
Classification report for turbine 17, turbine category 3.0
precision recall f1-score support
19 0.946799 0.973039 0.959740 15912
20 0.919209 0.848722 0.882560 5751
avg / total 0.939474 0.940036 0.939250 21663
Classification report for turbine 17, turbine category 3.0
precision recall f1-score support
19 0.902453 0.983953 0.941442 11217
20 0.980918 0.885794 0.930932 10446
avg / total 0.940289 0.936620 0.936374 21663
Classification report for turbine 17, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 35
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.979269 0.987950 0.983590 18838
20 0.901053 0.945519 0.922751 2533
avg / total 0.956923 0.969672 0.963218 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992796 0.978488 0.985590 18873
20 0.936794 0.950896 0.943792 2790
avg / total 0.985583 0.974934 0.980207 21663
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 4.0
precision recall f1-score support
19 0.983311 0.977247 0.980270 18811
20 0.855795 0.890603 0.872852 2852
avg / total 0.966523 0.965840 0.966128 21663
Classification report for turbine 17, turbine category 4.0
precision recall f1-score support
19 0.946466 0.977753 0.961855 15912
20 0.932249 0.846983 0.887573 5751
avg / total 0.942691 0.943037 0.942135 21663
Classification report for turbine 17, turbine category 4.0
precision recall f1-score support
19 0.896425 0.981457 0.937016 11217
20 0.977830 0.878231 0.925358 10446
avg / total 0.935679 0.931681 0.931394 21663
Classification report for turbine 17, turbine category 4.0
precision recall f1-score support
19 0.991429 0.987690 0.989556 19090
20 0.911153 0.936650 0.923726 2573
avg / total 0.981894 0.981628 0.981737 21663
Classification report for turbine 17, turbine category 4.0
precision recall f1-score support
19 0.993461 0.990092 0.991773 18873
20 0.934478 0.955914 0.945074 2790
avg / total 0.985864 0.985690 0.985759 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 5.0
precision recall f1-score support
10 0.944444 0.253731 0.400000 134
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.965700 0.962259 0.963977 18521
20 0.821268 0.871691 0.845729 2720
avg / total 0.934595 0.933712 0.932825 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 5.0
precision recall f1-score support
10 0.051724 0.034884 0.041667 86
11 0.000000 0.000000 0.000000 41
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.946710 0.971677 0.959031 15888
20 0.856218 0.833210 0.844557 5396
avg / total 0.907812 0.920325 0.913904 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 38
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.860569 0.982565 0.917530 10955
20 0.973235 0.851088 0.908073 10382
avg / total 0.901614 0.904768 0.899190 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975438 0.984532 0.979964 18878
20 0.878000 0.880819 0.879407 2492
avg / total 0.951036 0.959285 0.955142 21663
Classification report for turbine 17, turbine category 5.0
precision recall f1-score support
10 0.122340 0.169118 0.141975 136
11 0.000000 0.000000 0.000000 57
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.978043 0.988370 0.983179 18658
20 0.849568 0.844922 0.847239 2560
avg / total 0.943538 0.952177 0.947809 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.982648 0.981447 0.982047 18811
20 0.878831 0.874825 0.876823 2852
avg / total 0.968981 0.967410 0.968194 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.939586 0.969930 0.954517 15730
20 0.892911 0.843999 0.867766 5641
avg / total 0.914767 0.924064 0.919061 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 6.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.923986 0.982883 0.952525 11217
20 0.980511 0.910301 0.944102 10446
avg / total 0.951243 0.947883 0.948464 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 6.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988510 0.986957 0.987733 19090
20 0.910818 0.912942 0.911879 2573
avg / total 0.979282 0.978166 0.978723 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 109
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.949109 0.988645 0.968474 18053
20 0.878316 0.941600 0.908858 2637
avg / total 0.897862 0.938513 0.917717 21663
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981403 0.973473 0.977422 18811
20 0.859252 0.877630 0.868343 2852
avg / total 0.965321 0.960855 0.963061 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 7.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.935857 0.971028 0.953118 15912
20 0.921445 0.815858 0.865443 5751
avg / total 0.932031 0.929834 0.929843 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 7.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
19 0.931005 0.981635 0.955650 11217
20 0.980053 0.921884 0.950079 10446
avg / total 0.954656 0.952823 0.952964 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 7.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989080 0.986852 0.987964 19090
20 0.911017 0.919161 0.915071 2573
avg / total 0.979808 0.978812 0.979307 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 865
11 0.000000 0.000000 0.000000 822
12 0.000000 0.000000 0.000000 362
13 0.000000 0.000000 0.000000 256
14 0.000000 0.000000 0.000000 185
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 173
19 0.871319 0.988721 0.926315 16580
20 0.625922 0.947872 0.753967 1880
avg / total 0.721193 0.838988 0.774397 21663
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 8.0
precision recall f1-score support
10 0.118998 0.619565 0.199650 92
11 0.012500 0.006944 0.008929 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.007740 0.069444 0.013928 144
18 0.000000 0.000000 0.000000 144
19 0.927895 0.853018 0.888882 17907
20 0.743893 0.751592 0.747723 2512
avg / total 0.853914 0.795412 0.822469 21663
Classification report for turbine 17, turbine category 8.0
precision recall f1-score support
10 0.669774 0.387072 0.490612 2599
11 0.000000 0.000000 0.000000 1049
12 0.016949 0.001140 0.002137 877
13 0.000000 0.000000 0.000000 825
14 0.013699 0.001332 0.002427 751
15 0.000000 0.000000 0.000000 618
16 0.000000 0.000000 0.000000 504
17 0.008547 0.003992 0.005442 501
18 0.000000 0.000000 0.000000 448
19 0.670967 0.933144 0.780630 10590
20 0.440909 0.735608 0.551350 2901
avg / total 0.468762 0.601302 0.514604 21663
Classification report for turbine 17, turbine category 8.0
precision recall f1-score support
10 0.046827 0.352941 0.082684 391
11 0.004587 0.013333 0.006826 150
12 0.002299 0.009259 0.003683 108
13 0.015152 0.009259 0.011494 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.003876 0.009259 0.005464 108
17 0.003311 0.009259 0.004878 108
18 0.004444 0.009259 0.006006 108
19 0.880052 0.872899 0.876461 10826
20 0.890072 0.561006 0.688227 9540
avg / total 0.832796 0.689978 0.742788 21663
Classification report for turbine 17, turbine category 8.0
precision recall f1-score support
10 0.241199 0.616667 0.346767 300
11 0.022727 0.011111 0.014925 270
12 0.010417 0.007752 0.008889 129
13 0.000000 0.000000 0.000000 108
14 0.011364 0.009524 0.010363 105
15 0.000000 0.000000 0.000000 108
16 0.014706 0.018519 0.016393 108
17 0.007353 0.009259 0.008197 108
18 0.012048 0.009259 0.010471 108
19 0.940416 0.944662 0.942534 18161
20 0.754891 0.607970 0.673511 2158
avg / total 0.867500 0.861469 0.862525 21663
Classification report for turbine 17, turbine category 8.0
precision recall f1-score support
10 0.007752 0.061538 0.013769 65
11 0.013333 0.003968 0.006116 252
12 0.014493 0.003968 0.006231 252
13 0.018692 0.007937 0.011142 252
14 0.015873 0.003968 0.006349 252
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.895007 0.959998 0.926364 17049
20 0.820714 0.744572 0.780791 2533
avg / total 0.801093 0.843004 0.820742 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 86
11 0.000000 0.000000 0.000000 82
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.969846 0.978689 0.974247 18535
20 0.820210 0.896233 0.856538 2708
avg / total 0.932337 0.949407 0.940644 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.947323 0.960659 0.953944 15912
20 0.926409 0.840549 0.881393 5751
avg / total 0.941771 0.928773 0.934684 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.914787 0.961844 0.937725 11217
20 0.981759 0.901685 0.940020 10446
avg / total 0.947082 0.932835 0.938832 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 35
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975616 0.987631 0.981587 18838
20 0.897059 0.917656 0.907241 2526
avg / total 0.952990 0.965840 0.959370 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992470 0.977746 0.985053 18873
20 0.929751 0.948746 0.939152 2790
avg / total 0.984393 0.974011 0.979141 21663
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 10.0
precision recall f1-score support
10 0.007299 0.005051 0.005970 198
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.093023 0.055556 0.069565 72
17 0.023256 0.013889 0.017391 72
18 0.009259 0.013889 0.011111 72
19 0.953170 0.933373 0.943168 18296
20 0.787679 0.828384 0.807519 2593
avg / total 0.899789 0.887781 0.893613 21663
Classification report for turbine 17, turbine category 10.0
precision recall f1-score support
10 0.104878 0.231183 0.144295 186
11 0.000000 0.000000 0.000000 154
12 0.000000 0.000000 0.000000 130
13 0.000000 0.000000 0.000000 90
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.891716 0.910200 0.900863 15245
20 0.897159 0.787013 0.838485 5498
avg / total 0.856128 0.842266 0.848012 21663
Classification report for turbine 17, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 131
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.250000 0.006944 0.013514 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.820085 0.948819 0.879767 10199
20 0.953486 0.875847 0.913019 10181
avg / total 0.835871 0.858376 0.843380 21663
Classification report for turbine 17, turbine category 10.0
precision recall f1-score support
10 0.561728 0.061486 0.110840 1480
11 0.052632 0.003181 0.006000 943
12 0.046512 0.003236 0.006051 618
13 0.033333 0.001980 0.003738 505
14 0.027778 0.002315 0.004274 432
15 0.000000 0.000000 0.000000 432
16 0.000000 0.000000 0.000000 413
17 0.000000 0.000000 0.000000 396
18 0.000000 0.000000 0.000000 396
19 0.785116 0.972382 0.868772 15135
20 0.293040 0.788609 0.427300 913
avg / total 0.604203 0.717121 0.633161 21663
Classification report for turbine 17, turbine category 10.0
precision recall f1-score support
10 0.035865 0.062271 0.045515 273
11 0.114379 0.086420 0.098453 405
12 0.062350 0.065657 0.063961 396
13 0.055794 0.035422 0.043333 367
14 0.072917 0.038889 0.050725 360
15 0.026178 0.013889 0.018149 360
16 0.029126 0.008333 0.012959 360
17 0.011905 0.003067 0.004878 326
18 0.000000 0.000000 0.000000 324
19 0.866033 0.914247 0.889487 16256
20 0.748665 0.815295 0.780561 2236
avg / total 0.734136 0.775470 0.753793 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 11.0
precision recall f1-score support
10 0.626271 0.563692 0.593336 1311
11 0.018657 0.020243 0.019417 494
12 0.062880 0.067834 0.065263 457
13 0.030812 0.050926 0.038394 432
14 0.002849 0.002732 0.002789 366
15 0.000000 0.000000 0.000000 304
16 0.002049 0.003472 0.002577 288
17 0.039548 0.024306 0.030108 288
18 0.003717 0.003472 0.003591 288
19 0.858653 0.823464 0.840690 16178
20 0.529654 0.717582 0.609459 1257
avg / total 0.712896 0.694087 0.702216 21663
Classification report for turbine 17, turbine category 11.0
precision recall f1-score support
10 0.445062 0.672400 0.535606 2500
11 0.061972 0.020755 0.031095 1060
12 0.057895 0.011690 0.019452 941
13 0.027079 0.016018 0.020129 874
14 0.017241 0.003807 0.006237 788
15 0.001570 0.001639 0.001604 610
16 0.083333 0.019097 0.031073 576
17 0.041667 0.006944 0.011905 576
18 0.020761 0.010929 0.014320 549
19 0.667603 0.843787 0.745426 10985
20 0.410050 0.299909 0.346436 2204
avg / total 0.442773 0.539307 0.480009 21663
Classification report for turbine 17, turbine category 11.0
precision recall f1-score support
10 0.146655 0.459746 0.222374 1416
11 0.006410 0.012945 0.008574 618
12 0.035294 0.019272 0.024931 467
13 0.025510 0.028818 0.027064 347
14 0.025090 0.043210 0.031746 324
15 0.025862 0.018519 0.021583 324
16 0.000000 0.000000 0.000000 324
17 0.005988 0.006173 0.006079 324
18 0.005848 0.003086 0.004040 324
19 0.705696 0.828518 0.762191 8584
20 0.787481 0.355011 0.489394 8611
avg / total 0.604533 0.501777 0.513252 21663
Classification report for turbine 17, turbine category 11.0
precision recall f1-score support
10 0.079515 0.662921 0.141998 178
11 0.004754 0.024194 0.007947 124
12 0.006608 0.027778 0.010676 108
13 0.002646 0.009259 0.004115 108
14 0.000000 0.000000 0.000000 108
15 0.009804 0.018519 0.012821 108
16 0.000000 0.000000 0.000000 99
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.944666 0.859268 0.899945 18219
20 0.831237 0.321443 0.463607 2467
avg / total 0.889920 0.765129 0.811017 21663
Classification report for turbine 17, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.015152 0.027778 0.019608 36
19 0.976971 0.928679 0.952213 18592
20 0.882961 0.583663 0.702773 2779
avg / total 0.951767 0.871948 0.907411 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 16.0
precision recall f1-score support
19 0.986089 0.975972 0.981004 18811
20 0.851560 0.909187 0.879430 2852
avg / total 0.968378 0.967179 0.967632 21663
Classification report for turbine 17, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 111
11 0.000000 0.000000 0.000000 38
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.936450 0.975956 0.955795 15763
20 0.886724 0.844153 0.864915 5499
avg / total 0.906493 0.924433 0.915033 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.882363 0.961576 0.920268 11217
20 0.981439 0.855447 0.914122 10446
avg / total 0.930138 0.910400 0.917304 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989968 0.982190 0.986064 19090
20 0.905380 0.922270 0.913747 2573
avg / total 0.979921 0.975073 0.977474 21663
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.
'recall', 'true', average, warn_for)
Classification report for turbine 17, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.981808 0.981177 0.981492 18647
20 0.908581 0.953326 0.930416 2721
avg / total 0.959241 0.964317 0.961711 21663
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 50
11 0.000000 0.000000 0.000000 288
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.000000 0.000000 0.000000 288
15 0.000000 0.000000 0.000000 288
16 0.000000 0.000000 0.000000 288
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 288
19 0.885834 0.977267 0.929307 16848
20 0.738947 0.923608 0.821022 2461
avg / total 0.772888 0.864977 0.816023 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 18.0
precision recall f1-score support
10 0.090909 0.166667 0.117647 12
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.001541 0.013889 0.002774 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.909524 0.902806 0.906152 15433
20 0.903238 0.815668 0.857223 5642
avg / total 0.883255 0.855745 0.868888 21663
Classification report for turbine 17, turbine category 18.0
precision recall f1-score support
10 0.005882 0.090909 0.011050 11
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.003817 0.013889 0.005988 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.895183 0.928611 0.911590 10926
20 0.946045 0.889655 0.916984 10150
avg / total 0.894773 0.885288 0.889442 21663
Classification report for turbine 17, turbine category 18.0
precision recall f1-score support
10 0.250000 0.076923 0.117647 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.955835 0.976838 0.966223 18522
20 0.902262 0.875392 0.888624 2552
avg / total 0.923685 0.938374 0.930881 21663
Classification report for turbine 17, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.165714 0.402778 0.234818 72
16 0.071429 0.013889 0.023256 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.964392 0.977984 0.971140 18305
20 0.926005 0.940051 0.932975 2769
avg / total 0.934052 0.947930 0.940715 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 19.0
precision recall f1-score support
19 0.983653 0.975653 0.979636 18811
20 0.847587 0.893058 0.869729 2852
avg / total 0.965740 0.964779 0.965167 21663
Classification report for turbine 17, turbine category 19.0
precision recall f1-score support
19 0.943479 0.978758 0.960795 15912
20 0.934445 0.837767 0.883469 5751
avg / total 0.941080 0.941329 0.940267 21663
Classification report for turbine 17, turbine category 19.0
precision recall f1-score support
19 0.924740 0.983685 0.953303 11217
20 0.981194 0.914034 0.946424 10446
avg / total 0.951963 0.950099 0.949986 21663
Classification report for turbine 17, turbine category 19.0
precision recall f1-score support
19 0.991904 0.988318 0.990108 19090
20 0.915594 0.940148 0.927709 2573
avg / total 0.982840 0.982597 0.982696 21663
Classification report for turbine 17, turbine category 19.0
precision recall f1-score support
19 0.993621 0.990357 0.991986 18873
20 0.936185 0.956989 0.946473 2790
avg / total 0.986224 0.986059 0.986124 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 20.0
precision recall f1-score support
19 0.986065 0.978045 0.982038 18811
20 0.862562 0.908836 0.885095 2852
avg / total 0.969805 0.968933 0.969276 21663
Classification report for turbine 17, turbine category 20.0
precision recall f1-score support
19 0.944272 0.975427 0.959597 15912
20 0.925182 0.840723 0.880933 5751
avg / total 0.939204 0.939667 0.938714 21663
Classification report for turbine 17, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 21
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.887161 0.983401 0.932806 11025
20 0.972463 0.888953 0.928835 10329
avg / total 0.915179 0.924341 0.917607 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 20
11 0.000000 0.000000 0.000000 39
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973715 0.987338 0.980479 18797
20 0.907895 0.918200 0.913018 2555
avg / total 0.951973 0.965009 0.958447 21663
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 17, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989972 0.983362 0.986656 18873
20 0.929260 0.932258 0.930757 2790
avg / total 0.982153 0.976781 0.979457 21663
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 2.0
precision recall f1-score support
19 0.985247 0.996116 0.990652 19309
20 0.959634 0.860937 0.907610 2071
avg / total 0.982766 0.983022 0.982608 21380
Classification report for turbine 18, turbine category 2.0
precision recall f1-score support
19 0.991513 0.991859 0.991686 20023
20 0.879259 0.874724 0.876986 1357
avg / total 0.984388 0.984425 0.984406 21380
Classification report for turbine 18, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 202
11 0.000000 0.000000 0.000000 219
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 216
15 0.000000 0.000000 0.000000 185
16 0.000000 0.000000 0.000000 177
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.879630 0.996564 0.934453 16587
20 0.924266 0.778139 0.844931 3074
avg / total 0.815323 0.885033 0.846449 21380
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 18, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987213 0.989136 0.988173 20527
20 0.860088 0.684642 0.762402 853
avg / total 0.982141 0.976988 0.979166 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.961845 0.995058 0.978170 15378
20 0.988265 0.944454 0.965863 5707
avg / total 0.955626 0.967820 0.961388 21380
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 18, turbine category 3.0
precision recall f1-score support
10 0.182171 0.415929 0.253369 113
11 0.000000 0.000000 0.000000 108
12 0.005435 0.009259 0.006849 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.006849 0.009259 0.007874 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.935368 0.944297 0.939811 18437
20 0.917734 0.692269 0.789214 1966
avg / total 0.892028 0.880262 0.884430 21380
Classification report for turbine 18, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 98
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.959138 0.968887 0.963988 19381
20 0.836115 0.831698 0.833901 1325
avg / total 0.921277 0.929841 0.925536 21380
Classification report for turbine 18, turbine category 3.0
precision recall f1-score support
10 0.016529 0.062500 0.026144 32
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.905480 0.980604 0.941546 17272
20 0.969163 0.684932 0.802627 3212
avg / total 0.877125 0.895182 0.881256 21380
Classification report for turbine 18, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987259 0.981439 0.984340 20527
20 0.866878 0.641266 0.737197 853
avg / total 0.982456 0.967867 0.974480 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.983509 0.986021 0.984763 15666
20 0.986073 0.941722 0.963387 5714
avg / total 0.984195 0.974181 0.979051 21380
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 4.0
precision recall f1-score support
19 0.984841 0.995909 0.990344 19309
20 0.957389 0.857074 0.904459 2071
avg / total 0.982182 0.982460 0.982024 21380
Classification report for turbine 18, turbine category 4.0
precision recall f1-score support
19 0.991860 0.991959 0.991910 20023
20 0.881181 0.879882 0.880531 1357
avg / total 0.984835 0.984846 0.984840 21380
Classification report for turbine 18, turbine category 4.0
precision recall f1-score support
19 0.963180 0.995313 0.978983 18135
20 0.967803 0.787365 0.868309 3245
avg / total 0.963882 0.963751 0.962185 21380
Classification report for turbine 18, turbine category 4.0
precision recall f1-score support
19 0.988245 0.995226 0.991723 20527
20 0.861582 0.715123 0.781550 853
avg / total 0.983191 0.984051 0.983338 21380
Classification report for turbine 18, turbine category 4.0
precision recall f1-score support
19 0.987285 0.996234 0.991739 15666
20 0.989411 0.964823 0.976963 5714
avg / total 0.987853 0.987839 0.987790 21380
------------------------------------------------------------------------
Classification report for turbine 18, turbine category 5.0
precision recall f1-score support
10 0.020270 0.013043 0.015873 230
11 0.000000 0.000000 0.000000 107
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.027778 0.013889 0.018519 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.942894 0.981534 0.961826 18521
20 0.926742 0.771060 0.841764 2018
