Results for random forest classifier#
Multilabel classification with imbalanced data#
import numpy as np
import pandas as pd
from sklearn import preprocessing
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report
from sklearn.model_selection import TimeSeriesSplit
# import data - merged SCADA and downtime
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)) # list of labels identified by their index
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 <= 3.5deg b/w
# 90 % power and 10 % power
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 'before fault' classes to 6 hour intervals
if c["hours"] == 0: # 'faulty'
return 10
elif 1 <= c["hours"] <= 6: # 'up to 6 hours before fault'
return 11
elif 7 <= c["hours"] <= 12: # 'up to 12 hours before fault'
return 12
elif 13 <= c["hours"] <= 18: # 'up to 18 hours before fault'
return 13
elif 19 <= c["hours"] <= 24: # 'up to 24 hours before fault'
return 14
elif 25 <= c["hours"] <= 30: # 'up to 30 hours before fault'
return 15
elif 31 <= c["hours"] <= 36: # 'up to 36 hours before fault'
return 16
elif 37 <= c["hours"] <= 42: # 'up to 42 hours before fault'
return 17
elif 43 <= c["hours"] <= 48: # 'up to 48 hours before fault'
return 18
else:
return 19 # 'normal'
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] # labels
list6 = features + classes # list of columns to copy into new df
df2 = dfx[list6].copy()
df2 = df2.dropna() # drop NaNs
X = df2[features]
# convert features to array of size [n_samples,n_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 array
tscv = TimeSeriesSplit(n_splits=5)
# five-fold cross-validation using time series split
rf = RandomForestClassifier(criterion="entropy", n_jobs=-1)
# define classifier
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 = Y[train_index], Y[test_index]
rf1 = rf.fit(X_train, Y_train) # fit to classifier and predict
Yp = rf1.predict(X_test)
for m in list4:
# loop for each label to find performance scores
# (because multilabel is not supported)
Yt = Y_test[:, m]
Ypr = Yp[:, m]
print(
"Classification report for turbine %s, turbine category %s"
% (x, m)
)
print(classification_report(Yt, Ypr, digits=6))
print("-----------------------------------------------------------")
Classification report for turbine 1, turbine category 0
precision recall f1-score support
19 0.984376 0.996567 0.990434 16311
20 0.933492 0.752874 0.833510 1044
avg / total 0.981315 0.981907 0.980994 17355
Classification report for turbine 1, turbine category 1
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
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 0.966753 0.996567 0.981434 16019
20 0.933492 0.753595 0.833952 1043
avg / total 0.948433 0.965140 0.956001 17355
Classification report for turbine 1, turbine category 2
precision recall f1-score support
19 0.984376 0.996567 0.990434 16311
20 0.933492 0.752874 0.833510 1044
avg / total 0.981315 0.981907 0.980994 17355
Classification report for turbine 1, turbine category 3
precision recall f1-score support
10.0 0.270073 0.560606 0.364532 66
11.0 0.009524 0.130841 0.017755 107
12.0 0.014815 0.055556 0.023392 72
13.0 0.006536 0.016949 0.009434 59
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.976238 0.848787 0.908062 16070
20.0 0.849624 0.345566 0.491304 981
avg / total 0.953150 0.808701 0.870223 17355
Classification report for turbine 1, turbine category 4
precision recall f1-score support
10 0.527711 0.693038 0.599179 316
11 0.128505 0.075862 0.095403 725
12 0.118705 0.048961 0.069328 674
13 0.053763 0.008432 0.014577 593
14 0.024000 0.005245 0.008608 572
15 0.006536 0.001852 0.002886 540
16 0.115044 0.025440 0.041667 511
17 0.025974 0.004386 0.007505 456
18 0.018182 0.002315 0.004107 432
19 0.738563 0.938614 0.826658 12006
20 0.413889 0.281132 0.334831 530
avg / total 0.550510 0.677038 0.602084 17355
Classification report for turbine 1, turbine category 5
precision recall f1-score support
19 0.984376 0.996567 0.990434 16311
20 0.933492 0.752874 0.833510 1044
avg / total 0.981315 0.981907 0.980994 17355
Classification report for turbine 1, turbine category 6
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 0.959952 0.995977 0.977632 15908
20 0.905615 0.751239 0.821235 1009
avg / total 0.932566 0.956612 0.943866 17355
Classification report for turbine 1, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985808 0.966710 0.976165 16311
20.0 0.935484 0.750000 0.832536 1044
avg / total 0.982781 0.953673 0.967525 17355
Classification report for turbine 1, turbine category 8
precision recall f1-score support
10 0.277487 0.298592 0.287653 710
11 0.318570 0.485440 0.384688 2919
12 0.117044 0.184093 0.143104 1798
13 0.065740 0.090176 0.076043 1364
14 0.076774 0.070160 0.073318 1126
15 0.076142 0.032017 0.045079 937
16 0.034392 0.016539 0.022337 786
17 0.064972 0.031039 0.042009 741
18 0.097561 0.053571 0.069164 672
19 0.542216 0.433487 0.481793 6074
20 0.250000 0.070175 0.109589 228
avg / total 0.292480 0.283088 0.280007 17355
Classification report for turbine 1, turbine category 9
precision recall f1-score support
19 0.984376 0.996567 0.990434 16311
20 0.933492 0.752874 0.833510 1044
avg / total 0.981315 0.981907 0.980994 17355
Classification report for turbine 1, turbine category 10
precision recall f1-score support
19 0.984376 0.996567 0.990434 16311
20 0.933492 0.752874 0.833510 1044
avg / total 0.981315 0.981907 0.980994 17355
Classification report for turbine 1, turbine category 11
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 0.883970 0.997540 0.937327 14633
20 0.910926 0.768537 0.833696 998
avg / total 0.797709 0.885278 0.838256 17355
Classification report for turbine 1, turbine category 12
precision recall f1-score support
19 0.984376 0.996567 0.990434 16311
20 0.933492 0.752874 0.833510 1044
avg / total 0.981315 0.981907 0.980994 17355
Classification report for turbine 1, turbine category 13
precision recall f1-score support
19 0.984376 0.996567 0.990434 16311
20 0.933492 0.752874 0.833510 1044
avg / total 0.981315 0.981907 0.980994 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 0
precision recall f1-score support
19 0.981463 0.997678 0.989504 15072
20 0.982793 0.875602 0.926106 2283
avg / total 0.981638 0.981619 0.981164 17355
Classification report for turbine 1, turbine category 1
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 0.100000 0.012903 0.022857 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 0.928924 0.989832 0.958411 14260
20 0.636453 0.850688 0.728139 1527
avg / total 0.820157 0.888274 0.851763 17355
Classification report for turbine 1, turbine category 2
precision recall f1-score support
19 0.981463 0.997678 0.989504 15072
20 0.982793 0.875602 0.926106 2283
avg / total 0.981638 0.981619 0.981164 17355
Classification report for turbine 1, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.981828 0.992967 0.987366 15072
20.0 0.981329 0.782742 0.870858 2283
avg / total 0.981762 0.965313 0.972040 17355
Classification report for turbine 1, turbine category 4
precision recall f1-score support
10 0.179688 0.844037 0.296296 109
11 0.016393 0.022727 0.019048 88
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.062500 0.055556 0.058824 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 0.949638 0.960003 0.954792 14476
20 0.964160 0.629936 0.762011 2178
avg / total 0.914574 0.885451 0.894234 17355
Classification report for turbine 1, turbine category 5
precision recall f1-score support
19 0.981463 0.997678 0.989504 15072
20 0.982793 0.875602 0.926106 2283
avg / total 0.981638 0.981619 0.981164 17355
Classification report for turbine 1, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 224
11 0.000000 0.000000 0.000000 260
12 0.000000 0.000000 0.000000 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 0.880047 0.996744 0.934768 13514
20 0.866667 0.862376 0.864516 2020
avg / total 0.786149 0.876520 0.828509 17355
Classification report for turbine 1, turbine category 7
precision recall f1-score support
10 0.200000 0.012500 0.023529 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 0.962648 0.990510 0.976381 14753
20 0.805745 0.873351 0.838187 1895
avg / total 0.907222 0.937424 0.921624 17355
Classification report for turbine 1, turbine category 8
precision recall f1-score support
10 0.051095 0.341463 0.088889 123
11 0.153429 0.437569 0.227194 905
12 0.059026 0.140327 0.083098 734
13 0.033665 0.064140 0.044155 686
14 0.045394 0.054662 0.049599 622
15 0.042125 0.037582 0.039724 612
16 0.041209 0.025510 0.031513 588
17 0.038961 0.026042 0.031217 576
18 0.025455 0.013283 0.017456 527
19 0.756202 0.603864 0.671502 10196
20 0.874715 0.215006 0.345169 1786
avg / total 0.553048 0.416018 0.453576 17355
Classification report for turbine 1, turbine category 9
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 0.865413 0.997667 0.926846 13290
20 0.465093 0.799662 0.588126 1183
avg / total 0.694414 0.818496 0.749844 17355
Classification report for turbine 1, turbine category 10
precision recall f1-score support
19 0.981463 0.997678 0.989504 15072
20 0.982793 0.875602 0.926106 2283
avg / total 0.981638 0.981619 0.981164 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.068493 0.069444 0.068966 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 0.951041 0.965271 0.958103 14570
20 0.942165 0.867547 0.903318 2197
avg / total 0.917980 0.920484 0.918993 17355
Classification report for turbine 1, turbine category 12
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 0.952092 0.997606 0.974318 14622
20 0.768437 0.900865 0.829398 1735
avg / total 0.878982 0.930568 0.903802 17355
Classification report for turbine 1, turbine category 13
precision recall f1-score support
19 0.981463 0.997678 0.989504 15072
20 0.982793 0.875602 0.926106 2283
avg / total 0.981638 0.981619 0.981164 17355
------------------------------------------------------------------------
Classification report for turbine 1, turbine category 0
precision recall f1-score support
19 0.929586 0.937329 0.933441 9845
20 0.916936 0.906924 0.911903 7510
avg / total 0.924112 0.924172 0.924121 17355
Classification report for turbine 1, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.934077 0.926866 0.930458 9845
20.0 0.914083 0.891079 0.902434 7510
avg / total 0.925425 0.911380 0.918331 17355
Classification report for turbine 1, turbine category 2
precision recall f1-score support
19 0.929586 0.937329 0.933441 9845
20 0.916936 0.906924 0.911903 7510
avg / total 0.924112 0.924172 0.924121 17355
Classification report for turbine 1, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.927560 0.937735 0.932619 9845
20.0 0.917427 0.883222 0.900000 7510
avg / total 0.923175 0.914146 0.918504 17355
Classification report for turbine 1, turbine category 4
precision recall f1-score support
10 0.009709 0.019608 0.012987 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 0.900413 0.931394 0.915642 9591
20 0.900713 0.886609 0.893605 7408
avg / total 0.882100 0.893230 0.887491 17355
Classification report for turbine 1, turbine category 5
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 0.899063 0.937008 0.917643 9525
20 0.880183 0.911474 0.895555 7173
avg / total 0.857224 0.890982 0.873775 17355
Classification report for turbine 1, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 913
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 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 0.770309 0.924939 0.840572 8673
20 0.859097 0.611830 0.714681 7185
avg / total 0.740623 0.715529 0.715947 17355
Classification report for turbine 1, turbine category 7
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 0.786543 0.926290 0.850715 8859
20 0.890271 0.803762 0.844808 7389
avg / total 0.780536 0.815039 0.793937 17355
Classification report for turbine 1, turbine category 8
precision recall f1-score support
10 0.027225 0.173333 0.047059 150
11 0.098540 0.215426 0.135225 376
12 0.022599 0.011396 0.015152 351
13 0.035088 0.012346 0.018265 324
14 0.000000 0.000000 0.000000 324
15 0.065574 0.012346 0.020779 324
16 0.036364 0.006472 0.010989 309
17 0.014706 0.007042 0.009524 284
18 0.000000 0.000000 0.000000 252
19 0.716616 0.804541 0.758038 7971
20 0.854138 0.746637 0.796778 6690
avg / total 0.663983 0.664419 0.660025 17355
Classification report for turbine 1, turbine category 9
precision recall f1-score support
10.0 0.378049 0.837838 0.521008 37
11.0 0.000000 0.000000 0.000000 36
12.0 0.000000 0.000000 0.000000 36
13.0 0.000000 0.000000 0.000000 36
14.0 0.000000 0.000000 0.000000 36
15.0 0.000000 0.000000 0.000000 36
16.0 0.000000 0.000000 0.000000 36
17.0 0.000000 0.000000 0.000000 15
18.0 0.000000 0.000000 0.000000 0
19.0 0.905956 0.931773 0.918683 9615
20.0 0.913103 0.888785 0.900780 7472
avg / total 0.895849 0.900663 0.897899 17355
Classification report for turbine 1, turbine category 10
precision recall f1-score support
19 0.929586 0.937329 0.933441 9845
20 0.916936 0.906924 0.911903 7510
avg / total 0.924112 0.924172 0.924121 17355
Classification report for turbine 1, turbine category 11
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 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 108
17 0.166667 0.009259 0.017544 108
18 0.000000 0.000000 0.000000 108
19 0.848149 0.921466 0.883289 8977
20 0.914891 0.916600 0.915745 7494
avg / total 0.834804 0.872486 0.852421 17355
Classification report for turbine 1, turbine category 12
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.901113 0.904317 0.902712 9845
20.0 0.893006 0.683489 0.774325 7510
avg / total 0.897605 0.808758 0.847155 17355
Classification report for turbine 1, turbine category 13
precision recall f1-score support
10 0.000000 0.000000 0.000000 8763
19 0.720359 0.994437 0.835495 7191
20 0.148223 0.785867 0.249405 1401
avg / total 0.310444 0.475483 0.366319 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.987582 0.995655 0.991602 13579
20 0.983902 0.954979 0.969225 3776
avg / total 0.986781 0.986805 0.986733 17355
Classification report for turbine 1, turbine category 1
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.967570 0.994283 0.980744 13293
20 0.962113 0.942818 0.952368 3690
avg / total 0.945670 0.962028 0.953689 17355
Classification report for turbine 1, turbine category 2
precision recall f1-score support
19 0.987582 0.995655 0.991602 13579
20 0.983902 0.954979 0.969225 3776
avg / total 0.986781 0.986805 0.986733 17355
Classification report for turbine 1, turbine category 3
precision recall f1-score support
10 0.020000 0.040650 0.026810 123
11 0.500000 0.003257 0.006472 307
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 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 0.871131 0.993905 0.928477 11977
20 0.877079 0.833675 0.854827 3415
avg / total 0.782755 0.850303 0.809270 17355
Classification report for turbine 1, turbine category 4
precision recall f1-score support
10 0.267568 0.908257 0.413361 109
11 0.006623 0.013889 0.008969 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 0.045455 0.013889 0.021277 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 0.967270 0.984287 0.975704 13301
20 0.913671 0.826175 0.867723 3446
avg / total 0.924638 0.924229 0.922803 17355
Classification report for turbine 1, turbine category 5
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 0.931838 0.995318 0.962533 12815
20 0.954116 0.940258 0.947136 3649
avg / total 0.888682 0.932642 0.909879 17355
Classification report for turbine 1, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.966672 0.992703 0.979515 13294
20 0.949204 0.949464 0.949334 3641
avg / total 0.939613 0.959608 0.949478 17355
Classification report for turbine 1, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988564 0.993078 0.990816 13579
20.0 0.983288 0.950477 0.966604 3776
avg / total 0.987416 0.983809 0.985548 17355
Classification report for turbine 1, turbine category 8
precision recall f1-score support
10 0.135638 0.280734 0.182905 545
11 0.190840 0.277094 0.226017 1624
12 0.093750 0.073377 0.082322 1063
13 0.052817 0.034091 0.041436 880
14 0.057407 0.047112 0.051753 658
15 0.049661 0.034321 0.040590 641
16 0.080000 0.034722 0.048426 576
17 0.070175 0.022140 0.033661 542
18 0.007519 0.002053 0.003226 487
19 0.669010 0.752383 0.708251 8602
20 0.609698 0.441566 0.512187 1737
avg / total 0.432223 0.463037 0.442555 17355
Classification report for turbine 1, turbine category 9
precision recall f1-score support
10 0.502092 0.212014 0.298137 566
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 252
14 0.307692 0.015873 0.030189 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 0.849790 0.989470 0.914326 11681
20 0.830389 0.912031 0.869297 3092
avg / total 0.740748 0.835609 0.780436 17355
Classification report for turbine 1, turbine category 10
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 0.973557 0.995593 0.984452 13387
20 0.952524 0.954347 0.953434 3658
avg / total 0.951734 0.969116 0.960330 17355
Classification report for turbine 1, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 25
11 0.027778 0.006944 0.011111 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 0.034483 0.006944 0.011561 144
19 0.915002 0.985107 0.948761 12556
20 0.942927 0.953341 0.948105 3622
avg / total 0.859292 0.911783 0.884468 17355
Classification report for turbine 1, turbine category 12
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987634 0.993961 0.990787 13579
20.0 0.983557 0.950477 0.966734 3776
avg / total 0.986747 0.984500 0.985554 17355
Classification report for turbine 1, turbine category 13
precision recall f1-score support
10 0.062257 0.050794 0.055944 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 0.961570 0.987674 0.974447 13224
20 0.840967 0.912346 0.875204 3240
avg / total 0.890818 0.923826 0.906907 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
19 0.980814 0.996857 0.988770 14000
20 0.985925 0.918629 0.951088 3355
avg / total 0.981802 0.981734 0.981486 17355
Classification report for turbine 1, turbine category 1
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 0.954417 0.994494 0.974044 13622
20 0.918266 0.883758 0.900682 3140
avg / total 0.915265 0.940478 0.927489 17355
Classification report for turbine 1, turbine category 2
precision recall f1-score support
19 0.980814 0.996857 0.988770 14000
20 0.985925 0.918629 0.951088 3355
avg / total 0.981802 0.981734 0.981486 17355
Classification report for turbine 1, turbine category 3
precision recall f1-score support
10 0.214286 0.096774 0.133333 93
11 0.000000 0.000000 0.000000 43
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 0.959307 0.982340 0.970687 13703
20 0.958859 0.885417 0.920675 3264
avg / total 0.938924 0.942668 0.940294 17355
Classification report for turbine 1, turbine category 4
precision recall f1-score support
10 0.071225 0.555556 0.126263 45
11 0.006557 0.027778 0.010610 72
12 0.019417 0.027778 0.022857 72
13 0.032258 0.013889 0.019417 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 0.951743 0.959330 0.955521 13548
20 0.939038 0.802574 0.865459 3186
avg / total 0.915781 0.897954 0.905344 17355
Classification report for turbine 1, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.981072 0.995929 0.988445 14000
20.0 0.984902 0.913860 0.948052 3355
avg / total 0.981813 0.980063 0.980636 17355
Classification report for turbine 1, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 138
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 0.076923 0.003086 0.005935 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 0.802424 0.993371 0.887746 11464
20 0.947598 0.886828 0.916207 3181
avg / total 0.705170 0.818784 0.754451 17355
Classification report for turbine 1, turbine category 7
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 0.966443 0.995209 0.980615 13775
20 0.962915 0.901065 0.930964 3285
avg / total 0.949348 0.960472 0.954549 17355
Classification report for turbine 1, turbine category 8
precision recall f1-score support
10 0.321617 0.230189 0.268328 795
11 0.238066 0.374759 0.291168 2076
12 0.090719 0.068289 0.077922 1274
13 0.071066 0.041217 0.052174 1019
14 0.040773 0.023990 0.030207 792
15 0.023346 0.009464 0.013468 634
16 0.034653 0.013109 0.019022 534
17 0.022556 0.006160 0.009677 487
18 0.018349 0.004608 0.007366 434
19 0.600711 0.679873 0.637845 8203
20 0.305208 0.418248 0.352896 1107
avg / total 0.362313 0.412965 0.382809 17355
Classification report for turbine 1, turbine category 9
precision recall f1-score support
10 0.536424 0.209573 0.301395 773
11 0.076923 0.001372 0.002695 729
12 0.000000 0.000000 0.000000 482
13 0.000000 0.000000 0.000000 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 0.009259 0.004630 0.006173 216
19 0.820327 0.988893 0.896757 11704
20 0.684191 0.885633 0.771988 2116
avg / total 0.663877 0.784327 0.712501 17355
Classification report for turbine 1, turbine category 10
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 0.921077 0.996502 0.957306 13152
20 0.958454 0.913444 0.935408 3258
avg / total 0.877940 0.926649 0.901069 17355
Classification report for turbine 1, turbine category 11
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 0.962120 0.993215 0.977420 13707
20 0.983773 0.922159 0.951970 3353
avg / total 0.949949 0.962604 0.955889 17355
Classification report for turbine 1, turbine category 12
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.980942 0.996357 0.988590 14000
20.0 0.985630 0.899553 0.940626 3355
avg / total 0.981849 0.977643 0.979318 17355
Classification report for turbine 1, turbine category 13
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 0.960506 0.985928 0.973051 13715
20 0.984585 0.896655 0.938565 3348
avg / total 0.948990 0.952118 0.950026 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.957302 0.991556 0.974128 16461
20 0.982074 0.841470 0.906352 3646
avg / total 0.948026 0.950537 0.948070 20399
Classification report for turbine 2, turbine category 1
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 0.957153 0.997388 0.976856 16462
20 0.985516 0.877607 0.928437 3644
avg / total 0.948472 0.961665 0.954176 20399
Classification report for turbine 2, turbine category 2
precision recall f1-score support
19 0.973534 0.997313 0.985280 16745
20 0.986133 0.875753 0.927671 3654
avg / total 0.975791 0.975538 0.974960 20399
Classification report for turbine 2, turbine category 3
precision recall f1-score support
10 0.159972 0.825000 0.267981 280
11 0.003359 0.018868 0.005703 159
12 0.000000 0.000000 0.000000 144
13 0.007792 0.020833 0.011342 144
14 0.003247 0.006944 0.004425 144
15 0.008811 0.013889 0.010782 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 0.909962 0.865729 0.887295 15573
20 0.959935 0.347440 0.510213 3379
avg / total 0.856054 0.730232 0.765803 20399
Classification report for turbine 2, turbine category 4
precision recall f1-score support
10 0.666667 0.000816 0.001629 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 0.936011 0.996210 0.965173 16093
20 0.270454 0.685446 0.387868 1278
avg / total 0.835508 0.828962 0.785931 20399
Classification report for turbine 2, turbine category 5
precision recall f1-score support
10 1.000000 0.006061 0.012048 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 0.957199 0.996782 0.976589 16468
20 0.837662 0.878975 0.857821 3082
avg / total 0.915477 0.937595 0.918195 20399
Classification report for turbine 2, turbine category 6
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 0.945497 0.997172 0.970647 16266
20 0.925994 0.879871 0.902344 3413
avg / total 0.908862 0.942350 0.924959 20399
Classification report for turbine 2, turbine category 7
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 0.948899 0.995405 0.971596 16323
20 0.929830 0.859261 0.893154 3439
avg / total 0.916053 0.941370 0.928032 20399
Classification report for turbine 2, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.974183 0.966736 0.970445 16745
20.0 0.963265 0.387521 0.552693 3654
avg / total 0.972227 0.862983 0.895615 20399
Classification report for turbine 2, turbine category 9
precision recall f1-score support
19 0.973534 0.997313 0.985280 16745
20 0.986133 0.875753 0.927671 3654
avg / total 0.975791 0.975538 0.974960 20399
Classification report for turbine 2, turbine category 10
precision recall f1-score support
19 0.973534 0.997313 0.985280 16745
20 0.986133 0.875753 0.927671 3654
avg / total 0.975791 0.975538 0.974960 20399
Classification report for turbine 2, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 53
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 0.076923 0.003676 0.007018 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 0.854791 0.993800 0.919069 14678
20 0.950739 0.885321 0.916865 3488
avg / total 0.778652 0.866513 0.818179 20399
Classification report for turbine 2, turbine category 12
precision recall f1-score support
19 0.973534 0.997313 0.985280 16745
20 0.986133 0.875753 0.927671 3654
avg / total 0.975791 0.975538 0.974960 20399
Classification report for turbine 2, turbine category 13
precision recall f1-score support
19 0.973534 0.997313 0.985280 16745
20 0.986133 0.875753 0.927671 3654
avg / total 0.975791 0.975538 0.974960 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.943262 0.994701 0.968298 17549
20 0.915226 0.740189 0.818454 2217
avg / total 0.910944 0.936173 0.921966 20399
Classification report for turbine 2, turbine category 1
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 0.893296 0.994338 0.941113 16603
20 0.683121 0.769277 0.723644 1673
avg / total 0.783090 0.872396 0.825332 20399
Classification report for turbine 2, turbine category 2
precision recall f1-score support
19 0.972524 0.995579 0.983916 18096
20 0.957311 0.778984 0.858990 2303
avg / total 0.970806 0.971126 0.969812 20399
Classification report for turbine 2, turbine category 3
precision recall f1-score support
10 0.076720 0.150259 0.101576 193
11 0.000000 0.000000 0.000000 396
12 0.011494 0.002525 0.004141 396
13 0.000000 0.000000 0.000000 396
14 0.000000 0.000000 0.000000 375
15 0.083333 0.009259 0.016667 324
16 0.000000 0.000000 0.000000 296
17 0.000000 0.000000 0.000000 288
18 0.000000 0.000000 0.000000 288
19 0.840834 0.974248 0.902638 15649
20 0.723596 0.537264 0.616661 1798
avg / total 0.711093 0.796363 0.748114 20399
Classification report for turbine 2, turbine category 4
precision recall f1-score support
10 0.033898 0.013274 0.019078 452
11 0.000000 0.000000 0.000000 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 0.905405 0.992366 0.946893 16898
20 0.695493 0.647392 0.670581 1764
avg / total 0.810907 0.878327 0.842793 20399
Classification report for turbine 2, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.966643 0.989666 0.978019 18096
20.0 0.951266 0.652627 0.774144 2303
avg / total 0.964907 0.951615 0.955002 20399
Classification report for turbine 2, turbine category 6
precision recall f1-score support
10 0.058824 0.009294 0.016051 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 0.901740 0.993746 0.945510 16789
20 0.662577 0.723949 0.691904 1641
avg / total 0.797012 0.876366 0.834267 20399
Classification report for turbine 2, turbine category 7
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 0.955470 0.995053 0.974860 17790
20 0.787453 0.767123 0.777155 1898
avg / total 0.906535 0.939164 0.922487 20399
Classification report for turbine 2, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.972601 0.992595 0.982496 18096
20.0 0.956220 0.777681 0.857759 2303
avg / total 0.970752 0.968332 0.968414 20399
Classification report for turbine 2, turbine category 9
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 0.876113 0.995278 0.931902 16307
20 0.614728 0.787962 0.690647 1462
avg / total 0.744424 0.852101 0.794463 20399
Classification report for turbine 2, turbine category 10
precision recall f1-score support
19 0.972524 0.995579 0.983916 18096
20 0.957311 0.778984 0.858990 2303
avg / total 0.970806 0.971126 0.969812 20399
Classification report for turbine 2, turbine category 11
precision recall f1-score support
10 0.272727 0.120000 0.166667 25
11 0.196429 0.076389 0.110000 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 0.008753 0.027778 0.013311 144
17 0.000000 0.000000 0.000000 144
18 0.006920 0.013889 0.009238 144
19 0.919125 0.935873 0.927423 17013
20 0.910714 0.715708 0.801521 2209
avg / total 0.867334 0.859111 0.861568 20399
Classification report for turbine 2, turbine category 12
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
19 0.972524 0.995579 0.983916 18096
20 0.957311 0.778984 0.858990 2303
avg / total 0.970806 0.971126 0.969812 20399
Classification report for turbine 2, turbine category 13
precision recall f1-score support
19 0.972524 0.995579 0.983916 18096
20 0.957311 0.778984 0.858990 2303
avg / total 0.970806 0.971126 0.969812 20399
------------------------------------------------------------------------
Classification report for turbine 2, turbine category 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 0.925060 0.981677 0.952528 15718
20 0.913966 0.918444 0.916200 3470
avg / total 0.868256 0.912643 0.889801 20399
Classification report for turbine 2, turbine category 1
precision recall f1-score support
10 0.011628 0.150000 0.021583 20
11 0.038710 0.166667 0.062827 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 0.988365 0.971990 0.980109 16780
20 0.854642 0.825732 0.839939 3311
avg / total 0.951817 0.934016 0.942692 20399
Classification report for turbine 2, turbine category 2
precision recall f1-score support
19 0.988682 0.988976 0.988829 16782
20 0.948782 0.947470 0.948126 3617
avg / total 0.981607 0.981617 0.981612 20399
Classification report for turbine 2, turbine category 3
precision recall f1-score support
10 0.537349 0.356230 0.428434 626
11 0.017857 0.003591 0.005979 557
12 0.043478 0.006369 0.011111 471
13 0.040000 0.004376 0.007890 457
14 0.004975 0.002545 0.003367 393
15 0.000000 0.000000 0.000000 360
16 0.000000 0.000000 0.000000 329
17 0.000000 0.000000 0.000000 307
18 0.053333 0.013889 0.022039 288
19 0.829106 0.963697 0.891349 14076
20 0.698343 0.814596 0.752003 2535
avg / total 0.678621 0.777734 0.722633 20399
Classification report for turbine 2, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.988695 0.984924 0.986806 16782
20.0 0.947197 0.882776 0.913852 3617
avg / total 0.981337 0.966812 0.973870 20399
Classification report for turbine 2, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.988556 0.988261 0.988408 16782
20.0 0.948971 0.930605 0.939698 3617
avg / total 0.981537 0.978038 0.979772 20399
Classification report for turbine 2, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988299 0.986474 0.987386 16782
20.0 0.947623 0.920376 0.933801 3617
avg / total 0.981087 0.974754 0.977884 20399
Classification report for turbine 2, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988491 0.987785 0.988138 16782
20.0 0.940968 0.806469 0.868543 3617
avg / total 0.980065 0.955635 0.966932 20399
Classification report for turbine 2, turbine category 8
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 0.971087 0.985869 0.978422 16489
20 0.948668 0.945781 0.947223 3615
avg / total 0.953071 0.964508 0.958744 20399
Classification report for turbine 2, turbine category 9
precision recall f1-score support
10 0.152866 0.151420 0.152139 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 0.000000 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 0.941556 0.984181 0.962397 15993
20 0.849097 0.861223 0.855117 3221
avg / total 0.874637 0.909947 0.891915 20399
Classification report for turbine 2, turbine category 10
precision recall f1-score support
19 0.988682 0.988976 0.988829 16782
20 0.948782 0.947470 0.948126 3617
avg / total 0.981607 0.981617 0.981612 20399
Classification report for turbine 2, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.043478 0.027778 0.033898 108
12 0.100000 0.018519 0.031250 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 0.940205 0.979036 0.959228 15932
20 0.938776 0.911272 0.924819 3584
avg / total 0.900015 0.924996 0.912006 20399
Classification report for turbine 2, turbine category 12
precision recall f1-score support
19 0.988682 0.988976 0.988829 16782
20 0.948782 0.947470 0.948126 3617
avg / total 0.981607 0.981617 0.981612 20399
Classification report for turbine 2, turbine category 13
precision recall f1-score support
19 0.988682 0.988976 0.988829 16782
20 0.948782 0.947470 0.948126 3617
avg / total 0.981607 0.981617 0.981612 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 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 0.000000 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 0.949810 0.990880 0.969910 16119
20 0.970520 0.860143 0.912004 3904
avg / total 0.936266 0.947595 0.940951 20399
Classification report for turbine 2, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.969174 0.989008 0.978991 16467
20.0 0.975603 0.864446 0.916667 3932
avg / total 0.970413 0.964998 0.966977 20399
Classification report for turbine 2, turbine category 2
precision recall f1-score support
19 0.968558 0.995203 0.981699 16467
20 0.977292 0.864700 0.917555 3932
avg / total 0.970242 0.970048 0.969335 20399
Classification report for turbine 2, turbine category 3
precision recall f1-score support
10 0.280844 0.424020 0.337891 408
11 0.000000 0.000000 0.000000 397
12 0.010417 0.002525 0.004065 396
13 0.000000 0.000000 0.000000 396
14 0.039216 0.005155 0.009112 388
15 0.026316 0.003322 0.005900 301
16 0.000000 0.000000 0.000000 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 229
19 0.831935 0.971467 0.896303 14089
20 0.818429 0.731389 0.772465 3291
avg / total 0.713586 0.797637 0.750771 20399
Classification report for turbine 2, turbine category 4
precision recall f1-score support
10 0.005296 0.025751 0.008785 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 0.948788 0.988548 0.968260 16155
20 0.833895 0.578194 0.682893 3421
avg / total 0.891302 0.880141 0.881439 20399
Classification report for turbine 2, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.968270 0.995142 0.981522 16467
20.0 0.975870 0.812564 0.886761 3932
avg / total 0.969735 0.959949 0.963256 20399
Classification report for turbine 2, turbine category 6
precision recall f1-score support
10 0.022989 0.230769 0.041812 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 0.952212 0.994011 0.972663 16197
20 0.880639 0.780833 0.827739 3600
avg / total 0.911509 0.927349 0.918435 20399
Classification report for turbine 2, turbine category 7
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
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 0.000000 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 0.952494 0.994073 0.972839 16196
20 0.966112 0.850785 0.904788 3887
avg / total 0.940333 0.951370 0.944802 20399
Classification report for turbine 2, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 623
11 0.400000 0.005063 0.010000 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 0.880679 0.992304 0.933166 14943
20 0.742321 0.866822 0.799755 3011
avg / total 0.762445 0.854944 0.801819 20399
Classification report for turbine 2, turbine category 9
precision recall f1-score support
10 0.151832 0.090343 0.113281 321
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.111111 0.006944 0.013072 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 0.911952 0.988840 0.948841 15502
20 0.877396 0.812852 0.843892 3548
avg / total 0.848807 0.894309 0.869714 20399
Classification report for turbine 2, turbine category 10
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 0.967730 0.995259 0.981302 16452
20 0.895085 0.854790 0.874473 3643
avg / total 0.940335 0.955341 0.947600 20399
Classification report for turbine 2, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.017857 0.018519 0.018182 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 0.925734 0.980902 0.952520 15656
20 0.951879 0.865838 0.906822 3861
avg / total 0.890751 0.916810 0.902782 20399
Classification report for turbine 2, turbine category 12
precision recall f1-score support
19 0.968558 0.995203 0.981699 16467
20 0.977292 0.864700 0.917555 3932
avg / total 0.970242 0.970048 0.969335 20399
Classification report for turbine 2, turbine category 13
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 0.951418 0.995117 0.972777 16177
20 0.971256 0.863973 0.914479 3911
avg / total 0.940717 0.954802 0.946769 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.965822 0.985970 0.975792 13614
20 0.963733 0.950069 0.956852 6489
avg / total 0.951143 0.960243 0.955608 20399
Classification report for turbine 2, turbine category 1
precision recall f1-score support
10 0.076923 0.023256 0.035714 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 0.950750 0.988652 0.969331 13395
20 0.943527 0.945758 0.944641 6342
avg / total 0.917975 0.943331 0.930348 20399
Classification report for turbine 2, turbine category 2
precision recall f1-score support
19 0.980714 0.989296 0.984986 13827
20 0.977058 0.959069 0.967980 6572
avg / total 0.979536 0.979558 0.979507 20399
Classification report for turbine 2, turbine category 3
precision recall f1-score support
10 0.049822 0.528302 0.091057 53
11 0.000000 0.000000 0.000000 72
12 0.000000 0.000000 0.000000 72
13 0.043478 0.013889 0.021053 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 0.962674 0.976196 0.969388 13527
20 0.927956 0.862406 0.893981 6243
avg / total 0.922648 0.912692 0.916730 20399
Classification report for turbine 2, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.980547 0.987922 0.984221 13827
20.0 0.976973 0.936093 0.956096 6572
avg / total 0.979396 0.971224 0.975160 20399
Classification report for turbine 2, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.980638 0.989007 0.984805 13827
20.0 0.976972 0.955417 0.966074 6572
avg / total 0.979457 0.978185 0.978770 20399
Classification report for turbine 2, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 144
12 0.571429 0.027778 0.052980 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 0.915346 0.984197 0.948524 12909
20 0.941269 0.948118 0.944681 6322
avg / total 0.875003 0.916859 0.893396 20399
Classification report for turbine 2, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.980702 0.988645 0.984657 13827
20.0 0.976933 0.953743 0.965199 6572
avg / total 0.979487 0.977401 0.978388 20399
Classification report for turbine 2, turbine category 8
precision recall f1-score support
10 0.812500 0.015644 0.030697 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 0.807402 0.985699 0.887686 11398
20 0.829731 0.959195 0.889778 5563
avg / total 0.710513 0.812981 0.739899 20399
Classification report for turbine 2, turbine category 9
precision recall f1-score support
10 0.807370 0.111162 0.195419 4336
11 0.024390 0.001555 0.002924 643
12 0.000000 0.000000 0.000000 540
13 0.000000 0.000000 0.000000 502
14 0.117647 0.004630 0.008909 432
15 0.000000 0.000000 0.000000 432
16 0.000000 0.000000 0.000000 432
17 0.000000 0.000000 0.000000 406
18 0.000000 0.000000 0.000000 377
19 0.760171 0.986703 0.858749 10604
20 0.246973 0.854277 0.383170 1695
avg / total 0.590555 0.607677 0.520060 20399
Classification report for turbine 2, turbine category 10
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
19.0 0.980573 0.989296 0.984916 13827
20.0 0.977044 0.958460 0.967663 6572
avg / total 0.979436 0.979362 0.979357 20399
Classification report for turbine 2, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.100000 0.013889 0.024390 72
12 0.083333 0.013889 0.023810 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 0.017241 0.013889 0.015385 72
16 0.050000 0.013889 0.021739 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.947018 0.984373 0.965334 13310
20 0.968857 0.957084 0.962934 6501
avg / total 0.927565 0.947497 0.937045 20399
Classification report for turbine 2, turbine category 12
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
19 0.980714 0.989296 0.984986 13827
20 0.977058 0.959069 0.967980 6572
avg / total 0.979536 0.979558 0.979507 20399
Classification report for turbine 2, turbine category 13
precision recall f1-score support
10 0.500000 0.017857 0.034483 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 0.000000 0.000000 0.000000 72
19 0.941328 0.988774 0.964468 13273
20 0.952086 0.960125 0.956088 6395
avg / total 0.912341 0.944409 0.927374 20399
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 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 0.945962 0.984531 0.964861 16678
20 0.924653 0.928669 0.926657 4374
avg / total 0.911277 0.941658 0.926171 21751
Classification report for turbine 3, turbine category 1
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 0.910934 0.983945 0.946033 16070
20 0.893467 0.930315 0.911519 4219
avg / total 0.846318 0.907407 0.875751 21751
Classification report for turbine 3, turbine category 2
precision recall f1-score support
19 0.981910 0.984918 0.983412 17305
20 0.940587 0.929375 0.934947 4446
avg / total 0.973464 0.973564 0.973505 21751
Classification report for turbine 3, turbine category 3
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 0.025000 0.013889 0.017857 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 0.951140 0.980135 0.965420 16763
20 0.918697 0.927570 0.923112 4349
avg / total 0.916794 0.940876 0.928658 21751
Classification report for turbine 3, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.982032 0.972782 0.977386 17305
20.0 0.942871 0.876068 0.908243 4446
avg / total 0.974028 0.953014 0.963253 21751
Classification report for turbine 3, turbine category 5
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 0.956839 0.982067 0.969288 16840
20 0.834500 0.926780 0.878223 3988
avg / total 0.893805 0.930256 0.911460 21751
Classification report for turbine 3, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 92
11 0.000000 0.000000 0.000000 606
12 0.000000 0.000000 0.000000 540
13 0.000000 0.000000 0.000000 536
14 0.013514 0.002179 0.003752 459
15 0.000000 0.000000 0.000000 405
16 0.000000 0.000000 0.000000 396
17 0.000000 0.000000 0.000000 385
18 0.000000 0.000000 0.000000 319
19 0.835138 0.960677 0.893519 14775
20 0.676026 0.884805 0.766453 3238
avg / total 0.668215 0.784332 0.721127 21751
Classification report for turbine 3, turbine category 7
precision recall f1-score support
10 0.000000 0.000000 0.000000 142
11 0.000000 0.000000 0.000000 216
12 0.031250 0.004630 0.008065 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 0.033333 0.011111 0.016667 180
18 0.090909 0.005556 0.010471 180
19 0.896055 0.971755 0.932371 15826
20 0.867953 0.847212 0.857457 4143
avg / total 0.818630 0.868604 0.842020 21751
Classification report for turbine 3, turbine category 8
precision recall f1-score support
10 0.717323 0.820901 0.765625 2507
11 0.129256 0.395278 0.194809 1652
12 0.065233 0.160035 0.092685 1156
13 0.043053 0.085382 0.057242 773
14 0.012467 0.033275 0.018138 571
15 0.006349 0.014888 0.008902 403
16 0.011905 0.015823 0.013587 316
17 0.020408 0.020492 0.020450 244
18 0.003632 0.013889 0.005758 216
19 0.709001 0.296640 0.418276 12082
20 0.477578 0.116330 0.187088 1831
avg / total 0.532405 0.312491 0.359215 21751
Classification report for turbine 3, turbine category 9
precision recall f1-score support
19 0.981910 0.984918 0.983412 17305
20 0.940587 0.929375 0.934947 4446
avg / total 0.973464 0.973564 0.973505 21751
Classification report for turbine 3, turbine category 10
precision recall f1-score support
19 0.981910 0.984918 0.983412 17305
20 0.940587 0.929375 0.934947 4446
avg / total 0.973464 0.973564 0.973505 21751
Classification report for turbine 3, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 54
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 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 0.866682 0.985032 0.922075 15232
20 0.830559 0.931458 0.878119 3910
avg / total 0.756231 0.857248 0.803572 21751