avg / total 0.904592 0.923246 0.912893 21380
Classification report for turbine 18, turbine category 5.0
precision recall f1-score support
10 0.272059 0.330357 0.298387 112
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.031250 0.027778 0.029412 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.959140 0.967271 0.963188 19463
20 0.794068 0.762408 0.777916 1229
avg / total 0.920317 0.926193 0.923205 21380
Classification report for turbine 18, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.943721 0.977544 0.960334 17857
20 0.970020 0.761536 0.853227 3229
avg / total 0.934715 0.931478 0.930952 21380
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 18, turbine category 5.0
precision recall f1-score support
10 0.168831 0.166667 0.167742 78
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971086 0.989013 0.979967 20205
20 0.826984 0.644005 0.724114 809
avg / total 0.949625 0.959635 0.954122 21380
Classification report for turbine 18, turbine category 5.0
precision recall f1-score support
10 0.300000 0.000508 0.001014 5907
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.041667 0.027778 0.033333 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.858506 0.994136 0.921357 14837
20 0.053685 0.632184 0.098965 348
avg / total 0.679604 0.700374 0.641338 21380
------------------------------------------------------------------------
Classification report for turbine 18, turbine category 6.0
precision recall f1-score support
10 0.801587 0.190207 0.307458 531
11 0.000000 0.000000 0.000000 69
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977715 0.994736 0.986152 19186
20 0.617335 0.780179 0.689269 1342
avg / total 0.936041 0.946352 0.935855 21380
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 18, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990527 0.971333 0.980836 20023
20 0.898637 0.777450 0.833663 1357
avg / total 0.984695 0.959027 0.971495 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 52
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.899228 0.973197 0.934752 17834
20 0.942988 0.446202 0.605767 3225
avg / total 0.892328 0.879093 0.871093 21380
Classification report for turbine 18, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 66
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.967819 0.991313 0.979425 20144
20 0.819728 0.584951 0.682720 824
avg / total 0.943461 0.956548 0.949116 21380
Classification report for turbine 18, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.978246 0.993170 0.985651 15666
20 0.988495 0.932272 0.959560 5714
avg / total 0.980985 0.976894 0.978678 21380
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 198
11 0.000000 0.000000 0.000000 92
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 64
14 0.000000 0.000000 0.000000 36
15 0.017544 0.027778 0.021505 36
16 0.250000 0.027778 0.050000 36
17 0.285714 0.166667 0.210526 36
18 0.000000 0.000000 0.000000 36
19 0.965997 0.992694 0.979163 18888
20 0.863073 0.848887 0.855921 1886
avg / total 0.930469 0.952245 0.941013 21380
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 18, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990799 0.984218 0.987498 20023
20 0.863905 0.860722 0.862311 1357
avg / total 0.982745 0.976380 0.979552 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.954853 0.994817 0.974425 18135
20 0.969684 0.709707 0.819573 3245
avg / total 0.957104 0.951543 0.950922 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988094 0.994544 0.991308 20527
20 0.859574 0.710434 0.777920 853
avg / total 0.982966 0.983209 0.982795 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 7.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.984902 0.995213 0.990030 15666
20 0.988803 0.958173 0.973247 5714
avg / total 0.985945 0.985313 0.985545 21380
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 2642
11 0.000000 0.000000 0.000000 78
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.864773 0.990376 0.923323 16937
20 0.503735 0.774405 0.610411 1219
avg / total 0.713784 0.828718 0.766249 21380
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 18, turbine category 8.0
precision recall f1-score support
10 0.005208 0.250000 0.010204 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976160 0.981254 0.978701 19738
20 0.872204 0.808889 0.839354 1350
avg / total 0.956265 0.957016 0.956537 21380
Classification report for turbine 18, turbine category 8.0
precision recall f1-score support
10 0.006163 0.097561 0.011594 41
11 0.000000 0.000000 0.000000 72
12 0.080000 0.027778 0.041237 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.915732 0.974967 0.944421 17577
20 0.939709 0.567483 0.707632 3186
avg / total 0.893159 0.886389 0.882042 21380
Classification report for turbine 18, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971650 0.985524 0.978538 20240
20 0.862013 0.628402 0.726899 845
avg / total 0.953910 0.957811 0.955090 21380
Classification report for turbine 18, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.979284 0.989723 0.984476 15666
20 0.985952 0.859818 0.918575 5714
avg / total 0.981066 0.955005 0.966863 21380
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.984484 0.946398 0.965066 19309
20 0.969767 0.805408 0.879979 2071
avg / total 0.983059 0.932741 0.956824 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.990010 0.979923 0.984941 20023
20 0.885233 0.852616 0.868619 1357
avg / total 0.983359 0.971843 0.977558 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.923321 0.993990 0.957353 18135
20 0.962025 0.491834 0.650897 3245
avg / total 0.929196 0.917774 0.910840 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.986521 0.994787 0.990637 20527
20 0.899371 0.670574 0.768301 853
avg / total 0.983044 0.981852 0.981766 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.989385 0.993553 0.991464 15666
20 0.985497 0.963248 0.974246 5714
avg / total 0.988346 0.985454 0.986863 21380
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 10.0
precision recall f1-score support
10 0.023256 0.010989 0.014925 91
11 0.000000 0.000000 0.000000 146
12 0.000000 0.000000 0.000000 144
13 0.031250 0.006944 0.011364 144
14 0.062500 0.022388 0.032967 134
15 0.026786 0.027778 0.027273 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.931244 0.972219 0.951291 18250
20 0.948857 0.773418 0.852202 2039
avg / total 0.886240 0.904022 0.893782 21380
Classification report for turbine 18, turbine category 10.0
precision recall f1-score support
10 0.018519 0.062500 0.028571 16
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.932760 0.970912 0.951454 18874
20 0.865399 0.850523 0.857897 1338
avg / total 0.877601 0.910384 0.893642 21380
Classification report for turbine 18, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.066667 0.006944 0.012579 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 167
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.891335 0.969165 0.928622 16961
20 0.924203 0.704762 0.799702 3045
avg / total 0.839183 0.869270 0.850667 21380
Classification report for turbine 18, turbine category 10.0
precision recall f1-score support
10 0.276596 0.065000 0.105263 200
11 0.076923 0.009639 0.017131 415
12 0.066667 0.005181 0.009615 386
13 0.000000 0.000000 0.000000 301
14 0.000000 0.000000 0.000000 261
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.050000 0.003968 0.007353 252
18 0.000000 0.000000 0.000000 226
19 0.876037 0.986747 0.928102 18184
20 0.599057 0.585253 0.592075 651
avg / total 0.769197 0.857998 0.808970 21380
Classification report for turbine 18, turbine category 10.0
precision recall f1-score support
10 0.027778 0.019231 0.022727 52
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.095238 0.027778 0.043011 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.941632 0.974887 0.957971 15092
20 0.980345 0.934099 0.956663 5660
avg / total 0.924610 0.935594 0.929686 21380
------------------------------------------------------------------------
Classification report for turbine 18, turbine category 11.0
precision recall f1-score support
10 0.083455 0.220077 0.121019 259
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 121
13 0.000000 0.000000 0.000000 108
14 0.011364 0.009259 0.010204 108
15 0.009709 0.009259 0.009479 108
16 0.017544 0.027778 0.021505 108
17 0.015267 0.018519 0.016736 108
18 0.000000 0.000000 0.000000 108
19 0.931368 0.898823 0.914806 18344
20 0.765792 0.431072 0.551628 1828
avg / total 0.865870 0.811038 0.833825 21380
Classification report for turbine 18, turbine category 11.0
precision recall f1-score support
10 0.013006 0.089109 0.022699 101
11 0.000000 0.000000 0.000000 110
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.947423 0.948610 0.948016 19167
20 0.658466 0.365169 0.469799 1246
avg / total 0.887793 0.872123 0.877375 21380
Classification report for turbine 18, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 21
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.945265 0.964623 0.954845 17921
20 0.959651 0.732381 0.830753 3150
avg / total 0.933723 0.916464 0.922762 21380
Classification report for turbine 18, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986693 0.986165 0.986429 20527
20 0.833333 0.597890 0.696246 853
avg / total 0.980575 0.970674 0.974851 21380
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.982570 0.989531 0.986038 15666
20 0.981061 0.824991 0.896283 5714
avg / total 0.982166 0.945557 0.962050 21380
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 18, turbine category 16.0
precision recall f1-score support
19 0.985498 0.996012 0.990727 19309
20 0.958713 0.863351 0.908537 2071
avg / total 0.982904 0.983162 0.982766 21380
Classification report for turbine 18, turbine category 16.0
precision recall f1-score support
19 0.991659 0.991610 0.991634 20023
20 0.876289 0.876934 0.876611 1357
avg / total 0.984337 0.984331 0.984334 21380
Classification report for turbine 18, turbine category 16.0
precision recall f1-score support
19 0.960707 0.994982 0.977544 18135
20 0.964973 0.772573 0.858121 3245
avg / total 0.961355 0.961225 0.959418 21380
Classification report for turbine 18, turbine category 16.0
precision recall f1-score support
19 0.988531 0.995177 0.991843 20527
20 0.861538 0.722157 0.785714 853
avg / total 0.983465 0.984284 0.983619 21380
Classification report for turbine 18, turbine category 16.0
precision recall f1-score support
19 0.984105 0.995915 0.989975 15666
20 0.988418 0.955898 0.971886 5714
avg / total 0.985258 0.985220 0.985140 21380
------------------------------------------------------------------------
Classification report for turbine 18, turbine category 18.0
precision recall f1-score support
10 0.333333 0.069767 0.115385 43
11 0.017241 0.007937 0.010870 252
12 0.041667 0.003968 0.007246 252
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 252
15 0.045455 0.003968 0.007299 252
16 0.000000 0.000000 0.000000 252
17 0.027397 0.007937 0.012308 252
18 0.000000 0.000000 0.000000 252
19 0.883941 0.977033 0.928158 17329
20 0.938111 0.867470 0.901408 1992
avg / total 0.806083 0.873152 0.836956 21380
Classification report for turbine 18, turbine category 18.0
precision recall f1-score support
10 0.052632 0.153846 0.078431 13
11 0.015152 0.013889 0.014493 72
12 0.000000 0.000000 0.000000 72
13 0.018182 0.013889 0.015748 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.019231 0.013889 0.016129 72
19 0.963383 0.962094 0.962738 19443
20 0.851478 0.876113 0.863620 1348
avg / total 0.929996 0.930402 0.930170 21380
Classification report for turbine 18, turbine category 18.0
precision recall f1-score support
10 0.166667 0.111111 0.133333 18
11 0.020408 0.009259 0.012739 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.022222 0.009259 0.013072 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.916095 0.980638 0.947269 17302
20 0.966275 0.770964 0.857640 3196
avg / total 0.886160 0.909027 0.895035 21380
Classification report for turbine 18, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.948074 0.983051 0.965246 19706
20 0.790251 0.675505 0.728387 792
avg / total 0.903116 0.931104 0.916652 21380
Classification report for turbine 18, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.047619 0.027778 0.035088 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962754 0.988296 0.975358 15379
20 0.988182 0.923239 0.954607 5706
avg / total 0.956337 0.957343 0.956421 21380
------------------------------------------------------------------------
Classification report for turbine 18, turbine category 19.0
precision recall f1-score support
19 0.985447 0.995960 0.990676 19309
20 0.958177 0.862868 0.908028 2071
avg / total 0.982806 0.983068 0.982670 21380
Classification report for turbine 18, turbine category 19.0
precision recall f1-score support
19 0.991905 0.991360 0.991632 20023
20 0.873538 0.880619 0.877064 1357
avg / total 0.984392 0.984331 0.984361 21380
Classification report for turbine 18, turbine category 19.0
precision recall f1-score support
19 0.961780 0.996305 0.978738 18135
20 0.974171 0.778737 0.865559 3245
avg / total 0.963661 0.963283 0.961560 21380
Classification report for turbine 18, turbine category 19.0
precision recall f1-score support
19 0.988392 0.995518 0.991942 20527
20 0.869504 0.718640 0.786906 853
avg / total 0.983648 0.984471 0.983762 21380
Classification report for turbine 18, turbine category 19.0
precision recall f1-score support
19 0.987084 0.995149 0.991100 15666
20 0.986395 0.964298 0.975221 5714
avg / total 0.986900 0.986904 0.986856 21380
------------------------------------------------------------------------
Classification report for turbine 18, turbine category 20.0
precision recall f1-score support
19 0.984484 0.995650 0.990035 19309
20 0.954644 0.853694 0.901351 2071
avg / total 0.981593 0.981899 0.981445 21380
Classification report for turbine 18, turbine category 20.0
precision recall f1-score support
19 0.992115 0.992858 0.992486 20023
20 0.893443 0.883567 0.888477 1357
avg / total 0.985852 0.985921 0.985885 21380
Classification report for turbine 18, turbine category 20.0
precision recall f1-score support
19 0.956121 0.996085 0.975694 18135
20 0.971452 0.744530 0.842987 3245
avg / total 0.958448 0.957905 0.955552 21380
Classification report for turbine 18, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975410 0.995308 0.985259 20246
20 0.844660 0.732852 0.784794 831
avg / total 0.956505 0.971001 0.963504 21380
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 18, turbine category 20.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.987010 0.994255 0.990619 15666
20 0.985863 0.964123 0.974872 5714
avg / total 0.986703 0.986202 0.986410 21380
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986185 0.976799 0.981470 21120
20 0.763359 0.573066 0.654664 698
avg / total 0.979056 0.963883 0.971014 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 2.0
precision recall f1-score support
10 0.222222 0.050000 0.081633 160
11 0.000000 0.000000 0.000000 198
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.931101 0.976728 0.953369 18305
20 0.742718 0.855147 0.794977 2147
avg / total 0.855898 0.903978 0.878692 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 40
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.877248 0.985740 0.928335 15638
20 0.897429 0.641774 0.748370 5276
avg / total 0.845780 0.861720 0.846352 21818
Classification report for turbine 19, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 102
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.957512 0.987601 0.972324 19921
20 0.850598 0.700574 0.768331 1219
avg / total 0.921784 0.940875 0.930711 21818
Classification report for turbine 19, turbine category 2.0
precision recall f1-score support
10 0.166667 0.142857 0.153846 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.055556 0.027778 0.037037 36
18 0.000000 0.000000 0.000000 36
19 0.979437 0.992798 0.986072 20966
20 0.883562 0.694794 0.777889 557
avg / total 0.963892 0.971858 0.967535 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986912 0.985417 0.986164 21120
20 0.777164 0.604585 0.680097 698
avg / total 0.980202 0.973233 0.976372 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.979484 0.981005 0.980244 19321
20 0.877875 0.840609 0.858838 2497
avg / total 0.967855 0.964937 0.966350 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 3.0
precision recall f1-score support
10 0.250000 0.014815 0.027972 135
11 0.000000 0.000000 0.000000 124
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.886167 0.989877 0.935155 15312
20 0.943959 0.806775 0.869992 5491
avg / total 0.861033 0.897837 0.875424 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989050 0.986398 0.987722 20511
20 0.908772 0.792655 0.846751 1307
avg / total 0.984241 0.974791 0.979277 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 3.0
precision recall f1-score support
10 0.250000 0.133333 0.173913 15
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.967219 0.994247 0.980546 20684
20 0.871739 0.738490 0.799601 543
avg / total 0.938814 0.961041 0.949602 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 4.0
precision recall f1-score support
19 0.987951 0.993845 0.990889 21120
20 0.772727 0.633238 0.696063 698
avg / total 0.981065 0.982308 0.981457 21818
Classification report for turbine 19, turbine category 4.0
precision recall f1-score support
19 0.979780 0.985612 0.982687 19321
20 0.883291 0.842611 0.862472 2497
avg / total 0.968737 0.969246 0.968929 21818
Classification report for turbine 19, turbine category 4.0
precision recall f1-score support
19 0.946883 0.988453 0.967222 16195
20 0.961930 0.840299 0.897010 5623
avg / total 0.950761 0.950270 0.949126 21818
Classification report for turbine 19, turbine category 4.0
precision recall f1-score support
15 0.000000 0.000000 0.000000 4
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.986439 0.994755 0.990579 20401
20 0.910040 0.868199 0.888627 1305
avg / total 0.976805 0.982079 0.979396 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 4.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 32
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.986748 0.996205 0.991454 21078
20 0.856589 0.808044 0.831609 547
avg / total 0.974756 0.982675 0.978676 21818
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 5.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.987198 0.993087 0.990134 21120
20 0.747368 0.610315 0.671924 698
avg / total 0.979525 0.980842 0.979953 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 330
11 0.000000 0.000000 0.000000 116
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 38
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.968556 0.985915 0.977158 19027
20 0.699592 0.848935 0.767062 2019
avg / total 0.909396 0.938354 0.923141 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 10
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.886586 0.988476 0.934762 15619
20 0.959803 0.625334 0.757282 5613
avg / total 0.881609 0.868503 0.863996 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987362 0.986495 0.986928 20511
20 0.918295 0.791125 0.849979 1307
avg / total 0.983224 0.974791 0.978724 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.993033 0.992425 0.992729 21255
20 0.897155 0.728242 0.803922 563
avg / total 0.990559 0.985608 0.987857 21818
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988592 0.984706 0.986645 21120
20 0.576792 0.242120 0.341070 698
avg / total 0.975417 0.960950 0.965992 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.980415 0.958646 0.969408 19321
20 0.912572 0.572687 0.703740 2497
avg / total 0.972651 0.914474 0.939003 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 71
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.887220 0.971006 0.927224 15693
20 0.936112 0.617583 0.744196 5528
avg / total 0.875331 0.854890 0.855479 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 6.0
precision recall f1-score support
10 0.078947 0.065217 0.071429 184
11 0.000000 0.000000 0.000000 121
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 75
18 0.000000 0.000000 0.000000 72
19 0.964670 0.989468 0.976912 20034
20 0.518219 0.646465 0.575281 792
avg / total 0.905269 0.932579 0.918517 21818
Classification report for turbine 19, turbine category 6.0
precision recall f1-score support
10 0.062500 0.021739 0.032258 46
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.979620 0.969531 0.974549 20972
20 0.789130 0.708984 0.746914 512
avg / total 0.960285 0.948620 0.954357 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 7.0
precision recall f1-score support
19 0.987948 0.993655 0.990794 21120
20 0.767361 0.633238 0.693878 698
avg / total 0.980891 0.982125 0.981295 21818
Classification report for turbine 19, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 63
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.964534 0.985401 0.974856 19043
20 0.852306 0.830858 0.841446 2424
avg / total 0.936548 0.952379 0.944351 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.955771 0.987404 0.971330 16195
20 0.961758 0.867686 0.912304 5623
avg / total 0.957314 0.956550 0.956117 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 7.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991968 0.993516 0.992741 20511
20 0.906349 0.873757 0.889755 1307
avg / total 0.986839 0.986342 0.986572 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 7.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995206 0.996142 0.995674 21255
20 0.878095 0.818828 0.847426 563
avg / total 0.992184 0.991567 0.991848 21818
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.961455 0.993822 0.977371 20556
20 0.735088 0.624441 0.675262 671
avg / total 0.928450 0.955541 0.941605 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 8.0
precision recall f1-score support
10 0.783133 0.095378 0.170046 1363
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 71
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.959602 0.980380 0.969880 18705
20 0.405002 0.740959 0.523735 1355
avg / total 0.896762 0.892474 0.874646 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 8.0
precision recall f1-score support
10 0.006000 0.093750 0.011278 32
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.893505 0.969683 0.930037 15635
20 0.961672 0.747085 0.840905 5575
avg / total 0.886033 0.885920 0.881361 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 21
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.985062 0.987093 0.986076 20376
20 0.775148 0.809356 0.791883 1133
avg / total 0.960210 0.963883 0.962027 21818
Classification report for turbine 19, turbine category 8.0
precision recall f1-score support
10 0.894602 0.714579 0.794521 487
11 0.000000 0.000000 0.000000 379
12 0.000000 0.000000 0.000000 360
13 0.000000 0.000000 0.000000 360
14 0.000000 0.000000 0.000000 360
15 0.000000 0.000000 0.000000 360
16 0.000000 0.000000 0.000000 360
17 0.000000 0.000000 0.000000 360
18 0.000000 0.000000 0.000000 360
19 0.860833 0.993320 0.922344 18115
20 0.466102 0.694006 0.557668 317
avg / total 0.741471 0.850765 0.791638 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 9.0
precision recall f1-score support
19 0.988030 0.992708 0.990364 21120
20 0.742475 0.636103 0.685185 698
avg / total 0.980174 0.981300 0.980600 21818
Classification report for turbine 19, turbine category 9.0
precision recall f1-score support
19 0.983861 0.984421 0.984141 19321
20 0.878922 0.875050 0.876982 2497
avg / total 0.971851 0.971904 0.971877 21818
Classification report for turbine 19, turbine category 9.0
precision recall f1-score support
19 0.942473 0.987342 0.964386 16195
20 0.957749 0.826427 0.887255 5623
avg / total 0.946410 0.945870 0.944508 21818
Classification report for turbine 19, turbine category 9.0
precision recall f1-score support
19 0.992030 0.995173 0.993599 20511
20 0.920290 0.874522 0.896822 1307
avg / total 0.987732 0.987946 0.987802 21818
Classification report for turbine 19, turbine category 9.0
precision recall f1-score support
19 0.994930 0.997036 0.995982 21255
20 0.878378 0.808171 0.841813 563
avg / total 0.991922 0.992162 0.992003 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 78
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 128
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.004376 0.018519 0.007080 108
18 0.000000 0.000000 0.000000 108
19 0.942419 0.946810 0.944609 20173
20 0.676732 0.588872 0.629752 647
avg / total 0.891453 0.892978 0.892099 21818
Classification report for turbine 19, turbine category 10.0
precision recall f1-score support
10 0.005650 0.023256 0.009091 43
11 0.000000 0.000000 0.000000 144
12 0.030303 0.006944 0.011299 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.938674 0.961892 0.950141 18395
20 0.780145 0.871185 0.823155 2228
avg / total 0.871284 0.900037 0.885226 21818
Classification report for turbine 19, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 85
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.904016 0.938660 0.921012 15683
20 0.925976 0.756174 0.832505 5426
avg / total 0.880100 0.862774 0.869072 21818
Classification report for turbine 19, turbine category 10.0
precision recall f1-score support
10 0.636364 0.033816 0.064220 414
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 252
13 0.014286 0.003968 0.006211 252
14 0.000000 0.000000 0.000000 230
15 0.000000 0.000000 0.000000 216
16 0.000000 0.000000 0.000000 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 215
19 0.896941 0.981596 0.937361 18637
20 0.621570 0.715686 0.665316 918
avg / total 0.804562 0.869282 0.829980 21818
Classification report for turbine 19, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980291 0.953460 0.966689 20971
20 0.867841 0.709910 0.780971 555
avg / total 0.964311 0.934504 0.949027 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 11.0
precision recall f1-score support
10 0.054795 0.016327 0.025157 245
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973462 0.953262 0.963256 20818
20 0.287986 0.349036 0.315586 467
avg / total 0.935624 0.917224 0.926144 21818
Classification report for turbine 19, turbine category 11.0
precision recall f1-score support
10 0.058824 0.032967 0.042254 364
11 0.149171 0.187500 0.166154 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.924850 0.963877 0.943961 18271
20 0.778605 0.824225 0.800765 2031
avg / total 0.848940 0.885691 0.866842 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 11.0
precision recall f1-score support
10 0.697674 0.206186 0.318302 873
11 0.002915 0.002778 0.002845 360
12 0.000000 0.000000 0.000000 326
13 0.000000 0.000000 0.000000 324
14 0.000000 0.000000 0.000000 318
15 0.104167 0.017361 0.029762 288
16 0.100000 0.006944 0.012987 288
17 0.000000 0.000000 0.000000 286
18 0.000000 0.000000 0.000000 247
19 0.771391 0.945556 0.849640 13739
20 0.865428 0.732229 0.793276 4769
avg / total 0.705577 0.764094 0.721769 21818
Classification report for turbine 19, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987391 0.969724 0.978477 20511
20 0.936590 0.689365 0.794182 1307
avg / total 0.984348 0.952929 0.967437 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980453 0.968486 0.974433 20975
20 0.844017 0.718182 0.776031 550
avg / total 0.963847 0.949170 0.956345 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 16.0
precision recall f1-score support
19 0.988041 0.993608 0.990817 21120
20 0.766839 0.636103 0.695380 698
avg / total 0.980964 0.982171 0.981365 21818
Classification report for turbine 19, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 128
11 0.000000 0.000000 0.000000 77
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.948905 0.983589 0.965936 18768
20 0.830795 0.838958 0.834857 2341
avg / total 0.905397 0.936108 0.920482 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 126
11 0.000000 0.000000 0.000000 190
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.877051 0.960745 0.916993 15132
20 0.917387 0.811824 0.861383 5362
avg / total 0.833741 0.865845 0.847679 21818
Classification report for turbine 19, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987179 0.983521 0.985347 20511
20 0.943609 0.768171 0.846900 1307
avg / total 0.984569 0.970621 0.977053 21818
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993647 0.993460 0.993554 21255
20 0.903226 0.746004 0.817121 563
avg / total 0.991314 0.987075 0.989001 21818
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 19, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 52
11 0.026316 0.010417 0.014925 288
12 0.050000 0.003472 0.006494 288
13 0.000000 0.000000 0.000000 288
14 0.000000 0.000000 0.000000 288
15 0.058824 0.027778 0.037736 288
16 0.000000 0.000000 0.000000 257
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.886385 0.982159 0.931818 18945
20 0.720841 0.608065 0.659668 620
avg / total 0.791934 0.870657 0.828642 21818
Classification report for turbine 19, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.022222 0.009259 0.013072 108
15 0.021277 0.009259 0.012903 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.937170 0.961018 0.948944 18470
20 0.866075 0.830632 0.847983 2468
avg / total 0.891544 0.907599 0.899378 21818
Classification report for turbine 19, turbine category 18.0
precision recall f1-score support
10 0.111111 0.136364 0.122449 22
11 0.000000 0.000000 0.000000 124
12 0.060606 0.018519 0.028369 108
13 0.018519 0.009259 0.012346 108
14 0.022222 0.018519 0.020202 108
15 0.011494 0.009259 0.010256 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.020833 0.009259 0.012821 108
19 0.886369 0.963229 0.923202 15338
20 0.950851 0.801183 0.869624 5578
avg / total 0.866984 0.882437 0.871876 21818
Classification report for turbine 19, turbine category 18.0
precision recall f1-score support
10 0.200000 0.033333 0.057143 30
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.033333 0.005556 0.009524 180
14 0.000000 0.000000 0.000000 180
15 0.057143 0.011111 0.018605 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.019608 0.005556 0.008658 180
19 0.923277 0.982850 0.952133 19125
20 0.850885 0.825838 0.838174 1223
avg / total 0.858196 0.908058 0.881976 21818
Classification report for turbine 19, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.103448 0.020833 0.034682 144
16 0.096774 0.020833 0.034286 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.940917 0.984838 0.962376 20116
20 0.816116 0.750951 0.782178 526
avg / total 0.888514 0.926391 0.906615 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 19.0
precision recall f1-score support
19 0.988677 0.992235 0.990453 21120
20 0.736334 0.656160 0.693939 698
avg / total 0.980604 0.981483 0.980967 21818
Classification report for turbine 19, turbine category 19.0
precision recall f1-score support
19 0.977288 0.984369 0.980816 19321
20 0.871871 0.822988 0.846724 2497
avg / total 0.965223 0.965900 0.965470 21818
Classification report for turbine 19, turbine category 19.0
precision recall f1-score support
19 0.948491 0.988083 0.967882 16195
20 0.960986 0.845456 0.899527 5623
avg / total 0.951712 0.951325 0.950266 21818
Classification report for turbine 19, turbine category 19.0
precision recall f1-score support
19 0.992365 0.994832 0.993597 20511
20 0.915605 0.879878 0.897386 1307
avg / total 0.987766 0.987946 0.987833 21818
Classification report for turbine 19, turbine category 19.0
precision recall f1-score support
19 0.995023 0.996989 0.996005 21255
20 0.877159 0.811723 0.843173 563
avg / total 0.991981 0.992208 0.992061 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 20.0
precision recall f1-score support
19 0.988460 0.993655 0.991051 21120
20 0.771721 0.648997 0.705058 698
avg / total 0.981526 0.982629 0.981902 21818
Classification report for turbine 19, turbine category 20.0
precision recall f1-score support
19 0.979180 0.985819 0.982488 19321
20 0.884193 0.837805 0.860374 2497
avg / total 0.968309 0.968879 0.968512 21818
Classification report for turbine 19, turbine category 20.0
precision recall f1-score support
19 0.955799 0.990738 0.972955 16195
20 0.970185 0.868042 0.916276 5623
avg / total 0.959507 0.959116 0.958347 21818
Classification report for turbine 19, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980500 0.995261 0.987825 20259
20 0.885167 0.883758 0.884462 1256
avg / total 0.961395 0.975021 0.968157 21818
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 19, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.980902 0.997043 0.988906 20966
20 0.906445 0.781362 0.839269 558
avg / total 0.965780 0.978091 0.971754 21818
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.973775 0.980036 0.976895 20687
20 0.822866 0.478913 0.605450 1067
avg / total 0.966373 0.955456 0.958677 21754
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 2.0
precision recall f1-score support
10 0.025000 0.090909 0.039216 11
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.953122 0.981809 0.967253 16712
20 0.941216 0.881088 0.910160 4743
avg / total 0.937439 0.946401 0.941531 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 2.0
precision recall f1-score support
10 1.000000 0.016949 0.033333 59
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 102
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.939539 0.986451 0.962424 15942
20 0.928414 0.925445 0.926927 5003
avg / total 0.904752 0.935782 0.918559 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.926368 0.991020 0.957604 19487
20 0.883292 0.364789 0.516338 1971
avg / total 0.909861 0.920796 0.904594 21754
Classification report for turbine 20, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.943024 0.983965 0.963059 15778
20 0.926980 0.842309 0.882619 5682
avg / total 0.926089 0.933667 0.929033 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 3.0
precision recall f1-score support
10 0.600000 0.614173 0.607004 127
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.018868 0.006944 0.010152 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.920977 0.981440 0.950248 19558
20 0.749004 0.410033 0.529951 917
avg / total 0.863208 0.903282 0.880273 21754
Classification report for turbine 20, turbine category 3.0
precision recall f1-score support
10 0.086957 0.115942 0.099379 69
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.076923 0.027778 0.040816 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.947925 0.968624 0.958163 16669
20 0.941014 0.867174 0.902587 4728
avg / total 0.931270 0.931093 0.930742 21754
Classification report for turbine 20, turbine category 3.0
precision recall f1-score support
10 0.137931 0.072727 0.095238 55
11 0.083333 0.003690 0.007067 271
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 250
14 0.023810 0.005814 0.009346 172
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 142
19 0.907683 0.970014 0.937814 15407
20 0.885433 0.924576 0.904581 4773
avg / total 0.838701 0.890135 0.863070 21754
Classification report for turbine 20, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.933202 0.985595 0.958683 19646
20 0.859137 0.373414 0.520569 1813
avg / total 0.914374 0.921210 0.909170 21754
Classification report for turbine 20, turbine category 3.0
precision recall f1-score support
10 0.307692 0.100000 0.150943 160
11 0.000000 0.000000 0.000000 108
12 0.111111 0.009259 0.017094 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.142857 0.009259 0.017391 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.864999 0.977592 0.917855 15173
20 0.868732 0.701458 0.776185 5557
avg / total 0.828759 0.861864 0.839742 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 4.0
precision recall f1-score support
19 0.979853 0.994489 0.987117 20687
20 0.849604 0.603561 0.705753 1067
avg / total 0.973465 0.975315 0.973317 21754
Classification report for turbine 20, turbine category 4.0
precision recall f1-score support
19 0.960321 0.985292 0.972646 16998
20 0.942049 0.854500 0.896141 4756
avg / total 0.956326 0.956698 0.955920 21754
Classification report for turbine 20, turbine category 4.0
precision recall f1-score support
19 0.979366 0.988709 0.984015 16562
20 0.962853 0.933552 0.947976 5192
avg / total 0.975425 0.975545 0.975414 21754
Classification report for turbine 20, turbine category 4.0
precision recall f1-score support
19 0.960823 0.994489 0.977366 19778
20 0.915043 0.594130 0.720466 1976
avg / total 0.956664 0.958123 0.954031 21754
Classification report for turbine 20, turbine category 4.0
precision recall f1-score support
19 0.868904 0.995061 0.927713 15793
20 0.978735 0.602248 0.745664 5961
avg / total 0.899000 0.887423 0.877828 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 15
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.964624 0.994607 0.979386 20397
20 0.829876 0.569260 0.675295 1054
avg / total 0.944659 0.960145 0.951011 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.970588 0.984292 0.977392 16998
20 0.944928 0.891085 0.917217 4756
avg / total 0.964978 0.963915 0.964236 21754
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.979395 0.987260 0.983312 16562
20 0.962632 0.932781 0.947471 5192
avg / total 0.975394 0.974258 0.974758 21754
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 35
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 30
19 0.928660 0.994929 0.960653 19521
20 0.846339 0.364341 0.509393 1935
avg / total 0.908616 0.925209 0.907354 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 634
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.868124 0.989412 0.924808 15489
20 0.827320 0.622310 0.710318 5343
avg / total 0.821309 0.857314 0.832931 21754
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962728 0.994465 0.978339 20415
20 0.812883 0.510106 0.626848 1039
avg / total 0.942294 0.957617 0.948059 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 48
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.953742 0.984679 0.968963 16709
20 0.938551 0.888724 0.912958 4709
avg / total 0.935723 0.948699 0.941874 21754
Classification report for turbine 20, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.974129 0.985315 0.979690 16547
20 0.905961 0.915361 0.910637 4915
avg / total 0.945652 0.956284 0.950938 21754
Classification report for turbine 20, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.940206 0.994590 0.966634 19778
20 0.908521 0.366903 0.522711 1976
avg / total 0.937328 0.937575 0.926311 21754
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.968734 0.978978 0.973829 15793
20 0.955707 0.915786 0.935321 5961
avg / total 0.965165 0.961662 0.963277 21754
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 7.0
precision recall f1-score support
19 0.980923 0.994248 0.987541 20687
20 0.848601 0.625117 0.719914 1067
avg / total 0.974433 0.976142 0.974414 21754
Classification report for turbine 20, turbine category 7.0
precision recall f1-score support
19 0.968251 0.984998 0.976553 16998
20 0.942851 0.884567 0.912779 4756
avg / total 0.962698 0.963041 0.962610 21754
Classification report for turbine 20, turbine category 7.0
precision recall f1-score support
19 0.979526 0.987924 0.983707 16562
20 0.960396 0.934129 0.947081 5192
avg / total 0.974960 0.975085 0.974966 21754
Classification report for turbine 20, turbine category 7.0
precision recall f1-score support
19 0.953098 0.995601 0.973886 19778
20 0.920475 0.509615 0.656026 1976
avg / total 0.950135 0.951457 0.945014 21754
Classification report for turbine 20, turbine category 7.0
precision recall f1-score support
19 0.988541 0.988666 0.988603 15793
20 0.969961 0.969636 0.969799 5961
avg / total 0.983450 0.983451 0.983450 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 8.0
precision recall f1-score support
10 0.111111 0.010204 0.018692 98
11 0.000000 0.000000 0.000000 89
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 70
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.950034 0.983339 0.966399 20167
20 0.793388 0.494845 0.609524 970
avg / total 0.916604 0.933713 0.923161 21754
Classification report for turbine 20, turbine category 8.0
precision recall f1-score support
10 0.032258 0.003322 0.006024 602
11 0.000000 0.000000 0.000000 36
12 0.055556 0.027778 0.037037 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.954243 0.974696 0.964361 16796
20 0.776883 0.806293 0.791315 4068
avg / total 0.883022 0.903466 0.892776 21754
Classification report for turbine 20, turbine category 8.0
precision recall f1-score support
10 0.011278 0.500000 0.022059 12
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.058824 0.009901 0.016949 101
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.939455 0.959343 0.949295 16061
20 0.918075 0.870235 0.893515 4932
avg / total 0.902023 0.905902 0.903531 21754
Classification report for turbine 20, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 123
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 83
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 79
19 0.909047 0.988701 0.947202 19116
20 0.807082 0.348078 0.486387 1899
avg / total 0.869265 0.899191 0.874799 21754
Classification report for turbine 20, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.761420 0.986229 0.859366 15177
20 0.939846 0.320646 0.478159 5701
avg / total 0.777518 0.772088 0.724859 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 9.0
precision recall f1-score support
19 0.977722 0.994973 0.986272 20687
20 0.851852 0.560450 0.676088 1067
avg / total 0.971548 0.973660 0.971058 21754
Classification report for turbine 20, turbine category 9.0
precision recall f1-score support
19 0.969587 0.986528 0.977984 16998
20 0.948643 0.889403 0.918068 4756
avg / total 0.965008 0.965294 0.964885 21754
Classification report for turbine 20, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 316
11 0.000000 0.000000 0.000000 255
12 0.000000 0.000000 0.000000 214
13 0.000000 0.000000 0.000000 162
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 134
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 99
18 0.000000 0.000000 0.000000 72
19 0.924654 0.987327 0.954963 15624
20 0.853086 0.935149 0.892235 4626
avg / total 0.845507 0.907971 0.875601 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 89
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 45
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.926416 0.992710 0.958418 19480
20 0.745124 0.309395 0.437238 1852
avg / total 0.893010 0.915280 0.895456 21754
Classification report for turbine 20, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 81
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 178
14 0.000000 0.000000 0.000000 144
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.847050 0.977131 0.907452 14736
20 0.904957 0.739391 0.813839 5679
avg / total 0.810029 0.854923 0.827159 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 33
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.006711 0.027778 0.010811 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.958598 0.969515 0.964026 20371
20 0.807757 0.451036 0.578852 1062
avg / total 0.937101 0.929944 0.931015 21754
Classification report for turbine 20, turbine category 10.0
precision recall f1-score support
10 0.071429 0.055046 0.062176 109
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 65
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.962661 0.974966 0.968775 16977
20 0.841690 0.854584 0.848088 4243
avg / total 0.915794 0.927829 0.921766 21754
Classification report for turbine 20, turbine category 10.0
precision recall f1-score support
10 0.185000 0.066249 0.097561 1117
11 0.000000 0.000000 0.000000 258
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 202
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 180
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 173
18 0.000000 0.000000 0.000000 144
19 0.888800 0.954848 0.920641 15193
20 0.718303 0.757607 0.737432 3911
avg / total 0.759376 0.806472 0.780563 21754
Classification report for turbine 20, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.938258 0.985792 0.961438 19778
20 0.879617 0.325405 0.475065 1976
avg / total 0.932931 0.925807 0.917259 21754
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.775931 0.987146 0.868887 15793
20 0.954305 0.241738 0.385758 5961
avg / total 0.824808 0.782891 0.736501 21754
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 11.0
precision recall f1-score support
10 0.017857 0.005263 0.008130 190
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.934182 0.991782 0.962121 19835
20 0.765324 0.505202 0.608635 865
avg / total 0.882362 0.924428 0.901521 21754