Classification report for turbine 3, turbine category 12
precision recall f1-score support
19 0.981910 0.984918 0.983412 17305
20 0.940587 0.929375 0.934947 4446
avg / total 0.973464 0.973564 0.973505 21751
Classification report for turbine 3, turbine category 13
precision recall f1-score support
19 0.981910 0.984918 0.983412 17305
20 0.940587 0.929375 0.934947 4446
avg / total 0.973464 0.973564 0.973505 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.000000 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 0.974821 0.983410 0.979097 18385
20 0.911218 0.936121 0.923502 3037
avg / total 0.951195 0.961933 0.956525 21751
Classification report for turbine 3, turbine category 1
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 0.978828 0.963619 0.971164 18471
20 0.902439 0.941413 0.921514 2987
avg / total 0.955152 0.947589 0.951263 21751
Classification report for turbine 3, turbine category 2
precision recall f1-score support
19 0.989905 0.987731 0.988817 18665
20 0.926767 0.939080 0.932883 3086
avg / total 0.980947 0.980828 0.980881 21751
Classification report for turbine 3, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989866 0.978570 0.984185 18665
20.0 0.926353 0.937459 0.931873 3086
avg / total 0.980855 0.972737 0.976763 21751
Classification report for turbine 3, turbine category 4
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 0.959275 0.985247 0.972087 18098
20 0.908765 0.921070 0.914876 3028
avg / total 0.924679 0.948002 0.936191 21751
Classification report for turbine 3, turbine category 5
precision recall f1-score support
10 0.789474 0.168539 0.277778 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 0.971261 0.978477 0.974856 18306
20 0.905776 0.943847 0.924420 2974
avg / total 0.947736 0.953933 0.949123 21751
Classification report for turbine 3, turbine category 6
precision recall f1-score support
10 0.033333 0.250000 0.058824 4
11 0.041667 0.055556 0.047619 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 0.983359 0.985323 0.984340 18532
20 0.870178 0.886232 0.878131 2927
avg / total 0.955003 0.958898 0.956923 21751
Classification report for turbine 3, turbine category 7
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 0.978790 0.966762 0.972739 18473
20 0.899934 0.909883 0.904881 2985
avg / total 0.954783 0.945934 0.950323 21751
Classification report for turbine 3, turbine category 8
precision recall f1-score support
10 0.038972 0.602564 0.073209 78
11 0.004425 0.003472 0.003891 288
12 0.000000 0.000000 0.000000 288
13 0.003390 0.003690 0.003534 271
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 0.034483 0.007937 0.012903 252
18 0.000000 0.000000 0.000000 252
19 0.899426 0.942973 0.920685 16957
20 0.833333 0.423534 0.561626 2609
avg / total 0.801787 0.788286 0.785637 21751
Classification report for turbine 3, turbine category 9
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 0.843374 0.987117 0.909602 15912
20 0.461145 0.901250 0.610112 1600
avg / total 0.650894 0.788424 0.710301 21751
Classification report for turbine 3, turbine category 10
precision recall f1-score support
19 0.989905 0.987731 0.988817 18665
20 0.926767 0.939080 0.932883 3086
avg / total 0.980947 0.980828 0.980881 21751
Classification report for turbine 3, turbine category 11
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10 0.000000 0.000000 0.000000 6
11 0.000000 0.000000 0.000000 36
12 0.046512 0.055556 0.050633 36
13 0.000000 0.000000 0.000000 36
14 0.000000 0.000000 0.000000 36
15 0.009804 0.083333 0.017544 36
16 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.055556 0.055556 0.055556 36
19 0.975093 0.952070 0.963444 18381
20 0.923303 0.919701 0.921498 3076
avg / total 0.954774 0.934946 0.944695 21751
Classification report for turbine 3, turbine category 12
precision recall f1-score support
19 0.989905 0.987731 0.988817 18665
20 0.926767 0.939080 0.932883 3086
avg / total 0.980947 0.980828 0.980881 21751
Classification report for turbine 3, turbine category 13
precision recall f1-score support
19 0.989905 0.987731 0.988817 18665
20 0.926767 0.939080 0.932883 3086
avg / total 0.980947 0.980828 0.980881 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.979761 0.979147 0.979454 15969
20.0 0.950052 0.944137 0.947085 5782
avg / total 0.971863 0.969840 0.970849 21751
Classification report for turbine 3, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.979572 0.969942 0.974733 15969
20.0 0.949284 0.929090 0.939079 5782
avg / total 0.971521 0.959082 0.965255 21751
Classification report for turbine 3, turbine category 2
precision recall f1-score support
19 0.979761 0.982216 0.980987 15969
20 0.950540 0.943964 0.947241 5782
avg / total 0.971994 0.972047 0.972016 21751
Classification report for turbine 3, turbine category 3
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 0.962527 0.973564 0.968014 15698
20 0.947129 0.939562 0.943330 5758
avg / total 0.945396 0.951359 0.948351 21751
Classification report for turbine 3, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.979608 0.980713 0.980160 15969
20.0 0.950405 0.934625 0.942449 5782
avg / total 0.971845 0.968461 0.970135 21751
Classification report for turbine 3, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.980622 0.976016 0.978313 15969
20.0 0.938471 0.762366 0.841302 5782
avg / total 0.969417 0.919222 0.941892 21751
Classification report for turbine 3, turbine category 6
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 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 0.936357 0.980197 0.957775 15250
20 0.941846 0.937903 0.939871 5733
avg / total 0.904742 0.934440 0.919238 21751
Classification report for turbine 3, turbine category 7
precision recall f1-score support
10 0.165049 0.087179 0.114094 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 0.942918 0.977818 0.960051 15373
20 0.905417 0.921565 0.913420 5495
avg / total 0.896645 0.924693 0.910319 21751
Classification report for turbine 3, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 9
11 0.014388 0.027778 0.018957 72
12 0.000000 0.000000 0.000000 72
13 0.000000 0.000000 0.000000 72
14 0.015625 0.013889 0.014706 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 0.946647 0.959366 0.952964 15406
20 0.946875 0.683854 0.794153 5760
avg / total 0.921346 0.860742 0.885390 21751
Classification report for turbine 3, turbine category 9
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.961521 0.969635 0.965561 15643
20 0.791353 0.929100 0.854712 4866
avg / total 0.868549 0.905200 0.885628 21751
Classification report for turbine 3, turbine category 10
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
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 0.970704 0.982363 0.976499 15819
20 0.918147 0.944972 0.931366 5579
avg / total 0.941470 0.956830 0.949075 21751
Classification report for turbine 3, turbine category 11
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 0.333333 0.009259 0.018018 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 0.931186 0.979009 0.954499 15149
20 0.939317 0.909584 0.924211 5718
avg / total 0.897134 0.921015 0.907834 21751
Classification report for turbine 3, turbine category 12
precision recall f1-score support
19 0.979761 0.982216 0.980987 15969
20 0.950540 0.943964 0.947241 5782
avg / total 0.971994 0.972047 0.972016 21751
Classification report for turbine 3, turbine category 13
precision recall f1-score support
19 0.979761 0.982216 0.980987 15969
20 0.950540 0.943964 0.947241 5782
avg / total 0.971994 0.972047 0.972016 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 0
precision recall f1-score support
10 1.000000 0.019608 0.038462 51
11 0.000000 0.000000 0.000000 72
12 0.400000 0.027778 0.051948 72
13 0.000000 0.000000 0.000000 72
14 0.000000 0.000000 0.000000 72
15 1.000000 0.013889 0.027397 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 0.968316 0.992682 0.980348 19950
20 0.843091 0.919932 0.879837 1174
avg / total 0.940623 0.960324 0.947016 21751
Classification report for turbine 3, turbine category 1
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.995303 0.992051 0.993675 20507
20.0 0.889147 0.922026 0.905288 1244
avg / total 0.989232 0.988047 0.988620 21751
Classification report for turbine 3, turbine category 2
precision recall f1-score support
19 0.995116 0.993514 0.994314 20507
20 0.895850 0.919614 0.907576 1244
avg / total 0.989438 0.989288 0.989354 21751
Classification report for turbine 3, turbine category 3
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 0.983025 0.991905 0.987445 20259
20 0.854430 0.906801 0.879837 1191
avg / total 0.962380 0.973518 0.967888 21751
Classification report for turbine 3, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.995065 0.992978 0.994020 20507
20.0 0.892601 0.901929 0.897241 1244
avg / total 0.989204 0.987771 0.988485 21751
Classification report for turbine 3, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.995644 0.992003 0.993820 20507
20.0 0.887172 0.922830 0.904649 1244
avg / total 0.989440 0.988047 0.988720 21751
Classification report for turbine 3, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 23
11 0.000000 0.000000 0.000000 72
12 0.300000 0.041667 0.073171 72
13 0.000000 0.000000 0.000000 87
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 0.958078 0.990983 0.974253 19741
20 0.864501 0.897204 0.880549 1216
avg / total 0.918866 0.949703 0.933692 21751
Classification report for turbine 3, turbine category 7
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 0.955758 0.989539 0.972355 19692
20 0.834646 0.897544 0.864953 1181
avg / total 0.910602 0.944600 0.927274 21751
Classification report for turbine 3, turbine category 8
precision recall f1-score support
10 0.759857 0.549223 0.637594 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 0.939153 0.982397 0.960289 19372
20 0.699677 0.740319 0.719424 878
avg / total 0.878162 0.914579 0.895613 21751
Classification report for turbine 3, turbine category 9
precision recall f1-score support
10 0.000000 0.000000 0.000000 56
11 0.000000 0.000000 0.000000 72
12 0.095238 0.027778 0.043011 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 0.200000 0.009259 0.017699 108
18 0.000000 0.000000 0.000000 108
19 0.957755 0.989406 0.973323 19729
20 0.846032 0.891304 0.868078 1196
avg / total 0.916549 0.946577 0.930804 21751
Classification report for turbine 3, turbine category 10
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.995210 0.992978 0.994093 20507
20.0 0.893219 0.921222 0.907004 1244
avg / total 0.989377 0.988874 0.989112 21751
Classification report for turbine 3, turbine category 11
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 0.981741 0.989023 0.985369 20224
20 0.881026 0.919643 0.899921 1232
avg / total 0.962722 0.971679 0.967165 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 12
precision recall f1-score support
19 0.995116 0.993514 0.994314 20507
20 0.895850 0.919614 0.907576 1244
avg / total 0.989438 0.989288 0.989354 21751
Classification report for turbine 3, turbine category 13
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 0.981538 0.993573 0.987518 20226
20 0.877056 0.918786 0.897436 1219
avg / total 0.961873 0.975403 0.968577 21751
------------------------------------------------------------------------
Classification report for turbine 3, turbine category 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.990495 0.996760 0.993618 19446
20.0 0.974241 0.918872 0.945747 2305
avg / total 0.988773 0.988506 0.988545 21751
Classification report for turbine 3, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.990443 0.996555 0.993489 19446
20.0 0.973161 0.912364 0.941782 2305
avg / total 0.988611 0.987633 0.988010 21751
Classification report for turbine 3, turbine category 2
precision recall f1-score support
19 0.990397 0.997120 0.993747 19446
20 0.974229 0.918438 0.945511 2305
avg / total 0.988684 0.988782 0.988636 21751
Classification report for turbine 3, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990485 0.995732 0.993102 19446
20.0 0.973672 0.914534 0.943177 2305
avg / total 0.988704 0.987127 0.987811 21751
Classification report for turbine 3, turbine category 4
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 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 0.946823 0.996881 0.971207 18593
20 0.944726 0.916853 0.930581 2237
avg / total 0.906516 0.946439 0.925905 21751
Classification report for turbine 3, turbine category 5
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 0.984463 0.996534 0.990461 19329
20 0.890826 0.916038 0.903256 2120
avg / total 0.961668 0.974852 0.968210 21751
Classification report for turbine 3, turbine category 6
precision recall f1-score support
10 0.250000 0.007194 0.013986 139
11 0.034483 0.004630 0.008163 216
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 201
14 0.035294 0.037500 0.036364 160
15 0.037736 0.013889 0.020305 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.090909 0.027778 0.042553 144
19 0.923025 0.978101 0.949765 18083
20 0.908126 0.910648 0.909385 2160
avg / total 0.860603 0.904234 0.880762 21751
Classification report for turbine 3, turbine category 7
precision recall f1-score support
10 0.022727 0.009346 0.013245 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 0.966923 0.994942 0.980732 18980
20 0.879044 0.897989 0.888415 2088
avg / total 0.928236 0.954439 0.941140 21751
Classification report for turbine 3, turbine category 8
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 0.976571 0.989409 0.982948 19168
20 0.953924 0.578350 0.720109 2291
avg / total 0.961075 0.932831 0.942068 21751
Classification report for turbine 3, turbine category 9
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
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 0.000000 0.000000 0.000000 130
14 0.006494 0.009259 0.007634 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 0.020408 0.009259 0.012739 108
19 0.943240 0.977477 0.960053 18514
20 0.952312 0.875166 0.912111 2259
avg / total 0.901904 0.922992 0.912008 21751
Classification report for turbine 3, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.990194 0.996966 0.993568 19446
20.0 0.974182 0.916703 0.944569 2305
avg / total 0.988497 0.988460 0.988376 21751
Classification report for turbine 3, turbine category 11
precision recall f1-score support
10 1.000000 0.166667 0.285714 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 0.976079 0.994624 0.985264 19159
20 0.967308 0.875544 0.919141 2298
avg / total 0.962235 0.968645 0.965040 21751
Classification report for turbine 3, turbine category 12
precision recall f1-score support
19 0.990397 0.997120 0.993747 19446
20 0.974229 0.918438 0.945511 2305
avg / total 0.988684 0.988782 0.988636 21751
Classification report for turbine 3, turbine category 13
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 0.970624 0.996956 0.983614 19057
20 0.950805 0.917073 0.933634 2255
avg / total 0.948979 0.968553 0.958580 21751
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 0
precision recall f1-score support
10 0.000000 0.000000 0.000000 50
11 0.026667 0.055556 0.036036 36
12 0.000000 0.000000 0.000000 36
13 0.016393 0.055556 0.025316 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 0.970936 0.891761 0.929666 17794
20 0.893741 0.879792 0.886712 3652
avg / total 0.943000 0.876102 0.908141 21784
Classification report for turbine 4, turbine category 1
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 0.943447 0.985706 0.964114 17280
20 0.888472 0.913955 0.901033 3626
avg / total 0.896271 0.934034 0.914756 21784
Classification report for turbine 4, turbine category 2
precision recall f1-score support
19 0.982331 0.985442 0.983884 17997
20 0.929759 0.915764 0.922709 3787
avg / total 0.973191 0.973329 0.973249 21784
Classification report for turbine 4, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 5
19.0 0.980844 0.913517 0.945984 17992
20.0 0.929132 0.907050 0.917958 3787
avg / total 0.971629 0.912183 0.940895 21784
Classification report for turbine 4, turbine category 4
precision recall f1-score support
19 0.982331 0.985442 0.983884 17997
20 0.929759 0.915764 0.922709 3787
avg / total 0.973191 0.973329 0.973249 21784
Classification report for turbine 4, turbine category 5
precision recall f1-score support
10 0.008475 0.013889 0.010526 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 0.930952 0.977437 0.953628 17063
20 0.821199 0.876190 0.847804 3360
avg / total 0.855888 0.900799 0.877760 21784
Classification report for turbine 4, turbine category 6
precision recall f1-score support
10 0.200185 0.435484 0.274286 496
11 0.030488 0.011136 0.016313 449
12 0.005988 0.002703 0.003724 370
13 0.000000 0.000000 0.000000 307
14 0.000000 0.000000 0.000000 252
15 0.044444 0.007937 0.013468 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 0.876744 0.962139 0.917459 16006
20 0.725279 0.648881 0.684956 2905
avg / total 0.746717 0.803755 0.772254 21784
Classification report for turbine 4, turbine category 7
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 0.955688 0.986168 0.970689 17496
20 0.906702 0.915539 0.911099 3694
avg / total 0.921322 0.947301 0.934116 21784
Classification report for turbine 4, turbine category 8
precision recall f1-score support
10 0.323096 0.254106 0.284478 1035
11 0.024390 0.007911 0.011947 632
12 0.008547 0.002049 0.003306 488
13 0.023256 0.008547 0.012500 468
14 0.024631 0.011236 0.015432 445
15 0.010989 0.002315 0.003824 432
16 0.080460 0.016204 0.026975 432
17 0.037736 0.004630 0.008247 432
18 0.019802 0.004630 0.007505 432
19 0.811702 0.934150 0.868632 14776
20 0.545300 0.723779 0.621989 2212
avg / total 0.626153 0.720437 0.667792 21784
Classification report for turbine 4, turbine category 9
precision recall f1-score support
10 0.166667 0.004878 0.009479 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 0.949695 0.984889 0.966972 17405
20 0.798865 0.897086 0.845131 3294
avg / total 0.881155 0.922604 0.900475 21784
Classification report for turbine 4, turbine category 10
precision recall f1-score support
19 0.982331 0.985442 0.983884 17997
20 0.929759 0.915764 0.922709 3787
avg / total 0.973191 0.973329 0.973249 21784
Classification report for turbine 4, turbine category 11
precision recall f1-score support
10 1.000000 0.035088 0.067797 57
11 0.170732 0.021605 0.038356 324
12 0.000000 0.000000 0.000000 324
13 0.000000 0.000000 0.000000 324
14 0.027778 0.003086 0.005556 324
15 0.131868 0.037037 0.057831 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 0.864608 0.974019 0.916058 15781
20 0.841480 0.917820 0.877994 3395
avg / total 0.765022 0.849660 0.802145 21784
Classification report for turbine 4, turbine category 12
precision recall f1-score support
19 0.982331 0.985442 0.983884 17997
20 0.929759 0.915764 0.922709 3787
avg / total 0.973191 0.973329 0.973249 21784
Classification report for turbine 4, turbine category 13
precision recall f1-score support
19 0.982331 0.985442 0.983884 17997
20 0.929759 0.915764 0.922709 3787
avg / total 0.973191 0.973329 0.973249 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10 0.006711 0.037037 0.011364 27
11 0.076923 0.012422 0.021390 161
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 0.916208 0.967184 0.941006 14109
20 0.931769 0.937953 0.934851 6479
avg / total 0.871111 0.905527 0.887684 21784
Classification report for turbine 4, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.982755 0.972614 0.977658 15117
20.0 0.946038 0.959802 0.952870 6667
avg / total 0.971518 0.968693 0.970072 21784
Classification report for turbine 4, turbine category 2
precision recall f1-score support
19 0.981912 0.976781 0.979340 15117
20 0.947969 0.959202 0.953553 6667
avg / total 0.971524 0.971401 0.971448 21784
Classification report for turbine 4, turbine category 3
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 0.962797 0.971820 0.967287 14833
20 0.939641 0.883886 0.910911 6640
avg / total 0.941994 0.931142 0.936294 21784
Classification report for turbine 4, turbine category 4
precision recall f1-score support
19 0.981912 0.976781 0.979340 15117
20 0.947969 0.959202 0.953553 6667
avg / total 0.971524 0.971401 0.971448 21784
Classification report for turbine 4, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.982520 0.970431 0.976438 15117
20.0 0.947589 0.949153 0.948370 6667
avg / total 0.971829 0.963918 0.967848 21784
Classification report for turbine 4, turbine category 6
precision recall f1-score support
10 0.006494 0.176471 0.012526 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 0.962769 0.955177 0.958958 14836
20 0.894408 0.878363 0.886313 6355
avg / total 0.916623 0.906904 0.911671 21784
Classification report for turbine 4, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.982183 0.973672 0.977909 15117
20.0 0.946971 0.958902 0.952899 6667
avg / total 0.971407 0.969152 0.970255 21784
Classification report for turbine 4, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984430 0.924324 0.953430 15117
20.0 0.936249 0.645418 0.764095 6667
avg / total 0.969684 0.838964 0.895484 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
precision recall f1-score support
10 0.920000 0.004457 0.008872 5160
11 0.076923 0.004525 0.008547 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 0.886925 0.980457 0.931349 13560
20 0.205917 0.880483 0.333775 1573
avg / total 0.785659 0.674991 0.606031 21784
Classification report for turbine 4, turbine category 10
precision recall f1-score support
19 0.981912 0.976781 0.979340 15117
20 0.947969 0.959202 0.953553 6667
avg / total 0.971524 0.971401 0.971448 21784
Classification report for turbine 4, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 7
11 0.013333 0.027778 0.018018 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 0.969560 0.963706 0.966624 14906
20 0.932349 0.939997 0.936157 6583
avg / total 0.945207 0.943537 0.944357 21784
Classification report for turbine 4, turbine category 12
precision recall f1-score support
19 0.981912 0.976781 0.979340 15117
20 0.947969 0.959202 0.953553 6667
avg / total 0.971524 0.971401 0.971448 21784
Classification report for turbine 4, turbine category 13
precision recall f1-score support
19 0.981912 0.976781 0.979340 15117
20 0.947969 0.959202 0.953553 6667
avg / total 0.971524 0.971401 0.971448 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 0
precision recall f1-score support
10 0.000000 0.000000 0.000000 235
11 0.046358 0.064815 0.054054 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 108
14 0.004785 0.009259 0.006309 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 0.023810 0.009259 0.013333 108
19 0.950139 0.964856 0.957441 17044
20 0.884264 0.904422 0.894229 3641
avg / total 0.891566 0.906491 0.898938 21784
Classification report for turbine 4, turbine category 1
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 1.000000 0.083333 0.153846 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 0.974672 0.989927 0.982240 17571
20 0.943083 0.942362 0.942722 3921
avg / total 0.957574 0.968234 0.962215 21784
Classification report for turbine 4, turbine category 2
precision recall f1-score support
19 0.987015 0.991232 0.989119 17791
20 0.960174 0.941898 0.950948 3993
avg / total 0.982095 0.982189 0.982122 21784
Classification report for turbine 4, turbine category 3
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 0.972161 0.988359 0.980194 17525
20 0.955197 0.940509 0.947796 3967
avg / total 0.956041 0.966397 0.961155 21784
Classification report for turbine 4, turbine category 4
precision recall f1-score support
19 0.987015 0.991232 0.989119 17791
20 0.960174 0.941898 0.950948 3993
avg / total 0.982095 0.982189 0.982122 21784
Classification report for turbine 4, turbine category 5
precision recall f1-score support
10 0.200000 0.068966 0.102564 29
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 0.955584 0.988556 0.971791 17215
20 0.954557 0.937941 0.946176 3964
avg / total 0.929124 0.951983 0.940277 21784
Classification report for turbine 4, turbine category 6
precision recall f1-score support
10 0.211457 0.934375 0.344867 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 0.000000 0.000000 0.000000 93
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.958964 0.945724 0.952298 16803
20 0.932199 0.888517 0.909834 3884
avg / total 0.909007 0.901625 0.901837 21784
Classification report for turbine 4, turbine category 7
precision recall f1-score support
10 0.500000 0.003876 0.007692 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 0.890351 0.990037 0.937552 16059
20 0.884095 0.946175 0.914082 3660
avg / total 0.810822 0.888863 0.844825 21784
Classification report for turbine 4, turbine category 8
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 0.976360 0.982904 0.979621 17606
20 0.908317 0.871019 0.889277 3799
avg / total 0.947507 0.946291 0.946822 21784
Classification report for turbine 4, turbine category 9
precision recall f1-score support
10 0.037480 0.566929 0.070312 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 0.948098 0.981140 0.964336 17073
20 0.852204 0.459233 0.596842 3704
avg / total 0.888184 0.850349 0.857682 21784
Classification report for turbine 4, turbine category 10
precision recall f1-score support
19 0.987015 0.991232 0.989119 17791
20 0.960174 0.941898 0.950948 3993
avg / total 0.982095 0.982189 0.982122 21784
Classification report for turbine 4, turbine category 11
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 0.955174 0.986867 0.970762 17209
20 0.956279 0.943567 0.949880 3987
avg / total 0.929594 0.952304 0.940737 21784
Classification report for turbine 4, turbine category 12
precision recall f1-score support
19 0.987015 0.991232 0.989119 17791
20 0.960174 0.941898 0.950948 3993
avg / total 0.982095 0.982189 0.982122 21784
Classification report for turbine 4, turbine category 13
precision recall f1-score support
19 0.987015 0.991232 0.989119 17791
20 0.960174 0.941898 0.950948 3993
avg / total 0.982095 0.982189 0.982122 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.994109 0.990205 0.992153 20622
20.0 0.885246 0.882960 0.884102 1162
avg / total 0.988302 0.984484 0.986389 21784
Classification report for turbine 4, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.994318 0.992920 0.993619 20622
20.0 0.881013 0.898451 0.889646 1162
avg / total 0.988275 0.987881 0.988073 21784
Classification report for turbine 4, turbine category 2
precision recall f1-score support
19 0.994177 0.993551 0.993864 20622
20 0.886809 0.896730 0.891742 1162
avg / total 0.988450 0.988386 0.988416 21784
Classification report for turbine 4, turbine category 3
precision recall f1-score support
10 0.500000 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 0.812394 0.991641 0.893113 16869
20 0.543126 0.894515 0.675877 711
avg / total 0.711964 0.797145 0.713756 21784
Classification report for turbine 4, turbine category 4
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 0.983260 0.993626 0.988415 20394
20 0.566809 0.862694 0.684129 772
avg / total 0.940607 0.960797 0.949591 21784
Classification report for turbine 4, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.994504 0.991611 0.993056 20622
20.0 0.871752 0.895009 0.883227 1162
avg / total 0.987957 0.986458 0.987197 21784
Classification report for turbine 4, turbine category 6
precision recall f1-score support
10 0.068966 0.037736 0.048780 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 0.333333 0.027778 0.051282 36
18 0.000000 0.000000 0.000000 36
19 0.980283 0.990409 0.985320 20331
20 0.837128 0.859712 0.848270 1112
avg / total 0.958349 0.968371 0.963104 21784
Classification report for turbine 4, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.994441 0.988992 0.991709 20622
20.0 0.878657 0.878657 0.878657 1162
avg / total 0.988265 0.983107 0.985679 21784
Classification report for turbine 4, turbine category 8
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 0.000000 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 0.954258 0.990804 0.972188 19792
20 0.831204 0.819245 0.825181 1112
avg / total 0.909428 0.942022 0.925410 21784
Classification report for turbine 4, turbine category 9
precision recall f1-score support
10 0.173611 0.303030 0.220751 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 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.925785 0.991820 0.957666 19193
20 0.750000 0.671733 0.708712 987
avg / total 0.850968 0.906583 0.877543 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 10
precision recall f1-score support
19 0.994177 0.993551 0.993864 20622
20 0.886809 0.896730 0.891742 1162
avg / total 0.988450 0.988386 0.988416 21784
Classification report for turbine 4, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.955212 0.989999 0.972295 19798
20 0.831667 0.904805 0.866696 1103
avg / total 0.910238 0.945556 0.927536 21784
Classification report for turbine 4, turbine category 12
precision recall f1-score support
19 0.994177 0.993551 0.993864 20622
20 0.886809 0.896730 0.891742 1162
avg / total 0.988450 0.988386 0.988416 21784
Classification report for turbine 4, turbine category 13
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 0.962783 0.993590 0.977944 19970
20 0.817021 0.893023 0.853333 1075
avg / total 0.922929 0.954921 0.938619 21784
------------------------------------------------------------------------
Classification report for turbine 4, turbine category 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996410 0.995285 0.995847 20360
20.0 0.955096 0.941011 0.948001 1424
avg / total 0.993710 0.991737 0.992720 21784
Classification report for turbine 4, turbine category 1
precision recall f1-score support
19 0.996367 0.996709 0.996538 20360
20 0.952717 0.948034 0.950370 1424
avg / total 0.993513 0.993527 0.993520 21784
Classification report for turbine 4, turbine category 2
precision recall f1-score support
19 0.996416 0.996807 0.996612 20360
20 0.954096 0.948736 0.951408 1424
avg / total 0.993650 0.993665 0.993657 21784
Classification report for turbine 4, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996467 0.983644 0.990014 20360
20.0 0.947005 0.865871 0.904622 1424
avg / total 0.993234 0.975946 0.984432 21784
Classification report for turbine 4, turbine category 4
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 0.955005 0.996617 0.975367 19508
20 0.851641 0.932084 0.890048 1281
avg / total 0.905307 0.947301 0.925800 21784
Classification report for turbine 4, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996413 0.995923 0.996168 20360
20.0 0.950635 0.946629 0.948628 1424
avg / total 0.993420 0.992701 0.993060 21784
Classification report for turbine 4, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.942442 0.993409 0.967255 19268
20 0.905087 0.884929 0.894895 1347
avg / total 0.889558 0.933391 0.910874 21784
Classification report for turbine 4, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996460 0.995432 0.995946 20360
20.0 0.954642 0.945927 0.950265 1424
avg / total 0.993726 0.992196 0.992960 21784
Classification report for turbine 4, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996262 0.994892 0.995577 20360
20.0 0.956553 0.927669 0.941889 1424
avg / total 0.993666 0.990498 0.992067 21784
Classification report for turbine 4, turbine category 9
precision recall f1-score support
10 0.769737 0.101739 0.179724 1150
11 0.000000 0.000000 0.000000 552
12 0.000000 0.000000 0.000000 540
13 0.000000 0.000000 0.000000 532
14 0.043478 0.001984 0.003795 504
15 0.312500 0.009921 0.019231 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 0.799507 0.991554 0.885234 16340
20 0.183607 0.794326 0.298269 282
avg / total 0.650951 0.759686 0.677889 21784
Classification report for turbine 4, turbine category 10
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
19 0.996416 0.996807 0.996612 20360
20 0.954096 0.948736 0.951408 1424
avg / total 0.993650 0.993665 0.993657 21784
Classification report for turbine 4, turbine category 11
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 0.090909 0.005556 0.010471 180
18 0.000000 0.000000 0.000000 176
19 0.939807 0.994842 0.966542 19194
20 0.746377 0.916370 0.822684 1124
avg / total 0.867331 0.923889 0.894160 21784
Classification report for turbine 4, turbine category 12
precision recall f1-score support
19 0.996416 0.996807 0.996612 20360
20 0.954096 0.948736 0.951408 1424
avg / total 0.993650 0.993665 0.993657 21784
Classification report for turbine 4, turbine category 13
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.996415 0.996464 0.996439 20360
20.0 0.954096 0.948736 0.951408 1424
avg / total 0.993648 0.993344 0.993496 21784
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 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 0.957142 0.994915 0.975663 18878
20 0.920455 0.650000 0.761939 1620
avg / total 0.941021 0.954248 0.945488 20786
Classification report for turbine 5, turbine category 1
precision recall f1-score support
10 0.009434 0.016949 0.012121 59
11 0.021978 0.033333 0.026490 180
12 0.009852 0.011111 0.010444 180
13 0.027778 0.005556 0.009259 180
14 0.000000 0.000000 0.000000 180
15 0.017391 0.022222 0.019512 180
16 0.011338 0.027778 0.016103 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.897974 0.927769 0.912628 17721
20 0.878222 0.630907 0.734300 1566
avg / total 0.832519 0.839411 0.834121 20786
Classification report for turbine 5, turbine category 2
precision recall f1-score support
19 0.970630 0.995874 0.983090 19148
20 0.930702 0.647741 0.763859 1638
avg / total 0.967484 0.968440 0.965814 20786
Classification report for turbine 5, turbine category 3
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 0.956072 0.995812 0.975538 18862
20 0.913158 0.644582 0.755717 1615
avg / total 0.938525 0.953719 0.943956 20786
Classification report for turbine 5, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.970413 0.988354 0.979301 19148
20.0 0.931095 0.643468 0.761011 1638
avg / total 0.967315 0.961176 0.962099 20786
Classification report for turbine 5, turbine category 5
precision recall f1-score support
19 0.970630 0.995874 0.983090 19148
20 0.930702 0.647741 0.763859 1638
avg / total 0.967484 0.968440 0.965814 20786
Classification report for turbine 5, turbine category 6
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 0.000000 0.000000 0.000000 273
14 0.000000 0.000000 0.000000 216
15 0.016667 0.004630 0.007246 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 0.811031 0.968260 0.882698 16068
20 0.814198 0.873942 0.843013 1063
avg / total 0.668755 0.793226 0.725531 20786
Classification report for turbine 5, turbine category 7
precision recall f1-score support
10 0.111111 0.035714 0.054054 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 0.948131 0.964434 0.956213 18726
20 0.838028 0.624672 0.715789 1524
avg / total 0.916058 0.914798 0.914147 20786
Classification report for turbine 5, turbine category 8
precision recall f1-score support
10 0.135029 0.110048 0.121265 627
11 0.000000 0.000000 0.000000 724
12 0.074074 0.003515 0.006711 569
13 0.038462 0.005703 0.009934 526
14 0.075000 0.006024 0.011152 498
15 0.000000 0.000000 0.000000 468
16 0.000000 0.000000 0.000000 452
17 0.111111 0.002315 0.004535 432
18 0.000000 0.000000 0.000000 397
19 0.757632 0.984785 0.856402 14919
20 0.621583 0.367973 0.462279 1174
avg / total 0.590072 0.731358 0.645240 20786
Classification report for turbine 5, turbine category 9
precision recall f1-score support
10 0.310225 0.407281 0.352189 879
11 0.016667 0.001815 0.003273 551
12 0.114754 0.014374 0.025547 487
13 0.000000 0.000000 0.000000 468
14 0.034384 0.025641 0.029376 468
15 0.000000 0.000000 0.000000 437
16 0.000000 0.000000 0.000000 360
17 0.000000 0.000000 0.000000 344
18 0.000000 0.000000 0.000000 288
19 0.810723 0.945351 0.872877 15627
20 0.338552 0.197263 0.249280 877
avg / total 0.640813 0.737227 0.682990 20786
Classification report for turbine 5, turbine category 10
precision recall f1-score support
19 0.970630 0.995874 0.983090 19148
20 0.930702 0.647741 0.763859 1638
avg / total 0.967484 0.968440 0.965814 20786
Classification report for turbine 5, turbine category 11
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 0.903017 0.994667 0.946629 17814
20 0.904470 0.654822 0.759661 1576
avg / total 0.842480 0.902098 0.868877 20786
Classification report for turbine 5, turbine category 12
precision recall f1-score support
19 0.970630 0.995874 0.983090 19148
20 0.930702 0.647741 0.763859 1638
avg / total 0.967484 0.968440 0.965814 20786
Classification report for turbine 5, turbine category 13
precision recall f1-score support
19 0.970630 0.995874 0.983090 19148
20 0.930702 0.647741 0.763859 1638
avg / total 0.967484 0.968440 0.965814 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.966013 0.985506 0.975662 17593
20 0.906813 0.957510 0.931472 2683
avg / total 0.934670 0.957712 0.946019 20786
Classification report for turbine 5, turbine category 1
precision recall f1-score support
10 0.000000 0.000000 0.000000 118
11 0.000000 0.000000 0.000000 144
12 0.083333 0.013889 0.023810 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 0.031250 0.006944 0.011364 144
18 0.000000 0.000000 0.000000 144
19 0.924425 0.970852 0.947070 16845
20 0.886285 0.863721 0.874858 2671
avg / total 0.863836 0.897912 0.880169 20786
Classification report for turbine 5, turbine category 2
precision recall f1-score support
19 0.993095 0.986176 0.989624 18085
20 0.911567 0.954091 0.932344 2701
avg / total 0.982501 0.982007 0.982181 20786
Classification report for turbine 5, turbine category 3
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 0.976929 0.982803 0.979857 17794
20 0.667850 0.937718 0.780104 2007
avg / total 0.900791 0.931877 0.914137 20786
Classification report for turbine 5, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.993038 0.985900 0.989456 18085
20.0 0.907698 0.899297 0.903478 2701
avg / total 0.981949 0.974646 0.978284 20786
Classification report for turbine 5, turbine category 5
precision recall f1-score support
19 0.993095 0.986176 0.989624 18085
20 0.911567 0.954091 0.932344 2701
avg / total 0.982501 0.982007 0.982181 20786
Classification report for turbine 5, turbine category 6
precision recall f1-score support
10 0.011905 0.012658 0.012270 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 0.969388 0.976311 0.972837 17645
20 0.835169 0.945696 0.887002 2486
avg / total 0.922834 0.941932 0.931962 20786
Classification report for turbine 5, turbine category 7
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.992749 0.984186 0.988449 18085
20.0 0.907202 0.937431 0.922068 2701
avg / total 0.981633 0.978110 0.979823 20786
Classification report for turbine 5, turbine category 8
precision recall f1-score support
10 0.320988 0.447504 0.373832 581
11 0.029630 0.013746 0.018779 291
12 0.000000 0.000000 0.000000 288
13 0.013699 0.003472 0.005540 288
14 0.000000 0.000000 0.000000 288
15 0.027778 0.010417 0.015152 288
16 0.021739 0.010417 0.014085 288
17 0.012579 0.006944 0.008949 288
18 0.000000 0.000000 0.000000 245
19 0.870002 0.919869 0.894241 15824
20 0.787282 0.830420 0.808276 2117
avg / total 0.752936 0.797989 0.774408 20786
Classification report for turbine 5, turbine category 9
precision recall f1-score support
10 0.233096 0.388724 0.291435 1011
11 0.010526 0.001592 0.002766 628
12 0.041176 0.014141 0.021053 495
13 0.020548 0.007519 0.011009 399
14 0.026178 0.014085 0.018315 355
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 0.842781 0.955697 0.895694 14965
20 0.680940 0.495418 0.573550 1637
avg / total 0.673870 0.746753 0.705314 20786
Classification report for turbine 5, turbine category 10
precision recall f1-score support
19 0.993095 0.986176 0.989624 18085
20 0.911567 0.954091 0.932344 2701
avg / total 0.982501 0.982007 0.982181 20786
Classification report for turbine 5, turbine category 11
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 0.052632 0.013889 0.021978 72
19 0.961306 0.980803 0.970957 17503
20 0.908131 0.957684 0.932249 2694
avg / total 0.927356 0.950063 0.938503 20786
Classification report for turbine 5, turbine category 12
precision recall f1-score support
19 0.993095 0.986176 0.989624 18085
20 0.911567 0.954091 0.932344 2701
avg / total 0.982501 0.982007 0.982181 20786
Classification report for turbine 5, turbine category 13
precision recall f1-score support
19 0.993095 0.986176 0.989624 18085
20 0.911567 0.954091 0.932344 2701
avg / total 0.982501 0.982007 0.982181 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 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 0.200000 0.008065 0.015504 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 0.953803 0.995513 0.974212 17608
20 0.917053 0.898515 0.907689 2424
avg / total 0.916112 0.948138 0.931208 20786
Classification report for turbine 5, turbine category 1
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 0.487805 0.555556 0.519481 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 0.973117 0.988629 0.980812 17941
20 0.968031 0.892338 0.928644 2545
avg / total 0.959294 0.963533 0.961168 20786
Classification report for turbine 5, turbine category 2
precision recall f1-score support
19 0.986158 0.997255 0.991676 18217
20 0.978849 0.900740 0.938171 2569
avg / total 0.985255 0.985327 0.985063 20786
Classification report for turbine 5, turbine category 3
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 0.970475 0.995427 0.982792 17930
20 0.975899 0.900859 0.936878 2562
avg / total 0.957417 0.969691 0.963232 20786
Classification report for turbine 5, turbine category 4
precision recall f1-score support
19 0.986157 0.997200 0.991648 18217
20 0.978436 0.900740 0.937981 2569
avg / total 0.985203 0.985279 0.985015 20786
Classification report for turbine 5, turbine category 5
precision recall f1-score support
19 0.986158 0.997255 0.991676 18217
20 0.978849 0.900740 0.938171 2569
avg / total 0.985255 0.985327 0.985063 20786
Classification report for turbine 5, turbine category 6
precision recall f1-score support
10 0.051020 0.121951 0.071942 41
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 0.946514 0.990509 0.968012 17491
20 0.965577 0.876582 0.918930 2528
avg / total 0.914007 0.940344 0.926465 20786
Classification report for turbine 5, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.985775 0.996651 0.991183 18217
20.0 0.977615 0.884002 0.928455 2569
avg / total 0.984766 0.982729 0.983430 20786
Classification report for turbine 5, turbine category 8
precision recall f1-score support
10 0.084255 0.568966 0.146775 174
11 0.000000 0.000000 0.000000 144
12 0.010000 0.006944 0.008197 144
13 0.054054 0.013889 0.022099 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 0.926412 0.964139 0.944899 17066
20 0.953824 0.552214 0.699471 2394
avg / total 0.871619 0.860098 0.857793 20786
Classification report for turbine 5, turbine category 9
precision recall f1-score support
10 0.165649 0.594521 0.259104 365
11 0.000000 0.000000 0.000000 216
12 0.014085 0.004630 0.006969 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 0.907190 0.953987 0.930000 16691
20 0.869657 0.559261 0.680746 2219
avg / total 0.824362 0.836236 0.824078 20786
Classification report for turbine 5, turbine category 10
precision recall f1-score support
19 0.986158 0.997255 0.991676 18217
20 0.978849 0.900740 0.938171 2569
avg / total 0.985255 0.985327 0.985063 20786
Classification report for turbine 5, turbine category 11
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 0.954734 0.992967 0.973475 17630
20 0.974327 0.901480 0.936489 2568
avg / total 0.930147 0.953575 0.941368 20786
Classification report for turbine 5, turbine category 12
precision recall f1-score support
19 0.986158 0.997255 0.991676 18217
20 0.978849 0.900740 0.938171 2569