Classification report for turbine 20, turbine category 11.0
precision recall f1-score support
10 0.942067 0.546389 0.691636 3988
11 0.047059 0.007519 0.012966 532
12 0.000000 0.000000 0.000000 401
13 0.058824 0.002907 0.005540 344
14 0.000000 0.000000 0.000000 288
15 0.000000 0.000000 0.000000 288
16 0.000000 0.000000 0.000000 239
17 0.066667 0.004630 0.008658 216
18 0.000000 0.000000 0.000000 216
19 0.826727 0.980254 0.896969 14383
20 0.277108 0.696158 0.396420 859
avg / total 0.732991 0.776041 0.735982 21754
Classification report for turbine 20, turbine category 11.0
precision recall f1-score support
10 0.110234 0.826165 0.194515 558
11 0.051331 0.183673 0.080238 147
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.018519 0.009259 0.012346 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.942760 0.905712 0.923865 15930
20 0.770732 0.217282 0.338995 4363
avg / total 0.848208 0.729291 0.750109 21754
Classification report for turbine 20, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.940485 0.982759 0.961157 19778
20 0.843478 0.196356 0.318555 1976
avg / total 0.931673 0.911327 0.902787 21754
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 11.0
precision recall f1-score support
10 0.045620 0.284091 0.078616 88
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.854783 0.980405 0.913294 15412
20 0.921185 0.547552 0.686844 5678
avg / total 0.846209 0.838650 0.826630 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 16.0
precision recall f1-score support
19 0.978615 0.995456 0.986964 20687
20 0.867792 0.578257 0.694038 1067
avg / total 0.973180 0.974993 0.972596 21754
Classification report for turbine 20, turbine category 16.0
precision recall f1-score support
19 0.969539 0.986822 0.978104 16998
20 0.949697 0.889193 0.918449 4756
avg / total 0.965201 0.965478 0.965062 21754
Classification report for turbine 20, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.965115 0.985384 0.975144 16284
20 0.950858 0.942040 0.946429 5176
avg / total 0.948679 0.961754 0.955133 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.944855 0.990191 0.966992 19778
20 0.880550 0.421559 0.570157 1976
avg / total 0.939013 0.938540 0.930946 21754
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.963981 0.986260 0.974993 15793
20 0.963288 0.902365 0.931832 5961
avg / total 0.963791 0.963271 0.963166 21754
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 20, turbine category 18.0
precision recall f1-score support
10 0.200000 0.038462 0.064516 52
11 0.016393 0.003472 0.005731 288
12 0.030303 0.003472 0.006231 288
13 0.000000 0.000000 0.000000 288
14 0.000000 0.000000 0.000000 288
15 0.025000 0.003472 0.006098 288
16 0.037736 0.006944 0.011730 288
17 0.069767 0.010417 0.018127 288
18 0.027523 0.020833 0.023715 288
19 0.880045 0.976238 0.925649 18517
20 0.716788 0.557321 0.627075 881
avg / total 0.781338 0.854280 0.814410 21754
Classification report for turbine 20, turbine category 18.0
precision recall f1-score support
10 0.028571 0.083333 0.042553 12
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.008264 0.027778 0.012739 72
15 0.000000 0.000000 0.000000 72
16 0.026087 0.041667 0.032086 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.937272 0.935505 0.936388 16451
20 0.939302 0.850053 0.892452 4715
avg / total 0.912507 0.891974 0.901727 21754
Classification report for turbine 20, turbine category 18.0
precision recall f1-score support
10 0.050000 0.076923 0.060606 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.940755 0.966960 0.953677 16011
20 0.954295 0.907451 0.930283 5154
avg / total 0.918521 0.926726 0.922350 21754
Classification report for turbine 20, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.034483 0.009259 0.014599 108
12 0.020833 0.009259 0.012821 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.904405 0.983955 0.942504 19009
20 0.862651 0.383914 0.531354 1865
avg / total 0.864515 0.892801 0.869266 21754
Classification report for turbine 20, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.050000 0.009259 0.015625 108
12 0.033333 0.009259 0.014493 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.861416 0.980750 0.917218 15065
20 0.932688 0.713572 0.808548 5806
avg / total 0.845886 0.869725 0.851134 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 19.0
precision recall f1-score support
19 0.974704 0.994634 0.984568 20687
20 0.827640 0.499531 0.623027 1067
avg / total 0.967491 0.970350 0.966835 21754
Classification report for turbine 20, turbine category 19.0
precision recall f1-score support
19 0.961896 0.986116 0.973855 16998
20 0.945471 0.860387 0.900925 4756
avg / total 0.958305 0.958628 0.957911 21754
Classification report for turbine 20, turbine category 19.0
precision recall f1-score support
19 0.978727 0.988951 0.983812 16562
20 0.963539 0.931433 0.947214 5192
avg / total 0.975102 0.975223 0.975077 21754
Classification report for turbine 20, turbine category 19.0
precision recall f1-score support
19 0.943497 0.995399 0.968753 19778
20 0.897523 0.403340 0.556564 1976
avg / total 0.939321 0.941620 0.931312 21754
Classification report for turbine 20, turbine category 19.0
precision recall f1-score support
19 0.959558 0.994555 0.976743 15793
20 0.984030 0.888945 0.934074 5961
avg / total 0.966263 0.965616 0.965051 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 20.0
precision recall f1-score support
19 0.976583 0.993861 0.985146 20687
20 0.818830 0.537957 0.649321 1067
avg / total 0.968845 0.971499 0.968674 21754
Classification report for turbine 20, turbine category 20.0
precision recall f1-score support
19 0.959908 0.987410 0.973465 16998
20 0.949871 0.852607 0.898615 4756
avg / total 0.957714 0.957939 0.957101 21754
Classification report for turbine 20, turbine category 20.0
precision recall f1-score support
19 0.981339 0.987502 0.984411 16562
20 0.959316 0.940100 0.949611 5192
avg / total 0.976083 0.976188 0.976105 21754
Classification report for turbine 20, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.930613 0.995129 0.961790 19502
20 0.864444 0.399589 0.546540 1947
avg / total 0.911643 0.927875 0.911140 21754
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 20, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.897699 0.992908 0.942906 15793
20 0.979113 0.699883 0.816279 5961
avg / total 0.920008 0.912614 0.908208 21754
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 30
12 0.000000 0.000000 0.000000 31
13 0.000000 0.000000 0.000000 27
14 0.000000 0.000000 0.000000 27
15 0.000000 0.000000 0.000000 28
16 0.000000 0.000000 0.000000 27
17 0.000000 0.000000 0.000000 25
18 0.000000 0.000000 0.000000 26
19 0.977014 0.987098 0.982030 15114
20 0.751530 0.826380 0.787179 743
avg / total 0.952631 0.965562 0.958990 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.991283 0.987218 0.989247 14630
20 0.879630 0.912835 0.895925 1457
avg / total 0.981171 0.980481 0.980794 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.958059 0.995070 0.976214 13590
20 0.969959 0.762915 0.854069 2497
avg / total 0.959906 0.959035 0.957255 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
19 0.995017 0.996978 0.995997 15223
20 0.945978 0.912037 0.928698 864
avg / total 0.992384 0.992416 0.992382 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.992421 0.996595 0.994504 14979
20 0.953890 0.896209 0.924151 1108
avg / total 0.989767 0.989681 0.989658 16087
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 3.0
precision recall f1-score support
19 0.992357 0.990546 0.991451 15337
20 0.813625 0.844000 0.828534 750
avg / total 0.984025 0.983714 0.983855 16087
Classification report for turbine 21, turbine category 3.0
precision recall f1-score support
19 0.992236 0.987081 0.989652 14630
20 0.876712 0.922443 0.898997 1457
avg / total 0.981773 0.981227 0.981441 16087
Classification report for turbine 21, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 108
11 0.000000 0.000000 0.000000 30
12 0.000000 0.000000 0.000000 30
13 0.000000 0.000000 0.000000 26
14 0.000000 0.000000 0.000000 20
15 0.000000 0.000000 0.000000 27
16 0.000000 0.000000 0.000000 27
17 0.000000 0.000000 0.000000 27
18 0.000000 0.000000 0.000000 26
19 0.952316 0.995957 0.973648 13355
20 0.936792 0.823725 0.876628 2411
avg / total 0.930987 0.950270 0.939679 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994537 0.992577 0.993556 15223
20 0.926278 0.901620 0.913783 864
avg / total 0.990871 0.987692 0.989272 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994270 0.996195 0.995231 14979
20 0.955056 0.920578 0.937500 1108
avg / total 0.991569 0.990987 0.991255 16087
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 4.0
precision recall f1-score support
19 0.993749 0.984743 0.989225 15337
20 0.736783 0.873333 0.799268 750
avg / total 0.981769 0.979549 0.980369 16087
Classification report for turbine 21, turbine category 4.0
precision recall f1-score support
19 0.992254 0.989405 0.990828 14630
20 0.896598 0.922443 0.909337 1457
avg / total 0.983590 0.983341 0.983447 16087
Classification report for turbine 21, turbine category 4.0
precision recall f1-score support
19 0.968001 0.994996 0.981313 13590
20 0.967894 0.820985 0.888407 2497
avg / total 0.967984 0.967987 0.966892 16087
Classification report for turbine 21, turbine category 4.0
precision recall f1-score support
19 0.995861 0.995730 0.995796 15223
20 0.924942 0.927083 0.926012 864
avg / total 0.992052 0.992043 0.992048 16087
Classification report for turbine 21, turbine category 4.0
precision recall f1-score support
19 0.994208 0.996996 0.995600 14979
20 0.957786 0.921480 0.939282 1108
avg / total 0.991700 0.991795 0.991721 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989455 0.978875 0.984136 15337
20 0.740088 0.672000 0.704403 750
avg / total 0.977829 0.964568 0.971095 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
11 0.000000 0.000000 0.000000 30
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 28
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 29
16 0.000000 0.000000 0.000000 29
17 0.000000 0.000000 0.000000 27
18 0.000000 0.000000 0.000000 28
19 0.986075 0.988098 0.987086 14620
20 0.722590 0.812914 0.765095 1208
avg / total 0.950414 0.959035 0.954524 16087
Classification report for turbine 21, turbine category 5.0
precision recall f1-score support
10 0.078431 0.363636 0.129032 11
11 0.000000 0.000000 0.000000 62
12 0.000000 0.000000 0.000000 52
13 0.000000 0.000000 0.000000 55
14 0.000000 0.000000 0.000000 49
15 0.000000 0.000000 0.000000 53
16 0.000000 0.000000 0.000000 54
17 0.000000 0.000000 0.000000 56
18 0.000000 0.000000 0.000000 51
19 0.928571 0.975469 0.951443 13167
20 0.955929 0.735567 0.831394 2477
avg / total 0.907267 0.911916 0.906846 16087
Classification report for turbine 21, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 57
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 106
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 105
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 106
19 0.937389 0.987270 0.961683 14376
20 0.853315 0.759097 0.803453 797
avg / total 0.879965 0.919873 0.899205 16087
Classification report for turbine 21, turbine category 5.0
precision recall f1-score support
10 0.013889 0.200000 0.025974 5
11 0.000000 0.000000 0.000000 20
12 0.000000 0.000000 0.000000 23
13 0.000000 0.000000 0.000000 33
14 0.000000 0.000000 0.000000 35
15 0.000000 0.000000 0.000000 34
16 0.000000 0.000000 0.000000 33
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.987996 0.977259 0.982598 14907
20 0.784008 0.816216 0.799788 925
avg / total 0.960610 0.952570 0.956519 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.989976 0.985199 0.987582 15337
20 0.784676 0.792000 0.788321 750
avg / total 0.980404 0.976192 0.978292 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.988543 0.984894 0.986715 14630
20 0.863300 0.879890 0.871516 1457
avg / total 0.977200 0.975384 0.976281 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 2
11 0.000000 0.000000 0.000000 31
12 0.000000 0.000000 0.000000 29
13 0.000000 0.000000 0.000000 25
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 31
16 0.000000 0.000000 0.000000 30
17 0.000000 0.000000 0.000000 26
18 0.000000 0.000000 0.000000 20
19 0.951811 0.992419 0.971691 13454
20 0.918217 0.777686 0.842129 2411
avg / total 0.933641 0.946541 0.938864 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994421 0.995270 0.994846 15223
20 0.930456 0.898148 0.914016 864
avg / total 0.990986 0.990054 0.990504 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 6.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.994729 0.995260 0.994994 14979
20 0.945622 0.925993 0.935705 1108
avg / total 0.991347 0.990489 0.990911 16087
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 7.0
precision recall f1-score support
19 0.991261 0.991067 0.991164 15337
20 0.818061 0.821333 0.819694 750
avg / total 0.983186 0.983154 0.983170 16087
Classification report for turbine 21, turbine category 7.0
precision recall f1-score support
19 0.992029 0.986740 0.989377 14630
20 0.873616 0.920384 0.896390 1457
avg / total 0.981304 0.980730 0.980955 16087
Classification report for turbine 21, turbine category 7.0
precision recall f1-score support
19 0.970668 0.995953 0.983148 13590
20 0.974335 0.836203 0.900000 2497
avg / total 0.971238 0.971157 0.970242 16087
Classification report for turbine 21, turbine category 7.0
precision recall f1-score support
19 0.995537 0.996321 0.995929 15223
20 0.934272 0.921296 0.927739 864
avg / total 0.992246 0.992292 0.992266 16087
Classification report for turbine 21, turbine category 7.0
precision recall f1-score support
19 0.994542 0.997463 0.996000 14979
20 0.964286 0.925993 0.944751 1108
avg / total 0.992458 0.992541 0.992470 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 8.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991288 0.971833 0.981464 15337
20 0.725749 0.808000 0.764669 750
avg / total 0.978908 0.964195 0.971356 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 23
11 0.000000 0.000000 0.000000 102
12 0.000000 0.000000 0.000000 96
13 0.000000 0.000000 0.000000 89
14 0.000000 0.000000 0.000000 95
15 0.400000 0.023529 0.044444 85
16 0.000000 0.000000 0.000000 86
17 0.000000 0.000000 0.000000 83
18 0.000000 0.000000 0.000000 81
19 0.966445 0.989275 0.977727 14266
20 0.676164 0.900093 0.772222 1081
avg / total 0.904596 0.937900 0.919177 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 27
12 0.000000 0.000000 0.000000 28
13 0.000000 0.000000 0.000000 31
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 28
16 0.000000 0.000000 0.000000 29
17 0.000000 0.000000 0.000000 29
18 0.000000 0.000000 0.000000 22
19 0.945554 0.990877 0.967685 13373
20 0.964620 0.748788 0.843111 2476
avg / total 0.934500 0.938957 0.934195 16087
Classification report for turbine 21, turbine category 8.0
precision recall f1-score support
10 0.062500 0.026087 0.036810 115
11 0.000000 0.000000 0.000000 35
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 34
14 0.000000 0.000000 0.000000 35
15 0.000000 0.000000 0.000000 34
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975629 0.991831 0.983663 14934
20 0.811054 0.834656 0.822686 756
avg / total 0.944265 0.960154 0.952086 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 8.0
precision recall f1-score support
10 0.015707 0.016949 0.016304 177
11 0.000000 0.000000 0.000000 201
12 0.000000 0.000000 0.000000 176
13 0.000000 0.000000 0.000000 163
14 0.000000 0.000000 0.000000 140
15 0.000000 0.000000 0.000000 144
16 0.000000 0.000000 0.000000 143
17 0.000000 0.000000 0.000000 140
18 0.500000 0.007407 0.014599 135
19 0.912278 0.983499 0.946551 13757
20 0.792490 0.880351 0.834113 911
avg / total 0.829393 0.891154 0.856992 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 9.0
precision recall f1-score support
19 0.993046 0.986960 0.989993 15337
20 0.763033 0.858667 0.808030 750
avg / total 0.982322 0.980978 0.981510 16087
Classification report for turbine 21, turbine category 9.0
precision recall f1-score support
19 0.992382 0.988312 0.990342 14630
20 0.887278 0.923816 0.905178 1457
avg / total 0.982862 0.982470 0.982629 16087
Classification report for turbine 21, turbine category 9.0
precision recall f1-score support
19 0.952408 0.995438 0.973448 13590
20 0.967074 0.729275 0.831507 2497
avg / total 0.954684 0.954124 0.951416 16087
Classification report for turbine 21, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 113
11 0.000000 0.000000 0.000000 26
12 0.000000 0.000000 0.000000 33
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.979578 0.996526 0.987980 14970
20 0.787879 0.927298 0.851922 729
avg / total 0.947265 0.969354 0.957985 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993545 0.996662 0.995101 14979
20 0.960539 0.900722 0.929669 1108
avg / total 0.991271 0.990054 0.990594 16087
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 10.0
precision recall f1-score support
10 0.410995 0.918129 0.567812 171
11 0.000000 0.000000 0.000000 88
12 0.000000 0.000000 0.000000 78
13 0.009217 0.024390 0.013378 82
14 0.004854 0.013514 0.007143 74
15 0.052083 0.063291 0.057143 79
16 0.006250 0.013158 0.008475 76
17 0.000000 0.000000 0.000000 78
18 0.012658 0.012195 0.012422 82
19 0.952498 0.893979 0.922311 14714
20 0.482625 0.442478 0.461681 565
avg / total 0.892942 0.843600 0.866329 16087
Classification report for turbine 21, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 29
12 0.000000 0.000000 0.000000 30
13 0.000000 0.000000 0.000000 28
14 0.000000 0.000000 0.000000 30
15 0.000000 0.000000 0.000000 26
16 0.000000 0.000000 0.000000 24
17 0.000000 0.000000 0.000000 23
18 0.000000 0.000000 0.000000 26
19 0.973287 0.940401 0.956562 14413
20 0.874104 0.588966 0.703749 1450
avg / total 0.950795 0.895630 0.920455 16087
Classification report for turbine 21, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 42
12 0.000000 0.000000 0.000000 59
13 0.000000 0.000000 0.000000 57
14 0.000000 0.000000 0.000000 51
15 0.000000 0.000000 0.000000 61
16 0.000000 0.000000 0.000000 56
17 0.000000 0.000000 0.000000 55
18 0.027778 0.017544 0.021505 57
19 0.934771 0.955162 0.944857 13203
20 0.933471 0.741196 0.826295 2442
avg / total 0.908989 0.896500 0.900975 16087
Classification report for turbine 21, turbine category 10.0
precision recall f1-score support
10 0.169811 0.103448 0.128571 174
11 0.233333 0.059322 0.094595 118
12 0.000000 0.000000 0.000000 52
13 0.000000 0.000000 0.000000 51
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 9
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.980155 0.984599 0.982372 14999
20 0.691790 0.783537 0.734811 656
avg / total 0.945623 0.951514 0.947981 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 72
12 0.044444 0.027778 0.034188 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 71
17 0.000000 0.000000 0.000000 71
18 0.000000 0.000000 0.000000 71
19 0.955745 0.979949 0.967696 14413
20 0.922258 0.792315 0.852362 1093
avg / total 0.919151 0.931933 0.925063 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 11.0
precision recall f1-score support
19 0.993312 0.987742 0.990519 15337
20 0.775120 0.864000 0.817150 750
avg / total 0.983139 0.981973 0.982436 16087
Classification report for turbine 21, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 546
11 0.000000 0.000000 0.000000 146
12 0.000000 0.000000 0.000000 147
13 0.000000 0.000000 0.000000 113
14 0.000000 0.000000 0.000000 112
15 0.000000 0.000000 0.000000 103
16 0.000000 0.000000 0.000000 107
17 0.000000 0.000000 0.000000 102
18 0.000000 0.000000 0.000000 103
19 0.927275 0.991827 0.958466 13704
20 0.547236 0.865044 0.670381 904
avg / total 0.820668 0.893517 0.854158 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.963804 0.989478 0.976472 13590
20 0.963874 0.737285 0.835489 2497
avg / total 0.963815 0.950333 0.954589 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 45
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.975435 0.991764 0.983531 14934
20 0.863824 0.765854 0.811894 820
avg / total 0.949554 0.959719 0.954424 16087
Classification report for turbine 21, turbine category 11.0
precision recall f1-score support
10 0.200000 0.010870 0.020619 460
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 138
13 0.000000 0.000000 0.000000 109
14 0.000000 0.000000 0.000000 107
15 0.000000 0.000000 0.000000 103
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 107
18 0.000000 0.000000 0.000000 94
19 0.937596 0.993634 0.964802 14138
20 0.492567 0.858377 0.625945 579
avg / total 0.847450 0.904457 0.871031 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 73
11 0.000000 0.000000 0.000000 52
12 0.000000 0.000000 0.000000 58
13 0.000000 0.000000 0.000000 60
14 0.000000 0.000000 0.000000 54
15 0.000000 0.000000 0.000000 64
16 0.000000 0.000000 0.000000 56
17 0.000000 0.000000 0.000000 54
18 0.000000 0.000000 0.000000 55
19 0.959527 0.981056 0.970172 14886
20 0.626322 0.789630 0.698558 675
avg / total 0.914172 0.940946 0.927053 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 16.0
precision recall f1-score support
10 0.142857 0.324324 0.198347 37
11 0.000000 0.000000 0.000000 77
12 0.000000 0.000000 0.000000 63
13 0.000000 0.000000 0.000000 50
14 0.000000 0.000000 0.000000 56
15 0.000000 0.000000 0.000000 48
16 0.000000 0.000000 0.000000 58
17 0.000000 0.000000 0.000000 55
18 0.000000 0.000000 0.000000 54
19 0.959928 0.982731 0.971196 14187
20 0.840283 0.848074 0.844160 1402
avg / total 0.920114 0.941319 0.930516 16087
Classification report for turbine 21, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.000000 0.000000 0.000000 29
12 0.000000 0.000000 0.000000 24
13 0.000000 0.000000 0.000000 26
14 0.000000 0.000000 0.000000 32
15 0.000000 0.000000 0.000000 26
16 0.000000 0.000000 0.000000 27
17 0.000000 0.000000 0.000000 34
18 0.000000 0.000000 0.000000 26
19 0.949437 0.990572 0.969568 13364
20 0.966200 0.806855 0.879367 2480
avg / total 0.937680 0.947287 0.941017 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993878 0.991854 0.992865 15223
20 0.924757 0.881944 0.902844 864
avg / total 0.990166 0.985951 0.988030 16087
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.