avg / total 0.985255 0.985327 0.985063 20786
Classification report for turbine 5, turbine category 13
precision recall f1-score support
19 0.986158 0.997255 0.991676 18217
20 0.978849 0.900740 0.938171 2569
avg / total 0.985255 0.985327 0.985063 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988696 0.995883 0.992276 19673
20.0 0.961581 0.787062 0.865613 1113
avg / total 0.987244 0.984701 0.985494 20786
Classification report for turbine 5, turbine category 1
precision recall f1-score support
10 0.011905 0.040000 0.018349 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 0.974192 0.989576 0.981824 19378
20 0.942703 0.796347 0.863366 1095
avg / total 0.957878 0.964543 0.960821 20786
Classification report for turbine 5, turbine category 2
precision recall f1-score support
19 0.988774 0.998424 0.993576 19673
20 0.966341 0.799641 0.875123 1113
avg / total 0.987573 0.987780 0.987233 20786
Classification report for turbine 5, turbine category 3
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 0.975558 0.997218 0.986269 19412
20 0.932297 0.778499 0.848485 1079
avg / total 0.959467 0.971712 0.965120 20786
Classification report for turbine 5, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.988824 0.998424 0.993601 19673
20.0 0.966341 0.799641 0.875123 1113
avg / total 0.987620 0.987780 0.987257 20786
Classification report for turbine 5, turbine category 5
precision recall f1-score support
19 0.988774 0.998424 0.993576 19673
20 0.966341 0.799641 0.875123 1113
avg / total 0.987573 0.987780 0.987233 20786
Classification report for turbine 5, turbine category 6
precision recall f1-score support
10 0.031746 0.011628 0.017021 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 0.921142 0.993016 0.955729 18327
20 0.773303 0.719486 0.745424 934
avg / total 0.847180 0.907967 0.876302 20786
Classification report for turbine 5, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.988720 0.998068 0.993372 19673
20.0 0.964130 0.796945 0.872602 1113
avg / total 0.987404 0.987299 0.986906 20786
Classification report for turbine 5, turbine category 8
precision recall f1-score support
10 0.228412 0.181015 0.201970 453
11 0.028169 0.003067 0.005533 652
12 0.026316 0.001927 0.003591 519
13 0.033333 0.002137 0.004016 468
14 0.031746 0.004630 0.008081 432
15 0.142857 0.009828 0.018391 407
16 0.000000 0.000000 0.000000 396
17 0.055556 0.002747 0.005236 364
18 0.062500 0.003012 0.005747 332
19 0.800369 0.981900 0.881890 15912
20 0.777244 0.569918 0.657627 851
avg / total 0.657213 0.779515 0.707491 20786
Classification report for turbine 5, turbine category 9
precision recall f1-score support
10 0.200737 0.346032 0.254079 315
11 0.046512 0.012500 0.019704 320
12 0.000000 0.000000 0.000000 234
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 182
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 0.898322 0.972141 0.933775 17840
20 0.895833 0.538060 0.672313 959
avg / total 0.816092 0.864620 0.836603 20786
Classification report for turbine 5, turbine category 10
precision recall f1-score support
19 0.988774 0.998424 0.993576 19673
20 0.966341 0.799641 0.875123 1113
avg / total 0.987573 0.987780 0.987233 20786
Classification report for turbine 5, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
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 0.932056 0.994713 0.962366 18535
20 0.937701 0.810585 0.869522 1077
avg / total 0.879706 0.928991 0.903200 20786
Classification report for turbine 5, turbine category 12
precision recall f1-score support
19 0.988774 0.998424 0.993576 19673
20 0.966341 0.799641 0.875123 1113
avg / total 0.987573 0.987780 0.987233 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 13
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 0.974176 0.998401 0.986139 19383
20 0.955483 0.797824 0.869565 1103
avg / total 0.959124 0.973347 0.965721 20786
------------------------------------------------------------------------
Classification report for turbine 5, turbine category 0
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.973819 0.998445 0.985978 19931
20 0.913295 0.681034 0.780247 464
avg / total 0.954150 0.972578 0.962839 20786
Classification report for turbine 5, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992840 0.996407 0.994620 20317
20.0 0.904494 0.686567 0.780606 469
avg / total 0.990846 0.989416 0.989791 20786
Classification report for turbine 5, turbine category 2
precision recall f1-score support
19 0.992711 0.998819 0.995756 20317
20 0.930233 0.682303 0.787208 469
avg / total 0.991301 0.991677 0.991050 20786
Classification report for turbine 5, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992608 0.997982 0.995288 20317
20.0 0.927711 0.656716 0.769039 469
avg / total 0.991144 0.990282 0.990183 20786
Classification report for turbine 5, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
19.0 0.992710 0.998671 0.995682 20317
20.0 0.930233 0.682303 0.787208 469
avg / total 0.991300 0.991533 0.990978 20786
Classification report for turbine 5, turbine category 5
precision recall f1-score support
19 0.992711 0.998819 0.995756 20317
20 0.930233 0.682303 0.787208 469
avg / total 0.991301 0.991677 0.991050 20786
Classification report for turbine 5, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 23
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 0.938340 0.996614 0.966599 19194
20 0.821875 0.630695 0.713704 417
avg / total 0.882961 0.932936 0.906885 20786
Classification report for turbine 5, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.992711 0.998770 0.995731 20317
20.0 0.930029 0.680171 0.785714 469
avg / total 0.991296 0.991581 0.990992 20786
Classification report for turbine 5, turbine category 8
precision recall f1-score support
10 0.776596 0.288538 0.420749 253
11 0.022727 0.005556 0.008929 180
12 0.031250 0.005587 0.009479 179
13 0.023256 0.006944 0.010695 144
14 0.000000 0.000000 0.000000 144
15 0.042553 0.013889 0.020942 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 0.929678 0.982836 0.955518 18993
20 0.628866 0.577287 0.601974 317
avg / total 0.869449 0.910613 0.887775 20786
Classification report for turbine 5, turbine category 9
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 0.978436 0.978533 0.978484 20031
20 0.876543 0.613391 0.721728 463
avg / total 0.962421 0.956654 0.959020 20786
Classification report for turbine 5, turbine category 10
precision recall f1-score support
19 0.992711 0.998819 0.995756 20317
20 0.930233 0.682303 0.787208 469
avg / total 0.991301 0.991677 0.991050 20786
Classification report for turbine 5, turbine category 11
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.993173 0.995324 0.994248 20317
20.0 0.917614 0.688699 0.786845 469
avg / total 0.991468 0.988406 0.989568 20786
Classification report for turbine 5, turbine category 12
precision recall f1-score support
19 0.992711 0.998819 0.995756 20317
20 0.930233 0.682303 0.787208 469
avg / total 0.991301 0.991677 0.991050 20786
Classification report for turbine 5, turbine category 13
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992709 0.998573 0.995632 20317
20.0 0.930233 0.682303 0.787208 469
avg / total 0.991300 0.991437 0.990930 20786
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 0
precision recall f1-score support
19 0.936713 0.992138 0.963629 19334
20 0.885971 0.476786 0.619948 2477
avg / total 0.930950 0.933611 0.924598 21811
Classification report for turbine 6, turbine category 1
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 0.921233 0.993627 0.956061 18986
20 0.858215 0.473118 0.609971 2418
avg / total 0.897056 0.917381 0.899853 21811
Classification report for turbine 6, turbine category 2
precision recall f1-score support
19 0.936713 0.992138 0.963629 19334
20 0.885971 0.476786 0.619948 2477
avg / total 0.930950 0.933611 0.924598 21811
Classification report for turbine 6, turbine category 3
precision recall f1-score support
19 0.936713 0.992138 0.963629 19334
20 0.885971 0.476786 0.619948 2477
avg / total 0.930950 0.933611 0.924598 21811
Classification report for turbine 6, turbine category 4
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 0.923674 0.992392 0.956801 19060
20 0.851463 0.476490 0.611036 2382
avg / total 0.900161 0.919261 0.902853 21811
Classification report for turbine 6, turbine category 5
precision recall f1-score support
19 0.936713 0.992138 0.963629 19334
20 0.885971 0.476786 0.619948 2477
avg / total 0.930950 0.933611 0.924598 21811
Classification report for turbine 6, turbine category 6
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 0.907071 0.992254 0.947752 18720
20 0.619655 0.403320 0.488613 2048
avg / total 0.836707 0.889505 0.859319 21811
Classification report for turbine 6, turbine category 7
precision recall f1-score support
19 0.936713 0.992138 0.963629 19334
20 0.885971 0.476786 0.619948 2477
avg / total 0.930950 0.933611 0.924598 21811
Classification report for turbine 6, turbine category 8
precision recall f1-score support
10 0.216216 0.213333 0.214765 75
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 0.009615 0.009259 0.009434 108
19 0.900142 0.989482 0.942700 18539
20 0.782419 0.385341 0.516370 2333
avg / total 0.849589 0.883041 0.857298 21811
Classification report for turbine 6, turbine category 9
precision recall f1-score support
10 0.756340 0.398837 0.522269 1720
11 0.005682 0.009317 0.007059 322
12 0.000000 0.000000 0.000000 221
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 201
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 0.015385 0.005556 0.008163 180
19 0.858952 0.928837 0.892528 17748
20 0.676033 0.616893 0.645110 663
avg / total 0.779349 0.806199 0.787233 21811
Classification report for turbine 6, turbine category 10
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 0.923039 0.992023 0.956289 19054
20 0.878470 0.475051 0.616640 2465
avg / total 0.905645 0.920315 0.905100 21811
Classification report for turbine 6, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 50
11 0.009346 0.003472 0.005063 288
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.200000 0.006944 0.013423 288
15 0.000000 0.000000 0.000000 288
16 0.000000 0.000000 0.000000 284
17 0.000000 0.000000 0.000000 221
18 0.000000 0.000000 0.000000 216
19 0.846000 0.981758 0.908837 17268
20 0.805231 0.501715 0.618230 2332
avg / total 0.758646 0.831049 0.785881 21811
Classification report for turbine 6, turbine category 12
precision recall f1-score support
19 0.936713 0.992138 0.963629 19334
20 0.885971 0.476786 0.619948 2477
avg / total 0.930950 0.933611 0.924598 21811
Classification report for turbine 6, turbine category 13
precision recall f1-score support
19 0.936713 0.992138 0.963629 19334
20 0.885971 0.476786 0.619948 2477
avg / total 0.930950 0.933611 0.924598 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 0
precision recall f1-score support
19 0.993188 0.989156 0.991168 20195
20 0.871025 0.915223 0.892577 1616
avg / total 0.984137 0.983678 0.983863 21811
Classification report for turbine 6, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.993317 0.986234 0.989763 20195
20.0 0.869923 0.914604 0.891704 1616
avg / total 0.984175 0.980927 0.982498 21811
Classification report for turbine 6, turbine category 2
precision recall f1-score support
19 0.993188 0.989156 0.991168 20195
20 0.871025 0.915223 0.892577 1616
avg / total 0.984137 0.983678 0.983863 21811
Classification report for turbine 6, turbine category 3
precision recall f1-score support
19 0.993188 0.989156 0.991168 20195
20 0.871025 0.915223 0.892577 1616
avg / total 0.984137 0.983678 0.983863 21811
Classification report for turbine 6, turbine category 4
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 0.979031 0.987193 0.983095 19911
20 0.841176 0.909669 0.874083 1572
avg / total 0.954372 0.966760 0.960454 21811
Classification report for turbine 6, turbine category 5
precision recall f1-score support
19 0.993188 0.989156 0.991168 20195
20 0.871025 0.915223 0.892577 1616
avg / total 0.984137 0.983678 0.983863 21811
Classification report for turbine 6, turbine category 6
precision recall f1-score support
10 0.250000 0.001745 0.003466 573
11 0.000000 0.000000 0.000000 250
12 0.000000 0.000000 0.000000 216
13 0.111111 0.005128 0.009804 195
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 169
19 0.916170 0.982450 0.948154 18633
20 0.558824 0.900474 0.689655 1055
avg / total 0.817270 0.882949 0.843539 21811
Classification report for turbine 6, turbine category 7
precision recall f1-score support
19 0.993188 0.989156 0.991168 20195
20 0.871025 0.915223 0.892577 1616
avg / total 0.984137 0.983678 0.983863 21811
Classification report for turbine 6, turbine category 8
precision recall f1-score support
10 0.858896 0.193370 0.315671 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 0.000000 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 203
19 0.907596 0.981621 0.943159 18391
20 0.504693 0.716189 0.592122 976
avg / total 0.816378 0.866168 0.832245 21811
Classification report for turbine 6, turbine category 9
precision recall f1-score support
10 0.003817 1.000000 0.007605 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 0.992378 0.968894 0.980496 20157
20 0.816944 0.396476 0.533861 1362
avg / total 0.968138 0.920361 0.939480 21811
Classification report for turbine 6, turbine category 10
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
19.0 0.993188 0.989156 0.991168 20195
20.0 0.870949 0.914604 0.892243 1616
avg / total 0.984132 0.983632 0.983839 21811
Classification report for turbine 6, turbine category 11
precision recall f1-score support
10 0.153846 0.125000 0.137931 16
11 0.009346 0.009259 0.009302 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 0.953664 0.963221 0.958419 19359
20 0.848042 0.923028 0.883948 1572
avg / total 0.907734 0.921599 0.914530 21811
Classification report for turbine 6, turbine category 12
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
precision recall f1-score support
19 0.993188 0.989156 0.991168 20195
20 0.871025 0.915223 0.892577 1616
avg / total 0.984137 0.983678 0.983863 21811
Classification report for turbine 6, turbine category 13
precision recall f1-score support
19 0.993188 0.989156 0.991168 20195
20 0.871025 0.915223 0.892577 1616
avg / total 0.984137 0.983678 0.983863 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 0
precision recall f1-score support
19 0.957875 0.971653 0.964715 14252
20 0.945064 0.919434 0.932073 7559
avg / total 0.953435 0.953556 0.953402 21811
Classification report for turbine 6, turbine category 1
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 0.938890 0.968031 0.953238 13951
20 0.888588 0.919624 0.903840 7129
avg / total 0.890982 0.919765 0.905144 21811
Classification report for turbine 6, turbine category 2
precision recall f1-score support
19 0.957875 0.971653 0.964715 14252
20 0.945064 0.919434 0.932073 7559
avg / total 0.953435 0.953556 0.953402 21811
Classification report for turbine 6, turbine category 3
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 0.942588 0.971276 0.956717 14030
20 0.936225 0.919594 0.927835 7487
avg / total 0.927699 0.940443 0.933907 21811
Classification report for turbine 6, turbine category 4
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.957629 0.970530 0.964037 14252
20.0 0.943935 0.913216 0.928322 7559
avg / total 0.952884 0.950667 0.951659 21811
Classification report for turbine 6, turbine category 5
precision recall f1-score support
19 0.957875 0.971653 0.964715 14252
20 0.945064 0.919434 0.932073 7559
avg / total 0.953435 0.953556 0.953402 21811
Classification report for turbine 6, turbine category 6
precision recall f1-score support
10 0.184771 0.421628 0.256942 823
11 0.029412 0.020833 0.024390 144
12 0.000000 0.000000 0.000000 144
13 0.166667 0.017094 0.031008 117
14 0.000000 0.000000 0.000000 108
15 0.022727 0.009259 0.013158 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 0.916394 0.968155 0.941564 13597
20 0.817722 0.675383 0.739768 6463
avg / total 0.821760 0.819862 0.816266 21811
Classification report for turbine 6, turbine category 7
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 0.938646 0.971785 0.954928 13964
20 0.908077 0.920088 0.914043 7258
avg / total 0.903126 0.928339 0.915535 21811
Classification report for turbine 6, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.955633 0.964216 0.959905 14252
20.0 0.941039 0.745337 0.831832 7559
avg / total 0.950575 0.888359 0.915519 21811
Classification report for turbine 6, turbine category 9
precision recall f1-score support
10 0.103565 0.330769 0.157740 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 0.900354 0.964708 0.931420 13459
20 0.888100 0.669028 0.763154 6916
avg / total 0.840277 0.817294 0.821443 21811
Classification report for turbine 6, turbine category 10
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
19.0 0.957938 0.971583 0.964712 14252
20.0 0.945071 0.919566 0.932144 7559
avg / total 0.953479 0.953556 0.953425 21811
Classification report for turbine 6, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 34
11 0.000000 0.000000 0.000000 216
12 0.000000 0.000000 0.000000 216
13 0.000000 0.000000 0.000000 216
14 0.019231 0.004630 0.007463 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 0.852383 0.955524 0.901011 12636
20 0.926757 0.925132 0.925943 7413
avg / total 0.808991 0.868048 0.836771 21811
Classification report for turbine 6, turbine category 12
precision recall f1-score support
19 0.957875 0.971653 0.964715 14252
20 0.945064 0.919434 0.932073 7559
avg / total 0.953435 0.953556 0.953402 21811
Classification report for turbine 6, turbine category 13
precision recall f1-score support
19 0.957875 0.971653 0.964715 14252
20 0.945064 0.919434 0.932073 7559
avg / total 0.953435 0.953556 0.953402 21811
------------------------------------------------------------------------
Classification report for turbine 6, turbine category 0
precision recall f1-score support
19 0.984902 0.995251 0.990050 19795
20 0.948009 0.850198 0.896444 2016
avg / total 0.981492 0.981844 0.981398 21811
Classification report for turbine 6, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984703 0.991816 0.988247 19795
20.0 0.945689 0.837798 0.888480 2016
avg / total 0.981097 0.977580 0.979025 21811
Classification report for turbine 6, turbine category 2
precision recall f1-score support
19 0.984902 0.995251 0.990050 19795
20 0.948009 0.850198 0.896444 2016
avg / total 0.981492 0.981844 0.981398 21811
Classification report for turbine 6, turbine category 3
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984862 0.992574 0.988703 19795
20.0 0.945916 0.850198 0.895507 2016
avg / total 0.981262 0.979414 0.980089 21811
Classification report for turbine 6, turbine category 4
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 0.000000 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 0.955667 0.994740 0.974812 19200
20 0.837942 0.836093 0.837017 1812
avg / total 0.910878 0.945119 0.927654 21811
Classification report for turbine 6, turbine category 5
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 0.959856 0.995334 0.977273 19290
20 0.910951 0.863660 0.886676 1907
avg / total 0.928559 0.955802 0.941841 21811
Classification report for turbine 6, turbine category 6
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 0.975932 0.986937 0.981404 19598
20 0.851777 0.673383 0.752147 1886
avg / total 0.950565 0.945028 0.946866 21811
Classification report for turbine 6, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984895 0.994797 0.989821 19795
20.0 0.945404 0.841766 0.890580 2016
avg / total 0.981245 0.980652 0.980648 21811
Classification report for turbine 6, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985352 0.992321 0.988825 19795
20.0 0.940280 0.765377 0.843861 2016
avg / total 0.981186 0.971345 0.975426 21811
Classification report for turbine 6, turbine category 9
precision recall f1-score support
10 0.390244 0.092219 0.149184 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 0.936885 0.991557 0.963446 18833
20 0.578077 0.709774 0.637192 1330
avg / total 0.856634 0.902389 0.875503 21811
Classification report for turbine 6, turbine category 10
precision recall f1-score support
15.0 0.000000 0.000000 0.000000 0
19.0 0.984901 0.995150 0.989999 19795
20.0 0.948009 0.850198 0.896444 2016
avg / total 0.981491 0.981752 0.981352 21811
Classification report for turbine 6, turbine category 11
precision recall f1-score support
10 0.100000 0.041667 0.058824 24
11 0.027778 0.006944 0.011111 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 0.932730 0.986677 0.958945 18690
20 0.907568 0.863239 0.884848 1945
avg / total 0.880489 0.922562 0.900772 21811
Classification report for turbine 6, turbine category 12
precision recall f1-score support
19 0.984902 0.995251 0.990050 19795
20 0.948009 0.850198 0.896444 2016
avg / total 0.981492 0.981844 0.981398 21811
Classification report for turbine 6, turbine category 13
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 0.970354 0.995180 0.982611 19504
20 0.941372 0.849301 0.892970 2004
avg / total 0.954211 0.967952 0.960724 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.980850 0.996855 0.988788 20347
20 0.905477 0.876818 0.890917 1169
avg / total 0.963544 0.976938 0.970168 21811
Classification report for turbine 6, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992885 0.996164 0.994522 20594
20.0 0.942342 0.859491 0.899012 1217
avg / total 0.990065 0.988538 0.989193 21811
Classification report for turbine 6, turbine category 2
precision recall f1-score support
19 0.992795 0.996892 0.994839 20594
20 0.943463 0.877568 0.909323 1217
avg / total 0.990042 0.990234 0.990068 21811
Classification report for turbine 6, turbine category 3
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 0.979091 0.996012 0.987479 20310
20 0.841213 0.856494 0.848785 1101
avg / total 0.954175 0.970703 0.962368 21811
Classification report for turbine 6, turbine category 4
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 0.979449 0.994978 0.987153 20310
20 0.912648 0.844987 0.877515 1187
avg / total 0.961713 0.972491 0.966974 21811
Classification report for turbine 6, turbine category 5
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 0.980687 0.996067 0.988317 20341
20 0.903880 0.876818 0.890143 1169
avg / total 0.963037 0.975930 0.969416 21811
Classification report for turbine 6, turbine category 6
precision recall f1-score support
10 0.426471 0.204225 0.276190 142
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 252
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 0.062500 0.003968 0.007463 252
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.895161 0.993155 0.941615 18553
20 0.859738 0.774545 0.814921 1100
avg / total 0.808305 0.885241 0.843946 21811
Classification report for turbine 6, turbine category 7
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992890 0.996747 0.994814 20594
20.0 0.941071 0.866064 0.902011 1217
avg / total 0.989998 0.989455 0.989636 21811
Classification report for turbine 6, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 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 0.959524 0.996080 0.977460 19896
20 0.780511 0.804094 0.792127 1026
avg / total 0.911993 0.946449 0.928901 21811
Classification report for turbine 6, turbine category 9
precision recall f1-score support
10 0.648515 0.310427 0.419872 422
11 0.062500 0.012346 0.020619 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 0.250000 0.009259 0.017857 108
19 0.955329 0.994139 0.974348 19791
20 0.571267 0.742647 0.645780 680
avg / total 0.898912 0.931365 0.912608 21811
Classification report for turbine 6, turbine category 10
precision recall f1-score support
19 0.992795 0.996892 0.994839 20594
20 0.943463 0.877568 0.909323 1217
avg / total 0.990042 0.990234 0.990068 21811
Classification report for turbine 6, turbine category 11
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 0.062500 0.013889 0.022727 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 0.966697 0.992711 0.979532 20030
20 0.923643 0.841576 0.880702 1193
avg / total 0.938488 0.957728 0.947794 21811
Classification report for turbine 6, turbine category 12
precision recall f1-score support
19 0.992795 0.996892 0.994839 20594
20 0.943463 0.877568 0.909323 1217
avg / total 0.990042 0.990234 0.990068 21811
Classification report for turbine 6, turbine category 13
precision recall f1-score support
19 0.992795 0.996892 0.994839 20594
20 0.943463 0.877568 0.909323 1217
avg / total 0.990042 0.990234 0.990068 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 20923
Classification report for turbine 7, turbine category 1
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 0.872771 0.932122 0.901471 8088
20 0.951079 0.931813 0.941347 12539
avg / total 0.907353 0.918750 0.912615 20923
Classification report for turbine 7, turbine category 2
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 20923
Classification report for turbine 7, turbine category 3
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
Classification report for turbine 7, turbine category 4
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 0.842672 0.927616 0.883106 7847
20 0.946683 0.929656 0.938092 12510
avg / total 0.882065 0.903742 0.892093 20923
Classification report for turbine 7, turbine category 5
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 20923
Classification report for turbine 7, turbine category 6
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 0.664737 0.913458 0.769499 6286
20 0.871958 0.942792 0.905992 11362
avg / total 0.673217 0.786407 0.723173 20923
Classification report for turbine 7, turbine category 7
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 20923
Classification report for turbine 7, turbine category 8
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 0.694837 0.915358 0.789997 6557
20 0.891575 0.956510 0.922902 11451
avg / total 0.705705 0.810352 0.752672 20923
Classification report for turbine 7, turbine category 9
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 20923
Classification report for turbine 7, turbine category 10
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 20923
Classification report for turbine 7, turbine category 11
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 0.881107 0.929645 0.904725 8187
20 0.951323 0.939394 0.945321 12441
avg / total 0.910435 0.922334 0.916108 20923
Classification report for turbine 7, turbine category 12
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 20923
Classification report for turbine 7, turbine category 13
precision recall f1-score support
19 0.896272 0.930753 0.913187 8318
20 0.953114 0.928917 0.940860 12605
avg / total 0.930516 0.929647 0.929858 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 0
precision recall f1-score support
19 0.975081 0.767458 0.858900 16010
20 0.552632 0.936088 0.694975 4913
avg / total 0.875884 0.807054 0.820409 20923
Classification report for turbine 7, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.978363 0.754091 0.851711 16010
20.0 0.546120 0.926725 0.687245 4913
avg / total 0.876867 0.794628 0.813092 20923
Classification report for turbine 7, turbine category 2
precision recall f1-score support
19 0.975081 0.767458 0.858900 16010
20 0.552632 0.936088 0.694975 4913
avg / total 0.875884 0.807054 0.820409 20923
Classification report for turbine 7, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.974548 0.703123 0.816879 16010
20.0 0.641897 0.680440 0.660607 4913
avg / total 0.896437 0.697797 0.780184 20923
Classification report for turbine 7, turbine category 4
precision recall f1-score support
10 0.034091 0.000920 0.001792 3260
11 0.000000 0.000000 0.000000 1291
12 0.030769 0.001832 0.003457 1092
13 0.000000 0.000000 0.000000 952
14 0.166667 0.001199 0.002381 834
15 0.052632 0.001335 0.002604 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 0.594684 0.892892 0.713898 8244
20 0.345724 0.888265 0.497726 3204
avg / total 0.302702 0.488171 0.358153 20923
Classification report for turbine 7, turbine category 5
precision recall f1-score support
19 0.975081 0.767458 0.858900 16010
20 0.552632 0.936088 0.694975 4913
avg / total 0.875884 0.807054 0.820409 20923
Classification report for turbine 7, turbine category 6
precision recall f1-score support
10 0.003046 0.461538 0.006051 13
11 0.020341 0.287037 0.037990 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 0.944093 0.701849 0.805145 15519
20 0.471597 0.564833 0.514022 4527
avg / total 0.802396 0.644554 0.708608 20923
Classification report for turbine 7, turbine category 7
precision recall f1-score support
19 0.975081 0.767458 0.858900 16010
20 0.552632 0.936088 0.694975 4913
avg / total 0.875884 0.807054 0.820409 20923
Classification report for turbine 7, turbine category 8
precision recall f1-score support
10 0.018692 0.022663 0.020487 353
11 0.120000 0.003577 0.006947 2516
12 0.072289 0.006135 0.011310 1956
13 0.044586 0.004569 0.008289 1532
14 0.067857 0.016281 0.026261 1167
15 0.084586 0.046201 0.059761 974
16 0.160000 0.021769 0.038323 735
17 0.000000 0.000000 0.000000 571
18 0.045685 0.021583 0.029316 417
19 0.434759 0.643018 0.518768 7555
20 0.332943 0.813791 0.472553 3147
avg / total 0.246085 0.360560 0.267418 20923
Classification report for turbine 7, turbine category 9
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 0.923974 0.765836 0.837505 15203
20 0.329368 0.911540 0.483891 3007
avg / total 0.718711 0.687473 0.678089 20923
Classification report for turbine 7, turbine category 10
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
19 0.975081 0.767458 0.858900 16010
20 0.552632 0.936088 0.694975 4913
avg / total 0.875884 0.807054 0.820409 20923
Classification report for turbine 7, turbine category 11
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.975264 0.765896 0.857993 16010
20.0 0.552660 0.936699 0.695166 4913
avg / total 0.876031 0.806003 0.819759 20923
Classification report for turbine 7, turbine category 12
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 0.975081 0.772476 0.862034 15906
20 0.529320 0.933460 0.675562 4719
avg / total 0.860656 0.797782 0.807699 20923
Classification report for turbine 7, turbine category 13
precision recall f1-score support
19 0.975081 0.767458 0.858900 16010
20 0.552632 0.936088 0.694975 4913
avg / total 0.875884 0.807054 0.820409 20923
------------------------------------------------------------------------
Classification report for turbine 7, turbine category 0
precision recall f1-score support
19 0.977778 0.986960 0.982348 16718
20 0.946146 0.910820 0.928147 4205
avg / total 0.971421 0.971658 0.971455 20923
Classification report for turbine 7, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.977990 0.986063 0.982010 16718
20.0 0.944773 0.911296 0.927733 4205
avg / total 0.971314 0.971037 0.971102 20923
Classification report for turbine 7, turbine category 2
precision recall f1-score support
19 0.977778 0.986960 0.982348 16718
20 0.946146 0.910820 0.928147 4205
avg / total 0.971421 0.971658 0.971455 20923
Classification report for turbine 7, turbine category 3
precision recall f1-score support
10 0.000912 0.031250 0.001773 32
11 0.000000 0.000000 0.000000 144
12 0.333333 0.006944 0.013605 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 0.125000 0.006944 0.013158 144
18 0.000000 0.000000 0.000000 144
19 0.912886 0.951684 0.931881 15647
20 0.913218 0.776637 0.839408 4092
avg / total 0.864448 0.863738 0.861249 20923
Classification report for turbine 7, turbine category 4
precision recall f1-score support
10 0.683215 0.655329 0.668981 441
11 0.235690 0.310421 0.267943 451
12 0.091787 0.051213 0.065744 371
13 0.016484 0.008333 0.011070 360
14 0.054054 0.029240 0.037951 342
15 0.028571 0.022388 0.025105 268
16 0.009756 0.007937 0.008753 252
17 0.010101 0.003968 0.005698 252
18 0.005076 0.003968 0.004454 252
19 0.860127 0.913374 0.885951 14199
20 0.892182 0.846319 0.868645 3735
avg / total 0.765916 0.793433 0.778699 20923
Classification report for turbine 7, turbine category 5
precision recall f1-score support
19 0.977778 0.986960 0.982348 16718
20 0.946146 0.910820 0.928147 4205
avg / total 0.971421 0.971658 0.971455 20923
Classification report for turbine 7, turbine category 6
precision recall f1-score support
10 0.050847 0.083333 0.063158 108
11 0.000000 0.000000 0.000000 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 0.000000 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 0.884134 0.982775 0.930848 15094
20 0.907393 0.875814 0.891324 3994
avg / total 0.811296 0.876595 0.841992 20923
Classification report for turbine 7, turbine category 7
precision recall f1-score support
19 0.977778 0.986960 0.982348 16718
20 0.946146 0.910820 0.928147 4205
avg / total 0.971421 0.971658 0.971455 20923
Classification report for turbine 7, turbine category 8
precision recall f1-score support
10 0.084399 0.165829 0.111864 199
11 0.224684 0.367495 0.278869 966
12 0.087457 0.092233 0.089781 824
13 0.027875 0.022039 0.024615 726
14 0.025316 0.017884 0.020961 671
15 0.027848 0.017857 0.021761 616
16 0.030612 0.021390 0.025184 561
17 0.049327 0.023061 0.031429 477
18 0.032967 0.025641 0.028846 468
19 0.732038 0.779135 0.754853 11704
20 0.857054 0.739962 0.794215 3711
avg / total 0.581404 0.592793 0.584798 20923
Classification report for turbine 7, turbine category 9
precision recall f1-score support
10 0.108108 0.842105 0.191617 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 0.958779 0.975425 0.967030 16358
20 0.908976 0.748444 0.820936 3856
avg / total 0.917799 0.905893 0.908555 20923
Classification report for turbine 7, turbine category 10
precision recall f1-score support
19 0.977778 0.986960 0.982348 16718
20 0.946146 0.910820 0.928147 4205
avg / total 0.971421 0.971658 0.971455 20923
Classification report for turbine 7, turbine category 11
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 0.924773 0.987654 0.955180 15795
20 0.892045 0.914409 0.903089 3949
avg / total 0.866486 0.918176 0.891524 20923
Classification report for turbine 7, turbine category 12
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
19.0 0.977720 0.986960 0.982318 16718
20.0 0.944782 0.887039 0.915001 4205
avg / total 0.971100 0.966879 0.968789 20923
Classification report for turbine 7, turbine category 13
precision recall f1-score support
19 0.977778 0.986960 0.982348 16718
20 0.946146 0.910820 0.928147 4205
avg / total 0.971421 0.971658 0.971455 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.971440 0.991399 0.981318 18836
20 0.667647 0.835173 0.742073 1359
avg / total 0.917908 0.946757 0.931635 20923
Classification report for turbine 7, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.988645 0.990295 0.989469 19166
20.0 0.896853 0.875925 0.886265 1757
avg / total 0.980936 0.980691 0.980803 20923
Classification report for turbine 7, turbine category 2
precision recall f1-score support
19 0.988295 0.991234 0.989763 19166
20 0.901176 0.871941 0.886318 1757
avg / total 0.980980 0.981217 0.981076 20923
Classification report for turbine 7, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987604 0.947772 0.967278 19166
20.0 0.902514 0.837792 0.868949 1757
avg / total 0.980459 0.938537 0.959021 20923
Classification report for turbine 7, turbine category 4
precision recall f1-score support
10 0.227273 0.862069 0.359712 29
11 0.004518 0.083333 0.008571 36
12 0.005988 0.055556 0.010811 36
13 0.008811 0.055556 0.015209 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 0.974599 0.903291 0.937591 18902
20 0.876074 0.838028 0.856629 1704
avg / total 0.952157 0.885819 0.917350 20923
Classification report for turbine 7, turbine category 5
precision recall f1-score support
19 0.988295 0.991234 0.989763 19166
20 0.901176 0.871941 0.886318 1757
avg / total 0.980980 0.981217 0.981076 20923
Classification report for turbine 7, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988628 0.979756 0.984172 19166
20.0 0.896049 0.838930 0.866549 1757
avg / total 0.980854 0.967930 0.974295 20923
Classification report for turbine 7, turbine category 7
precision recall f1-score support
19 0.988295 0.991234 0.989763 19166
20 0.901176 0.871941 0.886318 1757
avg / total 0.980980 0.981217 0.981076 20923
Classification report for turbine 7, turbine category 8
precision recall f1-score support
10 0.072000 0.006716 0.012287 1340
11 0.069800 0.206967 0.104393 488
12 0.043175 0.066239 0.052277 468
13 0.018648 0.020202 0.019394 396
14 0.021583 0.016484 0.018692 364
15 0.061033 0.036111 0.045375 360
16 0.015957 0.008333 0.010949 360
17 0.013889 0.008333 0.010417 360
18 0.037383 0.011111 0.017131 360
19 0.773789 0.793595 0.783567 15237
20 0.565714 0.748739 0.644485 1190
avg / total 0.605821 0.629021 0.613807 20923
Classification report for turbine 7, turbine category 9
precision recall f1-score support
10 0.051095 0.070707 0.059322 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 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.960094 0.985717 0.972737 18623
20 0.819322 0.803692 0.811432 1625
avg / total 0.918429 0.940114 0.929108 20923
Classification report for turbine 7, turbine category 10
precision recall f1-score support
19 0.988295 0.991234 0.989763 19166
20 0.901176 0.871941 0.886318 1757
avg / total 0.980980 0.981217 0.981076 20923
Classification report for turbine 7, turbine category 11
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 0.052632 0.013889 0.021978 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.960813 0.984539 0.972532 18628
20 0.870469 0.858231 0.864307 1707
avg / total 0.926622 0.946614 0.936447 20923
Classification report for turbine 7, turbine category 12
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
19.0 0.988296 0.991287 0.989789 19166
20.0 0.901475 0.869664 0.885284 1757
avg / total 0.981005 0.981073 0.981013 20923
Classification report for turbine 7, turbine category 13
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 0.946835 0.991286 0.968550 18361
20 0.848235 0.870247 0.859100 1657
avg / total 0.898072 0.938823 0.917989 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.980454 0.994086 0.987223 19276
20 0.867883 0.886652 0.877167 1341
avg / total 0.958900 0.972662 0.965731 20923
Classification report for turbine 7, turbine category 1
precision recall f1-score support
15.0 0.000000 0.000000 0.000000 0
19.0 0.992479 0.994106 0.993292 19512
20.0 0.917271 0.895819 0.906418 1411
avg / total 0.987407 0.987478 0.987433 20923
Classification report for turbine 7, turbine category 2
precision recall f1-score support
19 0.992480 0.994311 0.993395 19512
20 0.919273 0.895819 0.907394 1411
avg / total 0.987543 0.987669 0.987595 20923
Classification report for turbine 7, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992308 0.991749 0.992028 19512
20.0 0.923019 0.866761 0.894006 1411
avg / total 0.987635 0.983320 0.985418 20923
Classification report for turbine 7, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992135 0.924457 0.957101 19512
20.0 0.878436 0.588944 0.705134 1411
avg / total 0.984467 0.901831 0.940109 20923
Classification report for turbine 7, turbine category 5
precision recall f1-score support
19 0.992480 0.994311 0.993395 19512
20 0.919273 0.895819 0.907394 1411
avg / total 0.987543 0.987669 0.987595 20923
Classification report for turbine 7, turbine category 6
precision recall f1-score support
10 0.085714 0.083333 0.084507 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 0.083333 0.006944 0.012821 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 0.938139 0.991421 0.964044 18417
20 0.862731 0.887623 0.875000 1317
avg / total 0.880801 0.928739 0.903889 20923
Classification report for turbine 7, turbine category 7
precision recall f1-score support
19 0.992480 0.994311 0.993395 19512
20 0.919273 0.895819 0.907394 1411
avg / total 0.987543 0.987669 0.987595 20923
Classification report for turbine 7, turbine category 8
precision recall f1-score support
10 0.255474 0.084541 0.127042 414
11 0.009585 0.138889 0.017932 108
12 0.018092 0.101852 0.030726 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 0.950339 0.848097 0.896312 18683
20 0.723136 0.776507 0.748872 962
avg / total 0.887043 0.795918 0.837550 20923
Classification report for turbine 7, turbine category 9
precision recall f1-score support
10 0.545455 0.288462 0.377358 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 0.950246 0.990845 0.970121 18678
20 0.832583 0.868442 0.850134 1277
avg / total 0.901813 0.938967 0.919791 20923
Classification report for turbine 7, turbine category 10
precision recall f1-score support
19 0.992480 0.994311 0.993395 19512
20 0.919273 0.895819 0.907394 1411
avg / total 0.987543 0.987669 0.987595 20923
Classification report for turbine 7, turbine category 11
precision recall f1-score support
10 1.000000 0.076923 0.142857 13
11 0.000000 0.000000 0.000000 72
12 0.166667 0.013889 0.025641 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 0.964521 0.989920 0.977055 18949
20 0.899281 0.902527 0.900901 1385
avg / total 0.934245 0.956364 0.944687 20923
Classification report for turbine 7, turbine category 12
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.992480 0.994311 0.993395 19512
20.0 0.919155 0.894401 0.906609 1411
avg / total 0.987535 0.987573 0.987542 20923
Classification report for turbine 7, turbine category 13
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.992515 0.992159 0.992337 19512
20.0 0.917997 0.896527 0.907135 1411
avg / total 0.987489 0.985710 0.986591 20923
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 0
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
10 0.000000 0.000000 0.000000 446
11 0.000000 0.000000 0.000000 392
12 0.142857 0.002778 0.005450 360
13 0.000000 0.000000 0.000000 327
14 0.000000 0.000000 0.000000 290
15 0.137931 0.014286 0.025890 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 0.826897 0.989289 0.900833 12511
20 0.647013 0.721613 0.682280 2281
avg / total 0.677581 0.797998 0.730179 17579
Classification report for turbine 8, turbine category 1
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
Classification report for turbine 8, turbine category 2
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
Classification report for turbine 8, turbine category 3
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
Classification report for turbine 8, turbine category 4
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 0.946805 0.987973 0.966951 14052
20 0.903180 0.790108 0.842869 3235
avg / total 0.923050 0.935150 0.928055 17579
Classification report for turbine 8, turbine category 5
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
Classification report for turbine 8, turbine category 6
precision recall f1-score support
10 0.622472 0.496861 0.552618 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 0.907099 0.951813 0.928918 13572
20 0.921911 0.631789 0.749763 2504
avg / total 0.871134 0.856363 0.859028 17579
Classification report for turbine 8, turbine category 7
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
Classification report for turbine 8, turbine category 8
precision recall f1-score support
10 0.300000 0.007979 0.015544 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 0.895523 0.987584 0.939303 13531
20 0.633953 0.668894 0.650955 2395
avg / total 0.788512 0.851641 0.812358 17579
Classification report for turbine 8, turbine category 9
precision recall f1-score support
10 0.028037 0.032609 0.030151 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 0.934585 0.969021 0.951491 13977
20 0.812174 0.636673 0.713794 2934
avg / total 0.878786 0.876899 0.875820 17579
Classification report for turbine 8, turbine category 10
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
Classification report for turbine 8, turbine category 11