'recall', 'true', average, warn_for)
Classification report for turbine 21, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 23
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973411 0.994350 0.983769 14690
20 0.940777 0.892265 0.915879 1086
avg / total 0.952389 0.968235 0.960167 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 18.0
precision recall f1-score support
10 0.052632 0.058824 0.055556 17
11 0.004098 0.009901 0.005797 101
12 0.000000 0.000000 0.000000 103
13 0.000000 0.000000 0.000000 103
14 0.000000 0.000000 0.000000 116
15 0.000000 0.000000 0.000000 105
16 0.000000 0.000000 0.000000 106
17 0.097902 0.128440 0.111111 109
18 0.000000 0.000000 0.000000 112
19 0.937239 0.913643 0.925291 14498
20 0.707989 0.716876 0.712405 717
avg / total 0.876963 0.856344 0.866495 16087
Classification report for turbine 21, turbine category 18.0
precision recall f1-score support
10 0.200000 0.125000 0.153846 8
11 0.000000 0.000000 0.000000 54
12 0.000000 0.000000 0.000000 46
13 0.000000 0.000000 0.000000 46
14 0.000000 0.000000 0.000000 57
15 0.000000 0.000000 0.000000 55
16 0.000000 0.000000 0.000000 47
17 0.000000 0.000000 0.000000 51
18 0.045455 0.014925 0.022472 67
19 0.961409 0.966545 0.963970 14228
20 0.878596 0.876751 0.877673 1428
avg / total 0.928589 0.932803 0.930653 16087
Classification report for turbine 21, turbine category 18.0
precision recall f1-score support
10 0.027397 0.210526 0.048485 19
11 0.000000 0.000000 0.000000 101
12 0.015152 0.008696 0.011050 115
13 0.000000 0.000000 0.000000 110
14 0.000000 0.000000 0.000000 116
15 0.000000 0.000000 0.000000 111
16 0.000000 0.000000 0.000000 106
17 0.028571 0.009434 0.014184 106
18 0.000000 0.000000 0.000000 87
19 0.890758 0.959520 0.923861 12747
20 0.951486 0.635480 0.762020 2469
avg / total 0.852179 0.858208 0.849231 16087
Classification report for turbine 21, turbine category 18.0
precision recall f1-score support
10 1.000000 0.045455 0.086957 22
11 0.000000 0.000000 0.000000 115
12 0.000000 0.000000 0.000000 118
13 0.025641 0.008403 0.012658 119
14 0.000000 0.000000 0.000000 107
15 0.000000 0.000000 0.000000 111
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 116
18 0.058824 0.008403 0.014706 119
19 0.936266 0.974632 0.955064 14349
20 0.864532 0.874222 0.869350 803
avg / total 0.880260 0.913160 0.895597 16087
Classification report for turbine 21, turbine category 18.0
precision recall f1-score support
10 0.250000 0.142857 0.181818 7
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 35
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.186813 0.944444 0.311927 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.978948 0.977683 0.978315 14697
20 0.952607 0.916971 0.934449 1096
avg / total 0.959789 0.957854 0.958224 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 19.0
precision recall f1-score support
19 0.990480 0.990415 0.990448 15337
20 0.804261 0.805333 0.804797 750
avg / total 0.981798 0.981787 0.981792 16087
Classification report for turbine 21, turbine category 19.0
precision recall f1-score support
19 0.991556 0.987218 0.989382 14630
20 0.877055 0.915580 0.895903 1457
avg / total 0.981185 0.980730 0.980916 16087
Classification report for turbine 21, turbine category 19.0
precision recall f1-score support
19 0.972384 0.994923 0.983524 13590
20 0.968378 0.846215 0.903184 2497
avg / total 0.971762 0.971841 0.971054 16087
Classification report for turbine 21, turbine category 19.0
precision recall f1-score support
19 0.995601 0.996190 0.995896 15223
20 0.932164 0.922454 0.927283 864
avg / total 0.992194 0.992230 0.992211 16087
Classification report for turbine 21, turbine category 19.0
precision recall f1-score support
19 0.994671 0.996796 0.995732 14979
20 0.955390 0.927798 0.941392 1108
avg / total 0.991965 0.992043 0.991989 16087
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 20.0
precision recall f1-score support
19 0.991812 0.987220 0.989511 15337
20 0.761267 0.833333 0.795672 750
avg / total 0.981064 0.980046 0.980474 16087
Classification report for turbine 21, turbine category 20.0
precision recall f1-score support
19 0.992170 0.987355 0.989756 14630
20 0.878927 0.921757 0.899832 1457
avg / total 0.981913 0.981414 0.981612 16087
Classification report for turbine 21, turbine category 20.0
precision recall f1-score support
19 0.960415 0.994408 0.977116 13590
20 0.962302 0.776932 0.859739 2497
avg / total 0.960708 0.960651 0.958897 16087
Classification report for turbine 21, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 25
12 0.000000 0.000000 0.000000 32
13 0.000000 0.000000 0.000000 27
14 0.000000 0.000000 0.000000 32
15 0.000000 0.000000 0.000000 26
16 0.000000 0.000000 0.000000 21
17 0.000000 0.000000 0.000000 26
18 0.000000 0.000000 0.000000 25
19 0.982149 0.996670 0.989356 15015
20 0.925882 0.926973 0.926427 849
avg / total 0.965565 0.979176 0.972320 16087
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 21, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994136 0.995994 0.995064 14979
20 0.953227 0.919675 0.936151 1108
avg / total 0.991318 0.990738 0.991007 16087
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 14
11 0.000000 0.000000 0.000000 86
12 0.000000 0.000000 0.000000 90
13 0.000000 0.000000 0.000000 77
14 0.000000 0.000000 0.000000 87
15 0.000000 0.000000 0.000000 92
16 0.000000 0.000000 0.000000 90
17 0.000000 0.000000 0.000000 88
18 0.000000 0.000000 0.000000 94
19 0.951902 0.986274 0.968783 14207
20 0.817801 0.916129 0.864177 1705
avg / total 0.897055 0.936500 0.916231 16630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992720 0.985160 0.988926 15364
20 0.891641 0.909953 0.900704 1266
avg / total 0.985025 0.979435 0.982209 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.972881 0.971264 0.972072 14442
20 0.947398 0.781993 0.856785 2188
avg / total 0.969528 0.946362 0.956904 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.992456 0.991334 0.991895 15925
20 0.905280 0.826950 0.864344 705
avg / total 0.988760 0.984366 0.986488 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995825 0.987275 0.991531 16188
20 0.846154 0.846154 0.846154 442
avg / total 0.991847 0.983524 0.987668 16630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.988660 0.972880 0.980706 14786
20 0.891936 0.881779 0.886828 1844
avg / total 0.977935 0.962778 0.970297 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 2
11 0.000000 0.000000 0.000000 30
12 0.000000 0.000000 0.000000 28
13 0.000000 0.000000 0.000000 26
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 27
16 0.000000 0.000000 0.000000 29
17 0.000000 0.000000 0.000000 29
18 0.000000 0.000000 0.000000 26
19 0.979650 0.989460 0.984531 15180
20 0.878489 0.873469 0.875972 1225
avg / total 0.958944 0.967529 0.963214 16630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989430 0.972234 0.980756 14442
20 0.946536 0.930530 0.938465 2188
avg / total 0.983786 0.966747 0.975192 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 3.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992774 0.992151 0.992462 15925
20 0.931854 0.834043 0.880240 705
avg / total 0.990192 0.985448 0.987705 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 35
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 35
18 0.000000 0.000000 0.000000 35
19 0.981351 0.986396 0.983867 15951
20 0.736961 0.833333 0.782190 390
avg / total 0.958565 0.965664 0.962039 16630
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 4.0
precision recall f1-score support
19 0.988826 0.987556 0.988191 14786
20 0.901235 0.910521 0.905854 1844
avg / total 0.979114 0.979014 0.979061 16630
Classification report for turbine 22, turbine category 4.0
precision recall f1-score support
19 0.993546 0.991929 0.992737 15364
20 0.903950 0.921801 0.912788 1266
avg / total 0.986725 0.986590 0.986651 16630
Classification report for turbine 22, turbine category 4.0
precision recall f1-score support
19 0.983329 0.992453 0.987870 14442
20 0.946933 0.888940 0.917020 2188
avg / total 0.978540 0.978833 0.978548 16630
Classification report for turbine 22, turbine category 4.0
precision recall f1-score support
19 0.996174 0.997300 0.996737 15925
20 0.937409 0.913475 0.925287 705
avg / total 0.993683 0.993746 0.993708 16630
Classification report for turbine 22, turbine category 4.0
precision recall f1-score support
19 0.997031 0.995799 0.996415 16188
20 0.852814 0.891403 0.871681 442
avg / total 0.993198 0.993025 0.993100 16630
------------------------------------------------------------------------
Classification report for turbine 22, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989354 0.955363 0.972062 14786
20 0.874184 0.798807 0.834797 1844
avg / total 0.976584 0.938004 0.956841 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 25
12 0.000000 0.000000 0.000000 25
13 0.000000 0.000000 0.000000 22
14 0.000000 0.000000 0.000000 24
15 0.000000 0.000000 0.000000 30
16 0.000000 0.000000 0.000000 34
17 0.000000 0.000000 0.000000 28
18 0.000000 0.000000 0.000000 30
19 0.979118 0.987587 0.983334 15145
20 0.905109 0.884311 0.894589 1262
avg / total 0.960372 0.966506 0.963413 16630
Classification report for turbine 22, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 3
11 0.000000 0.000000 0.000000 23
12 0.000000 0.000000 0.000000 31
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 29
15 0.000000 0.000000 0.000000 32
16 0.000000 0.000000 0.000000 34
17 0.000000 0.000000 0.000000 31
18 0.000000 0.000000 0.000000 34
19 0.965527 0.986336 0.975821 14198
20 0.928817 0.865904 0.896258 2185
avg / total 0.946363 0.955863 0.950873 16630
Classification report for turbine 22, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 39
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.976319 0.991113 0.983661 15641
20 0.852575 0.725076 0.783673 662
avg / total 0.952196 0.961034 0.956358 16630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994351 0.989437 0.991888 16188
20 0.821951 0.762443 0.791080 442
avg / total 0.989769 0.983403 0.986550 16630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 126
11 0.000000 0.000000 0.000000 33
12 0.000000 0.000000 0.000000 29
13 0.000000 0.000000 0.000000 29
14 0.000000 0.000000 0.000000 30
15 0.000000 0.000000 0.000000 32
16 0.000000 0.000000 0.000000 28
17 0.000000 0.000000 0.000000 27
18 0.000000 0.000000 0.000000 33
19 0.982219 0.983627 0.982923 14658
20 0.758674 0.912773 0.828620 1605
avg / total 0.938968 0.955081 0.946339 16630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 20
12 0.000000 0.000000 0.000000 29
13 0.000000 0.000000 0.000000 32
14 0.000000 0.000000 0.000000 27
15 0.000000 0.000000 0.000000 28
16 0.000000 0.000000 0.000000 30
17 0.000000 0.000000 0.000000 27
18 0.000000 0.000000 0.000000 29
19 0.977829 0.987125 0.982455 15146
20 0.869027 0.788755 0.826947 1245
avg / total 0.955630 0.958088 0.956693 16630
Classification report for turbine 22, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.987281 0.972857 0.980016 14442
20 0.946673 0.916819 0.931507 2188
avg / total 0.981938 0.965484 0.973634 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 35
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 35
17 0.222222 0.057143 0.090909 35
18 0.000000 0.000000 0.000000 36
19 0.977423 0.990541 0.983939 15647
20 0.883721 0.878613 0.881159 692
avg / total 0.956888 0.968671 0.962636 16630
Classification report for turbine 22, turbine category 6.0
precision recall f1-score support
10 0.687500 0.392857 0.500000 84
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 70
13 0.000000 0.000000 0.000000 71
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 71
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 70
18 0.000000 0.000000 0.000000 72
19 0.959620 0.983157 0.971246 15615
20 0.715365 0.786704 0.749340 361
avg / total 0.920052 0.942213 0.930759 16630
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 7.0
precision recall f1-score support
19 0.990840 0.987623 0.989229 14786
20 0.903277 0.926790 0.914882 1844
avg / total 0.981131 0.980878 0.980985 16630
Classification report for turbine 22, turbine category 7.0
precision recall f1-score support
19 0.993674 0.991669 0.992670 15364
20 0.901311 0.923381 0.912212 1266
avg / total 0.986642 0.986470 0.986545 16630
Classification report for turbine 22, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 97
11 0.000000 0.000000 0.000000 84
12 0.000000 0.000000 0.000000 60
13 0.000000 0.000000 0.000000 39
14 0.000000 0.000000 0.000000 33
15 0.000000 0.000000 0.000000 34
16 0.000000 0.000000 0.000000 32
17 0.000000 0.000000 0.000000 33
18 0.000000 0.000000 0.000000 29
19 0.963995 0.991698 0.977650 14093
20 0.901501 0.916985 0.909177 2096
avg / total 0.930555 0.955983 0.943094 16630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995912 0.994411 0.995161 15925
20 0.912981 0.907801 0.910384 705
avg / total 0.992397 0.990740 0.991567 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996291 0.995490 0.995890 16188
20 0.854260 0.861991 0.858108 442
avg / total 0.992516 0.991942 0.992228 16630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 8.0
precision recall f1-score support
10 0.600852 0.723077 0.656323 585
11 0.000000 0.000000 0.000000 146
12 0.001366 0.007634 0.002317 131
13 0.000000 0.000000 0.000000 101
14 0.000000 0.000000 0.000000 121
15 0.000000 0.000000 0.000000 120
16 0.000000 0.000000 0.000000 119
17 0.000000 0.000000 0.000000 117
18 0.000000 0.000000 0.000000 99
19 0.936597 0.864706 0.899217 13940
20 0.682194 0.788879 0.731668 1151
avg / total 0.853460 0.804931 0.827510 16630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.058824 0.032258 0.041667 31
12 0.000000 0.000000 0.000000 27
13 0.000000 0.000000 0.000000 33
14 0.000000 0.000000 0.000000 32
15 0.000000 0.000000 0.000000 25
16 0.000000 0.000000 0.000000 30
17 0.000000 0.000000 0.000000 25
18 0.000000 0.000000 0.000000 26
19 0.982269 0.969155 0.975668 15205
20 0.867430 0.886288 0.876758 1196
avg / total 0.960594 0.949910 0.955197 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.983886 0.968148 0.975954 14442
20 0.929366 0.877971 0.902938 2188
avg / total 0.976713 0.956284 0.966347 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994072 0.989827 0.991945 15925
20 0.901173 0.763121 0.826421 705
avg / total 0.990134 0.980216 0.984928 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 34
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 71
19 0.959018 0.986862 0.972741 15603
20 0.802956 0.779904 0.791262 418
avg / total 0.919976 0.945520 0.932557 16630
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 9.0
precision recall f1-score support
19 0.991842 0.986677 0.989252 14786
20 0.897449 0.934924 0.915803 1844
avg / total 0.981375 0.980938 0.981108 16630
Classification report for turbine 22, turbine category 9.0
precision recall f1-score support
19 0.993416 0.991929 0.992672 15364
20 0.903801 0.920221 0.911937 1266
avg / total 0.986594 0.986470 0.986526 16630
Classification report for turbine 22, turbine category 9.0
precision recall f1-score support
19 0.984642 0.994391 0.989493 14442
20 0.960391 0.897623 0.927947 2188
avg / total 0.981451 0.981660 0.981395 16630
Classification report for turbine 22, turbine category 9.0
precision recall f1-score support
19 0.994922 0.996609 0.995765 15925
20 0.920354 0.885106 0.902386 705
avg / total 0.991761 0.991882 0.991806 16630
Classification report for turbine 22, turbine category 9.0
precision recall f1-score support
19 0.996722 0.995490 0.996106 16188
20 0.841991 0.880090 0.860619 442
avg / total 0.992609 0.992423 0.992505 16630
------------------------------------------------------------------------
Classification report for turbine 22, turbine category 10.0
precision recall f1-score support
10 0.115681 0.104167 0.109622 432
11 0.046980 0.087500 0.061135 240
12 0.011976 0.010204 0.011019 196
13 0.023256 0.022099 0.022663 181
14 0.000000 0.000000 0.000000 157
15 0.000000 0.000000 0.000000 108
16 0.006250 0.008333 0.007143 120
17 0.000000 0.000000 0.000000 115
18 0.000000 0.000000 0.000000 105
19 0.919844 0.840314 0.878282 13752
20 0.612466 0.738562 0.669630 1224
avg / total 0.809856 0.753638 0.779730 16630
Classification report for turbine 22, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991153 0.969865 0.980393 15364
20 0.897638 0.720379 0.799299 1266
avg / total 0.984034 0.950872 0.966607 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.983427 0.957347 0.970212 14442
20 0.940778 0.508227 0.659941 2188
avg / total 0.977816 0.898256 0.929389 16630
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 10.0
precision recall f1-score support
10 0.055556 0.004049 0.007547 247
11 0.013158 0.017544 0.015038 57
12 0.033333 0.018868 0.024096 53
13 0.000000 0.000000 0.000000 55
14 0.000000 0.000000 0.000000 46
15 0.000000 0.000000 0.000000 45
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 20
18 0.000000 0.000000 0.000000 28
19 0.981784 0.986731 0.984251 15676
20 0.426883 0.787466 0.553640 367
avg / total 0.935860 0.947685 0.940247 16630
Classification report for turbine 22, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.996176 0.981591 0.988830 16188
20 0.838384 0.751131 0.792363 442
avg / total 0.991982 0.975466 0.983608 16630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 11.0
precision recall f1-score support
10 0.065025 0.464789 0.114088 142
11 0.144737 0.068750 0.093220 160
12 0.022727 0.006757 0.010417 148
13 0.078947 0.044118 0.056604 136
14 0.000000 0.000000 0.000000 123
15 0.000000 0.000000 0.000000 111
16 0.000000 0.000000 0.000000 113
17 0.000000 0.000000 0.000000 117
18 0.000000 0.000000 0.000000 115
19 0.939333 0.938593 0.938963 13956
20 0.688973 0.484427 0.568872 1509
avg / total 0.853607 0.836681 0.842029 16630
Classification report for turbine 22, turbine category 11.0
precision recall f1-score support
10 0.370130 0.365385 0.367742 312
11 0.022124 0.014045 0.017182 356
12 0.004739 0.003774 0.004202 265
13 0.000000 0.000000 0.000000 190
14 0.014706 0.007752 0.010152 129
15 0.000000 0.000000 0.000000 112
16 0.000000 0.000000 0.000000 112
17 0.000000 0.000000 0.000000 119
18 0.000000 0.000000 0.000000 112
19 0.892153 0.918363 0.905068 13854
20 0.804746 0.697848 0.747495 1069
avg / total 0.802566 0.817198 0.809451 16630
Classification report for turbine 22, turbine category 11.0
precision recall f1-score support
10 0.123779 0.730769 0.211699 52
11 0.000000 0.000000 0.000000 54
12 0.023256 0.018519 0.020619 54
13 0.025641 0.016129 0.019802 62
14 0.003876 0.017857 0.006369 56
15 0.000000 0.000000 0.000000 55
16 0.000000 0.000000 0.000000 56
17 0.000000 0.000000 0.000000 64
18 0.000000 0.000000 0.000000 57
19 0.947125 0.952269 0.949690 13995
20 0.955975 0.715294 0.818304 2125
avg / total 0.919781 0.895250 0.904601 16630
Classification report for turbine 22, turbine category 11.0
precision recall f1-score support
10 0.238095 0.074627 0.113636 134
11 0.000000 0.000000 0.000000 30
12 0.000000 0.000000 0.000000 30
13 0.000000 0.000000 0.000000 28
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 24
16 0.000000 0.000000 0.000000 22
17 0.000000 0.000000 0.000000 21
18 0.000000 0.000000 0.000000 27
19 0.977356 0.972318 0.974830 15714
20 0.734940 0.746503 0.740676 572
avg / total 0.950719 0.945039 0.947527 16630
Classification report for turbine 22, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 35
13 0.031250 0.028571 0.029851 35
14 0.005814 0.027778 0.009615 36
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.500000 0.055556 0.100000 36
19 0.976869 0.974657 0.975762 15902
20 0.800570 0.640091 0.711392 439
avg / total 0.956399 0.949128 0.952126 16630
------------------------------------------------------------------------
Classification report for turbine 22, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 101
11 0.000000 0.000000 0.000000 84
12 0.000000 0.000000 0.000000 60
13 0.000000 0.000000 0.000000 58
14 0.000000 0.000000 0.000000 62
15 0.000000 0.000000 0.000000 58
16 0.090909 0.015152 0.025974 66
17 0.000000 0.000000 0.000000 55
18 0.000000 0.000000 0.000000 57
19 0.954007 0.971465 0.962657 14263
20 0.856610 0.909966 0.882482 1766
avg / total 0.909548 0.929886 0.919456 16630
Classification report for turbine 22, turbine category 16.0
precision recall f1-score support
10 0.250000 0.030418 0.054237 263
11 0.000000 0.000000 0.000000 246
12 0.000000 0.000000 0.000000 243
13 0.000000 0.000000 0.000000 234
14 0.050000 0.003876 0.007194 258
15 0.000000 0.000000 0.000000 243
16 0.000000 0.000000 0.000000 247
17 0.000000 0.000000 0.000000 229
18 0.000000 0.000000 0.000000 230
19 0.869628 0.980821 0.921884 13452
20 0.693959 0.886294 0.778422 985
avg / total 0.749275 0.846422 0.792787 16630
Classification report for turbine 22, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 10
11 0.000000 0.000000 0.000000 24
12 0.000000 0.000000 0.000000 30
13 0.000000 0.000000 0.000000 27
14 0.000000 0.000000 0.000000 29
15 0.000000 0.000000 0.000000 42
16 0.000000 0.000000 0.000000 52
17 0.000000 0.000000 0.000000 50
18 0.000000 0.000000 0.000000 52
19 0.964931 0.967388 0.966158 14136
20 0.933171 0.878329 0.904920 2178
avg / total 0.942436 0.937342 0.939779 16630
Classification report for turbine 22, turbine category 16.0
precision recall f1-score support
10 0.228916 0.441860 0.301587 43
11 0.000000 0.000000 0.000000 68
12 0.000000 0.000000 0.000000 70
13 0.000000 0.000000 0.000000 64
14 0.000000 0.000000 0.000000 69
15 0.000000 0.000000 0.000000 43
16 0.000000 0.000000 0.000000 36
17 0.017857 0.027778 0.021739 36
18 0.000000 0.000000 0.000000 36
19 0.967002 0.979797 0.973358 15493
20 0.869932 0.766369 0.814873 672
avg / total 0.936671 0.944979 0.940564 16630
Classification report for turbine 22, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 35
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.978303 0.983963 0.981125 15901
20 0.833713 0.835616 0.834664 438
avg / total 0.957376 0.962838 0.960099 16630
------------------------------------------------------------------------
Classification report for turbine 22, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 20
11 0.043478 0.008929 0.014815 112
12 0.000000 0.000000 0.000000 101
13 0.000000 0.000000 0.000000 119