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 0.838302 0.991188 0.908357 12710
20 0.947864 0.711386 0.812773 3399
avg / total 0.789385 0.854201 0.813916 17579
Classification report for turbine 8, turbine category 12
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
Classification report for turbine 8, turbine category 13
precision recall f1-score support
19 0.932992 0.991654 0.961429 14139
20 0.953744 0.707267 0.812218 3440
avg / total 0.937053 0.936003 0.932230 17579
------------------------------------------------------------------------
Classification report for turbine 8, turbine category 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.904572 0.949258 0.926377 12672
20.0 0.958879 0.522723 0.676602 4907
avg / total 0.919731 0.830195 0.856655 17579
Classification report for turbine 8, turbine category 1
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 0.936688 0.985063 0.960266 12586
20 0.904444 0.835923 0.868834 4699
avg / total 0.912403 0.928722 0.919766 17579
Classification report for turbine 8, turbine category 2
precision recall f1-score support
19 0.941448 0.983349 0.961942 12672
20 0.951416 0.842062 0.893405 4907
avg / total 0.944230 0.943910 0.942811 17579
Classification report for turbine 8, turbine category 3
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 0.920973 0.982985 0.950969 12401
20 0.947271 0.842342 0.891731 4884
avg / total 0.912877 0.927470 0.918606 17579
Classification report for turbine 8, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.942586 0.980745 0.961287 12672
20.0 0.950385 0.804157 0.871178 4907
avg / total 0.944763 0.931452 0.936134 17579
Classification report for turbine 8, turbine category 5
precision recall f1-score support
19 0.941448 0.983349 0.961942 12672
20 0.951416 0.842062 0.893405 4907
avg / total 0.944230 0.943910 0.942811 17579
Classification report for turbine 8, turbine category 6
precision recall f1-score support
10 0.004444 0.066667 0.008333 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 0.926215 0.978254 0.951523 12370
20 0.945463 0.821487 0.879126 4896
avg / total 0.915088 0.917231 0.914425 17579
Classification report for turbine 8, turbine category 7
precision recall f1-score support
19 0.941448 0.983349 0.961942 12672
20 0.951416 0.842062 0.893405 4907
avg / total 0.944230 0.943910 0.942811 17579
Classification report for turbine 8, turbine category 8
precision recall f1-score support
10 0.118728 0.619926 0.199288 271
11 0.153846 0.011111 0.020725 180
12 0.000000 0.000000 0.000000 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 0.037037 0.009259 0.014815 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.873307 0.970235 0.919222 11893
20 0.878920 0.539150 0.668331 4470
avg / total 0.817958 0.803231 0.795215 17579
Classification report for turbine 8, turbine category 9
precision recall f1-score support
10 0.006289 0.005917 0.006098 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 0.912518 0.975293 0.942862 12385
20 0.912124 0.709943 0.798433 4737
avg / total 0.888750 0.878491 0.879490 17579
Classification report for turbine 8, turbine category 10
precision recall f1-score support
19 0.941448 0.983349 0.961942 12672
20 0.951416 0.842062 0.893405 4907
avg / total 0.944230 0.943910 0.942811 17579
Classification report for turbine 8, turbine category 11
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 0.050000 0.006944 0.012195 144
16 0.000000 0.000000 0.000000 144
17 0.083333 0.006944 0.012821 144
18 0.000000 0.000000 0.000000 144
19 0.899160 0.955067 0.926271 11773
20 0.886170 0.923110 0.904263 4630
avg / total 0.836679 0.882872 0.858714 17579
Classification report for turbine 8, turbine category 12
precision recall f1-score support
19 0.941448 0.983349 0.961942 12672
20 0.951416 0.842062 0.893405 4907
avg / total 0.944230 0.943910 0.942811 17579
Classification report for turbine 8, turbine category 13
precision recall f1-score support
19 0.941448 0.983349 0.961942 12672
20 0.951416 0.842062 0.893405 4907
avg / total 0.944230 0.943910 0.942811 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.059006 0.129252 0.081023 147
11 0.024194 0.034884 0.028571 86
12 0.010753 0.013889 0.012121 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 0.920595 0.987082 0.952680 13237
20 0.933388 0.629681 0.752029 3605
avg / total 0.885278 0.873713 0.872457 17579
Classification report for turbine 8, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.958613 0.993778 0.975878 13821
20.0 0.974715 0.841139 0.903014 3758
avg / total 0.962055 0.961147 0.960302 17579
Classification report for turbine 8, turbine category 2
precision recall f1-score support
19 0.958296 0.994212 0.975923 13821
20 0.975309 0.840873 0.903115 3758
avg / total 0.961933 0.961431 0.960359 17579
Classification report for turbine 8, turbine category 3
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 0.938233 0.993423 0.965039 13532
20 0.938001 0.836359 0.884269 3636
avg / total 0.916249 0.937710 0.925770 17579
Classification report for turbine 8, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.959201 0.993416 0.976009 13821
20.0 0.975670 0.843002 0.904497 3758
avg / total 0.962722 0.961261 0.960721 17579
Classification report for turbine 8, turbine category 5
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 0.897901 0.994669 0.943811 12944
20 0.937346 0.841274 0.886715 3610
avg / total 0.853646 0.905171 0.877054 17579
Classification report for turbine 8, turbine category 6
precision recall f1-score support
10 0.006470 0.024138 0.010204 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 0.936584 0.974885 0.955351 13498
20 0.812448 0.587306 0.681771 3356
avg / total 0.874365 0.861084 0.863889 17579
Classification report for turbine 8, turbine category 7
precision recall f1-score support
19 0.958296 0.994212 0.975923 13821
20 0.975309 0.840873 0.903115 3758
avg / total 0.961933 0.961431 0.960359 17579
Classification report for turbine 8, turbine category 8
precision recall f1-score support
10 0.009485 0.500000 0.018617 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 0.941264 0.986136 0.963178 13488
20 0.939811 0.624393 0.750300 3501
avg / total 0.909391 0.881393 0.888469 17579
Classification report for turbine 8, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.960988 0.990956 0.975742 13821
20.0 0.974323 0.737094 0.839267 3758
avg / total 0.963839 0.936686 0.946566 17579
Classification report for turbine 8, turbine category 10
precision recall f1-score support
19 0.958296 0.994212 0.975923 13821
20 0.975309 0.840873 0.903115 3758
avg / total 0.961933 0.961431 0.960359 17579
Classification report for turbine 8, turbine category 11
precision recall f1-score support
10 0.142857 0.142857 0.142857 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 0.941005 0.978976 0.959615 13556
20 0.968808 0.841470 0.900660 3728
avg / total 0.931167 0.933443 0.931066 17579
Classification report for turbine 8, turbine category 12
precision recall f1-score support
19 0.958296 0.994212 0.975923 13821
20 0.975309 0.840873 0.903115 3758
avg / total 0.961933 0.961431 0.960359 17579
Classification report for turbine 8, turbine category 13
precision recall f1-score support
19 0.958296 0.994212 0.975923 13821
20 0.975309 0.840873 0.903115 3758
avg / total 0.961933 0.961431 0.960359 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.218750 0.036458 0.062500 192
11 0.000000 0.000000 0.000000 301
12 0.304348 0.024306 0.045016 288
13 0.153846 0.007220 0.013793 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 0.878916 0.993489 0.932697 13977
20 0.788715 0.810567 0.799492 1552
avg / total 0.778256 0.862393 0.813807 17579
Classification report for turbine 8, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.983780 0.995275 0.989494 15662
20.0 0.966764 0.864893 0.912996 1917
avg / total 0.981925 0.981057 0.981152 17579
Classification report for turbine 8, turbine category 2
precision recall f1-score support
19 0.983735 0.996297 0.989976 15662
20 0.966220 0.865415 0.913043 1917
avg / total 0.981825 0.982024 0.981586 17579
Classification report for turbine 8, turbine category 3
precision recall f1-score support
10 0.000000 0.000000 0.000000 43
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 0.966905 0.992530 0.979550 15395
20 0.931937 0.864544 0.896976 1853
avg / total 0.945013 0.960350 0.952402 17579
Classification report for turbine 8, turbine category 4
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 0.967093 0.996298 0.981479 15398
20 0.905738 0.861359 0.882991 1796
avg / total 0.939644 0.960692 0.949921 17579
Classification report for turbine 8, turbine category 5
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.927940 0.994248 0.959950 14778
20 0.955814 0.865263 0.908287 1900
avg / total 0.883392 0.929348 0.905165 17579
Classification report for turbine 8, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.983585 0.994701 0.989111 15662
20.0 0.965600 0.834637 0.895355 1917
avg / total 0.981624 0.977246 0.978887 17579
Classification report for turbine 8, turbine category 7
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 0.967596 0.996688 0.981926 15399
20 0.869540 0.858046 0.863755 1740
avg / total 0.933671 0.958018 0.945652 17579
Classification report for turbine 8, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984062 0.993424 0.988720 15662
20.0 0.965740 0.779343 0.862587 1917
avg / total 0.982064 0.970078 0.974966 17579
Classification report for turbine 8, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984081 0.994637 0.989331 15662
20.0 0.962508 0.816901 0.883747 1917
avg / total 0.981728 0.975255 0.977817 17579
Classification report for turbine 8, turbine category 10
precision recall f1-score support
19 0.983735 0.996297 0.989976 15662
20 0.966220 0.865415 0.913043 1917
avg / total 0.981825 0.982024 0.981586 17579
Classification report for turbine 8, turbine category 11
precision recall f1-score support
10 0.333333 0.052632 0.090909 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 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.931175 0.987920 0.958709 14818
20 0.951772 0.872204 0.910253 1878
avg / total 0.886962 0.925991 0.905474 17579
Classification report for turbine 8, turbine category 12
precision recall f1-score support
19 0.983735 0.996297 0.989976 15662
20 0.966220 0.865415 0.913043 1917
avg / total 0.981825 0.982024 0.981586 17579
Classification report for turbine 8, turbine category 13
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 0.965578 0.996227 0.980663 15374
20 0.959814 0.865546 0.910246 1904
avg / total 0.948420 0.965015 0.956245 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.125000 0.111111 0.117647 36
18 0.000000 0.000000 0.000000 36
19 0.976272 0.990593 0.983381 15202
20 0.937466 0.835255 0.883414 2082
avg / total 0.955549 0.955800 0.955279 17579
Classification report for turbine 8, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
19.0 0.989508 0.997017 0.993248 15419
20.0 0.977952 0.924074 0.950250 2160
avg / total 0.988088 0.988054 0.987965 17579
Classification report for turbine 8, turbine category 2
precision recall f1-score support
19 0.989382 0.997146 0.993249 15419
20 0.978421 0.923611 0.950226 2160
avg / total 0.988035 0.988111 0.987963 17579
Classification report for turbine 8, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989552 0.995136 0.992336 15419
20.0 0.976401 0.919444 0.947067 2160
avg / total 0.987936 0.985835 0.986774 17579
Classification report for turbine 8, turbine category 4
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 0.976377 0.996977 0.986570 15215
20 0.923608 0.916381 0.919980 2045
avg / total 0.952521 0.969509 0.960920 17579
Classification report for turbine 8, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989521 0.992088 0.990803 15419
20.0 0.978660 0.912963 0.944671 2160
avg / total 0.988186 0.982365 0.985134 17579
Classification report for turbine 8, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 85
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 252
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 0.886169 0.996018 0.937888 13811
20 0.749509 0.915417 0.824197 1667
avg / total 0.767297 0.869333 0.815012 17579
Classification report for turbine 8, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.989381 0.997017 0.993184 15419
20.0 0.977688 0.892593 0.933204 2160
avg / total 0.987944 0.984186 0.985814 17579
Classification report for turbine 8, turbine category 8
precision recall f1-score support
10 0.629032 0.569343 0.597701 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 0.953538 0.995827 0.974224 14859
20 0.924440 0.909744 0.917033 1950
avg / total 0.913445 0.947096 0.929865 17579
Classification report for turbine 8, turbine category 9
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 0.972092 0.995906 0.983855 15144
20 0.966395 0.886088 0.924501 2142
avg / total 0.955195 0.965925 0.960224 17579
Classification report for turbine 8, turbine category 10
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 0.970849 0.997224 0.983860 15129
20 0.899461 0.918838 0.909046 1996
avg / total 0.937670 0.962569 0.949956 17579
Classification report for turbine 8, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.076923 0.009259 0.016529 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 0.937266 0.993079 0.964365 14593
20 0.957157 0.934855 0.945874 2103
avg / total 0.893039 0.936288 0.913814 17579
Classification report for turbine 8, turbine category 12
precision recall f1-score support
19 0.989382 0.997146 0.993249 15419
20 0.978421 0.923611 0.950226 2160
avg / total 0.988035 0.988111 0.987963 17579
Classification report for turbine 8, turbine category 13
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 0.971280 0.996433 0.983695 15137
20 0.974007 0.925443 0.949104 2146
avg / total 0.955258 0.970988 0.962909 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 1
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 2
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
19.0 0.966637 0.991643 0.978980 17589
20.0 0.943842 0.801381 0.866797 3041
avg / total 0.963277 0.963597 0.962444 20630
Classification report for turbine 9, turbine category 4
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 5
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 6
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 0.851089 0.991417 0.915909 15496
20 0.690070 0.773815 0.729547 2299
avg / total 0.716187 0.830926 0.769276 20630
Classification report for turbine 9, turbine category 7
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 8
precision recall f1-score support
10 0.689320 0.556863 0.616052 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 0.937374 0.986464 0.961293 16918
20 0.905186 0.797749 0.848078 2932
avg / total 0.905878 0.929229 0.916471 20630
Classification report for turbine 9, turbine category 9
precision recall f1-score support
10 0.421067 0.969155 0.587070 1621
11 0.021514 0.500000 0.041253 220
12 0.006084 0.061111 0.011066 180
13 0.009162 0.038889 0.014831 180
14 0.001401 0.005556 0.002237 180
15 0.000000 0.000000 0.000000 180
16 0.014851 0.016667 0.015707 180
17 0.000000 0.000000 0.000000 169
18 0.000000 0.000000 0.000000 144
19 0.931388 0.406423 0.565906 16099
20 0.362637 0.022343 0.042092 1477
avg / total 0.786378 0.401309 0.491580 20630
Classification report for turbine 9, turbine category 10
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 38
11 0.000000 0.000000 0.000000 216
12 0.004386 0.004630 0.004505 216
13 0.000000 0.000000 0.000000 216
14 0.000000 0.000000 0.000000 216
15 0.018519 0.004630 0.007407 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 0.879127 0.935735 0.906548 15934
20 0.904797 0.849829 0.876452 2930
avg / total 0.807756 0.843529 0.824795 20630
Classification report for turbine 9, turbine category 12
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 20630
Classification report for turbine 9, turbine category 13
precision recall f1-score support
19 0.966650 0.992040 0.979181 17589
20 0.945715 0.802039 0.867972 3041
avg / total 0.963564 0.964033 0.962788 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.920183 0.955871 0.937688 10288
20 0.950216 0.960358 0.955260 9838
avg / total 0.912025 0.934658 0.923159 20630
Classification report for turbine 9, turbine category 1
precision recall f1-score support
19 0.962758 0.957651 0.960198 10744
20 0.954239 0.959741 0.956982 9886
avg / total 0.958676 0.958652 0.958657 20630
Classification report for turbine 9, turbine category 2
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 0.935716 0.956480 0.945984 10455
20 0.953435 0.959708 0.956561 9878
avg / total 0.930729 0.944256 0.937430 20630
Classification report for turbine 9, turbine category 3
precision recall f1-score support
10 0.035714 0.009804 0.015385 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 0.932001 0.956297 0.943992 10434
20 0.943770 0.954387 0.949049 9778
avg / total 0.918872 0.936064 0.927338 20630
Classification report for turbine 9, turbine category 4
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 0.958080 0.957453 0.957766 10694
20 0.930806 0.959764 0.945063 9643
avg / total 0.931724 0.944935 0.938226 20630
Classification report for turbine 9, turbine category 5
precision recall f1-score support
19 0.962758 0.957651 0.960198 10744
20 0.954239 0.959741 0.956982 9886
avg / total 0.958676 0.958652 0.958657 20630
Classification report for turbine 9, turbine category 6
precision recall f1-score support
10 0.188382 0.630556 0.290096 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 0.939807 0.928171 0.933953 10177
20 0.910980 0.921443 0.916182 9229
avg / total 0.874439 0.881095 0.875653 20630
Classification report for turbine 9, turbine category 7
precision recall f1-score support
19 0.962758 0.957651 0.960198 10744
20 0.954239 0.959741 0.956982 9886
avg / total 0.958676 0.958652 0.958657 20630
Classification report for turbine 9, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.962745 0.942852 0.952694 10744
20.0 0.954624 0.951244 0.952931 9886
avg / total 0.958853 0.946873 0.952808 20630
Classification report for turbine 9, turbine category 9
precision recall f1-score support
10 0.850469 0.730482 0.785922 8697
11 0.001502 0.001828 0.001649 547
12 0.000000 0.000000 0.000000 350
13 0.000000 0.000000 0.000000 288
14 0.044118 0.011236 0.017910 267
15 0.000000 0.000000 0.000000 223
16 0.038462 0.014019 0.020548 214
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.679971 0.902963 0.775760 7358
20 0.564640 0.567068 0.565852 2326
avg / total 0.665727 0.694280 0.672296 20630
Classification report for turbine 9, turbine category 10
precision recall f1-score support
19 0.962758 0.957651 0.960198 10744
20 0.954239 0.959741 0.956982 9886
avg / total 0.958676 0.958652 0.958657 20630
Classification report for turbine 9, turbine category 11
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.963369 0.939966 0.951524 10744
20.0 0.954615 0.951042 0.952825 9886
avg / total 0.959174 0.945274 0.952147 20630
Classification report for turbine 9, turbine category 12
precision recall f1-score support
19 0.962758 0.957651 0.960198 10744
20 0.954239 0.959741 0.956982 9886
avg / total 0.958676 0.958652 0.958657 20630
Classification report for turbine 9, turbine category 13
precision recall f1-score support
19 0.962758 0.957651 0.960198 10744
20 0.954239 0.959741 0.956982 9886
avg / total 0.958676 0.958652 0.958657 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10 0.078740 0.048077 0.059701 208
11 0.000000 0.000000 0.000000 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 0.947234 0.983163 0.964864 16214
20 0.938877 0.920626 0.929662 3704
avg / total 0.913836 0.938488 0.925845 20630
Classification report for turbine 9, turbine category 1
precision recall f1-score support
19 0.987099 0.987216 0.987157 16896
20 0.942122 0.941618 0.941870 3734
avg / total 0.978958 0.978963 0.978960 20630
Classification report for turbine 9, turbine category 2
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.987068 0.984848 0.985957 16896
20.0 0.942122 0.941618 0.941870 3734
avg / total 0.978933 0.977024 0.977977 20630
Classification report for turbine 9, turbine category 3
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 0.971875 0.986596 0.979180 16637
20 0.932672 0.939984 0.936313 3699
avg / total 0.950996 0.964178 0.957540 20630
Classification report for turbine 9, turbine category 4
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 0.969582 0.986988 0.978208 16600
20 0.942107 0.941350 0.941728 3734
avg / total 0.950698 0.964566 0.957570 20630
Classification report for turbine 9, turbine category 5
precision recall f1-score support
19 0.987099 0.987216 0.987157 16896
20 0.942122 0.941618 0.941870 3734
avg / total 0.978958 0.978963 0.978960 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 6
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 0.959528 0.985455 0.972319 16432
20 0.897731 0.723692 0.801371 3554
avg / total 0.918929 0.909598 0.912517 20630
Classification report for turbine 9, turbine category 7
precision recall f1-score support
19 0.987099 0.987216 0.987157 16896
20 0.942122 0.941618 0.941870 3734
avg / total 0.978958 0.978963 0.978960 20630
Classification report for turbine 9, turbine category 8
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 0.962133 0.985374 0.973615 16477
20 0.896431 0.937430 0.916472 3564
avg / total 0.923313 0.948958 0.935946 20630
Classification report for turbine 9, turbine category 9
precision recall f1-score support
10 0.095843 0.669065 0.167668 417
11 0.006211 0.001992 0.003017 502
12 0.028571 0.009615 0.014388 416
13 0.011628 0.002841 0.004566 352
14 0.011628 0.003472 0.005348 288
15 0.000000 0.000000 0.000000 259
16 0.022222 0.003968 0.006734 252
17 0.025000 0.004292 0.007326 233
18 0.000000 0.000000 0.000000 216
19 0.834080 0.912176 0.871382 14290
20 0.949153 0.411160 0.573770 3405
avg / total 0.737989 0.713669 0.702361 20630
Classification report for turbine 9, turbine category 10
precision recall f1-score support
19 0.987099 0.987216 0.987157 16896
20 0.942122 0.941618 0.941870 3734
avg / total 0.978958 0.978963 0.978960 20630
Classification report for turbine 9, turbine category 11
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 0.935990 0.974357 0.954789 16028
20 0.935072 0.944624 0.939823 3720
avg / total 0.895808 0.927339 0.911270 20630
Classification report for turbine 9, turbine category 12
precision recall f1-score support
19 0.987099 0.987216 0.987157 16896
20 0.942122 0.941618 0.941870 3734
avg / total 0.978958 0.978963 0.978960 20630
Classification report for turbine 9, turbine category 13
precision recall f1-score support
19 0.987099 0.987216 0.987157 16896
20 0.942122 0.941618 0.941870 3734
avg / total 0.978958 0.978963 0.978960 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 60
11.0 0.000000 0.000000 0.000000 36
12.0 0.000000 0.000000 0.000000 36
13.0 0.000000 0.000000 0.000000 36
14.0 0.000000 0.000000 0.000000 36
15.0 0.000000 0.000000 0.000000 36
16.0 0.000000 0.000000 0.000000 32
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.974665 0.994357 0.984413 17720
20.0 0.946846 0.904852 0.925373 2638
avg / total 0.958257 0.969801 0.963884 20630
Classification report for turbine 9, turbine category 1
precision recall f1-score support
19 0.986192 0.995484 0.990816 17936
20 0.967921 0.907201 0.936578 2694
avg / total 0.983806 0.983955 0.983733 20630
Classification report for turbine 9, turbine category 2
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.986189 0.995317 0.990732 17936
20.0 0.967921 0.907201 0.936578 2694
avg / total 0.983804 0.983810 0.983660 20630
Classification report for turbine 9, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.986133 0.995149 0.990620 17936
20.0 0.966680 0.893838 0.928833 2694
avg / total 0.983592 0.981920 0.982552 20630
Classification report for turbine 9, turbine category 4
precision recall f1-score support
10 0.000000 0.000000 0.000000 53
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 0.945894 0.994942 0.969798 17202
20 0.898574 0.903226 0.900894 2511
avg / total 0.898089 0.939554 0.918304 20630
Classification report for turbine 9, turbine category 5
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 0.936371 0.995245 0.964911 17034
20 0.838020 0.896990 0.866503 2359
avg / total 0.868979 0.924333 0.895801 20630
Classification report for turbine 9, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986164 0.993477 0.989807 17936
20.0 0.966172 0.869339 0.915201 2694
avg / total 0.983553 0.977266 0.980064 20630
Classification report for turbine 9, turbine category 7
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 0.975697 0.995492 0.985495 17745
20 0.921584 0.907920 0.914701 2563
avg / total 0.953745 0.969074 0.961318 20630
Classification report for turbine 9, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 1.000000 0.014925 0.029412 67
19 0.959737 0.994384 0.976753 17451
20 0.823180 0.900476 0.860095 2311
avg / total 0.907307 0.942075 0.922684 20630
Classification report for turbine 9, turbine category 9
precision recall f1-score support
10 0.445885 0.791000 0.570296 1000
11 0.046414 0.010967 0.017742 1003
12 0.021277 0.002395 0.004306 835
13 0.073529 0.006579 0.012077 760
14 0.104167 0.007013 0.013141 713
15 0.346939 0.024854 0.046385 684
16 0.216667 0.019259 0.035374 675
17 0.000000 0.000000 0.000000 613
18 0.000000 0.000000 0.000000 574
19 0.686221 0.964914 0.802048 12341
20 0.648910 0.374302 0.474756 1432
avg / total 0.505177 0.644111 0.545020 20630
Classification report for turbine 9, turbine category 10
precision recall f1-score support
19 0.986192 0.995484 0.990816 17936
20 0.967921 0.907201 0.936578 2694
avg / total 0.983806 0.983955 0.983733 20630
Classification report for turbine 9, turbine category 11
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 0.955510 0.987626 0.971302 17375
20 0.956265 0.910011 0.932565 2667
avg / total 0.928373 0.949443 0.938610 20630
Classification report for turbine 9, turbine category 12
precision recall f1-score support
19 0.986192 0.995484 0.990816 17936
20 0.967921 0.907201 0.936578 2694
avg / total 0.983806 0.983955 0.983733 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 13
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 0.845954 0.995839 0.914798 15380
20 0.802772 0.912241 0.854013 2222
avg / total 0.717137 0.840669 0.773980 20630
------------------------------------------------------------------------
Classification report for turbine 9, turbine category 0
precision recall f1-score support
10 0.405405 0.288462 0.337079 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 0.974535 0.992759 0.983563 17540
20 0.953368 0.936727 0.944974 2750
avg / total 0.956675 0.969656 0.963059 20630
Classification report for turbine 9, turbine category 1
precision recall f1-score support
19 0.990345 0.995400 0.992866 17827
20 0.969764 0.938280 0.953762 2803
avg / total 0.987549 0.987639 0.987553 20630
Classification report for turbine 9, turbine category 2
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
19.0 0.990343 0.995176 0.992753 17827
20.0 0.969764 0.938280 0.953762 2803
avg / total 0.987547 0.987445 0.987456 20630
Classification report for turbine 9, turbine category 3
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 0.981023 0.995469 0.988193 17656
20 0.911898 0.914998 0.913445 2647
avg / total 0.956603 0.969365 0.962939 20630
Classification report for turbine 9, turbine category 4
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 0.958833 0.992118 0.975192 17255
20 0.961922 0.940709 0.951197 2766
avg / total 0.930942 0.955938 0.943187 20630
Classification report for turbine 9, turbine category 5
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 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.925287 0.991776 0.957378 16658
20 0.767286 0.920196 0.836813 2243
avg / total 0.830560 0.900873 0.864032 20630
Classification report for turbine 9, turbine category 6
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 0.000000 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 0.942803 0.994579 0.967999 16971
20 0.933432 0.935161 0.934296 2699
avg / total 0.897704 0.940524 0.918545 20630
Classification report for turbine 9, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.990454 0.995232 0.992837 17827
20.0 0.969764 0.938280 0.953762 2803
avg / total 0.987643 0.987494 0.987528 20630
Classification report for turbine 9, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990584 0.991418 0.991001 17827
20.0 0.967730 0.930788 0.948900 2803
avg / total 0.987479 0.983180 0.985280 20630
Classification report for turbine 9, turbine category 9
precision recall f1-score support
10 0.561169 0.696375 0.621503 1324
11 0.123037 0.037480 0.057457 1254
12 0.060606 0.007273 0.012987 1100
13 0.068627 0.006816 0.012400 1027
14 0.039735 0.006508 0.011184 922
15 0.035211 0.005562 0.009606 899
16 0.022556 0.003628 0.006250 827
17 0.049645 0.009044 0.015301 774
18 0.000000 0.000000 0.000000 711
19 0.583862 0.935366 0.718950 10428
20 0.700772 0.532258 0.605000 1364
avg / total 0.397681 0.556714 0.449847 20630
Classification report for turbine 9, turbine category 10
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 0.974718 0.995327 0.984915 17547
20 0.965708 0.939383 0.952364 2788
avg / total 0.959562 0.973534 0.966432 20630
Classification report for turbine 9, turbine category 11
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 0.958827 0.989336 0.973843 17254
20 0.962949 0.941535 0.952122 2788
avg / total 0.932056 0.954678 0.943151 20630
Classification report for turbine 9, turbine category 12
precision recall f1-score support
19 0.990345 0.995400 0.992866 17827
20 0.969764 0.938280 0.953762 2803
avg / total 0.987549 0.987639 0.987553 20630
Classification report for turbine 9, turbine category 13
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990402 0.989847 0.990125 17827
20.0 0.966296 0.930788 0.948210 2803
avg / total 0.987127 0.981823 0.984430 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.983198 0.871906 0.924214 19798
20.0 0.765263 0.789936 0.777404 2047
avg / total 0.962776 0.864225 0.910457 21845
Classification report for turbine 10, turbine category 1
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 0.964315 0.976524 0.970381 19509
20 0.777405 0.796469 0.786822 2039
avg / total 0.933758 0.946441 0.940054 21845
Classification report for turbine 10, turbine category 2
precision recall f1-score support
19 0.978842 0.976765 0.977802 19798
20 0.779799 0.795799 0.787718 2047
avg / total 0.960190 0.959808 0.959990 21845
Classification report for turbine 10, turbine category 3
precision recall f1-score support
10 0.000000 0.000000 0.000000 491
11 0.040000 0.001946 0.003711 514
12 0.000000 0.000000 0.000000 375
13 0.000000 0.000000 0.000000 302
14 0.181818 0.007547 0.014493 265
15 0.000000 0.000000 0.000000 252
16 0.000000 0.000000 0.000000 252
17 0.090909 0.003968 0.007605 252
18 0.000000 0.000000 0.000000 252
19 0.855877 0.969987 0.909366 17326
20 0.559387 0.746803 0.639650 1564
avg / total 0.723070 0.822980 0.767396 21845
Classification report for turbine 10, turbine category 4
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 0.958972 0.879498 0.917517 19427
20 0.734002 0.761268 0.747386 2019
avg / total 0.920664 0.852506 0.885034 21845
Classification report for turbine 10, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.982459 0.961865 0.972053 19798
20.0 0.773281 0.774792 0.774036 2047
avg / total 0.962858 0.944335 0.953497 21845
Classification report for turbine 10, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 42
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.008065 0.006944 0.007463 144
14 0.125000 0.020833 0.035714 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 0.932389 0.958958 0.945487 18810
20 0.668077 0.771863 0.716230 1841
avg / total 0.860029 0.890959 0.874773 21845
Classification report for turbine 10, turbine category 7
precision recall f1-score support
19 0.978842 0.976765 0.977802 19798
20 0.779799 0.795799 0.787718 2047
avg / total 0.960190 0.959808 0.959990 21845
Classification report for turbine 10, turbine category 8
precision recall f1-score support
10 0.124555 0.315315 0.178571 222
11 0.104712 0.108499 0.106572 553
12 0.070727 0.066667 0.068637 540
13 0.054054 0.037175 0.044053 538
14 0.018072 0.011905 0.014354 504
15 0.000000 0.000000 0.000000 504
16 0.000000 0.000000 0.000000 477
17 0.016667 0.006410 0.009259 468
18 0.028777 0.008547 0.013180 468
19 0.796615 0.859155 0.826704 15833
20 0.654270 0.546605 0.595611 1738
avg / total 0.637818 0.675303 0.654679 21845
Classification report for turbine 10, turbine category 9
precision recall f1-score support
10 0.786992 0.640212 0.706054 756
11 0.000000 0.000000 0.000000 72
12 0.037037 0.041667 0.039216 72
13 0.000000 0.000000 0.000000 72
14 0.003759 0.013889 0.005917 72
15 0.000000 0.000000 0.000000 72
16 0.011834 0.027778 0.016598 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.947891 0.918915 0.933178 19202
20 0.651163 0.683448 0.666915 1311
avg / total 0.899695 0.871183 0.884936 21845
Classification report for turbine 10, turbine category 10
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.978867 0.973280 0.976066 19798
20.0 0.769703 0.796776 0.783005 2047
avg / total 0.959267 0.956741 0.957975 21845
Classification report for turbine 10, turbine category 11
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 0.000000 0.000000 0.000000 360
15 0.000000 0.000000 0.000000 360
16 0.090909 0.002959 0.005731 338
17 0.000000 0.000000 0.000000 324
18 0.000000 0.000000 0.000000 324
19 0.854102 0.978581 0.912114 17181
20 0.691651 0.802863 0.743119 1816
avg / total 0.730652 0.836439 0.779239 21845
Classification report for turbine 10, turbine category 12
precision recall f1-score support
19 0.978842 0.976765 0.977802 19798
20 0.779799 0.795799 0.787718 2047
avg / total 0.960190 0.959808 0.959990 21845
Classification report for turbine 10, turbine category 13
precision recall f1-score support
19 0.978842 0.976765 0.977802 19798
20 0.779799 0.795799 0.787718 2047
avg / total 0.960190 0.959808 0.959990 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986032 0.977765 0.981881 18844
20.0 0.954975 0.876375 0.913988 3001
avg / total 0.981766 0.963836 0.972554 21845
Classification report for turbine 10, turbine category 1
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 0.966844 0.993081 0.979787 18499
20 0.933849 0.905493 0.919453 2931
avg / total 0.944049 0.962463 0.953078 21845
Classification report for turbine 10, turbine category 2
precision recall f1-score support
19 0.984951 0.993314 0.989114 18844
20 0.955649 0.904698 0.929476 3001
avg / total 0.980925 0.981140 0.980921 21845
Classification report for turbine 10, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.985180 0.991297 0.988229 18844
20.0 0.950092 0.862712 0.904296 3001
avg / total 0.980360 0.973632 0.976699 21845
Classification report for turbine 10, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985327 0.987105 0.986215 18844
20.0 0.951409 0.776408 0.855046 3001
avg / total 0.980667 0.958160 0.968195 21845
Classification report for turbine 10, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985063 0.990395 0.987722 18844
20.0 0.953588 0.890037 0.920717 3001
avg / total 0.980739 0.976608 0.978517 21845
Classification report for turbine 10, turbine category 6
precision recall f1-score support
10 0.616766 0.301170 0.404715 342
11 0.000000 0.000000 0.000000 83
12 0.105263 0.083333 0.093023 72
13 0.011628 0.013889 0.012658 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 0.956019 0.982060 0.968865 18172
20 0.871123 0.859694 0.865371 2744
avg / total 0.914739 0.929961 0.921346 21845
Classification report for turbine 10, turbine category 7
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 0.964481 0.993173 0.978617 18455
20 0.932418 0.905641 0.918835 2925
avg / total 0.939658 0.960311 0.949781 21845
Classification report for turbine 10, turbine category 8
precision recall f1-score support
10 0.153846 0.151724 0.152778 145
11 0.062016 0.031250 0.041558 256
12 0.026316 0.007937 0.012195 252
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 252
15 0.020408 0.015873 0.017857 252
16 0.016807 0.007937 0.010782 252
17 0.102564 0.016260 0.028070 246
18 0.000000 0.000000 0.000000 216
19 0.888707 0.960080 0.923016 16984
20 0.873959 0.843316 0.858364 2738
avg / total 0.804126 0.854063 0.827498 21845
Classification report for turbine 10, turbine category 9
precision recall f1-score support
10 0.757554 0.586630 0.661224 1795
11 0.138889 0.029499 0.048662 339
12 0.015957 0.010204 0.012448 294
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 0.867636 0.976451 0.918833 16561
20 0.578723 0.723404 0.643026 1128
avg / total 0.752268 0.826413 0.785039 21845
Classification report for turbine 10, turbine category 10
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.985132 0.991562 0.988337 18844
20.0 0.955040 0.906031 0.929891 3001
avg / total 0.980998 0.979812 0.980308 21845
Classification report for turbine 10, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 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 0.958102 0.950565 0.954319 18307
20 0.935943 0.891223 0.913036 2951
avg / total 0.929363 0.917006 0.923098 21845
Classification report for turbine 10, turbine category 12
precision recall f1-score support
19 0.984951 0.993314 0.989114 18844
20 0.955649 0.904698 0.929476 3001
avg / total 0.980925 0.981140 0.980921 21845
Classification report for turbine 10, turbine category 13
precision recall f1-score support
19 0.984951 0.993314 0.989114 18844
20 0.955649 0.904698 0.929476 3001
avg / total 0.980925 0.981140 0.980921 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.461538 0.041958 0.076923 143
11 0.000000 0.000000 0.000000 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 0.968081 0.974723 0.971391 14282
20 0.931203 0.970388 0.950392 7058
avg / total 0.936808 0.951064 0.942654 21845
Classification report for turbine 10, turbine category 1
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 0.959216 0.978873 0.968945 14200
20 0.958611 0.966772 0.962674 7283
avg / total 0.943119 0.958618 0.950798 21845
Classification report for turbine 10, turbine category 2
precision recall f1-score support
19 0.983311 0.979192 0.981248 14562
20 0.958742 0.966772 0.962740 7283
avg / total 0.975120 0.975051 0.975077 21845
Classification report for turbine 10, turbine category 3
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 0.963083 0.977860 0.970415 14273
20 0.956833 0.956438 0.956635 7277
avg / total 0.947995 0.957519 0.952720 21845
Classification report for turbine 10, turbine category 4
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 0.944099 0.978401 0.960944 13982
20 0.955716 0.965850 0.960756 7262
avg / total 0.921987 0.947311 0.934444 21845
Classification report for turbine 10, turbine category 5
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.982881 0.977819 0.980344 14562
20.0 0.957067 0.921324 0.938855 7283
avg / total 0.974275 0.958984 0.966512 21845
Classification report for turbine 10, turbine category 6
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 0.166667 0.027778 0.047619 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 0.958919 0.975269 0.967025 14193
20 0.868086 0.912012 0.889507 6660
avg / total 0.887956 0.911742 0.899557 21845
Classification report for turbine 10, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.983573 0.978574 0.981067 14562
20.0 0.958753 0.967047 0.962882 7283
avg / total 0.975298 0.974731 0.975004 21845
Classification report for turbine 10, turbine category 8
precision recall f1-score support
10 0.201102 0.477124 0.282946 153
11 0.000000 0.000000 0.000000 116
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 0.921462 0.962140 0.941362 13682
20 0.948075 0.879938 0.912737 7138
avg / total 0.888330 0.893477 0.889820 21845
Classification report for turbine 10, turbine category 9
precision recall f1-score support
10 0.002971 0.151163 0.005828 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 0.954280 0.967339 0.960765 14176
20 0.867500 0.346653 0.495360 7007
avg / total 0.897537 0.739528 0.782389 21845
Classification report for turbine 10, turbine category 10
precision recall f1-score support
19 0.983311 0.979192 0.981248 14562
20 0.958742 0.966772 0.962740 7283
avg / total 0.975120 0.975051 0.975077 21845
Classification report for turbine 10, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
11 0.083333 0.013889 0.023810 144
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.046512 0.013889 0.021390 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 0.918172 0.962775 0.939945 13566
20 0.939953 0.960862 0.950292 7103
avg / total 0.876682 0.910506 0.893006 21845
Classification report for turbine 10, turbine category 12
precision recall f1-score support
19 0.983311 0.979192 0.981248 14562
20 0.958742 0.966772 0.962740 7283
avg / total 0.975120 0.975051 0.975077 21845
Classification report for turbine 10, turbine category 13
precision recall f1-score support
19 0.983311 0.979192 0.981248 14562
20 0.958742 0.966772 0.962740 7283
avg / total 0.975120 0.975051 0.975077 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.996221 0.994015 0.995117 21219
20.0 0.855769 0.853035 0.854400 626
avg / total 0.992197 0.989975 0.991084 21845
Classification report for turbine 10, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.995937 0.993449 0.994692 21219
20.0 0.838863 0.848243 0.843527 626
avg / total 0.991436 0.989288 0.990360 21845
Classification report for turbine 10, turbine category 2
precision recall f1-score support
19 0.995946 0.995617 0.995781 21219
20 0.853081 0.862620 0.857824 626
avg / total 0.991852 0.991806 0.991828 21845
Classification report for turbine 10, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.996035 0.994533 0.995284 21219
20.0 0.839934 0.813099 0.826299 626
avg / total 0.991562 0.989334 0.990441 21845
Classification report for turbine 10, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996079 0.993685 0.994881 21219
20.0 0.840062 0.864217 0.851969 626
avg / total 0.991608 0.989975 0.990785 21845
Classification report for turbine 10, turbine category 5
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 0.937842 0.994947 0.965551 19987
20 0.756800 0.869485 0.809239 544
avg / total 0.876921 0.931975 0.903579 21845
Classification report for turbine 10, turbine category 6
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 0.981757 0.993211 0.987451 20915
20 0.757188 0.833040 0.793305 569
avg / total 0.959684 0.972625 0.966076 21845
Classification report for turbine 10, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.995895 0.994675 0.995284 21219
20.0 0.850722 0.846645 0.848679 626
avg / total 0.991735 0.990433 0.991083 21845
Classification report for turbine 10, turbine category 8
precision recall f1-score support
10 0.761905 0.727273 0.744186 110
11 0.100000 0.013889 0.024390 144
12 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 72
19 0.956689 0.986746 0.971485 20371
20 0.769663 0.809055 0.788868 508
avg / total 0.914530 0.942733 0.928187 21845
Classification report for turbine 10, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996013 0.988878 0.992432 21219
20.0 0.848229 0.803514 0.825267 626
avg / total 0.991778 0.983566 0.987642 21845
Classification report for turbine 10, turbine category 10
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.995945 0.995523 0.995734 21219
20.0 0.853081 0.862620 0.857824 626
avg / total 0.991851 0.991714 0.991782 21845
Classification report for turbine 10, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 17
11 0.000000 0.000000 0.000000 108
12 0.055556 0.009259 0.015873 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 0.955671 0.988354 0.971738 20351
20 0.824534 0.866232 0.844869 613
avg / total 0.913724 0.945113 0.929066 21845
Classification report for turbine 10, turbine category 12
precision recall f1-score support
19 0.995946 0.995617 0.995781 21219
20 0.853081 0.862620 0.857824 626
avg / total 0.991852 0.991806 0.991828 21845
Classification report for turbine 10, turbine category 13
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
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 0.983547 0.995562 0.989518 20956
20 0.796209 0.857143 0.825553 588
avg / total 0.964952 0.978119 0.971470 21845
------------------------------------------------------------------------
Classification report for turbine 10, turbine category 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.998067 0.997644 0.997856 21225
20.0 0.938412 0.933871 0.936136 620
avg / total 0.996374 0.995834 0.996104 21845
Classification report for turbine 10, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.998019 0.997032 0.997525 21225
20.0 0.930757 0.932258 0.931507 620
avg / total 0.996110 0.995193 0.995652 21845
Classification report for turbine 10, turbine category 2
precision recall f1-score support
19 0.998021 0.998115 0.998068 21225
20 0.935275 0.932258 0.933764 620
avg / total 0.996241 0.996246 0.996243 21845
Classification report for turbine 10, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.998021 0.997974 0.997998 21225
20.0 0.929577 0.851613 0.888889 620
avg / total 0.996079 0.993820 0.994901 21845
Classification report for turbine 10, turbine category 4
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 0.984537 0.997373 0.990914 20939
20 0.905229 0.918740 0.911934 603
avg / total 0.968692 0.981369 0.974989 21845
Classification report for turbine 10, turbine category 5
precision recall f1-score support
10 1.000000 0.043478 0.083333 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 0.972855 0.994345 0.983483 20689
20 0.837662 0.926391 0.879795 557
avg / total 0.943785 0.965393 0.953959 21845
Classification report for turbine 10, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 85
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 0.421053 0.046243 0.083333 173
18 0.000000 0.000000 0.000000 144
19 0.936697 0.995132 0.965031 19925
20 0.582000 0.664384 0.620469 438
avg / total 0.869373 0.921355 0.893313 21845
Classification report for turbine 10, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.998021 0.997739 0.997880 21225
20.0 0.935275 0.932258 0.933764 620
avg / total 0.996240 0.995880 0.996060 21845
Classification report for turbine 10, turbine category 8
precision recall f1-score support
10 0.040000 0.021739 0.028169 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 0.973532 0.989376 0.981390 20707
20 0.766892 0.879845 0.819495 516
avg / total 0.941015 0.958663 0.949681 21845
Classification report for turbine 10, turbine category 9
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 0.984284 0.996179 0.990195 20935
20 0.909278 0.714749 0.800363 617
avg / total 0.968963 0.974868 0.971552 21845
Classification report for turbine 10, turbine category 10
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
19.0 0.998021 0.998021 0.998021 21225
20.0 0.935275 0.932258 0.933764 620
avg / total 0.996240 0.996155 0.996197 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
11 0.017544 0.006944 0.009950 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 0.076923 0.006944 0.012739 144
16 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.058824 0.006944 0.012422 144
19 0.943878 0.987686 0.965285 20059
20 0.910569 0.918033 0.914286 610
avg / total 0.893146 0.932708 0.912128 21845
Classification report for turbine 10, turbine category 12
precision recall f1-score support
19 0.998021 0.998115 0.998068 21225
20 0.935275 0.932258 0.933764 620
avg / total 0.996241 0.996246 0.996243 21845
Classification report for turbine 10, turbine category 13
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 0.988643 0.997860 0.993230 21024
20 0.784790 0.920304 0.847162 527
avg / total 0.970419 0.982559 0.976339 21845
------------------------------------------------------------------------
Classification report for turbine 11, turbine category 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 0.964248 0.993788 0.978795 16582
20 0.910950 0.860920 0.885229 3933
avg / total 0.940641 0.954727 0.947373 20807
Classification report for turbine 11, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.966317 0.980420 0.973318 16650
20.0 0.965508 0.855184 0.907003 4157
avg / total 0.966156 0.955400 0.960069 20807
Classification report for turbine 11, turbine category 2
precision recall f1-score support
19 0.967174 0.992733 0.979787 16650
20 0.967447 0.865047 0.913386 4157
avg / total 0.967228 0.967223 0.966520 20807
Classification report for turbine 11, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.972807 0.971171 0.971988 16650
20.0 0.964027 0.863844 0.911190 4157
avg / total 0.971053 0.949728 0.959842 20807
Classification report for turbine 11, turbine category 4
precision recall f1-score support
19 0.967174 0.992733 0.979787 16650
20 0.967447 0.865047 0.913386 4157
avg / total 0.967228 0.967223 0.966520 20807
Classification report for turbine 11, turbine category 5
precision recall f1-score support
19 0.967174 0.992733 0.979787 16650
20 0.967447 0.865047 0.913386 4157
avg / total 0.967228 0.967223 0.966520 20807
Classification report for turbine 11, turbine category 6
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 0.905626 0.991984 0.946840 15594
20 0.737749 0.846201 0.788262 3238
avg / total 0.793539 0.875138 0.832288 20807
Classification report for turbine 11, turbine category 7
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 0.948342 0.971285 0.959676 16368
20 0.953769 0.829435 0.887267 4104
avg / total 0.934143 0.927669 0.929943 20807
Classification report for turbine 11, turbine category 8
precision recall f1-score support
10 0.073171 0.352941 0.121212 136
11 0.000000 0.000000 0.000000 180
12 0.056604 0.033333 0.041958 180
13 0.000000 0.000000 0.000000 180
14 0.014286 0.006173 0.008621 162
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 0.906789 0.934025 0.920206 15415
20 0.939233 0.800402 0.864278 3978
avg / total 0.852448 0.847647 0.848200 20807
Classification report for turbine 11, turbine category 9
precision recall f1-score support
10 0.648148 0.421995 0.511175 2737
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 252
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 0.068966 0.007937 0.014235 252
17 0.095238 0.023810 0.038095 252
18 0.055556 0.007937 0.013889 252
19 0.849462 0.978270 0.909327 14680
20 0.338188 0.456332 0.388476 1374
avg / total 0.709575 0.776325 0.735255 20807
Classification report for turbine 11, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.970479 0.987207 0.978772 16650
20.0 0.965630 0.851576 0.905024 4157
avg / total 0.969510 0.960110 0.964038 20807
Classification report for turbine 11, turbine category 11
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 0.000000 0.000000 0.000000 273
15 0.068966 0.007937 0.014235 252
16 0.000000 0.000000 0.000000 252
17 0.045455 0.003968 0.007299 252
18 0.025641 0.004425 0.007547 226
19 0.857652 0.986610 0.917622 14638
20 0.937385 0.894276 0.915324 4001
avg / total 0.785285 0.866247 0.821911 20807
Classification report for turbine 11, turbine category 12
precision recall f1-score support
19 0.967174 0.992733 0.979787 16650
20 0.967447 0.865047 0.913386 4157
avg / total 0.967228 0.967223 0.966520 20807
Classification report for turbine 11, turbine category 13
precision recall f1-score support
19 0.967174 0.992733 0.979787 16650
20 0.967447 0.865047 0.913386 4157
avg / total 0.967228 0.967223 0.966520 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.961734 0.988348 0.974860 18538
20 0.858135 0.758056 0.804997 1955
avg / total 0.937487 0.951795 0.944188 20807
Classification report for turbine 11, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.975171 0.984565 0.979846 18789
20.0 0.846111 0.760159 0.800835 2018
avg / total 0.962654 0.962801 0.962484 20807
Classification report for turbine 11, turbine category 2
precision recall f1-score support
19 0.975207 0.990207 0.982650 18789
20 0.893580 0.765610 0.824660 2018
avg / total 0.967290 0.968424 0.967327 20807
Classification report for turbine 11, turbine category 3
precision recall f1-score support
10 0.333333 0.003968 0.007843 252
11 0.000000 0.000000 0.000000 292
12 0.333333 0.003968 0.007843 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 0.000000 0.000000 0.000000 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.886863 0.981987 0.932004 17043
20 0.725693 0.745120 0.735278 1793
avg / total 0.797039 0.868650 0.826955 20807
Classification report for turbine 11, turbine category 4
precision recall f1-score support
19 0.975207 0.990207 0.982650 18789
20 0.893580 0.765610 0.824660 2018
avg / total 0.967290 0.968424 0.967327 20807
Classification report for turbine 11, turbine category 5
precision recall f1-score support
19 0.975207 0.990207 0.982650 18789
20 0.893580 0.765610 0.824660 2018
avg / total 0.967290 0.968424 0.967327 20807
Classification report for turbine 11, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.976127 0.979296 0.977709 18789
20.0 0.830758 0.559465 0.668641 2018
avg / total 0.962028 0.938578 0.947734 20807
Classification report for turbine 11, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.974671 0.981000 0.977825 18789
20.0 0.831346 0.725471 0.774808 2018
avg / total 0.960770 0.956217 0.958135 20807
Classification report for turbine 11, turbine category 8
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 0.969220 0.964977 0.967094 18502
20 0.846504 0.739692 0.789502 2013
avg / total 0.943746 0.929639 0.936340 20807
Classification report for turbine 11, turbine category 9
precision recall f1-score support
10 0.785256 0.270569 0.402464 1811
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 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 0.932888 0.980693 0.956193 17817
20 0.391681 0.790210 0.523754 572
avg / total 0.877946 0.885039 0.868215 20807
Classification report for turbine 11, turbine category 10
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 0.968771 0.985593 0.977110 18602
20 0.786156 0.731031 0.757592 1911
avg / total 0.938311 0.948287 0.943142 20807
Classification report for turbine 11, turbine category 11
precision recall f1-score support
10 0.100000 0.083333 0.090909 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 0.949290 0.976357 0.962633 18272
20 0.839617 0.766307 0.801289 1947
avg / total 0.912258 0.929158 0.920384 20807
Classification report for turbine 11, turbine category 12
precision recall f1-score support
19 0.975207 0.990207 0.982650 18789
20 0.893580 0.765610 0.824660 2018
avg / total 0.967290 0.968424 0.967327 20807
Classification report for turbine 11, turbine category 13
precision recall f1-score support
19 0.975207 0.990207 0.982650 18789
20 0.893580 0.765610 0.824660 2018
avg / total 0.967290 0.968424 0.967327 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.963903 0.985256 0.974462 13497
20.0 0.972037 0.917784 0.944132 7310
avg / total 0.966760 0.961551 0.963806 20807
Classification report for turbine 11, turbine category 1
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 0.943732 0.985774 0.964295 13356
20 0.956733 0.908088 0.931776 7159
avg / total 0.934961 0.945211 0.939573 20807
Classification report for turbine 11, turbine category 2
precision recall f1-score support
19 0.954399 0.986219 0.970048 13497
20 0.972886 0.912996 0.941990 7310
avg / total 0.960894 0.960494 0.960191 20807
Classification report for turbine 11, turbine category 3
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 0.934452 0.981910 0.957594 13212
20 0.971683 0.911793 0.940786 7301
avg / total 0.934312 0.943432 0.938165 20807
Classification report for turbine 11, turbine category 4
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 0.940919 0.986024 0.962944 13309
20 0.923178 0.913194 0.918159 6935
avg / total 0.909546 0.935070 0.921961 20807
Classification report for turbine 11, turbine category 5
precision recall f1-score support
19 0.954399 0.986219 0.970048 13497
20 0.972886 0.912996 0.941990 7310
avg / total 0.960894 0.960494 0.960191 20807
Classification report for turbine 11, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.955971 0.984515 0.970033 13497
20.0 0.973193 0.883995 0.926452 7310
avg / total 0.962022 0.949200 0.954722 20807
Classification report for turbine 11, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.954007 0.985108 0.969308 13497
20.0 0.972173 0.903283 0.936463 7310
avg / total 0.960389 0.956361 0.957769 20807
Classification report for turbine 11, turbine category 8
precision recall f1-score support
10 0.303030 0.132979 0.184843 376
11 0.000000 0.000000 0.000000 183
12 0.055556 0.012987 0.021053 154
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 0.200000 0.005917 0.011494 169
19 0.860419 0.974437 0.913886 12127
20 0.945877 0.896298 0.920421 7078
avg / total 0.830755 0.875378 0.849335 20807
Classification report for turbine 11, turbine category 9
precision recall f1-score support
10 0.006953 0.562500 0.013736 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 0.911859 0.944374 0.927832 12620
20 0.910510 0.120806 0.213311 7243
avg / total 0.870046 0.617004 0.637062 20807
Classification report for turbine 11, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.955584 0.981922 0.968574 13497
20.0 0.973246 0.910670 0.940919 7310
avg / total 0.961789 0.956890 0.958858 20807
Classification report for turbine 11, turbine category 11
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 0.166667 0.013889 0.025641 72
14 0.052632 0.013889 0.021978 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 0.915600 0.974091 0.943941 12930
20 0.970110 0.917398 0.943018 7288
avg / total 0.909534 0.926755 0.917062 20807
Classification report for turbine 11, turbine category 12
precision recall f1-score support
19 0.954399 0.986219 0.970048 13497
20 0.972886 0.912996 0.941990 7310
avg / total 0.960894 0.960494 0.960191 20807
Classification report for turbine 11, turbine category 13
precision recall f1-score support
19 0.954399 0.986219 0.970048 13497
20 0.972886 0.912996 0.941990 7310
avg / total 0.960894 0.960494 0.960191 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.962097 0.991610 0.976630 18712
20 0.877822 0.736490 0.800969 1795
avg / total 0.940955 0.955304 0.947395 20807
Classification report for turbine 11, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.975219 0.990157 0.982631 18998
20.0 0.880053 0.734107 0.800482 1809
avg / total 0.966945 0.967895 0.966795 20807
Classification report for turbine 11, turbine category 2
precision recall f1-score support
19 0.975180 0.990631 0.982845 18998
20 0.881963 0.735213 0.801929 1809
avg / total 0.967076 0.968424 0.967116 20807
Classification report for turbine 11, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.975920 0.985577 0.980725 18998
20.0 0.868598 0.712548 0.782873 1809
avg / total 0.966589 0.961840 0.963523 20807
Classification report for turbine 11, turbine category 4
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 0.958424 0.991207 0.974540 18652
20 0.854695 0.707317 0.774053 1763
avg / total 0.931578 0.948479 0.939192 20807
Classification report for turbine 11, turbine category 5
precision recall f1-score support
19 0.975180 0.990631 0.982845 18998
20 0.881963 0.735213 0.801929 1809
avg / total 0.967076 0.968424 0.967116 20807
Classification report for turbine 11, turbine category 6
precision recall f1-score support
10 0.010753 0.010989 0.010870 91
11 0.000000 0.000000 0.000000 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 0.500000 0.006944 0.013699 144
18 0.000000 0.000000 0.000000 144
19 0.904789 0.990918 0.945897 17617
20 0.799293 0.672814 0.730620 1681
avg / total 0.834155 0.893449 0.860047 20807
Classification report for turbine 11, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.975462 0.989736 0.982547 18998
20.0 0.879868 0.736871 0.802046 1809
avg / total 0.967151 0.967751 0.966854 20807
Classification report for turbine 11, turbine category 8
precision recall f1-score support
10 0.211538 0.222222 0.216749 198
11 0.071429 0.003472 0.006623 288
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.038462 0.003472 0.006369 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 0.861590 0.978383 0.916280 16746
20 0.799298 0.719066 0.757062 1584
avg / total 0.757813 0.844379 0.797321 20807
Classification report for turbine 11, turbine category 9
precision recall f1-score support
10 0.393617 0.194532 0.260380 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 0.050000 0.004329 0.007968 231
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 0.871558 0.983546 0.924172 16896
20 0.551249 0.712695 0.621661 898
avg / total 0.750072 0.838372 0.789279 20807
Classification report for turbine 11, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.975926 0.987946 0.981899 18998
20.0 0.872000 0.723051 0.790571 1809
avg / total 0.966890 0.964916 0.965265 20807
Classification report for turbine 11, turbine category 11
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 0.000000 0.000000 0.000000 72
14 0.032258 0.013889 0.019417 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 0.951279 0.984011 0.967369 18513
20 0.812253 0.723167 0.765126 1705
avg / total 0.913195 0.934878 0.923549 20807
Classification report for turbine 11, turbine category 12
precision recall f1-score support
19 0.975180 0.990631 0.982845 18998
20 0.881963 0.735213 0.801929 1809
avg / total 0.967076 0.968424 0.967116 20807
Classification report for turbine 11, turbine category 13
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 0.960153 0.990485 0.975084 18708
20 0.871353 0.733259 0.796364 1792
avg / total 0.938339 0.953717 0.945304 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989349 0.995901 0.992614 19027
20.0 0.954851 0.879213 0.915472 1780
avg / total 0.986398 0.985918 0.986015 20807
Classification report for turbine 11, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988836 0.996216 0.992512 19027
20.0 0.960074 0.878090 0.917254 1780
avg / total 0.986376 0.986110 0.986074 20807
Classification report for turbine 11, turbine category 2
precision recall f1-score support
19 0.989047 0.996584 0.992801 19027
20 0.960245 0.882022 0.919473 1780
avg / total 0.986583 0.986783 0.986528 20807
Classification report for turbine 11, turbine category 3
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 0.980184 0.994008 0.987048 18860
20 0.866913 0.864251 0.865580 1628
avg / total 0.956294 0.968616 0.962411 20807
Classification report for turbine 11, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989035 0.995480 0.992247 19027
20.0 0.959309 0.874157 0.914756 1780
avg / total 0.986492 0.985101 0.985618 20807
Classification report for turbine 11, turbine category 5
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 0.893021 0.997902 0.942553 17157
20 0.405505 0.824627 0.543665 804
avg / total 0.752035 0.854712 0.798216 20807
Classification report for turbine 11, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.920610 0.995257 0.956479 17710
20 0.885609 0.879658 0.882623 1637
avg / total 0.853258 0.916326 0.883554 20807
Classification report for turbine 11, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989189 0.995480 0.992325 19027
20.0 0.958435 0.880899 0.918033 1780
avg / total 0.986559 0.985678 0.985969 20807
Classification report for turbine 11, turbine category 8
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
10 0.255000 0.142857 0.183124 357
11 0.071429 0.005348 0.009950 187
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.125000 0.005556 0.010638 180
15 0.000000 0.000000 0.000000 167
16 0.000000 0.000000 0.000000 144
17 0.052632 0.006944 0.012270 144
18 0.000000 0.000000 0.000000 144
19 0.914295 0.990724 0.950976 17573
20 0.842324 0.785300 0.812813 1551
avg / total 0.841439 0.897871 0.867165 20807
Classification report for turbine 11, turbine category 9
precision recall f1-score support
10 0.154242 0.389610 0.220994 154
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 0.050000 0.003086 0.005814 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 0.857067 0.985076 0.916624 16484
20 0.886018 0.739379 0.806084 1577
avg / total 0.748071 0.839381 0.789001 20807
Classification report for turbine 11, turbine category 10
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 0.974991 0.995894 0.985331 18751
20 0.946602 0.888889 0.916838 1755
avg / total 0.958492 0.972461 0.965300 20807
Classification report for turbine 11, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.947401 0.993687 0.969992 18217
20 0.913939 0.883421 0.898421 1707
avg / total 0.904451 0.942471 0.922957 20807
Classification report for turbine 11, turbine category 12
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 0.966201 0.996611 0.981170 18587
20 0.930275 0.881228 0.905088 1726
avg / total 0.940281 0.963378 0.951564 20807
Classification report for turbine 11, turbine category 13
precision recall f1-score support
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989045 0.996479 0.992748 19027
20.0 0.960245 0.882022 0.919473 1780
avg / total 0.986582 0.986687 0.986480 20807
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 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 0.951126 0.990229 0.970284 18729
20 0.790036 0.651504 0.714113 2726
avg / total 0.918162 0.934474 0.925144 21747
Classification report for turbine 12, turbine category 1
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
Classification report for turbine 12, turbine category 2
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
Classification report for turbine 12, turbine category 3
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
Classification report for turbine 12, turbine category 4
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
Classification report for turbine 12, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.951000 0.987559 0.968935 18729
20.0 0.917827 0.677270 0.779409 3018
avg / total 0.946396 0.944498 0.942633 21747
Classification report for turbine 12, turbine category 6
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
Classification report for turbine 12, turbine category 7
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
Classification report for turbine 12, turbine category 8
precision recall f1-score support
10 0.017094 0.040000 0.023952 50
11 0.090909 0.018519 0.030769 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 0.906583 0.984107 0.943756 17869
20 0.890900 0.630904 0.738692 2964
avg / total 0.867096 0.894836 0.876428 21747
Classification report for turbine 12, turbine category 9
precision recall f1-score support
10 0.958333 0.252549 0.399752 1275
11 0.000000 0.000000 0.000000 216
12 0.028777 0.018519 0.022535 216
13 0.000000 0.000000 0.000000 216
14 0.037037 0.005348 0.009346 187
15 0.000000 0.000000 0.000000 180
16 0.057692 0.016667 0.025862 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.873759 0.964901 0.917071 17237
20 0.646570 0.740476 0.690344 1680
avg / total 0.799771 0.837173 0.804170 21747
Classification report for turbine 12, turbine category 10
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
Classification report for turbine 12, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 55
11 0.142857 0.003086 0.006042 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 297
18 0.000000 0.000000 0.000000 288
19 0.842873 0.986613 0.909096 16583
20 0.777482 0.679845 0.725393 2580
avg / total 0.737092 0.833034 0.779372 21747
Classification report for turbine 12, turbine category 12
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 13
precision recall f1-score support
19 0.951126 0.990229 0.970284 18729
20 0.918594 0.684228 0.784276 3018
avg / total 0.946611 0.947763 0.944470 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 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 0.939625 0.979257 0.959032 15861
20 0.925875 0.851037 0.886880 5592
avg / total 0.923387 0.933048 0.927514 21747
Classification report for turbine 12, turbine category 1
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 0.939580 0.978932 0.958852 15806
20 0.935404 0.874911 0.904147 5644
avg / total 0.925664 0.938566 0.931560 21747
Classification report for turbine 12, turbine category 2
precision recall f1-score support
19 0.957068 0.979309 0.968061 16094
20 0.936920 0.874934 0.904866 5653
avg / total 0.951831 0.952177 0.951634 21747
Classification report for turbine 12, turbine category 3
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 0.922881 0.978622 0.949934 15530
20 0.881606 0.871699 0.876625 5339
avg / total 0.875488 0.912862 0.893584 21747
Classification report for turbine 12, turbine category 4
precision recall f1-score support
19 0.957068 0.979309 0.968061 16094
20 0.936920 0.874934 0.904866 5653
avg / total 0.951831 0.952177 0.951634 21747
Classification report for turbine 12, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.957010 0.979309 0.968031 16094
20.0 0.936896 0.874580 0.904666 5653
avg / total 0.951782 0.952085 0.951560 21747
Classification report for turbine 12, turbine category 6
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 0.861610 0.977204 0.915774 14520
20 0.873840 0.873509 0.873674 5281
avg / total 0.787480 0.864579 0.823604 21747
Classification report for turbine 12, turbine category 7
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 0.948810 0.979133 0.963733 15958
20 0.905475 0.871786 0.888311 5483
avg / total 0.924533 0.938290 0.931156 21747
Classification report for turbine 12, turbine category 8
precision recall f1-score support
10 0.458333 0.004213 0.008349 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 0.043478 0.005540 0.009828 361
15 0.000000 0.000000 0.000000 296
16 0.000000 0.000000 0.000000 249
17 0.024038 0.023148 0.023585 216
18 0.000000 0.000000 0.000000 216
19 0.805656 0.967027 0.878996 13405
20 0.458994 0.862428 0.599127 2784
avg / total 0.611360 0.707316 0.619918 21747
Classification report for turbine 12, turbine category 9
precision recall f1-score support
10 0.450481 0.783477 0.572048 1852
11 0.018519 0.005348 0.008299 374
12 0.000000 0.000000 0.000000 351
13 0.000000 0.000000 0.000000 324
14 0.015152 0.003086 0.005128 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 0.863201 0.953903 0.906288 14361
20 0.597374 0.466029 0.523590 2929
avg / total 0.689395 0.759553 0.717938 21747
Classification report for turbine 12, turbine category 10
precision recall f1-score support
19 0.957068 0.979309 0.968061 16094
20 0.936920 0.874934 0.904866 5653
avg / total 0.951831 0.952177 0.951634 21747
Classification report for turbine 12, turbine category 11
precision recall f1-score support
10 0.160000 0.166667 0.163265 24
11 0.027027 0.013889 0.018349 144
12 0.022727 0.006944 0.010638 144
13 0.062500 0.013889 0.022727 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 0.915534 0.958932 0.936731 15316
20 0.859487 0.867174 0.863313 5255
avg / total 0.853402 0.885318 0.868858 21747
Classification report for turbine 12, turbine category 12
precision recall f1-score support
19 0.957068 0.979309 0.968061 16094
20 0.936920 0.874934 0.904866 5653
avg / total 0.951831 0.952177 0.951634 21747
Classification report for turbine 12, turbine category 13
precision recall f1-score support
19 0.957068 0.979309 0.968061 16094
20 0.936920 0.874934 0.904866 5653
avg / total 0.951831 0.952177 0.951634 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.938550 0.989062 0.963145 16091
20.0 0.965257 0.815417 0.884033 5656
avg / total 0.945496 0.943900 0.942569 21747
Classification report for turbine 12, turbine category 1
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.938178 0.989311 0.963066 16091
20.0 0.966436 0.814533 0.884007 5656
avg / total 0.945527 0.943854 0.942504 21747
Classification report for turbine 12, turbine category 2
precision recall f1-score support
19 0.938166 0.990057 0.963413 16091
20 0.966429 0.814356 0.883899 5656
avg / total 0.945517 0.944360 0.942733 21747
Classification report for turbine 12, turbine category 3
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 0.916740 0.985213 0.949744 15825
20 0.962036 0.792607 0.869142 5627
avg / total 0.916025 0.922012 0.916005 21747
Classification report for turbine 12, turbine category 4
precision recall f1-score support
19 0.938166 0.990057 0.963413 16091
20 0.966429 0.814356 0.883899 5656
avg / total 0.945517 0.944360 0.942733 21747
Classification report for turbine 12, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.938221 0.990057 0.963442 16091
20.0 0.966394 0.813472 0.883364 5656
avg / total 0.945549 0.944130 0.942615 21747
Classification report for turbine 12, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.938027 0.989559 0.963104 16091
20.0 0.966170 0.802864 0.876980 5656
avg / total 0.945346 0.941003 0.940705 21747
Classification report for turbine 12, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.938004 0.990119 0.963357 16091
20.0 0.966363 0.807638 0.879900 5656
avg / total 0.945380 0.942659 0.941651 21747
Classification report for turbine 12, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 170
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 0.929060 0.958662 0.943629 15724
20 0.868949 0.534016 0.661502 5277
avg / total 0.882604 0.822734 0.842800 21747
Classification report for turbine 12, turbine category 9
precision recall f1-score support
10 0.002339 0.072165 0.004531 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 0.912151 0.975062 0.942558 15398
20 0.918797 0.328436 0.483897 5581
avg / total 0.881654 0.775003 0.791584 21747
Classification report for turbine 12, turbine category 10
precision recall f1-score support
19 0.938166 0.990057 0.963413 16091
20 0.966429 0.814356 0.883899 5656
avg / total 0.945517 0.944360 0.942733 21747
Classification report for turbine 12, turbine category 11
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.033520 0.041667 0.037152 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 0.026316 0.006944 0.010989 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 0.876833 0.962877 0.917843 15031
20 0.949892 0.797005 0.866758 5542
avg / total 0.848512 0.868947 0.855594 21747
Classification report for turbine 12, turbine category 12
precision recall f1-score support
19 0.938166 0.990057 0.963413 16091
20 0.966429 0.814356 0.883899 5656
avg / total 0.945517 0.944360 0.942733 21747
Classification report for turbine 12, turbine category 13
precision recall f1-score support
19 0.938166 0.990057 0.963413 16091
20 0.966429 0.814356 0.883899 5656
avg / total 0.945517 0.944360 0.942733 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984592 0.992037 0.988300 19968
20.0 0.903525 0.821248 0.860424 1779
avg / total 0.977960 0.978066 0.977840 21747
Classification report for turbine 12, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.984495 0.992137 0.988302 19968
20.0 0.905556 0.824621 0.863195 1779
avg / total 0.978038 0.978434 0.978067 21747
Classification report for turbine 12, turbine category 2
precision recall f1-score support
19 0.984498 0.992338 0.988403 19968
20 0.905556 0.824621 0.863195 1779
avg / total 0.978041 0.978618 0.978160 21747
Classification report for turbine 12, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.984172 0.990234 0.987194 19968
20.0 0.908010 0.815627 0.859343 1779
avg / total 0.977942 0.975951 0.976735 21747
Classification report for turbine 12, turbine category 4
precision recall f1-score support
19 0.984498 0.992338 0.988403 19968
20 0.905556 0.824621 0.863195 1779
avg / total 0.978041 0.978618 0.978160 21747
Classification report for turbine 12, turbine category 5
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 0.970240 0.992277 0.981135 19681
20 0.902847 0.823363 0.861275 1772
avg / total 0.951632 0.965099 0.958104 21747
Classification report for turbine 12, turbine category 6
precision recall f1-score support
10 0.055556 0.014925 0.023529 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 0.959555 0.991834 0.975427 19471
20 0.823492 0.802817 0.813023 1633
avg / total 0.921137 0.948361 0.934464 21747
Classification report for turbine 12, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.984257 0.992538 0.988380 19968
20.0 0.910056 0.818999 0.862130 1779
avg / total 0.978187 0.978342 0.978052 21747
Classification report for turbine 12, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.972187 0.985298 0.978699 19725
20 0.814397 0.715437 0.761716 1613
avg / total 0.942200 0.946751 0.944198 21747
Classification report for turbine 12, turbine category 9
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
10 0.482609 0.496644 0.489526 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 0.000000 0.000000 0.000000 108
19 0.937647 0.983233 0.959899 19026
20 0.760908 0.641176 0.695930 1360
avg / total 0.877833 0.910516 0.893380 21747
Classification report for turbine 12, turbine category 10
precision recall f1-score support
19 0.984498 0.992338 0.988403 19968
20 0.905556 0.824621 0.863195 1779
avg / total 0.978041 0.978618 0.978160 21747
Classification report for turbine 12, turbine category 11
precision recall f1-score support
10 0.222222 0.100000 0.137931 20
11 0.018868 0.009259 0.012422 108
12 0.031250 0.009259 0.014286 108
13 0.000000 0.000000 0.000000 108
14 0.050000 0.018519 0.027027 108
15 0.083333 0.009259 0.016667 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 0.949245 0.985576 0.967069 19204
20 0.850379 0.811935 0.830712 1659
avg / total 0.904232 0.932588 0.917833 21747
Classification report for turbine 12, turbine category 12
precision recall f1-score support
19 0.984498 0.992338 0.988403 19968
20 0.905556 0.824621 0.863195 1779
avg / total 0.978041 0.978618 0.978160 21747
Classification report for turbine 12, turbine category 13
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 0.971829 0.992239 0.981928 19713
20 0.880247 0.823801 0.851089 1731
avg / total 0.950999 0.965007 0.957832 21747
------------------------------------------------------------------------
Classification report for turbine 12, turbine category 0
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991334 0.994733 0.993031 20125
20.0 0.932258 0.890875 0.911097 1622
avg / total 0.986928 0.986987 0.986920 21747
Classification report for turbine 12, turbine category 1
precision recall f1-score support
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.991431 0.994584 0.993005 20125
20.0 0.931833 0.893342 0.912181 1622
avg / total 0.986986 0.987033 0.986977 21747
Classification report for turbine 12, turbine category 2
precision recall f1-score support
19 0.991384 0.994832 0.993105 20125
20 0.932990 0.892725 0.912413 1622
avg / total 0.987029 0.987217 0.987087 21747
Classification report for turbine 12, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.991332 0.994534 0.992931 20125
20.0 0.931413 0.837238 0.881818 1622
avg / total 0.986863 0.982802 0.984643 21747
Classification report for turbine 12, turbine category 4
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 0.962813 0.996005 0.979127 19522
20 0.728737 0.878106 0.796479 1288
avg / total 0.907465 0.946108 0.926123 21747
Classification report for turbine 12, turbine category 5
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 0.977267 0.994607 0.985861 19839
20 0.923325 0.892835 0.907824 1605
avg / total 0.959670 0.973238 0.966365 21747
Classification report for turbine 12, turbine category 6
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 0.947836 0.993451 0.970108 19241
20 0.873026 0.867320 0.870164 1530
avg / total 0.900034 0.939992 0.919538 21747
Classification report for turbine 12, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
19.0 0.991335 0.994832 0.993081 20125
20.0 0.932686 0.888409 0.910009 1622
avg / total 0.986961 0.986895 0.986885 21747
Classification report for turbine 12, turbine category 8
precision recall f1-score support
10 0.138211 0.069959 0.092896 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 0.000000 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 0.976843 0.986443 0.981619 19842
20 0.771388 0.800582 0.785714 1374
avg / total 0.941555 0.951396 0.946312 21747
Classification report for turbine 12, turbine category 9
precision recall f1-score support
10 0.118110 0.111940 0.114943 134
11 0.058824 0.006452 0.011628 155
12 0.000000 0.000000 0.000000 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 0.948341 0.988165 0.967844 19265
20 0.760197 0.804914 0.781917 1343
avg / total 0.888200 0.925829 0.906462 21747
Classification report for turbine 12, turbine category 10
precision recall f1-score support
19 0.991384 0.994832 0.993105 20125
20 0.932990 0.892725 0.912413 1622
avg / total 0.987029 0.987217 0.987087 21747
Classification report for turbine 12, turbine category 11
precision recall f1-score support
10 0.750000 0.120000 0.206897 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 0.000000 0.000000 0.000000 144
19 0.936029 0.990316 0.962408 19001
20 0.900130 0.884640 0.892318 1569
avg / total 0.883641 0.929232 0.905501 21747
Classification report for turbine 12, turbine category 12
precision recall f1-score support
19 0.991384 0.994832 0.993105 20125
20 0.932990 0.892725 0.912413 1622
avg / total 0.987029 0.987217 0.987087 21747
Classification report for turbine 12, turbine category 13
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
19.0 0.991334 0.994733 0.993031 20125
20.0 0.932946 0.892109 0.912071 1622
avg / total 0.986979 0.987079 0.986992 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.958030 0.988423 0.972989 19953
20 0.728477 0.586276 0.649686 1501
avg / total 0.926509 0.944526 0.934771 21812
Classification report for turbine 13, turbine category 1
precision recall f1-score support
10 0.010638 0.062500 0.018182 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 0.940910 0.922075 0.931397 19583
20 0.792869 0.570556 0.663588 1637
avg / total 0.904270 0.870713 0.886032 21812
Classification report for turbine 13, turbine category 2
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 21812
Classification report for turbine 13, turbine category 3
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 21812
Classification report for turbine 13, turbine category 4
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 0.960517 0.982189 0.971232 19988
20 0.694467 0.549673 0.613645 1530
avg / total 0.928908 0.938612 0.933058 21812
Classification report for turbine 13, turbine category 5
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 21812
Classification report for turbine 13, turbine category 6
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 21812
Classification report for turbine 13, turbine category 7
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 21812
Classification report for turbine 13, turbine category 8
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 0.924790 0.987386 0.955064 19265
20 0.773179 0.597187 0.673882 1564
avg / total 0.872241 0.914909 0.891860 21812
Classification report for turbine 13, turbine category 9
precision recall f1-score support
10 0.505618 0.613288 0.554273 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 0.171429 0.055556 0.083916 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 0.930974 0.960940 0.945720 19355
20 0.483483 0.321357 0.386091 1002
avg / total 0.862771 0.884238 0.872258 21812
Classification report for turbine 13, turbine category 10
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 21812
Classification report for turbine 13, turbine category 11
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 0.855666 0.989283 0.917636 17822
20 0.753107 0.623029 0.681920 1459
avg / total 0.749517 0.849991 0.795389 21812
Classification report for turbine 13, turbine category 12
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 21812
Classification report for turbine 13, turbine category 13
precision recall f1-score support
19 0.966853 0.989078 0.977839 20142
20 0.817730 0.591018 0.686131 1670
avg / total 0.955435 0.958601 0.955505 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 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 0.907195 0.986148 0.945025 15305
20 0.898305 0.840456 0.868418 5171
avg / total 0.849521 0.891207 0.868981 21812
Classification report for turbine 13, turbine category 1
precision recall f1-score support
10 0.000000 0.000000 0.000000 35
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 0.934572 0.979448 0.956484 15765
20 0.950996 0.896063 0.922713 5436
avg / total 0.912486 0.931231 0.921274 21812
Classification report for turbine 13, turbine category 2
precision recall f1-score support
19 0.968304 0.986122 0.977132 16357
20 0.955957 0.903208 0.928834 5455
avg / total 0.965216 0.965386 0.965053 21812
Classification report for turbine 13, turbine category 3
precision recall f1-score support
19 0.968304 0.986122 0.977132 16357
20 0.955957 0.903208 0.928834 5455
avg / total 0.965216 0.965386 0.965053 21812
Classification report for turbine 13, turbine category 4
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 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 0.919649 0.986289 0.951804 15608
20 0.444332 0.833207 0.579584 2644
avg / total 0.711933 0.806758 0.751338 21812
Classification report for turbine 13, turbine category 5
precision recall f1-score support
19 0.968304 0.986122 0.977132 16357
20 0.955957 0.903208 0.928834 5455
avg / total 0.965216 0.965386 0.965053 21812
Classification report for turbine 13, turbine category 6
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 0.896866 0.988226 0.940332 15118
20 0.891735 0.899237 0.895470 5111
avg / total 0.830574 0.895654 0.861576 21812
Classification report for turbine 13, turbine category 7
precision recall f1-score support
19 0.968304 0.986122 0.977132 16357
20 0.955957 0.903208 0.928834 5455
avg / total 0.965216 0.965386 0.965053 21812
Classification report for turbine 13, turbine category 8
precision recall f1-score support
10 0.040000 0.042017 0.040984 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 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.952372 0.973661 0.962899 16060
20 0.879480 0.883132 0.881302 5057
avg / total 0.905345 0.921878 0.913524 21812
Classification report for turbine 13, turbine category 9
precision recall f1-score support
10 0.296941 0.534613 0.381812 1979
11 0.082524 0.157407 0.108280 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 0.925151 0.935585 0.930339 15695
20 0.604492 0.378131 0.465239 3274
avg / total 0.783785 0.779250 0.774443 21812
Classification report for turbine 13, turbine category 10
precision recall f1-score support
19 0.968304 0.986122 0.977132 16357
20 0.955957 0.903208 0.928834 5455
avg / total 0.965216 0.965386 0.965053 21812
Classification report for turbine 13, turbine category 11
precision recall f1-score support
10 0.142857 0.166667 0.153846 12
11 0.060606 0.055556 0.057971 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 0.938755 0.944044 0.941392 15798
20 0.953511 0.910984 0.931762 5426
avg / total 0.917398 0.910646 0.913895 21812
Classification report for turbine 13, turbine category 12
precision recall f1-score support
19 0.968304 0.986122 0.977132 16357
20 0.955957 0.903208 0.928834 5455
avg / total 0.965216 0.965386 0.965053 21812
Classification report for turbine 13, turbine category 13
precision recall f1-score support
19 0.968304 0.986122 0.977132 16357