14 0.000000 0.000000 0.000000 119
15 0.000000 0.000000 0.000000 106
16 0.000000 0.000000 0.000000 115
17 0.000000 0.000000 0.000000 118
18 0.000000 0.000000 0.000000 115
19 0.936069 0.980930 0.957974 14001
20 0.839566 0.909038 0.872922 1704
avg / total 0.874407 0.919062 0.896074 16630
Classification report for turbine 22, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 30
12 0.000000 0.000000 0.000000 29
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 30
16 0.000000 0.000000 0.000000 27
17 0.000000 0.000000 0.000000 24
18 0.000000 0.000000 0.000000 27
19 0.974583 0.980054 0.977311 15141
20 0.881536 0.857711 0.869460 1258
avg / total 0.954007 0.957186 0.955577 16630
Classification report for turbine 22, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 83
12 0.000000 0.000000 0.000000 86
13 0.000000 0.000000 0.000000 88
14 0.000000 0.000000 0.000000 87
15 0.000000 0.000000 0.000000 80
16 0.000000 0.000000 0.000000 83
17 0.000000 0.000000 0.000000 86
18 0.000000 0.000000 0.000000 90
19 0.937802 0.970039 0.953648 13818
20 0.924378 0.878072 0.900630 2116
avg / total 0.896845 0.917739 0.906990 16630
Classification report for turbine 22, turbine category 18.0
precision recall f1-score support
10 1.000000 0.052632 0.100000 19
11 0.000000 0.000000 0.000000 86
12 0.000000 0.000000 0.000000 89
13 0.000000 0.000000 0.000000 90
14 0.000000 0.000000 0.000000 89
15 0.000000 0.000000 0.000000 82
16 0.000000 0.000000 0.000000 97
17 0.000000 0.000000 0.000000 86
18 0.000000 0.000000 0.000000 98
19 0.952342 0.989479 0.970555 15207
20 0.878084 0.880640 0.879360 687
avg / total 0.908269 0.941251 0.923948 16630
Classification report for turbine 22, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995165 0.978935 0.986983 16188
20 0.845433 0.816742 0.830840 442
avg / total 0.991185 0.974624 0.982833 16630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 22, turbine category 19.0
precision recall f1-score support
19 0.990137 0.984445 0.987283 14786
20 0.880767 0.921367 0.900610 1844
avg / total 0.978009 0.977450 0.977672 16630
Classification report for turbine 22, turbine category 19.0
precision recall f1-score support
19 0.993543 0.991539 0.992540 15364
20 0.899769 0.921801 0.910652 1266
avg / total 0.986405 0.986230 0.986306 16630
Classification report for turbine 22, turbine category 19.0
precision recall f1-score support
19 0.989614 0.989683 0.989649 14442
20 0.931870 0.931444 0.931657 2188
avg / total 0.982017 0.982020 0.982019 16630
Classification report for turbine 22, turbine category 19.0
precision recall f1-score support
19 0.995795 0.996421 0.996108 15925
20 0.917986 0.904965 0.911429 705
avg / total 0.992497 0.992544 0.992518 16630
Classification report for turbine 22, turbine category 19.0
precision recall f1-score support
19 0.996658 0.994935 0.995796 16188
20 0.825532 0.877828 0.850877 442
avg / total 0.992110 0.991822 0.991944 16630
------------------------------------------------------------------------
Classification report for turbine 22, turbine category 20.0
precision recall f1-score support
19 0.991157 0.985459 0.988300 14786
20 0.888543 0.929501 0.908561 1844
avg / total 0.979779 0.979254 0.979458 16630
Classification report for turbine 22, turbine category 20.0
precision recall f1-score support
19 0.992188 0.991994 0.992091 15364
20 0.903073 0.905213 0.904142 1266
avg / total 0.985404 0.985388 0.985396 16630
Classification report for turbine 22, turbine category 20.0
precision recall f1-score support
19 0.990326 0.992383 0.991354 14442
20 0.949027 0.936015 0.942476 2188
avg / total 0.984892 0.984967 0.984923 16630
Classification report for turbine 22, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 28
12 0.000000 0.000000 0.000000 32
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 29
15 0.000000 0.000000 0.000000 27
16 0.000000 0.000000 0.000000 17
17 0.000000 0.000000 0.000000 17
18 0.000000 0.000000 0.000000 20
19 0.983306 0.996312 0.989766 15726
20 0.902299 0.903597 0.902948 695
avg / total 0.967563 0.979916 0.973699 16630
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 22, turbine category 20.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.995981 0.995182 0.995581 16188
20 0.847191 0.852941 0.850056 442
avg / total 0.992027 0.991401 0.991714 16630
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 2.0
precision recall f1-score support
19 0.980078 0.987554 0.983802 14945
20 0.829044 0.750416 0.787773 1202
avg / total 0.968835 0.969902 0.969210 16147
Classification report for turbine 23, turbine category 2.0
precision recall f1-score support
19 0.973896 0.986194 0.980007 11879
20 0.960175 0.926429 0.943000 4268
avg / total 0.970270 0.970397 0.970225 16147
Classification report for turbine 23, turbine category 2.0
precision recall f1-score support
19 0.974597 0.993141 0.983781 13559
20 0.960086 0.864374 0.909719 2588
avg / total 0.972271 0.972503 0.971911 16147
Classification report for turbine 23, turbine category 2.0
precision recall f1-score support
19 0.995723 0.995214 0.995468 15672
20 0.844720 0.858947 0.851775 475
avg / total 0.991281 0.991206 0.991241 16147
Classification report for turbine 23, turbine category 2.0
precision recall f1-score support
19 0.995195 0.994291 0.994743 15415
20 0.882038 0.898907 0.890392 732
avg / total 0.990065 0.989967 0.990012 16147
------------------------------------------------------------------------
Classification report for turbine 23, turbine category 3.0
precision recall f1-score support
19 0.984245 0.986484 0.985363 14945
20 0.827055 0.803661 0.815190 1202
avg / total 0.972543 0.972874 0.972695 16147
Classification report for turbine 23, turbine category 3.0
precision recall f1-score support
19 0.972937 0.986615 0.979728 11879
20 0.961229 0.923618 0.942048 4268
avg / total 0.969842 0.969963 0.969769 16147
Classification report for turbine 23, turbine category 3.0
precision recall f1-score support
19 0.974444 0.992699 0.983487 13559
20 0.957584 0.863601 0.908167 2588
avg / total 0.971742 0.972007 0.971415 16147
Classification report for turbine 23, turbine category 3.0
precision recall f1-score support
19 0.996229 0.994449 0.995338 15672
20 0.827038 0.875789 0.850716 475
avg / total 0.991251 0.990958 0.991083 16147
Classification report for turbine 23, turbine category 3.0
precision recall f1-score support
19 0.994546 0.993707 0.994127 15415
20 0.869799 0.885246 0.877454 732
avg / total 0.988891 0.988790 0.988837 16147
------------------------------------------------------------------------
Classification report for turbine 23, turbine category 4.0
precision recall f1-score support
19 0.981104 0.986685 0.983887 14945
20 0.821844 0.763727 0.791721 1202
avg / total 0.969249 0.970087 0.969582 16147
Classification report for turbine 23, turbine category 4.0
precision recall f1-score support
19 0.985003 0.989730 0.987361 11879
20 0.971028 0.958060 0.964501 4268
avg / total 0.981309 0.981359 0.981318 16147
Classification report for turbine 23, turbine category 4.0
precision recall f1-score support
19 0.979830 0.992404 0.986077 13559
20 0.957332 0.892968 0.924030 2588
avg / total 0.976224 0.976466 0.976132 16147
Classification report for turbine 23, turbine category 4.0
precision recall f1-score support
19 0.995282 0.995980 0.995631 15672
20 0.864224 0.844211 0.854100 475
avg / total 0.991426 0.991515 0.991467 16147
Classification report for turbine 23, turbine category 4.0
precision recall f1-score support
19 0.995061 0.993383 0.994222 15415
20 0.865435 0.896175 0.880537 732
avg / total 0.989185 0.988976 0.989068 16147
------------------------------------------------------------------------
Classification report for turbine 23, turbine category 5.0
precision recall f1-score support
19 0.984901 0.986417 0.985658 14945
20 0.827820 0.811980 0.819824 1202
avg / total 0.973208 0.973432 0.973313 16147
Classification report for turbine 23, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 80
11 0.000000 0.000000 0.000000 167
12 0.000000 0.000000 0.000000 154
13 0.000000 0.000000 0.000000 166
14 0.000000 0.000000 0.000000 114
15 0.000000 0.000000 0.000000 105
16 0.000000 0.000000 0.000000 116
17 0.000000 0.000000 0.000000 109
18 0.000000 0.000000 0.000000 106
19 0.870882 0.986914 0.925275 10928
20 0.926920 0.850317 0.886968 4102
avg / total 0.824873 0.883941 0.851535 16147
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 5.0
precision recall f1-score support
10 0.400000 0.008969 0.017544 223
11 0.000000 0.000000 0.000000 105
12 0.000000 0.000000 0.000000 104
13 0.000000 0.000000 0.000000 110
14 0.000000 0.000000 0.000000 104
15 0.000000 0.000000 0.000000 101
16 0.000000 0.000000 0.000000 105
17 0.000000 0.000000 0.000000 75
18 0.000000 0.000000 0.000000 70
19 0.914126 0.987640 0.949462 12783
20 0.864615 0.831010 0.847480 2367
avg / total 0.855950 0.903821 0.876130 16147
Classification report for turbine 23, turbine category 5.0
precision recall f1-score support
10 0.030769 0.017857 0.022599 112
11 0.000000 0.000000 0.000000 68
12 0.000000 0.000000 0.000000 61
13 0.000000 0.000000 0.000000 65
14 0.000000 0.000000 0.000000 67
15 0.080000 0.029851 0.043478 67
16 0.015152 0.015152 0.015152 66
17 0.000000 0.000000 0.000000 64
18 0.000000 0.000000 0.000000 63
19 0.960553 0.979491 0.969929 15115
20 0.648585 0.689223 0.668287 399
avg / total 0.915795 0.934229 0.924851 16147
Classification report for turbine 23, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992656 0.982095 0.987348 15415
20 0.867816 0.825137 0.845938 732
avg / total 0.986997 0.974980 0.980937 16147
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 6.0
precision recall f1-score support
19 0.982626 0.983941 0.983283 14945
20 0.796954 0.783694 0.790268 1202
avg / total 0.968805 0.969034 0.968915 16147
Classification report for turbine 23, turbine category 6.0
precision recall f1-score support
19 0.973112 0.984090 0.978570 11879
20 0.954282 0.924321 0.939062 4268
avg / total 0.968135 0.968291 0.968127 16147
Classification report for turbine 23, turbine category 6.0
precision recall f1-score support
19 0.975785 0.992625 0.984133 13559
20 0.957519 0.870943 0.912181 2588
avg / total 0.972857 0.973122 0.972601 16147
Classification report for turbine 23, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 79
11 0.000000 0.000000 0.000000 46
12 0.000000 0.000000 0.000000 29
13 0.000000 0.000000 0.000000 34
14 0.000000 0.000000 0.000000 25
15 0.000000 0.000000 0.000000 22
16 0.000000 0.000000 0.000000 24
17 0.000000 0.000000 0.000000 24
18 0.000000 0.000000 0.000000 24
19 0.985055 0.994711 0.989859 15505
20 0.546939 0.800000 0.649697 335
avg / total 0.957236 0.971759 0.963982 16147
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.994739 0.993578 0.994158 15415
20 0.880759 0.887978 0.884354 732
avg / total 0.989572 0.988790 0.989180 16147
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981454 0.977317 0.979381 14945
20 0.784179 0.758735 0.771247 1202
avg / total 0.966769 0.961045 0.963887 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.968920 0.986783 0.977770 11879
20 0.966477 0.837629 0.897452 4268
avg / total 0.968275 0.947359 0.956540 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 7.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.978166 0.991224 0.984651 13559
20 0.957322 0.884080 0.919245 2588
avg / total 0.974825 0.974051 0.974168 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 7.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995531 0.994959 0.995245 15672
20 0.845511 0.852632 0.849057 475
avg / total 0.991118 0.990772 0.990944 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 7.0
precision recall f1-score support
14 0.000000 0.000000 0.000000 0
19 0.993840 0.994356 0.994098 15415
20 0.881051 0.870219 0.875601 732
avg / total 0.988727 0.988729 0.988726 16147
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 8.0
precision recall f1-score support
19 0.983988 0.986885 0.985435 14945
20 0.830743 0.800333 0.815254 1202
avg / total 0.972580 0.972998 0.972766 16147
Classification report for turbine 23, turbine category 8.0
precision recall f1-score support
19 0.975380 0.983837 0.979590 11879
20 0.953902 0.930881 0.942251 4268
avg / total 0.969703 0.969840 0.969721 16147
Classification report for turbine 23, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.000000 0.000000 0.000000 59
12 0.000000 0.000000 0.000000 45
13 0.000000 0.000000 0.000000 50
14 0.000000 0.000000 0.000000 55
15 0.000000 0.000000 0.000000 47
16 0.000000 0.000000 0.000000 56
17 0.000000 0.000000 0.000000 47
18 0.000000 0.000000 0.000000 55
19 0.943869 0.991328 0.967017 13146
20 0.943162 0.859424 0.899348 2568
avg / total 0.918446 0.943767 0.930323 16147
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 8.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.994325 0.995023 0.994674 15672
20 0.837310 0.812632 0.824786 475
avg / total 0.989706 0.989658 0.989676 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 11
11 0.000000 0.000000 0.000000 107
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 107
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.938379 0.994370 0.965563 14564
20 0.868458 0.864789 0.866620 710
avg / total 0.884570 0.934911 0.909009 16147
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 9.0
precision recall f1-score support
19 0.982978 0.985346 0.984161 14945
20 0.812178 0.787854 0.799831 1202
avg / total 0.970264 0.970645 0.970439 16147
Classification report for turbine 23, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 104
11 0.000000 0.000000 0.000000 23
12 0.000000 0.000000 0.000000 24
13 0.000000 0.000000 0.000000 21
14 0.000000 0.000000 0.000000 19
15 0.000000 0.000000 0.000000 24
16 0.000000 0.000000 0.000000 26
17 0.000000 0.000000 0.000000 24
18 0.000000 0.000000 0.000000 27
19 0.967031 0.982987 0.974944 11697
20 0.927883 0.949976 0.938800 4158
avg / total 0.939463 0.956710 0.948006 16147
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.957755 0.991519 0.974344 13559
20 0.955479 0.754637 0.843264 2588
avg / total 0.957390 0.953552 0.953335 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 9.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.995718 0.994193 0.994955 15672
20 0.832653 0.858947 0.845596 475
avg / total 0.990921 0.990215 0.990562 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 9.0
precision recall f1-score support
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993965 0.993707 0.993836 15415
20 0.880165 0.872951 0.876543 732
avg / total 0.988806 0.988233 0.988519 16147
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 10.0
precision recall f1-score support
10 0.827957 0.429368 0.565483 538
11 0.008969 0.008333 0.008639 240
12 0.039604 0.025000 0.030651 160
13 0.015228 0.022388 0.018127 134
14 0.033333 0.034483 0.033898 116
15 0.000000 0.000000 0.000000 91
16 0.009091 0.012346 0.010471 81
17 0.000000 0.000000 0.000000 58
18 0.000000 0.000000 0.000000 52
19 0.924767 0.931790 0.928266 13957
20 0.547739 0.605556 0.575198 720
avg / total 0.852290 0.847588 0.847734 16147
Classification report for turbine 23, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 30
12 0.014286 0.029412 0.019231 34
13 0.024390 0.029412 0.026667 34
14 0.000000 0.000000 0.000000 32
15 0.000000 0.000000 0.000000 22
16 0.000000 0.000000 0.000000 26
17 0.000000 0.000000 0.000000 25
18 0.000000 0.000000 0.000000 25
19 0.959631 0.963090 0.961357 11650
20 0.955047 0.792214 0.866043 4264
avg / total 0.944654 0.904193 0.922412 16147
Classification report for turbine 23, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 24
12 0.000000 0.000000 0.000000 22
13 0.000000 0.000000 0.000000 26
14 0.000000 0.000000 0.000000 30
15 0.000000 0.000000 0.000000 26
16 0.000000 0.000000 0.000000 30
17 0.000000 0.000000 0.000000 27
18 0.000000 0.000000 0.000000 21
19 0.966700 0.947806 0.957160 13354
20 0.936567 0.680217 0.788069 2583
avg / total 0.949307 0.892674 0.917662 16147
Classification report for turbine 23, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 33
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 34
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.979107 0.983050 0.981075 15398
20 0.786885 0.727273 0.755906 462
avg / total 0.956205 0.958259 0.957194 16147
Classification report for turbine 23, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993418 0.979046 0.986180 15415
20 0.880775 0.807377 0.842480 732
avg / total 0.988311 0.971264 0.979665 16147
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 171
11 0.000000 0.000000 0.000000 32
12 0.000000 0.000000 0.000000 25
13 0.000000 0.000000 0.000000 25
14 0.000000 0.000000 0.000000 22
15 0.000000 0.000000 0.000000 28
16 0.000000 0.000000 0.000000 31
17 0.000000 0.000000 0.000000 25
18 0.000000 0.000000 0.000000 26
19 0.967526 0.971074 0.969296 14727
20 0.585025 0.445411 0.505760 1035
avg / total 0.919939 0.914226 0.916473 16147
Classification report for turbine 23, turbine category 11.0
precision recall f1-score support
10 0.906278 0.309949 0.461920 3307
11 0.000000 0.000000 0.000000 25
12 0.000000 0.000000 0.000000 20
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 25
15 0.003663 0.041667 0.006734 24
16 0.000000 0.000000 0.000000 22
17 0.000000 0.000000 0.000000 27
18 0.000000 0.000000 0.000000 27
19 0.942089 0.932206 0.937121 11535
20 0.297523 0.804525 0.434400 1105
avg / total 0.878981 0.784542 0.793797 16147
Classification report for turbine 23, turbine category 11.0
precision recall f1-score support
10 0.001497 0.022727 0.002809 44
11 0.000000 0.000000 0.000000 25
12 0.000000 0.000000 0.000000 22
13 0.000000 0.000000 0.000000 23
14 0.000000 0.000000 0.000000 22
15 0.000000 0.000000 0.000000 31
16 0.000000 0.000000 0.000000 17
17 0.000000 0.000000 0.000000 21
18 0.000000 0.000000 0.000000 23
19 0.937825 0.970991 0.954120 13375
20 0.899035 0.476022 0.622462 2544
avg / total 0.918475 0.879358 0.888401 16147
Classification report for turbine 23, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993770 0.987366 0.990558 15672
20 0.794416 0.658947 0.720368 475
avg / total 0.987906 0.977705 0.982610 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 11.0
precision recall f1-score support
10 0.162963 0.100457 0.124294 219
11 0.000000 0.000000 0.000000 287
12 0.000000 0.000000 0.000000 287
13 0.000000 0.000000 0.000000 286
14 0.000000 0.000000 0.000000 287
15 0.000000 0.000000 0.000000 286
16 0.000000 0.000000 0.000000 287
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 287
19 0.847333 0.985220 0.911089 13126
20 0.510870 0.556213 0.532578 507
avg / total 0.707054 0.819719 0.759038 16147
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 16.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.980651 0.980060 0.980355 14945
20 0.775701 0.759567 0.767549 1202
avg / total 0.965394 0.963646 0.964514 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 16.0
precision recall f1-score support
10 0.093750 0.048387 0.063830 62
11 0.000000 0.000000 0.000000 102
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 91
14 0.000000 0.000000 0.000000 99
15 0.000000 0.000000 0.000000 99
16 0.000000 0.000000 0.000000 101
17 0.000000 0.000000 0.000000 113
18 0.000000 0.000000 0.000000 111
19 0.913472 0.987986 0.949269 11070
20 0.952139 0.939871 0.945965 4191
avg / total 0.873745 0.921471 0.896569 16147
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.972355 0.988347 0.980286 13559
20 0.957069 0.852782 0.901921 2588
avg / total 0.969905 0.966619 0.967726 16147
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.200000 0.027778 0.048780 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 34
18 0.000000 0.000000 0.000000 36
19 0.976248 0.993696 0.984895 15387
20 0.842572 0.808511 0.825190 470
avg / total 0.955270 0.970521 0.962666 16147
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992212 0.991826 0.992019 15415
20 0.876791 0.836066 0.855944 732
avg / total 0.986980 0.984765 0.985850 16147
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 23, turbine category 18.0
precision recall f1-score support
10 0.121212 0.190476 0.148148 21
11 0.029126 0.050420 0.036923 119
12 0.040984 0.045045 0.042918 111
13 0.022727 0.017391 0.019704 115
14 0.000000 0.000000 0.000000 113
15 0.000000 0.000000 0.000000 118
16 0.000000 0.000000 0.000000 106
17 0.000000 0.000000 0.000000 110
18 0.000000 0.000000 0.000000 119
19 0.933263 0.939214 0.936229 14115
20 0.720751 0.767273 0.743285 1100
avg / total 0.865734 0.874342 0.869946 16147
Classification report for turbine 23, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.000000 0.000000 0.000000 29
12 0.000000 0.000000 0.000000 31
13 0.000000 0.000000 0.000000 23
14 0.000000 0.000000 0.000000 25
15 0.000000 0.000000 0.000000 19
16 0.000000 0.000000 0.000000 26
17 0.000000 0.000000 0.000000 26
18 0.000000 0.000000 0.000000 25
19 0.967441 0.969928 0.968683 11672
20 0.955090 0.897749 0.925532 4264
avg / total 0.951538 0.938193 0.944630 16147
Classification report for turbine 23, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.047619 0.011236 0.018182 89
12 0.019231 0.025974 0.022099 77
13 0.000000 0.000000 0.000000 84
14 0.000000 0.000000 0.000000 80
15 0.000000 0.000000 0.000000 73
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 78
18 0.000000 0.000000 0.000000 81
19 0.942183 0.953323 0.947720 12940
20 0.932438 0.895972 0.913841 2557
avg / total 0.903066 0.906051 0.904410 16147
Classification report for turbine 23, turbine category 18.0
precision recall f1-score support
10 0.500000 0.055556 0.100000 18
11 0.000000 0.000000 0.000000 102
12 0.000000 0.000000 0.000000 95
13 0.000000 0.000000 0.000000 98
14 0.000000 0.000000 0.000000 93
15 0.000000 0.000000 0.000000 97
16 0.000000 0.000000 0.000000 101
17 0.000000 0.000000 0.000000 104
18 0.000000 0.000000 0.000000 102
19 0.945097 0.983418 0.963877 14896
20 0.784580 0.784580 0.784580 441
avg / total 0.893860 0.928717 0.910739 16147
Classification report for turbine 23, turbine category 18.0
precision recall f1-score support
10 0.500000 0.071429 0.125000 14
11 0.000000 0.000000 0.000000 71
12 0.076923 0.014085 0.023810 71
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 71
16 0.000000 0.000000 0.000000 71
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.955961 0.976991 0.966362 14864
20 0.875923 0.850789 0.863173 697
avg / total 0.918584 0.936211 0.927050 16147
------------------------------------------------------------------------
Classification report for turbine 23, turbine category 19.0
precision recall f1-score support
19 0.983378 0.985681 0.984528 14945
20 0.816624 0.792845 0.804559 1202
avg / total 0.970964 0.971326 0.971131 16147
Classification report for turbine 23, turbine category 19.0
precision recall f1-score support
19 0.966289 0.984510 0.975315 11879
20 0.954500 0.904405 0.928778 4268
avg / total 0.963173 0.963337 0.963014 16147
Classification report for turbine 23, turbine category 19.0
precision recall f1-score support
19 0.973528 0.992699 0.983020 13559
20 0.957346 0.858578 0.905276 2588
avg / total 0.970934 0.971202 0.970559 16147
Classification report for turbine 23, turbine category 19.0
precision recall f1-score support
19 0.995532 0.995151 0.995341 15672
20 0.841996 0.852632 0.847280 475
avg / total 0.991015 0.990958 0.990986 16147
Classification report for turbine 23, turbine category 19.0
precision recall f1-score support
19 0.994938 0.994486 0.994712 15415
20 0.884980 0.893443 0.889191 732
avg / total 0.989953 0.989905 0.989928 16147
------------------------------------------------------------------------
Classification report for turbine 23, turbine category 20.0
precision recall f1-score support
19 0.982202 0.985948 0.984072 14945
20 0.816594 0.777870 0.796762 1202
avg / total 0.969874 0.970459 0.970128 16147
Classification report for turbine 23, turbine category 20.0
precision recall f1-score support
19 0.975482 0.984679 0.980059 11879
20 0.956208 0.931115 0.943495 4268
avg / total 0.970387 0.970521 0.970394 16147
Classification report for turbine 23, turbine category 20.0
precision recall f1-score support
19 0.970658 0.992994 0.981699 13559
20 0.958260 0.842736 0.896793 2588
avg / total 0.968671 0.968911 0.968090 16147
Classification report for turbine 23, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 10
11 0.000000 0.000000 0.000000 29
12 0.000000 0.000000 0.000000 21
13 0.000000 0.000000 0.000000 26
14 0.000000 0.000000 0.000000 24
15 0.000000 0.000000 0.000000 27
16 0.000000 0.000000 0.000000 30
17 0.000000 0.000000 0.000000 33
18 0.000000 0.000000 0.000000 28
19 0.981554 0.994953 0.988208 15456
20 0.812500 0.842333 0.827147 463
avg / total 0.962846 0.976528 0.969636 16147
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 23, turbine category 20.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993965 0.993707 0.993836 15415
20 0.883817 0.872951 0.878351 732
avg / total 0.988972 0.988233 0.988601 16147
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 2.0
precision recall f1-score support
19 0.955148 0.993721 0.974053 16244
20 0.837061 0.408736 0.549266 1282
avg / total 0.946510 0.950930 0.942980 17526
Classification report for turbine 24, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 28
12 0.000000 0.000000 0.000000 33
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 30
15 0.000000 0.000000 0.000000 32
16 0.000000 0.000000 0.000000 32
17 0.000000 0.000000 0.000000 34
18 0.000000 0.000000 0.000000 34
19 0.888948 0.989767 0.936653 11727
20 0.940031 0.760500 0.840789 5524
avg / total 0.891101 0.901974 0.891740 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.880548 0.954539 0.916052 7545
20 0.995797 0.902114 0.946644 9981
avg / total 0.946182 0.924683 0.933474 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.993978 0.987385 0.990671 16885
20 0.908784 0.839314 0.872668 641
avg / total 0.990862 0.981970 0.986355 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 2.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
19 0.994998 0.993605 0.994301 16418
20 0.967925 0.925993 0.946494 1108
avg / total 0.993287 0.989330 0.991279 17526
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 3.0
precision recall f1-score support
19 0.957736 0.996060 0.976522 16244
20 0.898734 0.443058 0.593521 1282
avg / total 0.953421 0.955609 0.948506 17526
Classification report for turbine 24, turbine category 3.0
precision recall f1-score support
19 0.915212 0.995948 0.953875 11846
20 0.989644 0.807570 0.889384 5680
avg / total 0.939335 0.934897 0.932974 17526
Classification report for turbine 24, turbine category 3.0
precision recall f1-score support
19 0.915829 0.990722 0.951805 7545
20 0.992525 0.931169 0.960868 9981
avg / total 0.959507 0.956807 0.956967 17526
Classification report for turbine 24, turbine category 3.0
precision recall f1-score support
19 0.995271 0.997216 0.996243 16885
20 0.922697 0.875195 0.898319 641
avg / total 0.992617 0.992754 0.992661 17526
Classification report for turbine 24, turbine category 3.0
precision recall f1-score support
19 0.995440 0.997198 0.996318 16418
20 0.957368 0.932310 0.944673 1108
avg / total 0.993033 0.993096 0.993053 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 4.0
precision recall f1-score support
19 0.958010 0.994398 0.975865 16244
20 0.863158 0.447738 0.589625 1282
avg / total 0.951071 0.954411 0.947612 17526
Classification report for turbine 24, turbine category 4.0
precision recall f1-score support
19 0.903932 0.993669 0.946678 11846
20 0.983348 0.779754 0.869796 5680
avg / total 0.929670 0.924341 0.921762 17526
Classification report for turbine 24, turbine category 4.0
precision recall f1-score support
19 0.910954 0.989795 0.948739 7545
20 0.991745 0.926861 0.958206 9981
avg / total 0.956964 0.953954 0.954130 17526
Classification report for turbine 24, turbine category 4.0
precision recall f1-score support
19 0.995268 0.996565 0.995916 16885
20 0.906300 0.875195 0.890476 641
avg / total 0.992014 0.992126 0.992060 17526
Classification report for turbine 24, turbine category 4.0
precision recall f1-score support
19 0.994596 0.997685 0.996138 16418
20 0.964049 0.919675 0.941339 1108
avg / total 0.992665 0.992754 0.992674 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 166
11 0.000000 0.000000 0.000000 168
12 0.000000 0.000000 0.000000 151
13 0.000000 0.000000 0.000000 145
14 0.000000 0.000000 0.000000 157
15 0.000000 0.000000 0.000000 153
16 0.000000 0.000000 0.000000 148
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 147
19 0.883695 0.993193 0.935250 15132
20 0.665948 0.304433 0.417850 1015
avg / total 0.801553 0.875157 0.831697 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 5.0
precision recall f1-score support
10 0.648936 0.013178 0.025831 4629
11 0.000000 0.000000 0.000000 194
12 0.000000 0.000000 0.000000 188
13 0.000000 0.000000 0.000000 174
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 181
16 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 171
18 0.000000 0.000000 0.000000 188
19 0.731465 0.986713 0.840130 9709
20 0.353601 0.872979 0.503329 1732
avg / total 0.611558 0.636369 0.521976 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 5.0
precision recall f1-score support
10 0.995041 0.628111 0.770102 13098
11 0.000000 0.000000 0.000000 52
12 0.000000 0.000000 0.000000 57
13 0.000000 0.000000 0.000000 54
14 0.000000 0.000000 0.000000 30
15 0.000000 0.000000 0.000000 30
16 0.000000 0.000000 0.000000 28
17 0.000000 0.000000 0.000000 34
18 0.000000 0.000000 0.000000 27
19 0.693206 0.992401 0.816250 3948
20 0.031830 0.642857 0.060657 168
avg / total 0.900101 0.699133 0.759988 17526
Classification report for turbine 24, turbine category 5.0
precision recall f1-score support
10 0.014925 0.068966 0.024540 87
11 0.000000 0.000000 0.000000 179
12 0.000000 0.000000 0.000000 135
13 0.000000 0.000000 0.000000 142
14 0.083333 0.007194 0.013245 139
15 0.000000 0.000000 0.000000 138
16 0.000000 0.000000 0.000000 143
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 132
19 0.930653 0.974831 0.952230 15694
20 0.782152 0.502530 0.611910 593
avg / total 0.860571 0.890334 0.873624 17526
Classification report for turbine 24, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993835 0.981910 0.987837 16418
20 0.942434 0.517148 0.667832 1108
avg / total 0.990586 0.952528 0.967606 17526
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.956250 0.990335 0.972994 16244
20 0.891304 0.415757 0.567021 1282
avg / total 0.951500 0.948305 0.943298 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 26
11 0.000000 0.000000 0.000000 59
12 0.000000 0.000000 0.000000 62
13 0.000000 0.000000 0.000000 54
14 0.000000 0.000000 0.000000 61
15 0.000000 0.000000 0.000000 57
16 0.000000 0.000000 0.000000 61
17 0.000000 0.000000 0.000000 61
18 0.000000 0.000000 0.000000 50
19 0.854883 0.988619 0.916900 11423
20 0.955770 0.669993 0.787765 5612
avg / total 0.863238 0.858895 0.849862 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 6.0
precision recall f1-score support
13 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
19 0.907552 0.952419 0.929444 7545
20 0.994837 0.926661 0.959539 9981
avg / total 0.957261 0.937750 0.946583 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 65
11 0.000000 0.000000 0.000000 23
12 0.000000 0.000000 0.000000 31
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 29
15 0.000000 0.000000 0.000000 33
16 0.000000 0.000000 0.000000 30
17 0.000000 0.000000 0.000000 31
18 0.000000 0.000000 0.000000 26
19 0.977978 0.984441 0.981199 16646
20 0.822669 0.773196 0.797166 582
avg / total 0.956192 0.960687 0.958404 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 13
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 71
14 0.000000 0.000000 0.000000 68
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.958998 0.991684 0.975067 15873
20 0.933466 0.879326 0.905588 1069
avg / total 0.925485 0.951786 0.938338 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 7.0
precision recall f1-score support
19 0.957088 0.995444 0.975889 16244
20 0.882726 0.434477 0.582331 1282
avg / total 0.951648 0.954411 0.947101 17526
Classification report for turbine 24, turbine category 7.0
precision recall f1-score support
19 0.932591 0.990376 0.960616 11846
20 0.976951 0.850704 0.909467 5680
avg / total 0.946968 0.945110 0.944039 17526
Classification report for turbine 24, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 95
11 0.000000 0.000000 0.000000 151
12 0.000000 0.000000 0.000000 145
13 0.000000 0.000000 0.000000 140
14 0.000000 0.000000 0.000000 137
15 0.000000 0.000000 0.000000 127
16 0.000000 0.000000 0.000000 114
17 0.000000 0.000000 0.000000 110
18 0.000000 0.000000 0.000000 124
19 0.781629 0.991088 0.873984 6508
20 0.982855 0.923038 0.952008 9875
avg / total 0.844034 0.888109 0.860947 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 10
11 0.000000 0.000000 0.000000 32
12 0.000000 0.000000 0.000000 26
13 0.000000 0.000000 0.000000 27
14 0.000000 0.000000 0.000000 32
15 0.000000 0.000000 0.000000 30
16 0.000000 0.000000 0.000000 35
17 0.000000 0.000000 0.000000 32
18 0.000000 0.000000 0.000000 30
19 0.980684 0.992981 0.986794 16668
20 0.851211 0.814570 0.832487 604
avg / total 0.962009 0.972441 0.967175 17526
Classification report for turbine 24, turbine category 7.0
precision recall f1-score support
10 0.074074 0.200000 0.108108 10
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 35
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 35
18 0.000000 0.000000 0.000000 30
19 0.977583 0.995484 0.986453 16165
20 0.931343 0.873950 0.901734 1071
avg / total 0.958624 0.971699 0.965014 17526
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 8.0
precision recall f1-score support
10 0.055556 0.003268 0.006173 306
11 0.000000 0.000000 0.000000 52
12 0.073684 0.118644 0.090909 59
13 0.000000 0.000000 0.000000 62
14 0.000000 0.000000 0.000000 66
15 0.000000 0.000000 0.000000 49
16 0.000000 0.000000 0.000000 31
17 0.000000 0.000000 0.000000 31
18 0.000000 0.000000 0.000000 32
19 0.919791 0.985466 0.951497 15756
20 0.862745 0.325323 0.472483 1082
avg / total 0.881380 0.906482 0.884986 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 8.0
precision recall f1-score support
10 0.129870 0.012626 0.023015 792
11 0.034483 0.010526 0.016129 95
12 0.000000 0.000000 0.000000 89
13 0.000000 0.000000 0.000000 95
14 0.000000 0.000000 0.000000 96
15 0.000000 0.000000 0.000000 92
16 0.000000 0.000000 0.000000 97
17 0.000000 0.000000 0.000000 99
18 0.000000 0.000000 0.000000 94
19 0.880346 0.984150 0.929359 11483
20 0.752784 0.752114 0.752449 4494
avg / total 0.775885 0.838297 0.802984 17526
Classification report for turbine 24, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.760999 0.949105 0.844707 7545
20 0.990959 0.636910 0.775433 9981
avg / total 0.891960 0.771311 0.805256 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 37
11 0.000000 0.000000 0.000000 98
12 0.000000 0.000000 0.000000 98
13 0.066667 0.010870 0.018692 92
14 0.000000 0.000000 0.000000 100
15 0.000000 0.000000 0.000000 92
16 0.142857 0.010204 0.019048 98
17 0.000000 0.000000 0.000000 95
18 0.000000 0.000000 0.000000 95
19 0.948739 0.983343 0.965731 16149
20 0.799263 0.758741 0.778475 572
avg / total 0.901432 0.930960 0.915467 17526
Classification report for turbine 24, turbine category 8.0
precision recall f1-score support
10 0.096774 0.005825 0.010989 515
11 0.000000 0.000000 0.000000 561
12 0.000000 0.000000 0.000000 534
13 0.025000 0.001866 0.003472 536
14 0.000000 0.000000 0.000000 496
15 0.000000 0.000000 0.000000 498
16 0.000000 0.000000 0.000000 501
17 0.480000 0.023857 0.045455 503
18 0.000000 0.000000 0.000000 502
19 0.745536 0.985848 0.849015 12366
20 0.446970 0.803502 0.574409 514
avg / total 0.556528 0.720073 0.617628 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 9.0
precision recall f1-score support
19 0.953921 0.995321 0.974181 16244
20 0.868284 0.390796 0.538999 1282
avg / total 0.947656 0.951101 0.942348 17526
Classification report for turbine 24, turbine category 9.0
precision recall f1-score support
19 0.940983 0.990630 0.965168 11846
20 0.978042 0.870423 0.921099 5680
avg / total 0.952993 0.951672 0.950886 17526
Classification report for turbine 24, turbine category 9.0
precision recall f1-score support
19 0.907156 0.982903 0.943511 7545
20 0.986205 0.923956 0.954066 9981
avg / total 0.952174 0.949332 0.949522 17526
Classification report for turbine 24, turbine category 9.0
precision recall f1-score support
19 0.995032 0.996447 0.995739 16885
20 0.902755 0.868955 0.885533 641
avg / total 0.991657 0.991784 0.991708 17526
Classification report for turbine 24, turbine category 9.0
precision recall f1-score support
19 0.995865 0.997503 0.996683 16418
20 0.962072 0.938628 0.950206 1108
avg / total 0.993729 0.993781 0.993745 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 10.0
precision recall f1-score support
10 0.196000 0.403292 0.263795 243
11 0.000000 0.000000 0.000000 149
12 0.000000 0.000000 0.000000 146
13 0.019231 0.013514 0.015873 148
14 0.015385 0.006623 0.009259 151
15 0.000000 0.000000 0.000000 155
16 0.017699 0.012903 0.014925 155
17 0.000000 0.000000 0.000000 158
18 0.000000 0.000000 0.000000 143
19 0.882760 0.948194 0.914308 14921
20 0.806005 0.301642 0.438994 1157
avg / total 0.807929 0.833048 0.811393 17526
Classification report for turbine 24, turbine category 10.0
precision recall f1-score support
10 0.001630 0.120000 0.003217 25
11 0.000000 0.000000 0.000000 97
12 0.000000 0.000000 0.000000 97
13 0.000000 0.000000 0.000000 96
14 0.000000 0.000000 0.000000 95
15 0.000000 0.000000 0.000000 97
16 0.000000 0.000000 0.000000 92
17 0.000000 0.000000 0.000000 96
18 0.000000 0.000000 0.000000 82
19 0.843784 0.946296 0.892105 11433
20 0.874281 0.400301 0.549161 5316
avg / total 0.815628 0.738902 0.748537 17526
Classification report for turbine 24, turbine category 10.0
precision recall f1-score support
10 0.029126 0.088235 0.043796 136
11 0.000000 0.000000 0.000000 78
12 0.333333 0.040000 0.071429 100
13 0.000000 0.000000 0.000000 95
14 0.037037 0.011905 0.018018 84
15 0.222222 0.023529 0.042553 85
16 0.000000 0.000000 0.000000 95
17 0.000000 0.000000 0.000000 95
18 0.000000 0.000000 0.000000 66
19 0.750830 0.924172 0.828532 7095
20 0.953194 0.814838 0.878602 9597
avg / total 0.829296 0.821408 0.817563 17526
Classification report for turbine 24, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 26
11 0.000000 0.000000 0.000000 31
12 0.000000 0.000000 0.000000 29
13 0.000000 0.000000 0.000000 28
14 0.000000 0.000000 0.000000 28
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 27
17 0.000000 0.000000 0.000000 33
18 0.043478 0.055556 0.048780 36
19 0.976453 0.962943 0.969651 16623
20 0.909627 0.734921 0.812994 630
avg / total 0.958930 0.939861 0.949016 17526
Classification report for turbine 24, turbine category 10.0
precision recall f1-score support
10 0.028846 0.096774 0.044444 31
11 0.000000 0.000000 0.000000 74
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 70
18 0.000000 0.000000 0.000000 72
19 0.968914 0.980634 0.974739 15956
20 0.830693 0.871236 0.850482 963
avg / total 0.927813 0.940831 0.934231 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 11.0
precision recall f1-score support
10 0.200000 0.002681 0.005291 746
11 0.000000 0.000000 0.000000 333
12 0.000000 0.000000 0.000000 189
13 0.000000 0.000000 0.000000 181
14 0.000000 0.000000 0.000000 180
15 0.000000 0.000000 0.000000 174
16 0.011905 0.005464 0.007491 183
17 0.000000 0.000000 0.000000 174
18 0.000000 0.000000 0.000000 169
19 0.855414 0.972220 0.910085 14471
20 0.555369 0.455923 0.500756 726
avg / total 0.737948 0.821808 0.772492 17526
Classification report for turbine 24, turbine category 11.0
precision recall f1-score support
10 0.034656 0.245562 0.060739 338
11 0.000000 0.000000 0.000000 64
12 0.297872 0.466667 0.363636 60
13 0.000000 0.000000 0.000000 63
14 0.000000 0.000000 0.000000 59
15 0.000000 0.000000 0.000000 64
16 0.000000 0.000000 0.000000 58
17 0.000000 0.000000 0.000000 61
18 0.000000 0.000000 0.000000 58
19 0.889785 0.955309 0.921383 11434
20 0.885592 0.430606 0.579458 5267
avg / total 0.848328 0.758987 0.777670 17526
Classification report for turbine 24, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.890316 0.918754 0.904312 7545
20 0.990408 0.744815 0.850232 9981
avg / total 0.947318 0.819696 0.873513 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993172 0.973408 0.983191 16885
20 0.909091 0.702028 0.792254 641
avg / total 0.990097 0.963483 0.976207 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 11.0
precision recall f1-score support
10 0.015873 0.007874 0.010526 127
11 0.358025 0.268519 0.306878 108
12 0.000000 0.000000 0.000000 107
13 0.000000 0.000000 0.000000 106
14 0.000000 0.000000 0.000000 104
15 0.000000 0.000000 0.000000 105
16 0.058824 0.009434 0.016260 106
17 0.000000 0.000000 0.000000 107
18 0.166667 0.009259 0.017544 108
19 0.945718 0.990925 0.967794 15648
20 0.784165 0.803333 0.793633 900
avg / total 0.888353 0.927822 0.907019 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 16.0
precision recall f1-score support
10 0.092593 0.037879 0.053763 132
11 0.000000 0.000000 0.000000 185
12 0.000000 0.000000 0.000000 173
13 0.026316 0.006369 0.010256 157
14 0.000000 0.000000 0.000000 149
15 0.000000 0.000000 0.000000 140
16 0.000000 0.000000 0.000000 147
17 0.000000 0.000000 0.000000 143
18 0.000000 0.000000 0.000000 141
19 0.875850 0.963921 0.917777 14967
20 0.765996 0.351510 0.481886 1192
avg / total 0.800997 0.847427 0.817043 17526
Classification report for turbine 24, turbine category 16.0
precision recall f1-score support
10 0.007353 0.021739 0.010989 92
11 0.000000 0.000000 0.000000 90
12 0.000000 0.000000 0.000000 83
13 0.023810 0.011628 0.015625 86
14 0.000000 0.000000 0.000000 87
15 0.000000 0.000000 0.000000 100
16 0.000000 0.000000 0.000000 84
17 0.000000 0.000000 0.000000 95
18 0.000000 0.000000 0.000000 96
19 0.822214 0.977644 0.893217 11093
20 0.958461 0.669217 0.788139 5620
avg / total 0.827918 0.833562 0.818222 17526
Classification report for turbine 24, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.906609 0.941816 0.923877 7545
20 0.994833 0.925859 0.959107 9981
avg / total 0.956852 0.932729 0.943941 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 16.0
precision recall f1-score support
10 0.100000 0.010204 0.018519 98
11 0.024390 0.009346 0.013514 107
12 0.000000 0.000000 0.000000 82
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 71
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 71
19 0.955160 0.976886 0.965901 16267
20 0.760000 0.771218 0.765568 542
avg / total 0.910757 0.930674 0.920376 17526
Classification report for turbine 24, turbine category 16.0
precision recall f1-score support
10 0.090909 0.006369 0.011905 157
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 107
13 0.000000 0.000000 0.000000 107
14 0.000000 0.000000 0.000000 107
15 0.000000 0.000000 0.000000 108
16 0.100000 0.010309 0.018692 97
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 107
19 0.937718 0.986738 0.961604 15533
20 0.862845 0.854103 0.858452 987
avg / total 0.881044 0.922743 0.900808 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 18.0
precision recall f1-score support
10 0.200000 0.083333 0.117647 36
11 0.015873 0.009174 0.011628 218
12 0.000000 0.000000 0.000000 202
13 0.214286 0.098592 0.135048 213
14 0.000000 0.000000 0.000000 218
15 0.000000 0.000000 0.000000 217
16 0.000000 0.000000 0.000000 220
17 0.000000 0.000000 0.000000 195
18 0.000000 0.000000 0.000000 186
19 0.866226 0.962762 0.911946 14716
20 0.743219 0.371946 0.495778 1105
avg / total 0.777413 0.833333 0.799017 17526
Classification report for turbine 24, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 10
11 0.000000 0.000000 0.000000 60
12 0.000000 0.000000 0.000000 57
13 0.041667 0.016393 0.023529 61
14 0.038462 0.015625 0.022222 64
15 0.000000 0.000000 0.000000 67
16 0.000000 0.000000 0.000000 67
17 0.000000 0.000000 0.000000 67
18 0.000000 0.000000 0.000000 63
19 0.887177 0.976010 0.929476 11505
20 0.937651 0.773115 0.847471 5505
avg / total 0.877197 0.883659 0.876515 17526
Classification report for turbine 24, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.901417 0.935586 0.918184 7545
20 0.989634 0.918245 0.952604 9981
avg / total 0.951656 0.925710 0.937786 17526
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.