20 0.955957 0.903208 0.928834 5455
avg / total 0.965216 0.965386 0.965053 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 0
precision recall f1-score support
10 0.090909 0.011029 0.019672 272
11 0.111111 0.006944 0.013072 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 0.896988 0.979790 0.936563 13162
20 0.930018 0.919254 0.924605 7344
avg / total 0.856269 0.900926 0.876791 21812
Classification report for turbine 13, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.968373 0.974730 0.971541 14167
20.0 0.963715 0.937999 0.950683 7645
avg / total 0.966740 0.961856 0.964230 21812
Classification report for turbine 13, turbine category 2
precision recall f1-score support
19 0.966574 0.981789 0.974122 14167
20 0.965238 0.937083 0.950952 7645
avg / total 0.966106 0.966120 0.966001 21812
Classification report for turbine 13, turbine category 3
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 0.947325 0.981638 0.964176 13887
20 0.964026 0.937869 0.950767 7629
avg / total 0.940310 0.953008 0.946402 21812
Classification report for turbine 13, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.969987 0.967248 0.968615 14167
20.0 0.952351 0.596076 0.733226 7645
avg / total 0.963805 0.837154 0.886112 21812
Classification report for turbine 13, turbine category 5
precision recall f1-score support
19 0.966574 0.981789 0.974122 14167
20 0.965238 0.937083 0.950952 7645
avg / total 0.966106 0.966120 0.966001 21812
Classification report for turbine 13, turbine category 6
precision recall f1-score support
10 0.023810 0.105263 0.038835 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 0.906665 0.980607 0.942188 13304
20 0.958415 0.905233 0.931065 7587
avg / total 0.886444 0.913259 0.898637 21812
Classification report for turbine 13, turbine category 7
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 0.965671 0.981772 0.973655 14154
20 0.927648 0.934700 0.931160 7366
avg / total 0.939903 0.952732 0.946270 21812
Classification report for turbine 13, turbine category 8
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 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.929076 0.977935 0.952879 13596
20 0.961130 0.878935 0.918197 7624
avg / total 0.915064 0.916789 0.914894 21812
Classification report for turbine 13, turbine category 9
precision recall f1-score support
10 0.062639 0.334917 0.105539 421
11 0.041916 0.097222 0.058577 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 0.927019 0.973033 0.949469 13498
20 0.949930 0.645620 0.768755 7317
avg / total 0.893679 0.825509 0.847678 21812
Classification report for turbine 13, turbine category 10
precision recall f1-score support
19 0.966574 0.981789 0.974122 14167
20 0.965238 0.937083 0.950952 7645
avg / total 0.966106 0.966120 0.966001 21812
Classification report for turbine 13, turbine category 11
precision recall f1-score support
10 0.011364 0.045455 0.018182 22
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 0.903217 0.972342 0.936506 13197
20 0.942406 0.938987 0.940693 7441
avg / total 0.867983 0.908674 0.887546 21812
Classification report for turbine 13, turbine category 12
precision recall f1-score support
19 0.966574 0.981789 0.974122 14167
20 0.965238 0.937083 0.950952 7645
avg / total 0.966106 0.966120 0.966001 21812
Classification report for turbine 13, turbine category 13
precision recall f1-score support
19 0.966574 0.981789 0.974122 14167
20 0.965238 0.937083 0.950952 7645
avg / total 0.966106 0.966120 0.966001 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.966521 0.983261 0.974819 18938
20.0 0.918487 0.760612 0.832128 2874
avg / total 0.960192 0.953924 0.956018 21812
Classification report for turbine 13, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.966479 0.988066 0.977153 18938
20.0 0.914345 0.765136 0.833112 2874
avg / total 0.959610 0.958692 0.958174 21812
Classification report for turbine 13, turbine category 2
precision recall f1-score support
19 0.966102 0.990231 0.978018 18938
20 0.922949 0.771051 0.840190 2874
avg / total 0.960416 0.961352 0.959857 21812
Classification report for turbine 13, turbine category 3
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 0.922549 0.989711 0.954951 18077
20 0.881328 0.772364 0.823256 2750
avg / total 0.875691 0.917614 0.895223 21812
Classification report for turbine 13, turbine category 4
precision recall f1-score support
10 0.708520 0.120611 0.206132 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 0.868417 0.990062 0.925258 17005
20 0.500230 0.666258 0.571429 1630
avg / total 0.756967 0.828902 0.776429 21812
Classification report for turbine 13, turbine category 5
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 0.953428 0.990103 0.971420 18692
20 0.904207 0.767680 0.830369 2828
avg / total 0.934283 0.948010 0.940127 21812
Classification report for turbine 13, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.893093 0.986467 0.937461 17513
20 0.877657 0.744297 0.805495 2718
avg / total 0.826436 0.884788 0.853067 21812
Classification report for turbine 13, turbine category 7
precision recall f1-score support
17.0 0.000000 0.000000 0.000000 0
19.0 0.966102 0.990231 0.978018 18938
20.0 0.922917 0.770703 0.839970 2874
avg / total 0.960412 0.961306 0.959828 21812
Classification report for turbine 13, turbine category 8
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
10 0.076923 0.001453 0.002853 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 0.815278 0.986122 0.892598 15996
20 0.622889 0.713940 0.665313 2066
avg / total 0.659316 0.790849 0.717702 21812
Classification report for turbine 13, turbine category 9
precision recall f1-score support
10 0.083607 0.162939 0.110509 313
11 0.000000 0.000000 0.000000 224
12 0.000000 0.000000 0.000000 222
13 0.125000 0.004219 0.008163 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 0.889484 0.982939 0.933879 17408
20 0.840465 0.635130 0.723511 2505
avg / total 0.808972 0.859802 0.830088 21812
Classification report for turbine 13, turbine category 10
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 0.953119 0.990365 0.971385 18681
20 0.918367 0.776682 0.841603 2839
avg / total 0.935837 0.949294 0.941489 21812
Classification report for turbine 13, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.938413 0.983764 0.960553 18354
20 0.806373 0.766602 0.785984 2575
avg / total 0.884836 0.918302 0.901059 21812
Classification report for turbine 13, turbine category 12
precision recall f1-score support
19 0.966102 0.990231 0.978018 18938
20 0.922949 0.771051 0.840190 2874
avg / total 0.960416 0.961352 0.959857 21812
Classification report for turbine 13, turbine category 13
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 0.952604 0.990200 0.971038 18674
20 0.909621 0.769827 0.833906 2837
avg / total 0.933868 0.947873 0.939802 21812
------------------------------------------------------------------------
Classification report for turbine 13, turbine category 0
precision recall f1-score support
10 0.826087 0.542857 0.655172 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 0.957515 0.989378 0.973186 19112
20 0.890467 0.840996 0.865025 2088
avg / total 0.925556 0.948285 0.936578 21812
Classification report for turbine 13, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.983892 0.992310 0.988083 19636
20.0 0.929323 0.852022 0.888995 2176
avg / total 0.978448 0.978315 0.978198 21812
Classification report for turbine 13, turbine category 2
precision recall f1-score support
19 0.983754 0.992972 0.988341 19636
20 0.930723 0.852022 0.889635 2176
avg / total 0.978463 0.978911 0.978494 21812
Classification report for turbine 13, turbine category 3
precision recall f1-score support
10 0.000000 0.000000 0.000000 198
11 0.000000 0.000000 0.000000 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 0.963394 0.991054 0.977028 19226
20 0.763145 0.832332 0.796238 1831
avg / total 0.913237 0.943426 0.928033 21812
Classification report for turbine 13, turbine category 4
precision recall f1-score support
10 0.091549 0.173333 0.119816 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 0.948454 0.986322 0.967017 18935
20 0.663751 0.735758 0.697902 1650
avg / total 0.873878 0.912479 0.892673 21812
Classification report for turbine 13, turbine category 5
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.983748 0.992616 0.988162 19636
20.0 0.930723 0.852022 0.889635 2176
avg / total 0.978458 0.978590 0.978333 21812
Classification report for turbine 13, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 160
11 0.000000 0.000000 0.000000 180
12 0.000000 0.000000 0.000000 180
13 0.333333 0.005556 0.010929 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 0.916911 0.991036 0.952534 18295
20 0.864407 0.877934 0.871118 1917
avg / total 0.847788 0.908445 0.875596 21812
Classification report for turbine 13, turbine category 7
precision recall f1-score support
19 0.983754 0.992972 0.988341 19636
20 0.930723 0.852022 0.889635 2176
avg / total 0.978463 0.978911 0.978494 21812
Classification report for turbine 13, turbine category 8
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 0.000000 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 0.946410 0.985493 0.965557 18888
20 0.858238 0.767123 0.810127 2044
avg / total 0.899965 0.925270 0.912036 21812
Classification report for turbine 13, turbine category 9
precision recall f1-score support
10 0.686099 0.124088 0.210165 1233
11 0.000000 0.000000 0.000000 365
12 0.000000 0.000000 0.000000 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 0.893822 0.986321 0.937796 17838
20 0.207632 0.664273 0.316375 557
avg / total 0.775060 0.830598 0.786896 21812
Classification report for turbine 13, turbine category 10
precision recall f1-score support
19 0.983755 0.993023 0.988367 19636
20 0.931190 0.852022 0.889849 2176
avg / total 0.978511 0.978957 0.978539 21812
Classification report for turbine 13, turbine category 11
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 0.090909 0.009259 0.016807 108
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.058824 0.009259 0.016000 108
19 0.941069 0.987273 0.963617 18779
20 0.920960 0.855483 0.887015 2152
avg / total 0.901816 0.934486 0.917301 21812
Classification report for turbine 13, turbine category 12
precision recall f1-score support
19 0.983754 0.992972 0.988341 19636
20 0.930723 0.852022 0.889635 2176
avg / total 0.978463 0.978911 0.978494 21812
Classification report for turbine 13, turbine category 13
precision recall f1-score support
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.983751 0.992819 0.988265 19636
20.0 0.930723 0.852022 0.889635 2176
avg / total 0.978461 0.978773 0.978425 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986922 0.983094 0.985004 20880
20.0 0.889685 0.691537 0.778195 898
avg / total 0.982913 0.971072 0.976477 21778
Classification report for turbine 14, turbine category 1
precision recall f1-score support
19 0.987047 0.996312 0.991658 20880
20 0.890313 0.695991 0.781250 898
avg / total 0.983058 0.983929 0.982982 21778
Classification report for turbine 14, turbine category 2
precision recall f1-score support
19 0.987047 0.996312 0.991658 20880
20 0.890313 0.695991 0.781250 898
avg / total 0.983058 0.983929 0.982982 21778
Classification report for turbine 14, turbine category 3
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 0.974659 0.982692 0.978659 20626
20 0.844444 0.669800 0.747051 851
avg / total 0.956099 0.956883 0.956082 21778
Classification report for turbine 14, turbine category 4
precision recall f1-score support
19 0.987047 0.996312 0.991658 20880
20 0.890313 0.695991 0.781250 898
avg / total 0.983058 0.983929 0.982982 21778
Classification report for turbine 14, turbine category 5
precision recall f1-score support
19 0.987047 0.996312 0.991658 20880
20 0.890313 0.695991 0.781250 898
avg / total 0.983058 0.983929 0.982982 21778
Classification report for turbine 14, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988302 0.979215 0.983737 20880
20.0 0.880240 0.654788 0.750958 898
avg / total 0.983847 0.965837 0.974139 21778
Classification report for turbine 14, turbine category 7
precision recall f1-score support
19 0.987047 0.996312 0.991658 20880
20 0.890313 0.695991 0.781250 898
avg / total 0.983058 0.983929 0.982982 21778
Classification report for turbine 14, turbine category 8
precision recall f1-score support
10 0.130435 0.018293 0.032086 164
11 0.013514 0.013889 0.013699 72
12 0.000000 0.000000 0.000000 72
13 0.095238 0.027778 0.043011 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 0.953621 0.985429 0.969264 20177
20 0.845588 0.667828 0.746269 861
avg / total 0.918288 0.939664 0.927942 21778
Classification report for turbine 14, turbine category 9
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987600 0.984148 0.985871 20880
20.0 0.888579 0.710468 0.789604 898
avg / total 0.983517 0.972863 0.977778 21778
Classification report for turbine 14, turbine category 10
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 0.974900 0.996363 0.985515 20622
20 0.799145 0.695167 0.743539 807
avg / total 0.952765 0.969235 0.960755 21778
Classification report for turbine 14, turbine category 11
precision recall f1-score support
10 1.000000 0.035714 0.068966 56
11 0.333333 0.003086 0.006116 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 324
19 0.868109 0.993901 0.926756 18364
20 0.784703 0.723238 0.752717 766
avg / total 0.767152 0.863670 0.808218 21778
Classification report for turbine 14, turbine category 12
precision recall f1-score support
19 0.987047 0.996312 0.991658 20880
20 0.890313 0.695991 0.781250 898
avg / total 0.983058 0.983929 0.982982 21778
Classification report for turbine 14, turbine category 13
precision recall f1-score support
19 0.987047 0.996312 0.991658 20880
20 0.890313 0.695991 0.781250 898
avg / total 0.983058 0.983929 0.982982 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.708333 0.180851 0.288136 94
11 0.160920 0.053435 0.080229 262
12 0.187500 0.030151 0.051948 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 0.932334 0.990712 0.960637 19596
20 0.720513 0.775172 0.746844 725
avg / total 0.869614 0.918955 0.891935 21778
Classification report for turbine 14, turbine category 1
precision recall f1-score support
19 0.991990 0.995741 0.993862 20896
20 0.889166 0.809524 0.847478 882
avg / total 0.987826 0.988199 0.987934 21778
Classification report for turbine 14, turbine category 2
precision recall f1-score support
19 0.991990 0.995741 0.993862 20896
20 0.889166 0.809524 0.847478 882
avg / total 0.987826 0.988199 0.987934 21778
Classification report for turbine 14, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992230 0.990046 0.991137 20896
20.0 0.880577 0.760771 0.816302 882
avg / total 0.987708 0.980760 0.984056 21778
Classification report for turbine 14, turbine category 4
precision recall f1-score support
19 0.991990 0.995741 0.993862 20896
20 0.889166 0.809524 0.847478 882
avg / total 0.987826 0.988199 0.987934 21778
Classification report for turbine 14, turbine category 5
precision recall f1-score support
19 0.991990 0.995741 0.993862 20896
20 0.889166 0.809524 0.847478 882
avg / total 0.987826 0.988199 0.987934 21778
Classification report for turbine 14, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992242 0.991529 0.991885 20896
20.0 0.874510 0.758503 0.812386 882
avg / total 0.987474 0.982092 0.984616 21778
Classification report for turbine 14, turbine category 7
precision recall f1-score support
19 0.991990 0.995741 0.993862 20896
20 0.889166 0.809524 0.847478 882
avg / total 0.987826 0.988199 0.987934 21778
Classification report for turbine 14, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991962 0.992152 0.992057 20896
20.0 0.885678 0.799320 0.840286 882
avg / total 0.987657 0.984342 0.985910 21778
Classification report for turbine 14, turbine category 9
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.992031 0.994879 0.993453 20896
20.0 0.887097 0.810658 0.847156 882
avg / total 0.987781 0.987418 0.987528 21778
Classification report for turbine 14, turbine category 10
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 0.500000 0.018519 0.035714 108
19 0.945930 0.993877 0.969311 19926
20 0.720149 0.781377 0.749515 741
avg / total 0.892471 0.936036 0.912561 21778
Classification report for turbine 14, turbine category 11
precision recall f1-score support
10 0.111111 0.058824 0.076923 17
11 0.029412 0.009259 0.014085 108
12 0.066667 0.027778 0.039216 108
13 0.018182 0.009259 0.012270 108
14 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.028986 0.018519 0.022599 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.952253 0.976151 0.964054 20043
20 0.868521 0.804450 0.835258 854
avg / total 0.911245 0.930297 0.920501 21778
Classification report for turbine 14, turbine category 12
precision recall f1-score support
19 0.991990 0.995741 0.993862 20896
20 0.889166 0.809524 0.847478 882
avg / total 0.987826 0.988199 0.987934 21778
Classification report for turbine 14, turbine category 13
precision recall f1-score support
19 0.991990 0.995741 0.993862 20896
20 0.889166 0.809524 0.847478 882
avg / total 0.987826 0.988199 0.987934 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.062827 0.685714 0.115108 35
11 0.166667 0.027778 0.047619 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 0.914985 0.987120 0.949685 17314
20 0.937336 0.603236 0.734058 4141
avg / total 0.906041 0.900634 0.894863 21778
Classification report for turbine 14, turbine category 1
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 0.927401 0.989858 0.957612 17551
20 0.842365 0.680371 0.752751 3770
avg / total 0.893219 0.915511 0.902054 21778
Classification report for turbine 14, turbine category 2
precision recall f1-score support
19 0.930230 0.989889 0.959133 17604
20 0.941544 0.686871 0.794293 4174
avg / total 0.932398 0.931812 0.927539 21778
Classification report for turbine 14, turbine category 3
precision recall f1-score support
10 0.012987 0.071429 0.021978 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 0.500000 0.013889 0.027027 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 0.882513 0.988902 0.932684 17030
20 0.941460 0.564695 0.705953 4158
avg / total 0.871520 0.881210 0.864230 21778
Classification report for turbine 14, turbine category 4
precision recall f1-score support
19 0.930230 0.989889 0.959133 17604
20 0.941544 0.686871 0.794293 4174
avg / total 0.932398 0.931812 0.927539 21778
Classification report for turbine 14, turbine category 5
precision recall f1-score support
19 0.930230 0.989889 0.959133 17604
20 0.941544 0.686871 0.794293 4174
avg / total 0.932398 0.931812 0.927539 21778
Classification report for turbine 14, turbine category 6
precision recall f1-score support
10 0.006000 0.005520 0.005750 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 0.891331 0.988025 0.937191 16869
20 0.800487 0.538285 0.643710 3056
avg / total 0.803043 0.841124 0.816553 21778
Classification report for turbine 14, turbine category 7
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 0.926814 0.989852 0.957296 17540
20 0.842036 0.700164 0.764574 3662
avg / total 0.888045 0.914960 0.899570 21778
Classification report for turbine 14, turbine category 8
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 0.913663 0.989133 0.949901 17300
20 0.940067 0.669705 0.782182 4169
avg / total 0.905754 0.913950 0.904317 21778
Classification report for turbine 14, turbine category 9
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 0.873097 0.989049 0.927463 16528
20 0.917269 0.707342 0.798742 3950
avg / total 0.828991 0.878915 0.848753 21778
Classification report for turbine 14, turbine category 10
precision recall f1-score support
10 0.014286 0.011111 0.012500 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 0.918277 0.992226 0.953820 17236
20 0.846230 0.663397 0.743742 3874
avg / total 0.877354 0.903343 0.887245 21778
Classification report for turbine 14, turbine category 11
precision recall f1-score support
10 0.003295 0.095238 0.006369 21
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.021739 0.006944 0.010526 144
14 0.000000 0.000000 0.000000 144
15 0.269231 0.194444 0.225806 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 0.914402 0.977953 0.945111 16964
20 0.900623 0.674540 0.771357 3641
avg / total 0.864774 0.875976 0.866725 21778
Classification report for turbine 14, turbine category 12
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 0.930230 0.995146 0.961594 17511
20 0.872906 0.670535 0.758453 3964
avg / total 0.906854 0.922215 0.911240 21778
Classification report for turbine 14, turbine category 13
precision recall f1-score support
19 0.930230 0.989889 0.959133 17604
20 0.941544 0.686871 0.794293 4174
avg / total 0.932398 0.931812 0.927539 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.989892 0.995588 0.992732 20854
20.0 0.900637 0.765152 0.827384 924
avg / total 0.986105 0.985811 0.985717 21778
Classification report for turbine 14, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.989473 0.996068 0.992759 20854
20.0 0.899743 0.757576 0.822562 924
avg / total 0.985666 0.985949 0.985538 21778
Classification report for turbine 14, turbine category 2
precision recall f1-score support
19 0.989805 0.996260 0.993022 20854
20 0.901015 0.768398 0.829439 924
avg / total 0.986037 0.986592 0.986081 21778
Classification report for turbine 14, turbine category 3
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 0.947632 0.994439 0.970472 19962
20 0.711908 0.739362 0.725375 752
avg / total 0.893194 0.937047 0.914595 21778
Classification report for turbine 14, turbine category 4
precision recall f1-score support
19 0.989805 0.996260 0.993022 20854
20 0.901015 0.768398 0.829439 924
avg / total 0.986037 0.986592 0.986081 21778
Classification report for turbine 14, turbine category 5
precision recall f1-score support
19 0.989805 0.996260 0.993022 20854
20 0.901015 0.768398 0.829439 924
avg / total 0.986037 0.986592 0.986081 21778
Classification report for turbine 14, turbine category 6
precision recall f1-score support
10 0.010638 0.047619 0.017391 21
11 0.000000 0.000000 0.000000 108
12 0.000000 0.000000 0.000000 108
13 0.000000 0.000000 0.000000 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 0.956724 0.992107 0.974094 20144
20 0.874317 0.707965 0.782396 904
avg / total 0.921244 0.947103 0.933502 21778
Classification report for turbine 14, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989517 0.995780 0.992639 20854
20.0 0.904269 0.756494 0.823807 924
avg / total 0.985900 0.985628 0.985475 21778
Classification report for turbine 14, turbine category 8
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 0.964719 0.994194 0.979235 20325
20 0.860645 0.767549 0.811436 869
avg / total 0.934696 0.958490 0.946280 21778
Classification report for turbine 14, turbine category 9
precision recall f1-score support
10 0.033333 0.058824 0.042553 34
11 0.045455 0.013699 0.021053 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 0.125000 0.041667 0.062500 72
18 0.000000 0.000000 0.000000 72
19 0.965017 0.989651 0.977179 20292
20 0.860645 0.762286 0.808485 875
avg / total 0.934367 0.953026 0.943329 21778
Classification report for turbine 14, turbine category 10
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 0.975965 0.995234 0.985505 20563
20 0.890746 0.756550 0.818182 916
avg / total 0.958981 0.971531 0.964937 21778
Classification report for turbine 14, turbine category 11
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 0.963264 0.989054 0.975988 20281
20 0.892208 0.756608 0.818832 908
avg / total 0.934249 0.952613 0.943040 21778
Classification report for turbine 14, turbine category 12
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
19.0 0.989852 0.996260 0.993045 20854
20.0 0.901015 0.768398 0.829439 924
avg / total 0.986083 0.986592 0.986104 21778
Classification report for turbine 14, turbine category 13
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 0.975893 0.996352 0.986017 20559
20 0.892132 0.769989 0.826573 913
avg / total 0.958670 0.972863 0.965478 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.991792 0.997121 0.994449 20843
20.0 0.940814 0.816043 0.873998 935
avg / total 0.989603 0.989347 0.989278 21778
Classification report for turbine 14, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.991797 0.997697 0.994738 20843
20.0 0.939850 0.802139 0.865551 935
avg / total 0.989566 0.989301 0.989192 21778
Classification report for turbine 14, turbine category 2
precision recall f1-score support
19 0.991797 0.997697 0.994738 20843
20 0.940814 0.816043 0.873998 935
avg / total 0.989608 0.989898 0.989554 21778
Classification report for turbine 14, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991918 0.995154 0.993534 20843
20.0 0.934194 0.774332 0.846784 935
avg / total 0.989440 0.985674 0.987233 21778
Classification report for turbine 14, turbine category 4
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 0.984786 0.997681 0.991191 20696
20 0.760789 0.783990 0.772215 787
avg / total 0.963351 0.976444 0.969852 21778
Classification report for turbine 14, turbine category 5
precision recall f1-score support
19 0.991797 0.997697 0.994738 20843
20 0.940814 0.816043 0.873998 935
avg / total 0.989608 0.989898 0.989554 21778
Classification report for turbine 14, turbine category 6
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 0.923249 0.996805 0.958618 19405
20 0.774153 0.890332 0.828188 693
avg / total 0.847284 0.916521 0.880518 21778
Classification report for turbine 14, turbine category 7
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 0.978443 0.997908 0.988080 20559
20 0.929825 0.802162 0.861288 925
avg / total 0.963169 0.976123 0.969356 21778
Classification report for turbine 14, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.964678 0.997138 0.980640 20268
20 0.745679 0.780362 0.762626 774
avg / total 0.924293 0.955735 0.939750 21778
Classification report for turbine 14, turbine category 9
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 0.964245 0.996891 0.980296 20262
20 0.700831 0.662304 0.681023 764
avg / total 0.921708 0.950730 0.935947 21778
Classification report for turbine 14, turbine category 10
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991879 0.996162 0.994016 20843
20.0 0.939803 0.818182 0.874786 935
avg / total 0.989643 0.988521 0.988897 21778
Classification report for turbine 14, turbine category 11
precision recall f1-score support
10 1.000000 0.076923 0.142857 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 0.964394 0.990329 0.977189 20266
20 0.929889 0.819068 0.870968 923
avg / total 0.937446 0.956332 0.946344 21778
Classification report for turbine 14, turbine category 12
precision recall f1-score support
19 0.991797 0.997697 0.994738 20843
20 0.940814 0.816043 0.873998 935
avg / total 0.989608 0.989898 0.989554 21778
Classification report for turbine 14, turbine category 13
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
19.0 0.991796 0.997649 0.994714 20843
20.0 0.940814 0.816043 0.873998 935
avg / total 0.989607 0.989852 0.989531 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
19.0 0.962697 0.971353 0.967006 15569
20.0 0.903280 0.814130 0.856391 4600
avg / total 0.949145 0.935495 0.941778 20169
Classification report for turbine 15, turbine category 1
precision recall f1-score support
10 0.000000 0.000000 0.000000 242
11 0.000000 0.000000 0.000000 360
12 0.105263 0.005556 0.010554 360
13 0.000000 0.000000 0.000000 360
14 0.000000 0.000000 0.000000 360
15 0.200000 0.005556 0.010811 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 0.790309 0.968468 0.870365 12749
20 0.847826 0.880177 0.863699 4298
avg / total 0.685681 0.799941 0.734600 20169
Classification report for turbine 15, turbine category 2
precision recall f1-score support
19 0.963359 0.972702 0.968008 15569
20 0.904473 0.874783 0.889380 4600
avg / total 0.949929 0.950369 0.950075 20169
Classification report for turbine 15, turbine category 3
precision recall f1-score support
19 0.963359 0.972702 0.968008 15569
20 0.904473 0.874783 0.889380 4600
avg / total 0.949929 0.950369 0.950075 20169
Classification report for turbine 15, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.964855 0.955745 0.960279 15569
20.0 0.894146 0.813478 0.851907 4600
avg / total 0.948728 0.923298 0.935562 20169
Classification report for turbine 15, turbine category 5
precision recall f1-score support
19 0.963359 0.972702 0.968008 15569
20 0.904473 0.874783 0.889380 4600
avg / total 0.949929 0.950369 0.950075 20169
Classification report for turbine 15, turbine category 6
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 0.901597 0.972487 0.935701 14575
20 0.806481 0.872869 0.838363 4106
avg / total 0.815716 0.880460 0.846852 20169
Classification report for turbine 15, turbine category 7
precision recall f1-score support
19 0.963359 0.972702 0.968008 15569
20 0.904473 0.874783 0.889380 4600
avg / total 0.949929 0.950369 0.950075 20169
Classification report for turbine 15, turbine category 8
precision recall f1-score support
10 0.676402 0.324552 0.438636 1784
11 0.155290 0.060106 0.086667 1514
12 0.052632 0.004662 0.008565 1287
13 0.000000 0.000000 0.000000 1050
14 0.005988 0.001258 0.002079 795
15 0.000000 0.000000 0.000000 533
16 0.000000 0.000000 0.000000 497
17 0.000000 0.000000 0.000000 448
18 0.000000 0.000000 0.000000 401
19 0.572074 0.943289 0.712213 9134
20 0.583831 0.680851 0.628620 2726
avg / total 0.413067 0.552779 0.453438 20169
Classification report for turbine 15, turbine category 9
precision recall f1-score support
10 0.750354 0.476854 0.583127 2225
11 0.000000 0.000000 0.000000 216
12 0.000000 0.000000 0.000000 180
13 0.000000 0.000000 0.000000 180
14 0.055556 0.005556 0.010101 180
15 0.062500 0.012121 0.020305 165
16 0.032258 0.006944 0.011429 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.873430 0.957759 0.913653 14086
20 0.563837 0.694611 0.622429 2505
avg / total 0.764046 0.807973 0.780067 20169
Classification report for turbine 15, turbine category 10
precision recall f1-score support
19 0.963359 0.972702 0.968008 15569
20 0.904473 0.874783 0.889380 4600
avg / total 0.949929 0.950369 0.950075 20169
Classification report for turbine 15, turbine category 11
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 0.153846 0.011111 0.020725 180
17 0.000000 0.000000 0.000000 180
18 0.000000 0.000000 0.000000 180
19 0.888513 0.971885 0.928331 14334
20 0.861217 0.878781 0.869910 4364
avg / total 0.819178 0.880956 0.848169 20169
Classification report for turbine 15, turbine category 12
precision recall f1-score support
19 0.963359 0.972702 0.968008 15569
20 0.904473 0.874783 0.889380 4600
avg / total 0.949929 0.950369 0.950075 20169
Classification report for turbine 15, turbine category 13
precision recall f1-score support
19 0.963359 0.972702 0.968008 15569
20 0.904473 0.874783 0.889380 4600
avg / total 0.949929 0.950369 0.950075 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.030303 0.166667 0.051282 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 0.941142 0.983203 0.961713 13157
20 0.956998 0.908569 0.932155 6442
avg / total 0.919681 0.931975 0.925215 20169
Classification report for turbine 15, turbine category 1
precision recall f1-score support
10 0.003226 0.015873 0.005362 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 0.029412 0.027778 0.028571 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 0.959185 0.966297 0.962728 13352
20 0.952751 0.910609 0.931204 6466
avg / total 0.940492 0.931727 0.935935 20169
Classification report for turbine 15, turbine category 2
precision recall f1-score support
19 0.977946 0.983098 0.980515 13667
20 0.964075 0.953399 0.958707 6502
avg / total 0.973474 0.973524 0.973485 20169
Classification report for turbine 15, turbine category 3
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 0.912876 0.982299 0.946316 12768
20 0.878849 0.952469 0.914179 5933
avg / total 0.836423 0.902028 0.867985 20169
Classification report for turbine 15, turbine category 4
precision recall f1-score support
10 0.172619 0.028128 0.048374 1031
11 0.000000 0.000000 0.000000 624
12 0.000000 0.000000 0.000000 504
13 0.000000 0.000000 0.000000 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 0.790575 0.978357 0.874499 11043
20 0.707356 0.938003 0.806513 4726
avg / total 0.607430 0.756904 0.670264 20169
Classification report for turbine 15, turbine category 5
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 0.953490 0.983041 0.968040 13326
20 0.935925 0.954027 0.944889 6308
avg / total 0.922704 0.947890 0.935121 20169
Classification report for turbine 15, turbine category 6
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 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.918744 0.975549 0.946295 12842
20 0.592827 0.913785 0.719118 4106
avg / total 0.705670 0.807179 0.748923 20169
Classification report for turbine 15, turbine category 7
precision recall f1-score support
19 0.977946 0.983098 0.980515 13667
20 0.964075 0.953399 0.958707 6502
avg / total 0.973474 0.973524 0.973485 20169
Classification report for turbine 15, turbine category 8
precision recall f1-score support
10 0.130345 0.591418 0.213612 536
11 0.079445 0.096923 0.087318 650
12 0.059432 0.040422 0.048117 569
13 0.019417 0.008403 0.011730 476
14 0.023364 0.010870 0.014837 460
15 0.021277 0.011527 0.014953 347
16 0.011236 0.006173 0.007968 324
17 0.006369 0.003086 0.004158 324
18 0.000000 0.000000 0.000000 324
19 0.751839 0.831563 0.789694 10449
20 0.866700 0.608056 0.714697 5710
avg / total 0.644217 0.623729 0.622370 20169
Classification report for turbine 15, turbine category 9
precision recall f1-score support
10 0.002284 0.190476 0.004515 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 0.962036 0.950319 0.956142 13466
20 0.944781 0.682358 0.792408 6394
avg / total 0.941829 0.851009 0.889591 20169
Classification report for turbine 15, turbine category 10
precision recall f1-score support
19 0.977946 0.983098 0.980515 13667
20 0.964075 0.953399 0.958707 6502
avg / total 0.973474 0.973524 0.973485 20169
Classification report for turbine 15, turbine category 11
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
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 0.960405 0.977390 0.968823 13401
20 0.955094 0.952734 0.953913 6474
avg / total 0.944701 0.955228 0.949915 20169
Classification report for turbine 15, turbine category 12
precision recall f1-score support
19 0.977946 0.983098 0.980515 13667
20 0.964075 0.953399 0.958707 6502
avg / total 0.973474 0.973524 0.973485 20169
Classification report for turbine 15, turbine category 13
precision recall f1-score support
19 0.977946 0.983098 0.980515 13667
20 0.964075 0.953399 0.958707 6502
avg / total 0.973474 0.973524 0.973485 20169
------------------------------------------------------------------------
Classification report for turbine 15, turbine category 0
precision recall f1-score support
10 0.277778 0.010616 0.020450 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 0.823744 0.986798 0.897929 11665
20 0.893199 0.867024 0.879917 6347
avg / total 0.763991 0.843820 0.796708 20169
Classification report for turbine 15, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.938286 0.967868 0.952848 13258
20.0 0.968040 0.863406 0.912734 6911
avg / total 0.948481 0.932074 0.939103 20169
Classification report for turbine 15, turbine category 2
precision recall f1-score support
19 0.934910 0.986951 0.960226 13258
20 0.971975 0.868181 0.917151 6911
avg / total 0.947610 0.946254 0.945466 20169
Classification report for turbine 15, turbine category 3
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 0.915860 0.982849 0.948173 13002
20 0.966077 0.866249 0.913444 6871
avg / total 0.919527 0.928702 0.922426 20169
Classification report for turbine 15, turbine category 4
precision recall f1-score support
10 0.114815 0.073200 0.089402 847
11 0.010239 0.004926 0.006652 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 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.825029 0.965198 0.889626 11666
20 0.817348 0.762011 0.788710 5849
avg / total 0.719369 0.782488 0.747252 20169
Classification report for turbine 15, turbine category 5
precision recall f1-score support
10 0.000000 0.000000 0.000000 96
11 0.000000 0.000000 0.000000 144
12 0.121212 0.028169 0.045714 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 0.904187 0.986360 0.943488 12830
20 0.943978 0.856993 0.898385 6685
avg / total 0.888910 0.911696 0.898267 20169
Classification report for turbine 15, turbine category 6
precision recall f1-score support
10 0.002128 0.011765 0.003604 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 0.023810 0.009259 0.013333 108
16 0.121951 0.046296 0.067114 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.883098 0.974986 0.926770 12513
20 0.937250 0.803936 0.865490 6707
avg / total 0.860343 0.872577 0.863231 20169
Classification report for turbine 15, turbine category 7
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 0.920120 0.987501 0.952620 13041
20 0.956261 0.867196 0.909553 6807
avg / total 0.917673 0.931182 0.922924 20169
Classification report for turbine 15, turbine category 8
precision recall f1-score support
10 0.039624 0.322404 0.070574 183
11 0.043478 0.046099 0.044750 282
12 0.006452 0.007937 0.007117 252
13 0.014286 0.011905 0.012987 252
14 0.011494 0.016129 0.013423 248
15 0.017241 0.004630 0.007299 216
16 0.008264 0.004630 0.005935 216
17 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 216
19 0.831621 0.906888 0.867625 11513
20 0.922813 0.654601 0.765904 6575
avg / total 0.777185 0.735188 0.746769 20169
Classification report for turbine 15, turbine category 9
precision recall f1-score support
10 0.697640 0.233350 0.349723 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 0.000000 0.000000 0.000000 108
15 0.000000 0.000000 0.000000 108
16 0.062500 0.009259 0.016129 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.879470 0.981579 0.927723 12377
20 0.696834 0.818315 0.752705 4761
avg / total 0.774639 0.819029 0.782225 20169
Classification report for turbine 15, turbine category 10
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 0.915190 0.986674 0.949589 12982
20 0.969707 0.868669 0.916412 6891
avg / total 0.920385 0.931876 0.924317 20169
Classification report for turbine 15, turbine category 11
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 0.904727 0.981185 0.941407 12756
20 0.957707 0.859341 0.905861 6825
avg / total 0.896279 0.911349 0.901933 20169
Classification report for turbine 15, turbine category 12
precision recall f1-score support
19 0.934910 0.986951 0.960226 13258
20 0.971975 0.868181 0.917151 6911
avg / total 0.947610 0.946254 0.945466 20169
Classification report for turbine 15, turbine category 13
precision recall f1-score support
19 0.934910 0.986951 0.960226 13258
20 0.971975 0.868181 0.917151 6911
avg / total 0.947610 0.946254 0.945466 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.967780 0.980363 0.974031 14921
20.0 0.952471 0.862995 0.905528 5248
avg / total 0.963797 0.949824 0.956207 20169
Classification report for turbine 15, turbine category 1
precision recall f1-score support
10 0.111111 0.011905 0.021505 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 0.953091 0.978638 0.965695 14699
20 0.928586 0.905453 0.916874 5098
avg / total 0.929781 0.942139 0.935633 20169
Classification report for turbine 15, turbine category 2
precision recall f1-score support
19 0.964293 0.986395 0.975219 14921
20 0.958622 0.896151 0.926334 5248
avg / total 0.962817 0.962913 0.962499 20169
Classification report for turbine 15, turbine category 3
precision recall f1-score support
10 0.038462 0.066667 0.048780 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 0.948435 0.985011 0.966377 14677
20 0.944774 0.890324 0.916741 5188
avg / total 0.933227 0.945858 0.939080 20169
Classification report for turbine 15, turbine category 4
precision recall f1-score support
10 0.085153 0.052139 0.064677 748
11 0.038462 0.008230 0.013559 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 0.892192 0.973795 0.931209 13776
20 0.779508 0.798613 0.788945 4325
avg / total 0.780170 0.838415 0.807784 20169
Classification report for turbine 15, turbine category 5
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 0.876451 0.985692 0.927867 13559
20 0.719804 0.872430 0.788802 4037
avg / total 0.733286 0.837275 0.781662 20169
Classification report for turbine 15, turbine category 6
precision recall f1-score support
10 0.003484 0.007519 0.004762 133
11 0.000000 0.000000 0.000000 216
12 0.000000 0.000000 0.000000 216
13 0.083333 0.004630 0.008772 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 213
18 0.000000 0.000000 0.000000 180
19 0.875896 0.984485 0.927021 13535
20 0.872802 0.835619 0.853806 4812
avg / total 0.796948 0.860132 0.825934 20169
Classification report for turbine 15, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.964546 0.984585 0.974463 14921
20.0 0.957070 0.896341 0.925711 5248
avg / total 0.962601 0.961624 0.961777 20169
Classification report for turbine 15, turbine category 8
precision recall f1-score support
10 0.524249 0.206928 0.296732 1097
11 0.106195 0.021938 0.036364 1094
12 0.068750 0.012209 0.020735 901
13 0.071429 0.011577 0.019925 691
14 0.000000 0.000000 0.000000 589
15 0.000000 0.000000 0.000000 507
16 0.000000 0.000000 0.000000 468
17 0.016949 0.002278 0.004016 439
18 0.000000 0.000000 0.000000 432
19 0.693468 0.942646 0.799082 10531
20 0.638541 0.849708 0.729143 3420
avg / total 0.510523 0.649710 0.560678 20169
Classification report for turbine 15, turbine category 9
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 0.961592 0.975266 0.968381 14838
20 0.910802 0.847532 0.878029 5024
avg / total 0.934304 0.928603 0.931135 20169
Classification report for turbine 15, turbine category 10
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
19.0 0.964293 0.986395 0.975219 14921
20.0 0.958792 0.895579 0.926108 5248
avg / total 0.962862 0.962765 0.962440 20169
Classification report for turbine 15, turbine category 11
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.966245 0.982240 0.974177 14921
20.0 0.952391 0.899581 0.925233 5248
avg / total 0.962640 0.960732 0.961441 20169
Classification report for turbine 15, turbine category 12
precision recall f1-score support
19 0.964293 0.986395 0.975219 14921
20 0.958622 0.896151 0.926334 5248
avg / total 0.962817 0.962913 0.962499 20169
Classification report for turbine 15, turbine category 13
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 0.945882 0.986201 0.965621 14639
20 0.953934 0.896037 0.924079 5223
avg / total 0.933570 0.947841 0.940165 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.252525 0.125628 0.167785 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 0.945846 0.987152 0.966058 15800
20 0.865617 0.934446 0.898716 3295
avg / total 0.884864 0.927215 0.905269 20169
Classification report for turbine 15, turbine category 1
precision recall f1-score support
10 0.071429 0.020548 0.031915 146
11 0.000000 0.000000 0.000000 118
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 0.938824 0.986606 0.962122 15679
20 0.910759 0.944092 0.927126 3470
avg / total 0.887034 0.929545 0.907675 20169
Classification report for turbine 15, turbine category 2
precision recall f1-score support
19 0.990027 0.990147 0.990087 16543
20 0.955022 0.954495 0.954759 3626
avg / total 0.983734 0.983737 0.983736 20169
Classification report for turbine 15, turbine category 3
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 0.973695 0.989492 0.981530 16273
20 0.945766 0.950501 0.948128 3596
avg / total 0.954233 0.967822 0.960975 20169
Classification report for turbine 15, turbine category 4
precision recall f1-score support
10 0.108883 0.052055 0.070436 730
11 0.010526 0.002315 0.003795 432
12 0.100000 0.016204 0.027888 432
13 0.000000 0.000000 0.000000 432
14 0.068966 0.004808 0.008989 416
15 0.000000 0.000000 0.000000 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 0.828786 0.977844 0.897166 13856
20 0.641455 0.830417 0.723806 2400
avg / total 0.653432 0.772968 0.705891 20169
Classification report for turbine 15, turbine category 5
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 0.943415 0.984898 0.963710 15760
20 0.848029 0.920591 0.882822 3249
avg / total 0.873790 0.917894 0.895253 20169
Classification report for turbine 15, turbine category 6
precision recall f1-score support
10 0.086364 0.069597 0.077079 273
11 0.076923 0.002315 0.004494 432
12 0.000000 0.000000 0.000000 432
13 0.000000 0.000000 0.000000 432
14 0.000000 0.000000 0.000000 416
15 0.000000 0.000000 0.000000 396
16 0.000000 0.000000 0.000000 396
17 0.000000 0.000000 0.000000 396
18 0.000000 0.000000 0.000000 394
19 0.832007 0.986107 0.902527 13892
20 0.698445 0.878598 0.778232 2710
avg / total 0.669733 0.798255 0.727348 20169
Classification report for turbine 15, turbine category 7
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990025 0.989905 0.989965 16543
20.0 0.954746 0.954220 0.954483 3626
avg / total 0.983682 0.983490 0.983586 20169
Classification report for turbine 15, turbine category 8
precision recall f1-score support
10 0.692683 0.348039 0.463295 1224
11 0.159353 0.063014 0.090314 1095
12 0.060150 0.019025 0.028907 841
13 0.095238 0.016925 0.028743 709
14 0.034483 0.006098 0.010363 656
15 0.051282 0.006536 0.011594 612
16 0.040000 0.003623 0.006645 552
17 0.014493 0.001919 0.003390 521
18 0.017857 0.002016 0.003623 496
19 0.674596 0.924331 0.779961 11167
20 0.672115 0.895470 0.767880 2296
avg / total 0.511147 0.640240 0.555538 20169
Classification report for turbine 15, turbine category 9
precision recall f1-score support
10 0.012500 0.020000 0.015385 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 0.956725 0.984489 0.970409 15989
20 0.919065 0.920377 0.919721 3504
avg / total 0.918178 0.940453 0.929154 20169
Classification report for turbine 15, turbine category 10
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 0.971650 0.989839 0.980660 16239
20 0.883002 0.958084 0.919012 3340
avg / total 0.928546 0.955625 0.941764 20169
Classification report for turbine 15, turbine category 11
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 0.974040 0.987092 0.980523 16269
20 0.945634 0.955075 0.950331 3606
avg / total 0.954763 0.966979 0.960832 20169
Classification report for turbine 15, turbine category 12
precision recall f1-score support
19 0.990027 0.990147 0.990087 16543
20 0.955022 0.954495 0.954759 3626
avg / total 0.983734 0.983737 0.983736 20169
Classification report for turbine 15, turbine category 13
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.990025 0.989966 0.989995 16543
20.0 0.954923 0.952289 0.953604 3626
avg / total 0.983715 0.983192 0.983453 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 1
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 2
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 3
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.921149 0.995003 0.956653 18210
20.0 0.956876 0.561586 0.707780 3556
avg / total 0.926986 0.924194 0.915993 21766
Classification report for turbine 16, turbine category 5
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 6
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 0.905246 0.994533 0.947791 17925
20 0.955461 0.507749 0.663109 3549
avg / total 0.901289 0.901819 0.888658 21766
Classification report for turbine 16, turbine category 7
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 8
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 0.133333 0.013889 0.025157 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 0.860298 0.986155 0.918937 16829
20 0.853183 0.611421 0.712349 3222
avg / total 0.792341 0.853074 0.816117 21766
Classification report for turbine 16, turbine category 9
precision recall f1-score support
10 0.842543 0.715532 0.773860 2408
11 0.058824 0.001546 0.003012 647
12 0.000000 0.000000 0.000000 605
13 0.000000 0.000000 0.000000 576
14 0.000000 0.000000 0.000000 546
15 0.076923 0.003914 0.007449 511
16 0.000000 0.000000 0.000000 504
17 0.000000 0.000000 0.000000 504
18 0.000000 0.000000 0.000000 422
19 0.710825 0.990286 0.827601 13898
20 0.195833 0.041048 0.067870 1145
avg / total 0.560943 0.713774 0.617886 21766
Classification report for turbine 16, turbine category 10
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 45
11 0.000000 0.000000 0.000000 252
12 0.071429 0.003968 0.007519 252
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 236
19 0.836747 0.986066 0.905291 16363
20 0.943742 0.644431 0.765882 3358
avg / total 0.775466 0.840761 0.798815 21766
Classification report for turbine 16, turbine category 12
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 21766
Classification report for turbine 16, turbine category 13
precision recall f1-score support
19 0.927942 0.995003 0.960303 18210
20 0.959375 0.604331 0.741546 3556
avg / total 0.933078 0.931177 0.924564 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.874156 0.986373 0.926880 17465
20 0.730452 0.648276 0.686915 2320
avg / total 0.779279 0.860562 0.816944 21766
Classification report for turbine 16, turbine category 1
precision recall f1-score support
19 0.951388 0.986011 0.968390 19015
20 0.870811 0.651763 0.745530 2751
avg / total 0.941204 0.943766 0.940223 21766
Classification report for turbine 16, turbine category 2
precision recall f1-score support
19 0.951388 0.986011 0.968390 19015
20 0.870811 0.651763 0.745530 2751
avg / total 0.941204 0.943766 0.940223 21766
Classification report for turbine 16, turbine category 3
precision recall f1-score support
19 0.951388 0.986011 0.968390 19015
20 0.870811 0.651763 0.745530 2751
avg / total 0.941204 0.943766 0.940223 21766
Classification report for turbine 16, turbine category 4
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.951289 0.985958 0.968313 19015
20.0 0.870623 0.650672 0.744747 2751
avg / total 0.941093 0.943582 0.940057 21766
Classification report for turbine 16, turbine category 5
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 0.938854 0.986352 0.962017 18758
20 0.815930 0.638055 0.716113 2633
avg / total 0.907809 0.927226 0.915696 21766
Classification report for turbine 16, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.950644 0.985590 0.967802 19015
20.0 0.874236 0.624137 0.728314 2751
avg / total 0.940987 0.939906 0.937533 21766
Classification report for turbine 16, turbine category 7
precision recall f1-score support
19 0.951388 0.986011 0.968390 19015
20 0.870811 0.651763 0.745530 2751
avg / total 0.941204 0.943766 0.940223 21766
Classification report for turbine 16, turbine category 8
precision recall f1-score support
10 0.094444 0.037778 0.053968 450
11 0.000000 0.000000 0.000000 223
12 0.000000 0.000000 0.000000 216
13 0.050000 0.004630 0.008475 216
14 0.000000 0.000000 0.000000 216
15 0.047619 0.004630 0.008439 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 0.862842 0.973493 0.914834 17241
20 0.735309 0.604274 0.663383 2340
avg / total 0.765435 0.836948 0.797248 21766
Classification report for turbine 16, turbine category 9
precision recall f1-score support
10 0.518631 0.835894 0.640107 1432
11 0.075728 0.059724 0.066781 653
12 0.006711 0.001634 0.002628 612
13 0.000000 0.000000 0.000000 612
14 0.005102 0.001634 0.002475 612
15 0.015228 0.005190 0.007742 578
16 0.067164 0.015625 0.025352 576
17 0.031250 0.003711 0.006633 539
18 0.054545 0.012821 0.020761 468
19 0.747671 0.903650 0.818293 14385
20 0.645161 0.215550 0.323139 1299
avg / total 0.573487 0.667877 0.605837 21766
Classification report for turbine 16, turbine category 10
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 0.939565 0.985838 0.962145 18782
20 0.844099 0.645617 0.731635 2692
avg / total 0.915153 0.930534 0.920728 21766
Classification report for turbine 16, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 20
11 0.000000 0.000000 0.000000 108
12 0.027778 0.009259 0.013889 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.035714 0.009259 0.014706 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 0.916451 0.972817 0.943793 18210
20 0.847637 0.691243 0.761492 2672
avg / total 0.871098 0.898833 0.883225 21766
Classification report for turbine 16, turbine category 12
precision recall f1-score support
19 0.951388 0.986011 0.968390 19015
20 0.870811 0.651763 0.745530 2751
avg / total 0.941204 0.943766 0.940223 21766
Classification report for turbine 16, turbine category 13
precision recall f1-score support
19 0.951388 0.986011 0.968390 19015
20 0.870811 0.651763 0.745530 2751
avg / total 0.941204 0.943766 0.940223 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.905011 0.937360 0.920902 8477
20.0 0.966456 0.930093 0.947925 13289
avg / total 0.942525 0.932923 0.937401 21766
Classification report for turbine 16, turbine category 1
precision recall f1-score support
19 0.916165 0.951398 0.933449 8477
20 0.968217 0.944465 0.956194 13289
avg / total 0.947945 0.947165 0.947336 21766
Classification report for turbine 16, turbine category 2
precision recall f1-score support
19 0.916165 0.951398 0.933449 8477
20 0.968217 0.944465 0.956194 13289
avg / total 0.947945 0.947165 0.947336 21766
Classification report for turbine 16, turbine category 3
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 0.916051 0.951392 0.933387 8476
20 0.944380 0.943143 0.943761 12980
avg / total 0.919898 0.932923 0.926280 21766
Classification report for turbine 16, turbine category 4
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 0.824264 0.947258 0.881492 7660
20 0.959732 0.944575 0.952093 13171
avg / total 0.870830 0.904943 0.886348 21766
Classification report for turbine 16, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.917277 0.945736 0.931289 8477
20.0 0.967948 0.945368 0.956525 13289
avg / total 0.948214 0.945511 0.946697 21766
Classification report for turbine 16, turbine category 6
precision recall f1-score support
10 0.114000 0.067776 0.085011 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 0.804722 0.946825 0.870009 7560
20 0.914806 0.906155 0.910460 12478
avg / total 0.808349 0.850960 0.827413 21766
Classification report for turbine 16, turbine category 7
precision recall f1-score support
19 0.916165 0.951398 0.933449 8477
20 0.968217 0.944465 0.956194 13289
avg / total 0.947945 0.947165 0.947336 21766
Classification report for turbine 16, turbine category 8
precision recall f1-score support
10 0.018644 0.070064 0.029451 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 0.000000 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 0.874865 0.889188 0.881968 8185
20 0.932804 0.923801 0.928281 12848
avg / total 0.879737 0.880180 0.879816 21766
Classification report for turbine 16, turbine category 9
precision recall f1-score support
10 0.027934 0.916129 0.054214 310
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 75
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.051282 0.018519 0.027211 108
19 0.885140 0.831138 0.857289 8048
20 0.931951 0.250845 0.395293 12721
avg / total 0.872606 0.467059 0.548917 21766
Classification report for turbine 16, turbine category 10
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 0.879941 0.950086 0.913669 8154
20 0.943604 0.943969 0.943786 12957
avg / total 0.891359 0.917854 0.904103 21766
Classification report for turbine 16, turbine category 11
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 0.911476 0.913336 0.912405 8331
20 0.950986 0.943388 0.947171 13142
avg / total 0.923062 0.919186 0.921114 21766
Classification report for turbine 16, turbine category 12
precision recall f1-score support
19 0.916165 0.951398 0.933449 8477
20 0.968217 0.944465 0.956194 13289
avg / total 0.947945 0.947165 0.947336 21766
Classification report for turbine 16, turbine category 13
precision recall f1-score support
19 0.916165 0.951398 0.933449 8477
20 0.968217 0.944465 0.956194 13289
avg / total 0.947945 0.947165 0.947336 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986390 0.986608 0.986499 18145
20.0 0.951116 0.929577 0.940223 3621
avg / total 0.980522 0.977120 0.978801 21766
Classification report for turbine 16, turbine category 1
precision recall f1-score support
19 0.986333 0.990355 0.988340 18145
20 0.950663 0.931234 0.940848 3621
avg / total 0.980399 0.980520 0.980439 21766
Classification report for turbine 16, turbine category 2
precision recall f1-score support
19 0.986333 0.990355 0.988340 18145
20 0.950663 0.931234 0.940848 3621
avg / total 0.980399 0.980520 0.980439 21766
Classification report for turbine 16, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
19.0 0.986333 0.990355 0.988340 18145
20.0 0.950341 0.924883 0.937439 3621
avg / total 0.980345 0.979463 0.979872 21766
Classification report for turbine 16, turbine category 4
precision recall f1-score support
10 0.272727 0.006224 0.012170 482
11 0.000000 0.000000 0.000000 260
12 0.006369 0.004630 0.005362 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 0.929221 0.973529 0.950859 17113
20 0.840422 0.915138 0.876190 3217
avg / total 0.860894 0.900855 0.877413 21766
Classification report for turbine 16, turbine category 5
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
19.0 0.986386 0.990245 0.988312 18145
20.0 0.950409 0.931511 0.940865 3621
avg / total 0.980400 0.980474 0.980418 21766
Classification report for turbine 16, turbine category 6
precision recall f1-score support
10 0.242574 0.746193 0.366127 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 0.964673 0.986201 0.975318 17610
20 0.920369 0.800515 0.856268 3494
avg / total 0.930416 0.933153 0.929857 21766
Classification report for turbine 16, turbine category 7
precision recall f1-score support
19 0.986333 0.990355 0.988340 18145
20 0.950663 0.931234 0.940848 3621
avg / total 0.980399 0.980520 0.980439 21766
Classification report for turbine 16, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987124 0.984459 0.985790 18145
20.0 0.946744 0.859155 0.900825 3621
avg / total 0.980407 0.963613 0.971655 21766
Classification report for turbine 16, turbine category 9
precision recall f1-score support
10 0.232829 0.519481 0.321543 385
11 0.000000 0.000000 0.000000 536
12 0.000000 0.000000 0.000000 504
13 0.061224 0.005952 0.010850 504
14 0.000000 0.000000 0.000000 492
15 0.017544 0.002151 0.003831 465
16 0.000000 0.000000 0.000000 421
17 0.017857 0.002326 0.004115 430
18 0.000000 0.000000 0.000000 396
19 0.784613 0.965109 0.865551 14445
20 0.904605 0.776349 0.835584 3188
avg / total 0.659466 0.763622 0.702910 21766
Classification report for turbine 16, turbine category 10
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.986202 0.988702 0.987450 18145
20.0 0.948217 0.925435 0.936688 3621
avg / total 0.979883 0.978177 0.979006 21766
Classification report for turbine 16, turbine category 11
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 0.942886 0.985793 0.963862 17316
20 0.937623 0.935258 0.936439 3568
avg / total 0.903815 0.937563 0.920309 21766
Classification report for turbine 16, turbine category 12
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 0.960371 0.990153 0.975035 17671
20 0.567240 0.906306 0.697763 2220
avg / total 0.837544 0.896306 0.862762 21766
Classification report for turbine 16, turbine category 13
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 0.950656 0.990960 0.970390 17478
20 0.930646 0.931171 0.930908 3545
avg / total 0.914945 0.947395 0.930834 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.995074 0.994979 0.995027 21113
20.0 0.886914 0.840735 0.863208 653
avg / total 0.991829 0.990352 0.991072 21766
Classification report for turbine 16, turbine category 1
precision recall f1-score support
19 0.995129 0.996637 0.995882 21113
20 0.885668 0.842266 0.863422 653
avg / total 0.991845 0.992006 0.991909 21766
Classification report for turbine 16, turbine category 2
precision recall f1-score support
19 0.995129 0.996637 0.995882 21113
20 0.885668 0.842266 0.863422 653
avg / total 0.991845 0.992006 0.991909 21766
Classification report for turbine 16, turbine category 3
precision recall f1-score support
19 0.995129 0.996637 0.995882 21113
20 0.885668 0.842266 0.863422 653
avg / total 0.991845 0.992006 0.991909 21766
Classification report for turbine 16, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.995170 0.995406 0.995288 21113
20.0 0.875451 0.742726 0.803645 653
avg / total 0.991578 0.987825 0.989538 21766
Classification report for turbine 16, turbine category 5
precision recall f1-score support
18.0 0.000000 0.000000 0.000000 0
19.0 0.995129 0.996590 0.995859 21113
20.0 0.885668 0.842266 0.863422 653
avg / total 0.991845 0.991960 0.991885 21766
Classification report for turbine 16, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 4
11.0 0.000000 0.000000 0.000000 36
12.0 0.000000 0.000000 0.000000 36
13.0 0.000000 0.000000 0.000000 36
14.0 0.000000 0.000000 0.000000 3
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989950 0.994239 0.992090 21003
20.0 0.880992 0.822531 0.850758 648
avg / total 0.981476 0.983874 0.982640 21766
Classification report for turbine 16, turbine category 7
precision recall f1-score support
19 0.995129 0.996637 0.995882 21113
20 0.885668 0.842266 0.863422 653
avg / total 0.991845 0.992006 0.991909 21766
Classification report for turbine 16, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.995400 0.994079 0.994739 21113
20.0 0.882448 0.839204 0.860283 653
avg / total 0.992011 0.989433 0.990705 21766
Classification report for turbine 16, turbine category 9
precision recall f1-score support
10 0.805054 0.564557 0.663690 395
11 0.034884 0.004724 0.008322 635
12 0.000000 0.000000 0.000000 612
13 0.010989 0.001838 0.003150 544
14 0.000000 0.000000 0.000000 514
15 0.023256 0.003968 0.006780 504
16 0.000000 0.000000 0.000000 498
17 0.013333 0.002137 0.003683 468
18 0.000000 0.000000 0.000000 444
19 0.795797 0.964769 0.872174 16917
20 0.368421 0.565957 0.446309 235
avg / total 0.639215 0.766517 0.695293 21766
Classification report for turbine 16, turbine category 10
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.995081 0.996542 0.995811 21113
20.0 0.886731 0.839204 0.862313 653
avg / total 0.991831 0.991822 0.991806 21766
Classification report for turbine 16, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 12
11 0.111111 0.013889 0.024691 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 0.968685 0.992405 0.980402 20541
20 0.858034 0.863422 0.860720 637
avg / total 0.939645 0.961867 0.950496 21766
Classification report for turbine 16, turbine category 12
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.995214 0.994695 0.994954 21113
20.0 0.886914 0.840735 0.863208 653
avg / total 0.991965 0.990076 0.991002 21766
Classification report for turbine 16, turbine category 13
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 0.981824 0.996206 0.988963 20822
20 0.869219 0.847589 0.858268 643
avg / total 0.964920 0.978039 0.971426 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
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 0.969366 0.982088 0.975685 18591
20 0.858911 0.875315 0.867036 2775
avg / total 0.941926 0.954946 0.948391 21663
Classification report for turbine 17, turbine category 1
precision recall f1-score support
19 0.980834 0.982085 0.981459 18811
20 0.880835 0.873422 0.877113 2852
avg / total 0.967668 0.967779 0.967721 21663
Classification report for turbine 17, turbine category 2
precision recall f1-score support
19 0.980834 0.982085 0.981459 18811
20 0.880835 0.873422 0.877113 2852
avg / total 0.967668 0.967779 0.967721 21663
Classification report for turbine 17, turbine category 3
precision recall f1-score support
10 0.941176 0.238806 0.380952 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 0.965583 0.977053 0.971284 18521
20 0.844643 0.869485 0.856884 2720
avg / total 0.937410 0.945991 0.940356 21663
Classification report for turbine 17, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.980471 0.982191 0.981331 18811
20.0 0.882142 0.860799 0.871340 2852
avg / total 0.967526 0.966210 0.966850 21663
Classification report for turbine 17, turbine category 5
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.980714 0.978576 0.979644 18811
20.0 0.880792 0.873072 0.876915 2852
avg / total 0.967559 0.964686 0.966119 21663
Classification report for turbine 17, turbine category 6
precision recall f1-score support
10 0.113889 0.445652 0.181416 92
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.010204 0.006944 0.008264 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 0.009639 0.027778 0.014311 144
18 0.000000 0.000000 0.000000 144
19 0.933151 0.933881 0.933516 17907
20 0.766967 0.778264 0.772575 2512
avg / total 0.860910 0.864331 0.862167 21663
Classification report for turbine 17, turbine category 7
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 0.966764 0.982412 0.974525 18535
20 0.836987 0.874077 0.855130 2708
avg / total 0.931798 0.949822 0.940706 21663
Classification report for turbine 17, turbine category 8
precision recall f1-score support
10 0.006897 0.005051 0.005831 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 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.954136 0.967643 0.960842 18296
20 0.800305 0.809873 0.805060 2593
avg / total 0.901696 0.914232 0.907919 21663
Classification report for turbine 17, turbine category 9
precision recall f1-score support
10 0.727147 0.800915 0.762250 1311
11 0.027439 0.018219 0.021898 494
12 0.064897 0.048140 0.055276 457
13 0.043118 0.060185 0.050242 432
14 0.011905 0.005464 0.007491 366
15 0.000000 0.000000 0.000000 304
16 0.000000 0.000000 0.000000 288
17 0.055046 0.020833 0.030227 288
18 0.021505 0.006944 0.010499 288
19 0.856743 0.890159 0.873132 16178
20 0.627465 0.708831 0.665671 1257
avg / total 0.724306 0.757467 0.740149 21663
Classification report for turbine 17, turbine category 10
precision recall f1-score support
19 0.980834 0.982085 0.981459 18811
20 0.880835 0.873422 0.877113 2852
avg / total 0.967668 0.967779 0.967721 21663
Classification report for turbine 17, turbine category 11
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 0.880276 0.984093 0.929294 16848
20 0.766620 0.880943 0.819815 2461
avg / total 0.771709 0.865439 0.815875 21663
Classification report for turbine 17, turbine category 12
precision recall f1-score support
19 0.980834 0.982085 0.981459 18811
20 0.880835 0.873422 0.877113 2852
avg / total 0.967668 0.967779 0.967721 21663
Classification report for turbine 17, turbine category 13
precision recall f1-score support
19 0.980834 0.982085 0.981459 18811
20 0.880835 0.873422 0.877113 2852
avg / total 0.967668 0.967779 0.967721 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 0
precision recall f1-score support
10 0.000000 0.000000 0.000000 173
11 0.000000 0.000000 0.000000 144
12 1.000000 0.013889 0.027397 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 0.894553 0.979352 0.935034 15159
20 0.903796 0.818689 0.859140 5554
avg / total 0.864341 0.895305 0.874754 21663
Classification report for turbine 17, turbine category 1
precision recall f1-score support
19 0.940864 0.978884 0.959497 15912
20 0.934221 0.829769 0.878902 5751
avg / total 0.939100 0.939297 0.938101 21663
Classification report for turbine 17, turbine category 2
precision recall f1-score support
19 0.940864 0.978884 0.959497 15912
20 0.934221 0.829769 0.878902 5751
avg / total 0.939100 0.939297 0.938101 21663
Classification report for turbine 17, turbine category 3
precision recall f1-score support
10 0.025000 0.011628 0.015873 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 0.939383 0.977341 0.957986 15888
20 0.864668 0.812268 0.837649 5396
avg / total 0.904437 0.919171 0.911315 21663
Classification report for turbine 17, turbine category 4
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 0.929935 0.978767 0.953726 15730
20 0.912166 0.817408 0.862191 5641
avg / total 0.912773 0.923556 0.917035 21663
Classification report for turbine 17, turbine category 5
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.940607 0.977376 0.958639 15912
20.0 0.934182 0.829247 0.878592 5751
avg / total 0.938902 0.938051 0.937389 21663
Classification report for turbine 17, turbine category 6
precision recall f1-score support
10 0.687003 0.398615 0.504505 2599
11 0.000000 0.000000 0.000000 1049
12 0.000000 0.000000 0.000000 877
13 0.000000 0.000000 0.000000 825
14 0.000000 0.000000 0.000000 751
15 0.000000 0.000000 0.000000 618
16 0.000000 0.000000 0.000000 504
17 0.000000 0.000000 0.000000 501
18 0.000000 0.000000 0.000000 448
19 0.667434 0.957790 0.786675 10590
20 0.459378 0.738711 0.566482 2901
avg / total 0.470217 0.614966 0.520956 21663
Classification report for turbine 17, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.937824 0.978255 0.957613 15912
20.0 0.933599 0.814119 0.869775 5751
avg / total 0.936702 0.934681 0.934294 21663
Classification report for turbine 17, turbine category 8
precision recall f1-score support
10 0.153846 0.161290 0.157480 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 0.899543 0.969170 0.933060 15245
20 0.896772 0.793198 0.841811 5498
avg / total 0.861958 0.884734 0.871627 21663
Classification report for turbine 17, turbine category 9
precision recall f1-score support
10 0.409483 0.608000 0.489375 2500
11 0.060484 0.014151 0.022936 1060
12 0.032258 0.004251 0.007512 941
13 0.024259 0.010297 0.014458 874
14 0.019802 0.002538 0.004499 788
15 0.000000 0.000000 0.000000 610
16 0.095890 0.012153 0.021572 576
17 0.032258 0.001736 0.003295 576
18 0.023810 0.001821 0.003384 549
19 0.674766 0.945471 0.787504 10985
20 0.462500 0.318966 0.377551 2204
avg / total 0.446546 0.583853 0.497163 21663
Classification report for turbine 17, turbine category 10
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 0.932468 0.979319 0.955319 15763
20 0.894479 0.830878 0.861507 5499
avg / total 0.905564 0.923510 0.913822 21663
Classification report for turbine 17, turbine category 11
precision recall f1-score support
10 0.016393 0.083333 0.027397 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 0.018519 0.013889 0.015873 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 0.921661 0.966630 0.943610 15433
20 0.911969 0.837292 0.873036 5642
avg / total 0.894191 0.906800 0.899685 21663
Classification report for turbine 17, turbine category 12
precision recall f1-score support
19 0.940864 0.978884 0.959497 15912
20 0.934221 0.829769 0.878902 5751
avg / total 0.939100 0.939297 0.938101 21663
Classification report for turbine 17, turbine category 13
precision recall f1-score support
19 0.940864 0.978884 0.959497 15912
20 0.934221 0.829769 0.878902 5751
avg / total 0.939100 0.939297 0.938101 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10 0.043011 0.036036 0.039216 222
11 0.058824 0.005102 0.009390 196
12 0.000000 0.000000 0.000000 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 0.863210 0.961260 0.909600 10635
20 0.947513 0.906263 0.926429 9900
avg / total 0.857762 0.886488 0.870415 21663
Classification report for turbine 17, turbine category 1
precision recall f1-score support
19 0.897619 0.987965 0.940627 11217
20 0.985510 0.878997 0.929211 10446
avg / total 0.940000 0.935420 0.935122 21663
Classification report for turbine 17, turbine category 2
precision recall f1-score support
19 0.897619 0.987965 0.940627 11217
20 0.985510 0.878997 0.929211 10446
avg / total 0.940000 0.935420 0.935122 21663
Classification report for turbine 17, turbine category 3
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 0.875779 0.987859 0.928449 10955
20 0.978698 0.871797 0.922160 10382
avg / total 0.911924 0.917371 0.911463 21663
Classification report for turbine 17, turbine category 4
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.897610 0.987876 0.940582 11217
20.0 0.985562 0.875646 0.927358 10446
avg / total 0.940021 0.933758 0.934206 21663
Classification report for turbine 17, turbine category 5
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
19.0 0.897594 0.987697 0.940492 11217
20.0 0.985510 0.878997 0.929211 10446
avg / total 0.939988 0.935281 0.935053 21663
Classification report for turbine 17, turbine category 6
precision recall f1-score support
10 0.032239 0.281330 0.057849 391
11 0.005376 0.006667 0.005952 150
12 0.009709 0.009259 0.009479 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 0.007143 0.009259 0.008065 108
18 0.000000 0.000000 0.000000 108
19 0.865262 0.925365 0.894305 10826
20 0.898456 0.549057 0.681588 9540
avg / total 0.828778 0.709459 0.748257 21663
Classification report for turbine 17, turbine category 7
precision recall f1-score support
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.897149 0.987608 0.940208 11217
20.0 0.985386 0.877848 0.928514 10446
avg / total 0.939697 0.934681 0.934569 21663
Classification report for turbine 17, turbine category 8
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 0.000000 0.000000 0.000000 144
17 0.000000 0.000000 0.000000 144
18 0.000000 0.000000 0.000000 144
19 0.820203 0.984018 0.894674 10199
20 0.959728 0.873097 0.914365 10181
avg / total 0.837199 0.873609 0.850941 21663
Classification report for turbine 17, turbine category 9
precision recall f1-score support
10 0.128152 0.477401 0.202062 1416
11 0.003989 0.004854 0.004380 618
12 0.025641 0.012848 0.017118 467
13 0.033613 0.023055 0.027350 347
14 0.022388 0.018519 0.020270 324
15 0.014085 0.003086 0.005063 324
16 0.000000 0.000000 0.000000 324
17 0.042553 0.006173 0.010782 324
18 0.019231 0.003086 0.005319 324
19 0.694889 0.926491 0.794148 8584
20 0.801925 0.299965 0.436613 8611
avg / total 0.605166 0.518811 0.502995 21663
Classification report for turbine 17, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.896197 0.987519 0.939645 11217
20.0 0.985569 0.863010 0.920227 10446
avg / total 0.939293 0.927480 0.930281 21663
Classification report for turbine 17, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 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 0.883949 0.971810 0.925800 10926
20 0.951722 0.873990 0.911201 10150
avg / total 0.891751 0.899645 0.893874 21663
Classification report for turbine 17, turbine category 12
precision recall f1-score support
19 0.897619 0.987965 0.940627 11217
20 0.985510 0.878997 0.929211 10446
avg / total 0.940000 0.935420 0.935122 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 13
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 0.882391 0.988118 0.932266 11025
20 0.977246 0.881499 0.926906 10329
avg / total 0.915032 0.923187 0.916413 21663
------------------------------------------------------------------------
Classification report for turbine 17, turbine category 0
precision recall f1-score support
10 0.279070 0.035088 0.062338 342
11 0.038462 0.003831 0.006969 261
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 222
17 0.000000 0.000000 0.000000 252
18 0.000000 0.000000 0.000000 252
19 0.906505 0.986077 0.944618 17453
20 0.717877 0.891919 0.795490 2017
avg / total 0.802044 0.878087 0.836175 21663
Classification report for turbine 17, turbine category 1
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 0.975728 0.990179 0.982901 18838
20 0.913590 0.918279 0.915928 2533
avg / total 0.955311 0.968425 0.961821 21663
Classification report for turbine 17, turbine category 2
precision recall f1-score support
19 0.988910 0.990309 0.989609 19090
20 0.927337 0.917606 0.922446 2573
avg / total 0.981597 0.981674 0.981632 21663
Classification report for turbine 17, turbine category 3
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 0.977857 0.989512 0.983650 18878
20 0.898689 0.907705 0.903174 2492
avg / total 0.955524 0.966717 0.961088 21663
Classification report for turbine 17, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.988806 0.990204 0.989505 19090
20.0 0.927108 0.914497 0.920759 2573
avg / total 0.981478 0.981212 0.981339 21663
Classification report for turbine 17, turbine category 5
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.988907 0.989995 0.989451 19090
20.0 0.927337 0.917606 0.922446 2573
avg / total 0.981594 0.981397 0.981492 21663
Classification report for turbine 17, turbine category 6
precision recall f1-score support
10 0.255151 0.536667 0.345865 300
11 0.044444 0.007407 0.012698 270
12 0.000000 0.000000 0.000000 129
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 105
15 0.000000 0.000000 0.000000 108
16 0.019802 0.018519 0.019139 108
17 0.000000 0.000000 0.000000 108
18 0.025641 0.009259 0.013605 108
19 0.942862 0.969495 0.955993 18161
20 0.775907 0.683503 0.726780 2158
avg / total 0.872048 0.888520 0.878960 21663
Classification report for turbine 17, turbine category 7
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 0.975620 0.989914 0.982715 18838
20 0.909771 0.914093 0.911927 2526
avg / total 0.954476 0.967410 0.960897 21663
Classification report for turbine 17, turbine category 8
precision recall f1-score support
10 0.797101 0.037162 0.071014 1480
11 0.117647 0.002121 0.004167 943
12 0.000000 0.000000 0.000000 618
13 0.000000 0.000000 0.000000 505
14 0.090909 0.002315 0.004515 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 0.786204 0.985728 0.874732 15135
20 0.318200 0.867470 0.465608 913
avg / total 0.624089 0.727923 0.635884 21663
Classification report for turbine 17, turbine category 9
precision recall f1-score support
10 0.072215 0.589888 0.128676 178
11 0.000000 0.000000 0.000000 124
12 0.008929 0.018519 0.012048 108
13 0.000000 0.000000 0.000000 108
14 0.000000 0.000000 0.000000 108
15 0.011364 0.009259 0.010204 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 0.945392 0.927438 0.936329 18219
20 0.861086 0.379408 0.526730 2467
avg / total 0.893849 0.828186 0.848624 21663
Classification report for turbine 17, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.988802 0.989838 0.989319 19090
20.0 0.926407 0.914885 0.920610 2573
avg / total 0.981391 0.980935 0.981158 21663
Classification report for turbine 17, turbine category 11
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 0.959969 0.987852 0.973711 18522
20 0.917355 0.913401 0.915374 2552
avg / total 0.928848 0.952223 0.940364 21663
Classification report for turbine 17, turbine category 12
precision recall f1-score support
19 0.988910 0.990309 0.989609 19090
20 0.927337 0.917606 0.922446 2573
avg / total 0.981597 0.981674 0.981632 21663
Classification report for turbine 17, turbine category 13
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 0.973524 0.989839 0.981614 18797
20 0.919843 0.916243 0.918039 2555
avg / total 0.953217 0.966948 0.960023 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10 0.117647 0.096386 0.105960 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 0.965798 0.988064 0.976804 18348
20 0.924037 0.920995 0.922513 2734
avg / total 0.935076 0.953469 0.944161 21663
Classification report for turbine 17, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.992933 0.990198 0.991564 18873
20.0 0.941865 0.952330 0.947068 2790
avg / total 0.986356 0.985321 0.985833 21663
Classification report for turbine 17, turbine category 2
precision recall f1-score support
19 0.992941 0.991310 0.992125 18873
20 0.941865 0.952330 0.947068 2790
avg / total 0.986363 0.986290 0.986322 21663
Classification report for turbine 17, turbine category 3
precision recall f1-score support
10 0.070064 0.080882 0.075085 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 0.981677 0.990674 0.986155 18658
20 0.855522 0.883594 0.869331 2560
avg / total 0.947043 0.958178 0.952564 21663
Classification report for turbine 17, turbine category 4
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 0.949565 0.990749 0.969720 18053
20 0.888610 0.940842 0.913980 2637
avg / total 0.899495 0.940174 0.919380 21663
Classification report for turbine 17, turbine category 5
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 0.871968 0.990772 0.927581 16580
20 0.632176 0.948936 0.758826 1880
avg / total 0.722232 0.840650 0.775788 21663
Classification report for turbine 17, turbine category 6
precision recall f1-score support
10 0.021875 0.107692 0.036364 65
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 252
13 0.042553 0.007937 0.013378 252
14 0.046512 0.007937 0.013559 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 0.083333 0.003968 0.007576 252
19 0.896949 0.982756 0.937894 17049
20 0.843252 0.794315 0.818052 2533
avg / total 0.806578 0.866870 0.834295 21663
Classification report for turbine 17, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.992934 0.990304 0.991617 18873
20.0 0.942014 0.949104 0.945545 2790
avg / total 0.986376 0.984997 0.985684 21663
Classification report for turbine 17, turbine category 8
precision recall f1-score support
10 0.015015 0.018315 0.016502 273
11 0.137255 0.069136 0.091954 405
12 0.079412 0.068182 0.073370 396
13 0.009615 0.002725 0.004246 367
14 0.112245 0.030556 0.048035 360
15 0.000000 0.000000 0.000000 360
16 0.019608 0.002778 0.004866 360
17 0.050000 0.006135 0.010929 326
18 0.000000 0.000000 0.000000 324
19 0.862007 0.948388 0.903137 16256
20 0.752732 0.831843 0.790312 2236
avg / total 0.731862 0.800997 0.763675 21663
Classification report for turbine 17, turbine category 9
precision recall f1-score support
10 0.001449 0.250000 0.002882 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 0.017544 0.027778 0.021505 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 0.043478 0.027778 0.033898 36
19 0.978422 0.970686 0.974539 18592
20 0.915449 0.631162 0.747178 2779
avg / total 0.957257 0.914185 0.932329 21663
Classification report for turbine 17, turbine category 10
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 0.980999 0.991205 0.986076 18647
20 0.918120 0.947813 0.932731 2721
avg / total 0.959742 0.972257 0.965947 21663
Classification report for turbine 17, turbine category 11
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 0.100000 0.013889 0.024390 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.963335 0.988965 0.975982 18305
20 0.933263 0.954496 0.943760 2769
avg / total 0.933632 0.957716 0.945408 21663
Classification report for turbine 17, turbine category 12
precision recall f1-score support
19 0.992941 0.991310 0.992125 18873
20 0.941865 0.952330 0.947068 2790
avg / total 0.986363 0.986290 0.986322 21663
Classification report for turbine 17, turbine category 13
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992932 0.989986 0.991457 18873
20.0 0.942827 0.951613 0.947199 2790
avg / total 0.986479 0.985044 0.985757 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.983662 0.997773 0.990667 19309
20 0.976031 0.845485 0.906080 2071
avg / total 0.982923 0.983022 0.982474 21380
Classification report for turbine 18, turbine category 1
precision recall f1-score support
10 0.157248 0.566372 0.246154 113
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 0.015267 0.018519 0.016736 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 0.940223 0.963172 0.951559 18437
20 0.953737 0.681587 0.795016 1966
avg / total 0.899409 0.896352 0.895067 21380
Classification report for turbine 18, turbine category 2
precision recall f1-score support
19 0.983662 0.997773 0.990667 19309
20 0.976031 0.845485 0.906080 2071
avg / total 0.982923 0.983022 0.982474 21380
Classification report for turbine 18, turbine category 3
precision recall f1-score support
10 0.046729 0.021739 0.029674 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 0.000000 0.000000 0.000000 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.943574 0.992279 0.967314 18521
20 0.943953 0.792864 0.861837 2018
avg / total 0.906997 0.934659 0.919627 21380
Classification report for turbine 18, turbine category 4
precision recall f1-score support
10 0.809859 0.216573 0.341753 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 0.977916 0.997081 0.987406 19186
20 0.630881 0.779434 0.697333 1342
avg / total 0.937277 0.949065 0.938338 21380
Classification report for turbine 18, turbine category 5
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 0.000000 0.000000 0.000000 36
16 0.500000 0.055556 0.100000 36
17 0.555556 0.138889 0.222222 36
18 0.000000 0.000000 0.000000 36
19 0.964048 0.996612 0.980059 18888
20 0.877369 0.834571 0.855435 1886
avg / total 0.930854 0.954397 0.941829 21380
Classification report for turbine 18, turbine category 6
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 0.862492 0.995454 0.924215 16937
20 0.506392 0.747334 0.603711 1219
avg / total 0.712129 0.831197 0.766574 21380
Classification report for turbine 18, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.985930 0.961728 0.973679 19309
20.0 0.983823 0.792854 0.878075 2071
avg / total 0.985726 0.945370 0.964418 21380
Classification report for turbine 18, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 91
11 0.000000 0.000000 0.000000 146
12 0.000000 0.000000 0.000000 144
13 0.000000 0.000000 0.000000 144
14 0.088235 0.022388 0.035714 134
15 0.032967 0.027778 0.030151 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 0.930161 0.991781 0.959983 18250
20 0.961094 0.775380 0.858306 2039
avg / total 0.886365 0.920814 0.901675 21380
Classification report for turbine 18, turbine category 9
precision recall f1-score support
10 0.062570 0.216216 0.097054 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 0.030303 0.009259 0.014184 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 0.934112 0.954481 0.944187 18344
20 0.817333 0.335339 0.475562 1828
avg / total 0.872260 0.850281 0.852019 21380
Classification report for turbine 18, turbine category 10
precision recall f1-score support
19 0.983662 0.997773 0.990667 19309
20 0.976031 0.845485 0.906080 2071
avg / total 0.982923 0.983022 0.982474 21380
Classification report for turbine 18, turbine category 11
precision recall f1-score support
10 1.000000 0.069767 0.130435 43
11 0.000000 0.000000 0.000000 252
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 252
14 0.000000 0.000000 0.000000 252
15 0.142857 0.003968 0.007722 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 0.882877 0.989613 0.933203 17329
20 0.957825 0.866466 0.909858 1992
avg / total 0.808529 0.883022 0.841509 21380
Classification report for turbine 18, turbine category 12
precision recall f1-score support
19 0.983662 0.997773 0.990667 19309
20 0.976031 0.845485 0.906080 2071
avg / total 0.982923 0.983022 0.982474 21380
Classification report for turbine 18, turbine category 13
precision recall f1-score support
19 0.983662 0.997773 0.990667 19309
20 0.976031 0.845485 0.906080 2071
avg / total 0.982923 0.983022 0.982474 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
19 0.990727 0.992459 0.991592 20023
20 0.885779 0.862933 0.874207 1357
avg / total 0.984066 0.984238 0.984142 21380
Classification report for turbine 18, turbine category 1
precision recall f1-score support
10 0.007299 0.010204 0.008511 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 0.959454 0.975543 0.967432 19381
20 0.872526 0.831698 0.851623 1325
avg / total 0.923854 0.935921 0.929795 21380
Classification report for turbine 18, turbine category 2
precision recall f1-score support
19 0.990727 0.992459 0.991592 20023
20 0.885779 0.862933 0.874207 1357
avg / total 0.984066 0.984238 0.984142 21380
Classification report for turbine 18, turbine category 3
precision recall f1-score support
10 0.777778 0.312500 0.445860 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 0.000000 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 0.962423 0.980373 0.971315 19463