'recall', 'true', average, warn_for)
Classification report for turbine 24, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.017857 0.027778 0.021739 36
12 0.000000 0.000000 0.000000 33
13 0.000000 0.000000 0.000000 33
14 0.000000 0.000000 0.000000 33
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 32
17 0.000000 0.000000 0.000000 29
18 0.000000 0.000000 0.000000 28
19 0.976452 0.980328 0.978386 16623
20 0.903955 0.752351 0.821215 638
avg / total 0.959085 0.957263 0.957916 17526
Classification report for turbine 24, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.037037 0.009346 0.014925 107
12 0.000000 0.000000 0.000000 107
13 0.000000 0.000000 0.000000 97
14 0.000000 0.000000 0.000000 107
15 0.000000 0.000000 0.000000 103
16 0.000000 0.000000 0.000000 103
17 0.000000 0.000000 0.000000 107
18 0.000000 0.000000 0.000000 106
19 0.947523 0.989007 0.967821 15646
20 0.890518 0.889648 0.890083 1024
avg / total 0.898140 0.934954 0.916100 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 19.0
precision recall f1-score support
19 0.958022 0.993290 0.975337 16244
20 0.840643 0.448518 0.584944 1282
avg / total 0.949436 0.953441 0.946780 17526
Classification report for turbine 24, turbine category 19.0
precision recall f1-score support
19 0.893012 0.993500 0.940579 11846
20 0.982287 0.751761 0.851700 5680
avg / total 0.921945 0.915155 0.911775 17526
Classification report for turbine 24, turbine category 19.0
precision recall f1-score support
19 0.927309 0.994168 0.959575 7545
20 0.995338 0.941088 0.967453 9981
avg / total 0.966051 0.963939 0.964062 17526
Classification report for turbine 24, turbine category 19.0
precision recall f1-score support
19 0.994097 0.997335 0.995713 16885
20 0.923208 0.843994 0.881826 641
avg / total 0.991504 0.991727 0.991548 17526
Classification report for turbine 24, turbine category 19.0
precision recall f1-score support
19 0.995017 0.997381 0.996198 16418
20 0.959775 0.925993 0.942582 1108
avg / total 0.992789 0.992868 0.992808 17526
------------------------------------------------------------------------
Classification report for turbine 24, turbine category 20.0
precision recall f1-score support
19 0.954229 0.995937 0.974637 16244
20 0.884615 0.394696 0.545847 1282
avg / total 0.949137 0.951957 0.943272 17526
Classification report for turbine 24, turbine category 20.0
precision recall f1-score support
19 0.889720 0.993669 0.938826 11846
20 0.982542 0.743134 0.846231 5680
avg / total 0.919803 0.912473 0.908817 17526
Classification report for turbine 24, turbine category 20.0
precision recall f1-score support
19 0.923869 0.987541 0.954644 7545
20 0.990064 0.938483 0.963584 9981
avg / total 0.961567 0.959603 0.959735 17526
Classification report for turbine 24, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 35
12 0.000000 0.000000 0.000000 32
13 0.000000 0.000000 0.000000 27
14 0.000000 0.000000 0.000000 22
15 0.000000 0.000000 0.000000 30
16 0.000000 0.000000 0.000000 26
17 0.000000 0.000000 0.000000 31
18 0.000000 0.000000 0.000000 27
19 0.981382 0.996998 0.989128 16654
20 0.896211 0.869010 0.882401 626
avg / total 0.964565 0.978432 0.971432 17526
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 24, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993206 0.997198 0.995198 16418
20 0.964844 0.891697 0.926829 1108
avg / total 0.991412 0.990528 0.990876 17526
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 2.0
precision recall f1-score support
19 0.991414 0.990078 0.990745 16327
20 0.805988 0.827798 0.816748 813
avg / total 0.982618 0.982380 0.982492 17140
Classification report for turbine 25, turbine category 2.0
precision recall f1-score support
19 0.992747 0.993813 0.993280 15839
20 0.923676 0.911606 0.917602 1301
avg / total 0.987504 0.987573 0.987535 17140
Classification report for turbine 25, turbine category 2.0
precision recall f1-score support
19 0.972344 0.996339 0.984195 14750
20 0.973346 0.825105 0.893116 2390
avg / total 0.972483 0.972462 0.971495 17140
Classification report for turbine 25, turbine category 2.0
precision recall f1-score support
19 0.989556 0.993853 0.991700 14967
20 0.956357 0.927750 0.941836 2173
avg / total 0.985347 0.985473 0.985378 17140
Classification report for turbine 25, turbine category 2.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 40
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 35
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 31
18 0.000000 0.000000 0.000000 35
19 0.978922 0.997514 0.988131 15690
20 0.905382 0.923826 0.914511 1129
avg / total 0.955744 0.973979 0.964775 17140
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989043 0.984075 0.986553 16327
20 0.795483 0.779828 0.787578 813
avg / total 0.979862 0.974387 0.977115 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 63
12 0.000000 0.000000 0.000000 64
13 0.000000 0.000000 0.000000 62
14 0.000000 0.000000 0.000000 65
15 0.000000 0.000000 0.000000 61
16 0.000000 0.000000 0.000000 61
17 0.000000 0.000000 0.000000 57
18 0.000000 0.000000 0.000000 60
19 0.975334 0.993957 0.984558 15555
20 0.739608 0.868324 0.798814 1086
avg / total 0.932003 0.957060 0.944125 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.954241 0.974102 0.964069 14750
20 0.964103 0.707950 0.816405 2390
avg / total 0.955616 0.936989 0.943479 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 521
11 0.000000 0.000000 0.000000 214
12 0.000000 0.000000 0.000000 179
13 0.000000 0.000000 0.000000 180
14 0.000000 0.000000 0.000000 166
15 0.000000 0.000000 0.000000 105
16 0.000000 0.000000 0.000000 78
17 0.000000 0.000000 0.000000 71
18 0.000000 0.000000 0.000000 71
19 0.933938 0.987024 0.959748 14180
20 0.582804 0.867636 0.697253 1375
avg / total 0.819405 0.886173 0.849938 17140
Classification report for turbine 25, turbine category 3.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993034 0.993034 0.993034 15934
20 0.955534 0.801824 0.871957 1206
avg / total 0.990395 0.979580 0.984515 17140
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 4.0
precision recall f1-score support
19 0.990766 0.992344 0.991554 16327
20 0.841169 0.814268 0.827500 813
avg / total 0.983670 0.983897 0.983773 17140
Classification report for turbine 25, turbine category 4.0
precision recall f1-score support
19 0.991812 0.994192 0.993000 15839
20 0.927158 0.900077 0.913417 1301
avg / total 0.986904 0.987048 0.986960 17140
Classification report for turbine 25, turbine category 4.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 14
11 0.000000 0.000000 0.000000 28
12 0.000000 0.000000 0.000000 30
13 0.000000 0.000000 0.000000 29
14 0.000000 0.000000 0.000000 32
15 0.000000 0.000000 0.000000 31
16 0.000000 0.000000 0.000000 27
17 0.000000 0.000000 0.000000 28
18 0.000000 0.000000 0.000000 28
19 0.944481 0.996211 0.969656 14515
20 0.962842 0.740959 0.837452 2378
avg / total 0.933417 0.946441 0.937341 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 4.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.969683 0.993326 0.981362 14683
20 0.948926 0.919944 0.934211 2161
avg / total 0.950320 0.966919 0.958469 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 4.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990846 0.991779 0.991312 15934
20 0.974170 0.875622 0.922271 1206
avg / total 0.989672 0.983606 0.986454 17140
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990188 0.982728 0.986444 16327
20 0.804455 0.799508 0.801974 813
avg / total 0.981378 0.974037 0.977694 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 92
11 0.000000 0.000000 0.000000 96
12 0.000000 0.000000 0.000000 85
13 0.000000 0.000000 0.000000 99
14 0.000000 0.000000 0.000000 89
15 0.000000 0.000000 0.000000 85
16 0.000000 0.000000 0.000000 89
17 0.000000 0.000000 0.000000 89
18 0.000000 0.000000 0.000000 87
19 0.960715 0.989945 0.975111 15316
20 0.709626 0.880553 0.785903 1013
avg / total 0.900418 0.936639 0.917790 17140
Classification report for turbine 25, turbine category 5.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.946664 0.992746 0.969157 14750
20 0.972448 0.649791 0.779032 2390
avg / total 0.950259 0.944924 0.942646 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 5.0
precision recall f1-score support
10 0.037736 0.052632 0.043956 38
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.968502 0.988624 0.978459 14680
20 0.939049 0.888004 0.912813 2134
avg / total 0.946498 0.957410 0.951774 17140
Classification report for turbine 25, turbine category 5.0
precision recall f1-score support
10 0.058824 0.012658 0.020833 79
11 0.000000 0.000000 0.000000 81
12 0.000000 0.000000 0.000000 61
13 0.000000 0.000000 0.000000 71
14 0.000000 0.000000 0.000000 72
15 0.000000 0.000000 0.000000 72
16 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 71
18 0.000000 0.000000 0.000000 72
19 0.963344 0.993527 0.978203 15448
20 0.833039 0.905860 0.867925 1041
avg / total 0.919112 0.950525 0.934448 17140
------------------------------------------------------------------------
Classification report for turbine 25, turbine category 6.0
precision recall f1-score support
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988488 0.988730 0.988609 16327
20 0.812500 0.767528 0.789374 813
avg / total 0.980141 0.978238 0.979159 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991176 0.992803 0.991988 15839
20 0.921178 0.889316 0.904967 1301
avg / total 0.985862 0.984947 0.985383 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.946144 0.995729 0.970304 14750
20 0.964574 0.649372 0.776194 2390
avg / total 0.948714 0.947433 0.943237 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 6.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 47
11 0.000000 0.000000 0.000000 56
12 0.000000 0.000000 0.000000 53
13 0.000000 0.000000 0.000000 64
14 0.000000 0.000000 0.000000 48
15 0.000000 0.000000 0.000000 56
16 0.000000 0.000000 0.000000 57
17 0.000000 0.000000 0.000000 55
18 0.000000 0.000000 0.000000 61
19 0.958439 0.992494 0.975169 14522
20 0.928912 0.917963 0.923405 2121
avg / total 0.926993 0.954492 0.940487 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 6.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.991941 0.996486 0.994208 15934
20 0.959821 0.891376 0.924334 1206
avg / total 0.989681 0.989090 0.989292 17140
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 7.0
precision recall f1-score support
19 0.990812 0.990752 0.990782 16327
20 0.814496 0.815498 0.814997 813
avg / total 0.982449 0.982439 0.982444 17140
Classification report for turbine 25, turbine category 7.0
precision recall f1-score support
19 0.994370 0.992424 0.993396 15839
20 0.909910 0.931591 0.920623 1301
avg / total 0.987959 0.987806 0.987872 17140
Classification report for turbine 25, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 159
11 0.000000 0.000000 0.000000 59
12 0.000000 0.000000 0.000000 60
13 0.000000 0.000000 0.000000 52
14 0.000000 0.000000 0.000000 26
15 0.000000 0.000000 0.000000 22
16 0.000000 0.000000 0.000000 30
17 0.000000 0.000000 0.000000 24
18 0.000000 0.000000 0.000000 27
19 0.940031 0.996123 0.967265 14446
20 0.885371 0.725727 0.797640 2235
avg / total 0.907730 0.934189 0.919243 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.988873 0.985702 0.987285 14967
20 0.925707 0.647952 0.762317 2173
avg / total 0.980865 0.942882 0.958764 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 7.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
19 0.992106 0.978097 0.985052 15934
20 0.958222 0.893864 0.924925 1206
avg / total 0.989722 0.972170 0.980821 17140
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991612 0.905065 0.946364 16327
20 0.728132 0.378844 0.498382 813
avg / total 0.979114 0.880105 0.925115 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.981402 0.956184 0.968629 15839
20 0.852542 0.386626 0.531994 1301
avg / total 0.971621 0.912952 0.935487 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 8.0
precision recall f1-score support
10 0.009636 0.290323 0.018653 31
11 0.000000 0.000000 0.000000 99
12 0.000000 0.000000 0.000000 81
13 0.000000 0.000000 0.000000 92
14 0.000000 0.000000 0.000000 79
15 0.000000 0.000000 0.000000 90
16 0.000000 0.000000 0.000000 91
17 0.000000 0.000000 0.000000 93
18 0.000000 0.000000 0.000000 89
19 0.915979 0.956897 0.935991 14036
20 0.928641 0.402713 0.561798 2359
avg / total 0.877926 0.839557 0.843840 17140
Classification report for turbine 25, turbine category 8.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 5
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.019231 0.027778 0.022727 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.971652 0.977193 0.974415 14732
20 0.935030 0.816163 0.871562 2116
avg / total 0.950618 0.940723 0.945164 17140
Classification report for turbine 25, turbine category 8.0
precision recall f1-score support
10 0.076087 0.148936 0.100719 47
11 0.000000 0.000000 0.000000 215
12 0.000000 0.000000 0.000000 215
13 0.000000 0.000000 0.000000 214
14 0.000000 0.000000 0.000000 216
15 0.000000 0.000000 0.000000 213
16 0.000000 0.000000 0.000000 215
17 0.000000 0.000000 0.000000 210
18 0.000000 0.000000 0.000000 216
19 0.888148 0.989273 0.935987 14263
20 0.898734 0.827061 0.861409 1116
avg / total 0.797795 0.877480 0.835242 17140
------------------------------------------------------------------------
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.990369 0.982544 0.986441 16327
20 0.793478 0.808118 0.800731 813
avg / total 0.981030 0.974271 0.977632 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991961 0.989393 0.990675 15839
20 0.914330 0.902383 0.908317 1301
avg / total 0.986068 0.982789 0.984424 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.968038 0.993831 0.980765 14750
20 0.975435 0.797490 0.877532 2390
avg / total 0.969069 0.966453 0.966370 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 9.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 35
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 35
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.977262 0.993713 0.985419 14792
20 0.908222 0.923675 0.915883 2057
avg / total 0.952385 0.968436 0.960343 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 9.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991692 0.996360 0.994021 15934
20 0.956873 0.883085 0.918499 1206
avg / total 0.989242 0.988390 0.988707 17140
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 10.0
precision recall f1-score support
10 0.347107 0.223404 0.271845 188
11 0.019608 0.006803 0.010101 147
12 0.011494 0.006757 0.008511 148
13 0.000000 0.000000 0.000000 153
14 0.000000 0.000000 0.000000 143
15 0.033333 0.006623 0.011050 151
16 0.034483 0.007407 0.012195 135
17 0.052632 0.006849 0.012121 146
18 0.000000 0.000000 0.000000 131
19 0.918634 0.970383 0.943799 15160
20 0.615756 0.600313 0.607937 638
avg / total 0.840522 0.883372 0.860840 17140
Classification report for turbine 25, turbine category 10.0
precision recall f1-score support
10 0.015385 0.004115 0.006494 243
11 0.000000 0.000000 0.000000 54
12 0.000000 0.000000 0.000000 55
13 0.000000 0.000000 0.000000 59
14 0.000000 0.000000 0.000000 61
15 0.000000 0.000000 0.000000 51
16 0.000000 0.000000 0.000000 60
17 0.000000 0.000000 0.000000 49
18 0.000000 0.000000 0.000000 55
19 0.962852 0.979256 0.970985 15378
20 0.743377 0.835349 0.786684 1075
avg / total 0.910712 0.931039 0.920599 17140
Classification report for turbine 25, turbine category 10.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 31
12 0.000000 0.000000 0.000000 29
13 0.000000 0.000000 0.000000 32
14 0.000000 0.000000 0.000000 31
15 0.000000 0.000000 0.000000 31
16 0.000000 0.000000 0.000000 28
17 0.000000 0.000000 0.000000 29
18 0.000000 0.000000 0.000000 31
19 0.928562 0.965745 0.946789 14509
20 0.944954 0.604612 0.737407 2385
avg / total 0.917516 0.901634 0.904065 17140
Classification report for turbine 25, turbine category 10.0
precision recall f1-score support
10 0.010204 0.045455 0.016667 44
11 0.000000 0.000000 0.000000 66
12 0.000000 0.000000 0.000000 58
13 0.000000 0.000000 0.000000 68
14 0.000000 0.000000 0.000000 64
15 0.000000 0.000000 0.000000 65
16 0.000000 0.000000 0.000000 62
17 0.000000 0.000000 0.000000 56
18 0.000000 0.000000 0.000000 68
19 0.954457 0.983958 0.968983 14462
20 0.938155 0.841561 0.887237 2127
avg / total 0.921777 0.934772 0.927732 17140
Classification report for turbine 25, turbine category 10.0
precision recall f1-score support
10 0.745098 0.189055 0.301587 402
11 0.000000 0.000000 0.000000 214
12 0.000000 0.000000 0.000000 215
13 0.000000 0.000000 0.000000 215
14 0.000000 0.000000 0.000000 197
15 0.000000 0.000000 0.000000 176
16 0.000000 0.000000 0.000000 179
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 163
19 0.894843 0.992683 0.941227 14350
20 0.686368 0.848057 0.758693 849
avg / total 0.800656 0.877538 0.832671 17140
------------------------------------------------------------------------
Classification report for turbine 25, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 186
11 0.000000 0.000000 0.000000 103
12 0.000000 0.000000 0.000000 37
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 31
15 0.000000 0.000000 0.000000 31
16 0.000000 0.000000 0.000000 31
17 0.000000 0.000000 0.000000 29
18 0.000000 0.000000 0.000000 29
19 0.973744 0.990413 0.982008 16064
20 0.524590 0.731107 0.610866 569
avg / total 0.930030 0.952509 0.940639 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.991176 0.985795 0.988478 15839
20 0.929853 0.876249 0.902256 1301
avg / total 0.986522 0.977480 0.981933 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 32
12 0.000000 0.000000 0.000000 33
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 30
15 0.000000 0.000000 0.000000 28
16 0.000000 0.000000 0.000000 33
17 0.000000 0.000000 0.000000 29
18 0.000000 0.000000 0.000000 30
19 0.944875 0.976145 0.960255 14504
20 0.965461 0.752946 0.846063 2376
avg / total 0.933395 0.930397 0.929859 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 11.0
precision recall f1-score support
10 0.407407 0.021569 0.040968 510
11 0.000000 0.000000 0.000000 191
12 0.000000 0.000000 0.000000 183
13 0.000000 0.000000 0.000000 167
14 0.000000 0.000000 0.000000 161
15 0.000000 0.000000 0.000000 154
16 0.000000 0.000000 0.000000 143
17 0.000000 0.000000 0.000000 154
18 0.000000 0.000000 0.000000 150
19 0.899500 0.992067 0.943519 13614
20 0.760500 0.887916 0.819284 1713
avg / total 0.802585 0.877363 0.832520 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 11.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.000000 0.000000 0.000000 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.000000 0.000000 0.000000 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.973768 0.994120 0.983839 15646
20 0.958602 0.866889 0.910441 1202
avg / total 0.956115 0.968261 0.961931 17140
------------------------------------------------------------------------
Classification report for turbine 25, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.989487 0.974276 0.981823 16327
20 0.854025 0.769988 0.809832 813
avg / total 0.983062 0.964586 0.973665 17140
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 33
12 0.000000 0.000000 0.000000 31
13 0.000000 0.000000 0.000000 30
14 0.000000 0.000000 0.000000 24
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 29
18 0.000000 0.000000 0.000000 28
19 0.974542 0.987834 0.981143 15617
20 0.882641 0.850746 0.866400 1273
avg / total 0.953502 0.963244 0.958310 17140
Classification report for turbine 25, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 27
11 0.000000 0.000000 0.000000 47
12 0.000000 0.000000 0.000000 37
13 0.000000 0.000000 0.000000 24
14 0.000000 0.000000 0.000000 32
15 0.000000 0.000000 0.000000 24
16 0.000000 0.000000 0.000000 34
17 0.000000 0.000000 0.000000 32
18 0.000000 0.000000 0.000000 33
19 0.939533 0.991985 0.965047 14473
20 0.958380 0.726546 0.826514 2377
avg / total 0.926250 0.938390 0.929507 17140
Classification report for turbine 25, turbine category 16.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 116
11 0.000000 0.000000 0.000000 83
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 70
14 0.000000 0.000000 0.000000 69
15 0.000000 0.000000 0.000000 70
16 0.000000 0.000000 0.000000 69
17 0.000000 0.000000 0.000000 71
18 0.000000 0.000000 0.000000 72
19 0.948337 0.990462 0.968942 14363
20 0.926972 0.913189 0.920029 2085
avg / total 0.907450 0.941074 0.923872 17140
Classification report for turbine 25, turbine category 16.0
precision recall f1-score support
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.992048 0.994289 0.993167 15934
20 0.971971 0.891376 0.929931 1206
avg / total 0.990635 0.987048 0.988718 17140
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)
Classification report for turbine 25, turbine category 18.0
precision recall f1-score support
10 0.032258 0.052632 0.040000 19
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 124
13 0.000000 0.000000 0.000000 122
14 0.008547 0.007752 0.008130 129
15 0.000000 0.000000 0.000000 128
16 0.009346 0.007752 0.008475 129
17 0.000000 0.000000 0.000000 115
18 0.007463 0.007937 0.007692 126
19 0.936331 0.947068 0.941669 15435
20 0.685637 0.717730 0.701317 705
avg / total 0.871616 0.882614 0.877069 17140
Classification report for turbine 25, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.000000 0.000000 0.000000 60
12 0.000000 0.000000 0.000000 64
13 0.000000 0.000000 0.000000 66
14 0.000000 0.000000 0.000000 55
15 0.000000 0.000000 0.000000 53
16 0.008772 0.018182 0.011834 55
17 0.057692 0.050000 0.053571 60
18 0.000000 0.000000 0.000000 58
19 0.966304 0.971772 0.969031 15375
20 0.901474 0.904280 0.902875 1285
avg / total 0.934613 0.939732 0.937159 17140
Classification report for turbine 25, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 27
12 0.000000 0.000000 0.000000 28
13 0.000000 0.000000 0.000000 31
14 0.000000 0.000000 0.000000 30
15 0.000000 0.000000 0.000000 30
16 0.000000 0.000000 0.000000 29
17 0.000000 0.000000 0.000000 31
18 0.000000 0.000000 0.000000 26
19 0.942522 0.962455 0.952384 14516
20 0.974473 0.735960 0.838586 2386
avg / total 0.933882 0.917561 0.923318 17140
Classification report for turbine 25, turbine category 18.0
precision recall f1-score support
10 0.500000 0.071429 0.125000 14
11 0.000000 0.000000 0.000000 56
12 0.000000 0.000000 0.000000 60
13 0.031250 0.015873 0.021053 63
14 0.000000 0.000000 0.000000 85
15 0.000000 0.000000 0.000000 97
16 0.035714 0.010000 0.015625 100
17 0.000000 0.000000 0.000000 97
18 0.000000 0.000000 0.000000 97
19 0.947945 0.980249 0.963827 14379
20 0.924528 0.913480 0.918971 2092
avg / total 0.908819 0.934014 0.921003 17140
Classification report for turbine 25, turbine category 18.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.000000 0.000000 0.000000 71
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 60
14 0.066667 0.021277 0.032258 47
15 0.000000 0.000000 0.000000 35
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.978362 0.988937 0.983621 15728
20 0.793230 0.860973 0.825714 1007
avg / total 0.944550 0.958110 0.951190 17140
------------------------------------------------------------------------
Classification report for turbine 25, turbine category 19.0
precision recall f1-score support
19 0.991002 0.991609 0.991305 16327
20 0.829390 0.819188 0.824257 813
avg / total 0.983336 0.983431 0.983382 17140
Classification report for turbine 25, turbine category 19.0
precision recall f1-score support
19 0.992499 0.994065 0.993281 15839
20 0.926332 0.908532 0.917346 1301
avg / total 0.987476 0.987573 0.987518 17140
Classification report for turbine 25, turbine category 19.0
precision recall f1-score support
19 0.954209 0.996000 0.974657 14750
20 0.966170 0.705021 0.815191 2390
avg / total 0.955877 0.955426 0.952421 17140
Classification report for turbine 25, turbine category 19.0
precision recall f1-score support
19 0.989488 0.993720 0.991599 14967
20 0.955429 0.927289 0.941149 2173
avg / total 0.985170 0.985298 0.985203 17140
Classification report for turbine 25, turbine category 19.0
precision recall f1-score support
19 0.992812 0.996925 0.994864 15934
20 0.957018 0.904643 0.930094 1206
avg / total 0.990294 0.990432 0.990307 17140
------------------------------------------------------------------------
Classification report for turbine 25, turbine category 20.0
precision recall f1-score support
19 0.991908 0.990997 0.991452 16327
20 0.822464 0.837638 0.829982 813
avg / total 0.983871 0.983722 0.983793 17140
Classification report for turbine 25, turbine category 20.0
precision recall f1-score support
19 0.993800 0.991729 0.992763 15839
20 0.901799 0.924673 0.913093 1301
avg / total 0.986817 0.986639 0.986716 17140
Classification report for turbine 25, turbine category 20.0
precision recall f1-score support
19 0.953605 0.996339 0.974503 14750
20 0.968768 0.700837 0.813304 2390
avg / total 0.955719 0.955134 0.952026 17140
Classification report for turbine 25, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 127
11 0.000000 0.000000 0.000000 268
12 0.000000 0.000000 0.000000 260
13 0.000000 0.000000 0.000000 247
14 0.000000 0.000000 0.000000 158
15 0.000000 0.000000 0.000000 136
16 0.000000 0.000000 0.000000 139
17 0.000000 0.000000 0.000000 129
18 0.000000 0.000000 0.000000 133
19 0.909460 0.995920 0.950728 13727
20 0.798861 0.927313 0.858308 1816
avg / total 0.813004 0.895858 0.852353 17140
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.
'precision', 'predicted', average, warn_for)
Classification report for turbine 25, turbine category 20.0
precision recall f1-score support
10 0.000000 0.000000 0.000000 0
11 0.000000 0.000000 0.000000 0
12 0.000000 0.000000 0.000000 0
13 0.000000 0.000000 0.000000 0
14 0.000000 0.000000 0.000000 0
15 0.000000 0.000000 0.000000 0
16 0.000000 0.000000 0.000000 0
17 0.000000 0.000000 0.000000 0
18 0.000000 0.000000 0.000000 0
19 0.993438 0.988139 0.990781 15934
20 0.963370 0.872305 0.915579 1206
avg / total 0.991322 0.979988 0.985490 17140
------------------------------------------------------------------------
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.
'recall', 'true', average, warn_for)