20 0.807182 0.841334 0.823904 1229
avg / total 0.926603 0.942470 0.933921 21380
Classification report for turbine 18, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990251 0.979024 0.984605 20023
20.0 0.900085 0.783346 0.837667 1357
avg / total 0.984528 0.966604 0.975279 21380
Classification report for turbine 18, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990365 0.990811 0.990588 20023
20.0 0.886173 0.854827 0.870218 1357
avg / total 0.983752 0.982180 0.982948 21380
Classification report for turbine 18, turbine category 6
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 0.976381 0.988550 0.982428 19738
20 0.885783 0.821481 0.852421 1350
avg / total 0.957325 0.964500 0.960801 21380
Classification report for turbine 18, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.990673 0.981321 0.985975 20023
20.0 0.887538 0.860722 0.873924 1357
avg / total 0.984127 0.973667 0.978863 21380
Classification report for turbine 18, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 144
12 0.043478 0.006944 0.011976 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 0.933259 0.977217 0.954733 18874
20 0.867570 0.861734 0.864642 1338
avg / total 0.878457 0.916651 0.897018 21380
Classification report for turbine 18, turbine category 9
precision recall f1-score support
10 0.027027 0.178218 0.046936 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 0.947227 0.973913 0.960385 19167
20 0.723869 0.372392 0.491786 1246
avg / total 0.891495 0.895650 0.889860 21380
Classification report for turbine 18, turbine category 10
precision recall f1-score support
19 0.990727 0.992459 0.991592 20023
20 0.885779 0.862933 0.874207 1357
avg / total 0.984066 0.984238 0.984142 21380
Classification report for turbine 18, turbine category 11
precision recall f1-score support
10 0.125000 0.153846 0.137931 13
11 0.040000 0.013889 0.020619 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 0.962916 0.981587 0.972162 19443
20 0.861943 0.875371 0.868605 1348
avg / total 0.930233 0.947989 0.939004 21380
Classification report for turbine 18, turbine category 12
precision recall f1-score support
19 0.990727 0.992459 0.991592 20023
20 0.885779 0.862933 0.874207 1357
avg / total 0.984066 0.984238 0.984142 21380
Classification report for turbine 18, turbine category 13
precision recall f1-score support
19 0.990727 0.992459 0.991592 20023
20 0.885779 0.862933 0.874207 1357
avg / total 0.984066 0.984238 0.984142 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 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 0.869499 0.998191 0.929411 16587
20 0.934559 0.710800 0.807465 3074
avg / total 0.808944 0.876614 0.837151 21380
Classification report for turbine 18, turbine category 1
precision recall f1-score support
10 0.011252 0.250000 0.021534 32
11 0.000000 0.000000 0.000000 108
12 0.153846 0.018519 0.033058 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 0.909658 0.986973 0.946740 17272
20 0.961867 0.526152 0.680217 3212
avg / total 0.880174 0.876848 0.867222 21380
Classification report for turbine 18, turbine category 2
precision recall f1-score support
19 0.950215 0.997739 0.973398 18135
20 0.982464 0.707858 0.822855 3245
avg / total 0.955110 0.953742 0.950549 21380
Classification report for turbine 18, turbine category 3
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 0.935667 0.996920 0.965323 17857
20 0.975986 0.704862 0.818558 3229
avg / total 0.928890 0.939102 0.929883 21380
Classification report for turbine 18, turbine category 4
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 0.931578 0.994000 0.961777 17834
20 0.972747 0.542326 0.696397 3225
avg / total 0.923801 0.910945 0.907307 21380
Classification report for turbine 18, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.949955 0.997519 0.973156 18135
20.0 0.982198 0.680123 0.803714 3245
avg / total 0.954849 0.949345 0.947439 21380
Classification report for turbine 18, turbine category 6
precision recall f1-score support
10 0.007619 0.097561 0.014134 41
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 1.000000 0.013889 0.027397 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 0.921767 0.994766 0.956876 17577
20 0.950927 0.547395 0.694821 3186
avg / total 0.902894 0.899626 0.890330 21380
Classification report for turbine 18, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.947092 0.995975 0.970919 18135
20.0 0.977838 0.557473 0.710108 3245
avg / total 0.951759 0.929420 0.931334 21380
Classification report for turbine 18, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.000000 0.000000 0.000000 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 0.890081 0.992571 0.938537 16961
20 0.941125 0.708703 0.808543 3045
avg / total 0.840150 0.888354 0.859707 21380
Classification report for turbine 18, turbine category 9
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 0.940460 0.990681 0.964918 17921
20 0.979464 0.696508 0.814100 3150
avg / total 0.932614 0.933022 0.928751 21380
Classification report for turbine 18, turbine category 10
precision recall f1-score support
19 0.950215 0.997739 0.973398 18135
20 0.982464 0.707858 0.822855 3245
avg / total 0.955110 0.953742 0.950549 21380
Classification report for turbine 18, turbine category 11
precision recall f1-score support
10 0.200000 0.055556 0.086957 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 0.062500 0.009259 0.016129 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.908249 0.992082 0.948316 17302
20 0.972246 0.723404 0.829566 3196
avg / total 0.880831 0.911085 0.891598 21380
Classification report for turbine 18, turbine category 12
precision recall f1-score support
19 0.950215 0.997739 0.973398 18135
20 0.982464 0.707858 0.822855 3245
avg / total 0.955110 0.953742 0.950549 21380
Classification report for turbine 18, turbine category 13
precision recall f1-score support
19 0.950215 0.997739 0.973398 18135
20 0.982464 0.707858 0.822855 3245
avg / total 0.955110 0.953742 0.950549 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986649 0.993667 0.990146 20527
20.0 0.905363 0.672919 0.772024 853
avg / total 0.983406 0.980870 0.981443 21380
Classification report for turbine 18, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986700 0.990257 0.988475 20527
20.0 0.909699 0.637749 0.749828 853
avg / total 0.983628 0.976193 0.978954 21380
Classification report for turbine 18, turbine category 2
precision recall f1-score support
19 0.986362 0.997126 0.991715 20527
20 0.906200 0.668230 0.769231 853
avg / total 0.983164 0.984004 0.982838 21380
Classification report for turbine 18, turbine category 3
precision recall f1-score support
10 0.285714 0.076923 0.121212 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 0.971157 0.994853 0.982862 20205
20 0.872340 0.658838 0.750704 809
avg / total 0.951835 0.965388 0.957694 21380
Classification report for turbine 18, turbine category 4
precision recall f1-score support
10 0.016949 0.045455 0.024691 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 0.967963 0.995929 0.981747 20144
20 0.845614 0.584951 0.691535 824
avg / total 0.944612 0.960945 0.951669 21380
Classification report for turbine 18, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.986455 0.996931 0.991665 20527
20.0 0.904762 0.668230 0.768712 853
avg / total 0.983195 0.983817 0.982770 21380
Classification report for turbine 18, turbine category 6
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 0.972637 0.994022 0.983213 20240
20 0.889251 0.646154 0.748458 845
avg / total 0.955921 0.966558 0.960369 21380
Classification report for turbine 18, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.986590 0.996395 0.991468 20527
20.0 0.915200 0.670574 0.774019 853
avg / total 0.983742 0.983396 0.982793 21380
Classification report for turbine 18, turbine category 8
precision recall f1-score support
10 0.200000 0.005000 0.009756 200
11 0.250000 0.007229 0.014052 415
12 0.125000 0.005181 0.009950 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 0.000000 0.000000 0.000000 252
18 0.111111 0.004425 0.008511 226
19 0.874177 0.992631 0.929646 18184
20 0.624214 0.609831 0.616939 651
avg / total 0.772662 0.863143 0.810096 21380
Classification report for turbine 18, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986225 0.994057 0.990125 20527
20.0 0.891941 0.570926 0.696212 853
avg / total 0.982464 0.977175 0.978399 21380
Classification report for turbine 18, turbine category 10
precision recall f1-score support
19 0.986362 0.997126 0.991715 20527
20 0.906200 0.668230 0.769231 853
avg / total 0.983164 0.984004 0.982838 21380
Classification report for turbine 18, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 18
11 0.076923 0.009259 0.016529 108
12 0.000000 0.000000 0.000000 108
13 0.090909 0.009259 0.016807 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 0.948002 0.991779 0.969396 19706
20 0.813456 0.671717 0.735823 792
avg / total 0.904757 0.939102 0.920921 21380
Classification report for turbine 18, turbine category 12
precision recall f1-score support
19 0.986362 0.997126 0.991715 20527
20 0.906200 0.668230 0.769231 853
avg / total 0.983164 0.984004 0.982838 21380
Classification report for turbine 18, turbine category 13
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 0.972917 0.997185 0.984901 20246
20 0.879173 0.665463 0.757534 831
avg / total 0.955485 0.970159 0.962106 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.963745 0.997399 0.980283 15378
20 0.992673 0.949536 0.970625 5707
avg / total 0.958169 0.970861 0.964179 21380
Classification report for turbine 18, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.981838 0.993808 0.987787 15666
20.0 0.993553 0.943997 0.968141 5714
avg / total 0.984969 0.980496 0.982536 21380
Classification report for turbine 18, turbine category 2
precision recall f1-score support
19 0.981725 0.997830 0.989712 15666
20 0.993769 0.949072 0.970907 5714
avg / total 0.984944 0.984799 0.984686 21380
Classification report for turbine 18, turbine category 3
precision recall f1-score support
10 0.125000 0.000169 0.000338 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 0.000000 0.000000 0.000000 36
17 0.000000 0.000000 0.000000 36
18 0.000000 0.000000 0.000000 36
19 0.930698 0.996563 0.962505 14837
20 0.040719 0.637931 0.076552 348
avg / total 0.681072 0.702011 0.669285 21380
Classification report for turbine 18, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.981579 0.996617 0.989041 15666
20.0 0.993673 0.934547 0.963203 5714
avg / total 0.984812 0.980028 0.982136 21380
Classification report for turbine 18, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.981593 0.997383 0.989425 15666
20.0 0.993764 0.948197 0.970446 5714
avg / total 0.984846 0.984238 0.984353 21380
Classification report for turbine 18, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.982678 0.995851 0.989221 15666
20.0 0.994420 0.904445 0.947301 5714
avg / total 0.985816 0.971422 0.978017 21380
Classification report for turbine 18, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.980919 0.997574 0.989177 15666
20.0 0.993759 0.919671 0.955281 5714
avg / total 0.984351 0.976754 0.980118 21380
Classification report for turbine 18, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 72
16 0.062500 0.013889 0.022727 72
17 0.000000 0.000000 0.000000 72
18 0.000000 0.000000 0.000000 72
19 0.945929 0.987609 0.966320 15092
20 0.984314 0.942403 0.962903 5660
avg / total 0.928516 0.946679 0.937108 21380
Classification report for turbine 18, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.977582 0.996489 0.986945 15666
20.0 0.989028 0.567903 0.721512 5714
avg / total 0.980641 0.881946 0.916005 21380
Classification report for turbine 18, turbine category 10
precision recall f1-score support
19 0.981725 0.997830 0.989712 15666
20 0.993769 0.949072 0.970907 5714
avg / total 0.984944 0.984799 0.984686 21380
Classification report for turbine 18, turbine category 11
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 0.959185 0.994798 0.976667 15379
20 0.992349 0.932001 0.961229 5706
avg / total 0.954801 0.964312 0.959071 21380
Classification report for turbine 18, turbine category 12
precision recall f1-score support
19 0.981725 0.997830 0.989712 15666
20 0.993769 0.949072 0.970907 5714
avg / total 0.984944 0.984799 0.984686 21380
Classification report for turbine 18, turbine category 13
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
19.0 0.981662 0.997766 0.989648 15666
20.0 0.993768 0.948897 0.970815 5714
avg / total 0.984897 0.984705 0.984615 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987499 0.983712 0.985602 21120
20.0 0.737113 0.614613 0.670312 698
avg / total 0.979489 0.971904 0.975515 21818
Classification report for turbine 19, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987502 0.987689 0.987596 21120
20.0 0.757417 0.621777 0.682927 698
avg / total 0.980141 0.975983 0.977849 21818
Classification report for turbine 19, turbine category 2
precision recall f1-score support
19 0.987573 0.993371 0.990464 21120
20 0.756098 0.621777 0.682390 698
avg / total 0.980168 0.981483 0.980608 21818
Classification report for turbine 19, turbine category 3
precision recall f1-score support
19 0.987574 0.993466 0.990511 21120
20 0.758741 0.621777 0.683465 698
avg / total 0.980253 0.981575 0.980688 21818
Classification report for turbine 19, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987586 0.986884 0.987235 21120
20.0 0.579186 0.183381 0.278564 698
avg / total 0.974520 0.961179 0.964563 21818
Classification report for turbine 19, turbine category 5
precision recall f1-score support
19 0.987573 0.993371 0.990464 21120
20 0.756098 0.621777 0.682390 698
avg / total 0.980168 0.981483 0.980608 21818
Classification report for turbine 19, turbine category 6
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 0.961307 0.993481 0.977129 20556
20 0.726481 0.621461 0.669880 671
avg / total 0.928045 0.955129 0.941212 21818
Classification report for turbine 19, turbine category 7
precision recall f1-score support
19 0.987573 0.993371 0.990464 21120
20 0.756098 0.621777 0.682390 698
avg / total 0.980168 0.981483 0.980608 21818
Classification report for turbine 19, turbine category 8
precision recall f1-score support
10 0.500000 0.012821 0.025000 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 0.019737 0.027778 0.023077 108
18 0.000000 0.000000 0.000000 108
19 0.943078 0.967481 0.955124 20173
20 0.675815 0.608964 0.640650 647
avg / total 0.893899 0.912778 0.902313 21818
Classification report for turbine 19, turbine category 9
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.973618 0.973244 0.973431 20818
20 0.356401 0.441113 0.394258 467
avg / total 0.936622 0.938079 0.937254 21818
Classification report for turbine 19, turbine category 10
precision recall f1-score support
19 0.987573 0.993371 0.990464 21120
20 0.756098 0.621777 0.682390 698
avg / total 0.980168 0.981483 0.980608 21818
Classification report for turbine 19, turbine category 11
precision recall f1-score support
10 1.000000 0.019231 0.037736 52
11 0.000000 0.000000 0.000000 288
12 0.166667 0.003472 0.006803 288
13 0.000000 0.000000 0.000000 288
14 0.000000 0.000000 0.000000 288
15 0.031250 0.006944 0.011364 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 0.887151 0.988018 0.934872 18945
20 0.709622 0.666129 0.687188 620
avg / total 0.795492 0.877028 0.831625 21818
Classification report for turbine 19, turbine category 12
precision recall f1-score support
19 0.987573 0.993371 0.990464 21120
20 0.756098 0.621777 0.682390 698
avg / total 0.980168 0.981483 0.980608 21818
Classification report for turbine 19, turbine category 13
precision recall f1-score support
19 0.987573 0.993371 0.990464 21120
20 0.756098 0.621777 0.682390 698
avg / total 0.980168 0.981483 0.980608 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.142857 0.006250 0.011976 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 0.923041 0.974980 0.948300 18305
20 0.740937 0.780624 0.760263 2147
avg / total 0.848378 0.894857 0.870512 21818
Classification report for turbine 19, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.974955 0.985249 0.980075 19321
20.0 0.885752 0.804165 0.842989 2497
avg / total 0.964746 0.964525 0.964386 21818
Classification report for turbine 19, turbine category 2
precision recall f1-score support
19 0.975087 0.986543 0.980782 19321
20 0.885463 0.804966 0.843298 2497
avg / total 0.964830 0.965762 0.965047 21818
Classification report for turbine 19, turbine category 3
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 0.961533 0.987912 0.974544 19027
20 0.699868 0.786528 0.740672 2019
avg / total 0.903296 0.934320 0.918419 21818
Classification report for turbine 19, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.973923 0.962631 0.968244 19321
20.0 0.909337 0.538246 0.676226 2497
avg / total 0.966531 0.914062 0.934824 21818
Classification report for turbine 19, turbine category 5
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 0.960866 0.986347 0.973439 19043
20 0.854185 0.799917 0.826161 2424
avg / total 0.933555 0.949766 0.941416 21818
Classification report for turbine 19, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.947789 0.988933 0.967924 18705
20 0.400790 0.673801 0.502615 1355
avg / total 0.837449 0.889678 0.861035 21818
Classification report for turbine 19, turbine category 7
precision recall f1-score support
19 0.975087 0.986543 0.980782 19321
20 0.885463 0.804966 0.843298 2497
avg / total 0.964830 0.965762 0.965047 21818
Classification report for turbine 19, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 43
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 0.930122 0.982658 0.955669 18395
20 0.800000 0.815081 0.807470 2228
avg / total 0.865891 0.911724 0.888192 21818
Classification report for turbine 19, turbine category 9
precision recall f1-score support
10 0.015441 0.046703 0.023208 364
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 0.062500 0.006944 0.012500 144
19 0.921769 0.982158 0.951006 18271
20 0.655752 0.364845 0.468839 2031
avg / total 0.833628 0.857274 0.840512 21818
Classification report for turbine 19, turbine category 10
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 0.946951 0.986306 0.966228 18768
20 0.847577 0.821871 0.834526 2341
avg / total 0.905516 0.936612 0.920698 21818
Classification report for turbine 19, turbine category 11
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 0.000000 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 0.935590 0.974391 0.954596 18470
20 0.873154 0.814425 0.842767 2468
avg / total 0.890791 0.916995 0.903444 21818
Classification report for turbine 19, turbine category 12
precision recall f1-score support
19 0.975087 0.986543 0.980782 19321
20 0.885463 0.804966 0.843298 2497
avg / total 0.964830 0.965762 0.965047 21818
Classification report for turbine 19, turbine category 13
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
19 0.975087 0.986543 0.980782 19321
20 0.885463 0.804966 0.843298 2497
avg / total 0.964830 0.965762 0.965047 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 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 0.898615 0.991879 0.942947 15638
20 0.893757 0.618650 0.731183 5276
avg / total 0.860208 0.860528 0.852668 21818
Classification report for turbine 19, turbine category 1
precision recall f1-score support
10 0.333333 0.007407 0.014493 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 0.887908 0.992228 0.937174 15312
20 0.948096 0.811692 0.874608 5491
avg / total 0.863812 0.900678 0.877919 21818
Classification report for turbine 19, turbine category 2
precision recall f1-score support
19 0.940099 0.992343 0.965515 16195
20 0.973746 0.817891 0.889039 5623
avg / total 0.948771 0.947383 0.945806 21818
Classification report for turbine 19, turbine category 3
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 0.901490 0.991933 0.944551 15619
20 0.969296 0.613041 0.751064 5613
avg / total 0.894721 0.867816 0.869404 21818
Classification report for turbine 19, turbine category 4
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 0.909325 0.991780 0.948764 15693
20 0.947397 0.632055 0.758247 5528
avg / total 0.894089 0.873499 0.874532 21818
Classification report for turbine 19, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.940085 0.992096 0.965391 16195
20.0 0.973729 0.817357 0.888717 5623
avg / total 0.948756 0.947062 0.945630 21818
Classification report for turbine 19, turbine category 6
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 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 0.908564 0.992069 0.948482 15635
20 0.971502 0.813274 0.885374 5575
avg / total 0.899327 0.918737 0.905925 21818
Classification report for turbine 19, turbine category 7
precision recall f1-score support
19 0.940099 0.992343 0.965515 16195
20 0.973746 0.817891 0.889039 5623
avg / total 0.948771 0.947383 0.945806 21818
Classification report for turbine 19, turbine category 8
precision recall f1-score support
10 0.004808 0.083333 0.009091 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 0.916395 0.969394 0.942150 15683
20 0.937445 0.784372 0.854104 5426
avg / total 0.891854 0.891924 0.889642 21818
Classification report for turbine 19, turbine category 9
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10 0.716102 0.193585 0.304779 873
11 0.000000 0.000000 0.000000 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 0.130435 0.010417 0.019293 288
16 0.000000 0.000000 0.000000 288
17 0.000000 0.000000 0.000000 286
18 0.083333 0.012146 0.021201 247
19 0.798227 0.976417 0.878376 13739
20 0.868231 0.830363 0.848875 4769
avg / total 0.723748 0.804382 0.751359 21818
Classification report for turbine 19, turbine category 10
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 0.083333 0.006944 0.012821 144
19 0.878010 0.987906 0.929722 15132
20 0.930088 0.808840 0.865237 5362
avg / total 0.838078 0.883995 0.857540 21818
Classification report for turbine 19, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 124
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 0.000000 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 0.896823 0.982657 0.937780 15338
20 0.964183 0.839728 0.897662 5578
avg / total 0.877098 0.905537 0.888821 21818
Classification report for turbine 19, turbine category 12
precision recall f1-score support
19 0.940099 0.992343 0.965515 16195
20 0.973746 0.817891 0.889039 5623
avg / total 0.948771 0.947383 0.945806 21818
Classification report for turbine 19, turbine category 13
precision recall f1-score support
19 0.940099 0.992343 0.965515 16195
20 0.973746 0.817891 0.889039 5623
avg / total 0.948771 0.947383 0.945806 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 0
precision recall f1-score support
10 0.049180 0.029412 0.036810 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 0.962214 0.993223 0.977473 19921
20 0.871324 0.777687 0.821847 1219
avg / total 0.927464 0.950454 0.938574 21818
Classification report for turbine 19, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991195 0.993369 0.992281 20511
20.0 0.940104 0.828615 0.880846 1307
avg / total 0.988134 0.983500 0.985605 21818
Classification report for turbine 19, turbine category 2
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 0.986036 0.996814 0.991395 20401
20 0.942211 0.862069 0.900360 1305
avg / total 0.978353 0.983637 0.980861 21818
Classification report for turbine 19, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991043 0.992541 0.991791 20511
20.0 0.942177 0.847743 0.892469 1307
avg / total 0.988115 0.983867 0.985841 21818
Classification report for turbine 19, turbine category 4
precision recall f1-score support
10 0.094444 0.092391 0.093407 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 0.968660 0.995108 0.981706 20034
20 0.535785 0.680556 0.599555 792
avg / total 0.909701 0.939224 0.923987 21818
Classification report for turbine 19, turbine category 5
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
19.0 0.991175 0.996636 0.993898 20511
20.0 0.943001 0.860750 0.900000 1307
avg / total 0.988289 0.988496 0.988273 21818
Classification report for turbine 19, turbine category 6
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 0.985072 0.994209 0.989619 20376
20 0.813043 0.825243 0.819098 1133
avg / total 0.962187 0.971354 0.966748 21818
Classification report for turbine 19, turbine category 7
precision recall f1-score support
19 0.991224 0.996685 0.993947 20511
20 0.943049 0.861515 0.900440 1307
avg / total 0.988338 0.988587 0.988345 21818
Classification report for turbine 19, turbine category 8
precision recall f1-score support
10 0.375000 0.007246 0.014218 414
11 0.000000 0.000000 0.000000 252
12 0.125000 0.019841 0.034247 252
13 0.116279 0.019841 0.033898 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 0.900732 0.989805 0.943170 18637
20 0.655923 0.820261 0.728945 918
avg / total 0.806909 0.880603 0.837386 21818
Classification report for turbine 19, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991355 0.984009 0.987668 20511
20.0 0.957256 0.736802 0.832685 1307
avg / total 0.989313 0.969200 0.978384 21818
Classification report for turbine 19, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990928 0.990542 0.990735 20511
20.0 0.945899 0.829380 0.883816 1307
avg / total 0.988231 0.980887 0.984330 21818
Classification report for turbine 19, turbine category 11
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10 0.142857 0.033333 0.054054 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 0.040000 0.005556 0.009756 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 0.924760 0.992261 0.957322 19125
20 0.875937 0.860180 0.867987 1223
avg / total 0.860243 0.918095 0.887969 21818
Classification report for turbine 19, turbine category 12
precision recall f1-score support
19 0.991224 0.996685 0.993947 20511
20 0.943049 0.861515 0.900440 1307
avg / total 0.988338 0.988587 0.988345 21818
Classification report for turbine 19, turbine category 13
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 0.979005 0.996643 0.987746 20259
20 0.909548 0.864650 0.886531 1256
avg / total 0.961411 0.975204 0.968201 21818
------------------------------------------------------------------------
Classification report for turbine 19, turbine category 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 0.980528 0.996757 0.988576 20966
20 0.889362 0.750449 0.814021 557
avg / total 0.964943 0.976991 0.970753 21818
Classification report for turbine 19, turbine category 1
precision recall f1-score support
10 0.333333 0.066667 0.111111 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 0.967787 0.996422 0.981896 20684
20 0.862423 0.773481 0.815534 543
avg / total 0.939179 0.963929 0.951235 21818
Classification report for turbine 19, turbine category 2
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 17
11.0 0.000000 0.000000 0.000000 36
12.0 0.000000 0.000000 0.000000 36
13.0 0.000000 0.000000 0.000000 36
14.0 0.000000 0.000000 0.000000 36
15.0 0.000000 0.000000 0.000000 32
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.986023 0.997391 0.991674 21078
20.0 0.867617 0.778793 0.820809 547
avg / total 0.974332 0.983087 0.978618 21818
Classification report for turbine 19, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.993846 0.995389 0.994617 21255
20.0 0.903158 0.761989 0.826590 563
avg / total 0.991506 0.989367 0.990281 21818
Classification report for turbine 19, turbine category 4
precision recall f1-score support
10 0.333333 0.086957 0.137931 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 0.980697 0.993229 0.986923 20972
20 0.805497 0.744141 0.773604 512
avg / total 0.962275 0.972362 0.967100 21818
Classification report for turbine 19, turbine category 5
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.994139 0.997506 0.995820 21255
20.0 0.899384 0.777975 0.834286 563
avg / total 0.991694 0.991842 0.991652 21818
Classification report for turbine 19, turbine category 6
precision recall f1-score support
10 0.959596 0.195072 0.324232 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 0.851409 0.997626 0.918736 18115
20 0.470954 0.716088 0.568210 317
avg / total 0.735167 0.843065 0.778299 21818
Classification report for turbine 19, turbine category 7
precision recall f1-score support
19 0.994140 0.997695 0.995914 21255
20 0.899384 0.777975 0.834286 563
avg / total 0.991695 0.992025 0.991743 21818
Classification report for turbine 19, turbine category 8
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 0.981374 0.984884 0.983126 20971
20 0.878788 0.731532 0.798427 555
avg / total 0.965630 0.965258 0.965270 21818
Classification report for turbine 19, turbine category 9
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 0.981188 0.989702 0.985427 20975
20 0.860674 0.696364 0.769849 550
avg / total 0.964974 0.969016 0.966759 21818
Classification report for turbine 19, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.994275 0.996895 0.995583 21255
20.0 0.898551 0.770870 0.829828 563
avg / total 0.991805 0.991062 0.991306 21818
Classification report for turbine 19, turbine category 11
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10 0.000000 0.000000 0.000000 24
11 0.250000 0.006944 0.013514 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 0.105263 0.013889 0.024540 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 0.941420 0.993040 0.966542 20116
20 0.824847 0.769962 0.796460 526
avg / total 0.890212 0.934274 0.910595 21818
Classification report for turbine 19, turbine category 12
precision recall f1-score support
19 0.994140 0.997695 0.995914 21255
20 0.899384 0.777975 0.834286 563
avg / total 0.991695 0.992025 0.991743 21818
Classification report for turbine 19, turbine category 13
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 0.980728 0.997567 0.989076 20966
20 0.894628 0.775986 0.831094 558
avg / total 0.965310 0.978458 0.971708 21818
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.974627 0.991541 0.983011 20687
20.0 0.902397 0.493908 0.638401 1067
avg / total 0.971084 0.967132 0.966108 21754
Classification report for turbine 20, turbine category 1
precision recall f1-score support
10 0.496403 0.543307 0.518797 127
11 0.000000 0.000000 0.000000 144
12 0.000000 0.000000 0.000000 144
13 0.076923 0.006944 0.012739 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 0.923077 0.989672 0.955215 19558
20 0.795720 0.446020 0.571628 917
avg / total 0.866844 0.911786 0.885998 21754
Classification report for turbine 20, turbine category 2
precision recall f1-score support
19 0.974275 0.997776 0.985886 20687
20 0.919014 0.489222 0.638532 1067
avg / total 0.971565 0.972833 0.968849 21754
Classification report for turbine 20, turbine category 3
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 0.960587 0.997745 0.978813 20397
20 0.896127 0.482922 0.627620 1054
avg / total 0.944085 0.958904 0.948164 21754
Classification report for turbine 20, turbine category 4
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 0.961477 0.997600 0.979205 20415
20 0.890845 0.487007 0.629745 1039
avg / total 0.944844 0.959456 0.949011 21754
Classification report for turbine 20, turbine category 5
precision recall f1-score support
19 0.974275 0.997776 0.985886 20687
20 0.919014 0.489222 0.638532 1067
avg / total 0.971565 0.972833 0.968849 21754
Classification report for turbine 20, turbine category 6
precision recall f1-score support
10 0.176471 0.030612 0.052174 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 0.951031 0.992860 0.971495 20167
20 0.852632 0.501031 0.631169 970
avg / total 0.920464 0.942907 0.929001 21754
Classification report for turbine 20, turbine category 7
precision recall f1-score support
19 0.974275 0.997776 0.985886 20687
20 0.919014 0.489222 0.638532 1067
avg / total 0.971565 0.972833 0.968849 21754
Classification report for turbine 20, turbine category 8
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 0.014706 0.027778 0.019231 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 0.055556 0.027778 0.037037 36
19 0.959897 0.985813 0.972682 20371
20 0.895683 0.468927 0.615575 1062
avg / total 0.942714 0.946125 0.940989 21754
Classification report for turbine 20, turbine category 9
precision recall f1-score support
10 0.098039 0.026316 0.041494 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 0.934105 0.996975 0.964517 19835
20 0.753876 0.449711 0.563360 865
avg / total 0.882537 0.927140 0.902196 21754
Classification report for turbine 20, turbine category 10
precision recall f1-score support
19 0.974275 0.997776 0.985886 20687
20 0.919014 0.489222 0.638532 1067
avg / total 0.971565 0.972833 0.968849 21754
Classification report for turbine 20, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 52
11 0.045455 0.003472 0.006452 288
12 0.000000 0.000000 0.000000 288
13 0.000000 0.000000 0.000000 288
14 0.083333 0.003472 0.006667 288
15 0.055556 0.003472 0.006536 288
16 0.000000 0.000000 0.000000 288
17 0.071429 0.003472 0.006623 288
18 0.017544 0.006944 0.009950 288
19 0.876696 0.991035 0.930366 18517
20 0.782972 0.532350 0.633784 881
avg / total 0.781571 0.865404 0.818074 21754
Classification report for turbine 20, turbine category 12
precision recall f1-score support
19 0.974275 0.997776 0.985886 20687
20 0.919014 0.489222 0.638532 1067
avg / total 0.971565 0.972833 0.968849 21754
Classification report for turbine 20, turbine category 13
precision recall f1-score support
19 0.974275 0.997776 0.985886 20687
20 0.919014 0.489222 0.638532 1067
avg / total 0.971565 0.972833 0.968849 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
10 0.006944 0.090909 0.012903 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 0.938365 0.985699 0.961450 16712
20 0.946317 0.799072 0.866484 4743
avg / total 0.927205 0.931507 0.927536 21754
Classification report for turbine 20, turbine category 1
precision recall f1-score support
10 0.119403 0.115942 0.117647 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 0.000000 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 0.938876 0.979543 0.958779 16669
20 0.946801 0.835660 0.887765 4728
avg / total 0.925570 0.932564 0.927984 21754
Classification report for turbine 20, turbine category 2
precision recall f1-score support
19 0.953665 0.988057 0.970557 16998
20 0.951002 0.828427 0.885493 4756
avg / total 0.953083 0.953158 0.951960 21754
Classification report for turbine 20, turbine category 3
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.953590 0.987587 0.970291 16998
20.0 0.950760 0.828217 0.885268 4756
avg / total 0.952971 0.952744 0.951703 21754
Classification report for turbine 20, turbine category 4
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 0.937425 0.987133 0.961637 16709
20 0.939672 0.826927 0.879702 4709
avg / total 0.923433 0.937207 0.929048 21754
Classification report for turbine 20, turbine category 5
precision recall f1-score support
19 0.953665 0.988057 0.970557 16998
20 0.951002 0.828427 0.885493 4756
avg / total 0.953083 0.953158 0.951960 21754
Classification report for turbine 20, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 602
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 0.945069 0.981305 0.962846 16796
20 0.788512 0.806539 0.797424 4068
avg / total 0.877128 0.908477 0.892520 21754
Classification report for turbine 20, turbine category 7
precision recall f1-score support
19 0.953665 0.988057 0.970557 16998
20 0.951002 0.828427 0.885493 4756
avg / total 0.953083 0.953158 0.951960 21754
Classification report for turbine 20, turbine category 8
precision recall f1-score support
10 0.027027 0.009174 0.013699 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 0.953614 0.984508 0.968815 16977
20 0.843047 0.821588 0.832180 4243
avg / total 0.908776 0.928611 0.918452 21754
Classification report for turbine 20, turbine category 9
precision recall f1-score support
10 0.956729 0.554413 0.702016 3988
11 0.000000 0.000000 0.000000 532
12 0.000000 0.000000 0.000000 401
13 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 216
18 0.000000 0.000000 0.000000 216
19 0.824333 0.994438 0.901431 14383
20 0.290166 0.693830 0.409200 859
avg / total 0.731868 0.786522 0.740849 21754
Classification report for turbine 20, turbine category 10
precision recall f1-score support
19 0.953665 0.988057 0.970557 16998
20 0.951002 0.828427 0.885493 4756
avg / total 0.953083 0.953158 0.951960 21754
Classification report for turbine 20, turbine category 11
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10 0.250000 0.083333 0.125000 12
11 0.000000 0.000000 0.000000 72
12 0.047619 0.013889 0.021505 72
13 0.000000 0.000000 0.000000 72
14 0.006061 0.013889 0.008439 72
15 0.000000 0.000000 0.000000 72
16 0.044776 0.041667 0.043165 72
17 0.000000 0.000000 0.000000 72
18 0.037037 0.013889 0.020202 72
19 0.932939 0.958118 0.945361 16451
20 0.945832 0.859173 0.900422 4715
avg / total 0.911103 0.911097 0.910446 21754
Classification report for turbine 20, turbine category 12
precision recall f1-score support
19 0.953665 0.988057 0.970557 16998
20 0.951002 0.828427 0.885493 4756
avg / total 0.953083 0.953158 0.951960 21754
Classification report for turbine 20, turbine category 13
precision recall f1-score support
19 0.953665 0.988057 0.970557 16998
20 0.951002 0.828427 0.885493 4756
avg / total 0.953083 0.953158 0.951960 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 0
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.940886 0.991406 0.965486 15942
20 0.939106 0.927843 0.933441 5003
avg / total 0.905486 0.939919 0.922211 21754
Classification report for turbine 20, turbine category 1
precision recall f1-score support
10 0.066667 0.054545 0.060000 55
11 0.000000 0.000000 0.000000 271
12 0.000000 0.000000 0.000000 252
13 0.000000 0.000000 0.000000 250
14 0.027778 0.005814 0.009615 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 0.908652 0.978127 0.942111 15407
20 0.893247 0.925623 0.909147 4773
avg / total 0.839915 0.896019 0.866940 21754
Classification report for turbine 20, turbine category 2
precision recall f1-score support
19 0.976983 0.991849 0.984360 16562
20 0.972672 0.925462 0.948480 5192
avg / total 0.975954 0.976004 0.975797 21754
Classification report for turbine 20, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.977031 0.991366 0.984146 16562
20.0 0.972667 0.925270 0.948376 5192
avg / total 0.975989 0.975591 0.975609 21754
Classification report for turbine 20, turbine category 4
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 0.976056 0.990331 0.983141 16547
20 0.917257 0.922482 0.919862 4915
avg / total 0.949670 0.961708 0.955648 21754
Classification report for turbine 20, turbine category 5
precision recall f1-score support
19 0.976983 0.991849 0.984360 16562
20 0.972672 0.925462 0.948480 5192
avg / total 0.975954 0.976004 0.975797 21754
Classification report for turbine 20, turbine category 6
precision recall f1-score support
10 0.005291 0.083333 0.009950 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 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 0.948548 0.988295 0.968013 16061
20 0.934124 0.894161 0.913706 4932
avg / total 0.912099 0.932426 0.921843 21754
Classification report for turbine 20, turbine category 7
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 0.921435 0.991615 0.955238 15624
20 0.865182 0.923908 0.893581 4626
avg / total 0.845767 0.908660 0.876084 21754
Classification report for turbine 20, turbine category 8
precision recall f1-score support
10 0.346154 0.024172 0.045188 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 0.005882 0.011111 0.007692 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 0.894000 0.987560 0.938454 15193
20 0.722990 0.749425 0.735970 3911
avg / total 0.772174 0.825779 0.790115 21754
Classification report for turbine 20, turbine category 9
precision recall f1-score support
10 0.113872 0.845878 0.200723 558
11 0.000000 0.000000 0.000000 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 0.051282 0.018519 0.027211 108
16 0.038462 0.009259 0.014925 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.945729 0.947332 0.946530 15930
20 0.797438 0.228283 0.354954 4363
avg / total 0.855839 0.761331 0.769672 21754
Classification report for turbine 20, turbine category 10
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
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 0.960509 0.991771 0.975890 16284
20 0.970850 0.926584 0.948201 5176
avg / total 0.949989 0.962857 0.956113 21754
Classification report for turbine 20, turbine category 11
precision recall f1-score support
10 0.076923 0.076923 0.076923 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 0.945709 0.983511 0.964240 16011
20 0.965963 0.914047 0.939288 5154
avg / total 0.924948 0.940471 0.932267 21754
Classification report for turbine 20, turbine category 12
precision recall f1-score support
19 0.976983 0.991849 0.984360 16562
20 0.972672 0.925462 0.948480 5192
avg / total 0.975954 0.976004 0.975797 21754
Classification report for turbine 20, turbine category 13
precision recall f1-score support
19 0.976983 0.991849 0.984360 16562
20 0.972672 0.925462 0.948480 5192
avg / total 0.975954 0.976004 0.975797 21754
------------------------------------------------------------------------
Classification report for turbine 20, turbine category 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 0.950735 0.996254 0.972962 19487
20 0.959511 0.637240 0.765854 1971
avg / total 0.938593 0.950170 0.940958 21754
Classification report for turbine 20, turbine category 1
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 0.959620 0.991907 0.975496 19646
20 0.876524 0.634308 0.736000 1813
avg / total 0.939681 0.948653 0.942308 21754
Classification report for turbine 20, turbine category 2
precision recall f1-score support
19 0.963137 0.997371 0.979955 19778
20 0.959152 0.617915 0.751616 1976
avg / total 0.962775 0.962903 0.959214 21754
Classification report for turbine 20, turbine category 3
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 0.950632 0.997285 0.973400 19521
20 0.933229 0.613953 0.740648 1935
avg / total 0.936062 0.949527 0.939363 21754
Classification report for turbine 20, turbine category 4
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.965912 0.997169 0.981292 19778
20.0 0.961625 0.646761 0.773374 1976
avg / total 0.965523 0.965340 0.962406 21754
Classification report for turbine 20, turbine category 5
precision recall f1-score support
19 0.963137 0.997371 0.979955 19778
20 0.959152 0.617915 0.751616 1976
avg / total 0.962775 0.962903 0.959214 21754
Classification report for turbine 20, turbine category 6
precision recall f1-score support
10 0.076923 0.045455 0.057143 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 0.931389 0.995606 0.962427 19116
20 0.911164 0.610321 0.731000 1899
avg / total 0.898061 0.928197 0.909588 21754
Classification report for turbine 20, turbine category 7
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 0.949257 0.996817 0.972456 19480
20 0.862903 0.577754 0.692109 1852
avg / total 0.923491 0.941804 0.929724 21754
Classification report for turbine 20, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.963618 0.992315 0.977756 19778
20.0 0.959317 0.596660 0.735725 1976
avg / total 0.963227 0.956376 0.955771 21754
Classification report for turbine 20, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.967737 0.993376 0.980389 19778
20.0 0.958454 0.502024 0.658917 1976
avg / total 0.966894 0.948745 0.951189 21754
Classification report for turbine 20, turbine category 10
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.963318 0.995854 0.979316 19778
20.0 0.958496 0.619433 0.752536 1976
avg / total 0.962880 0.961662 0.958717 21754
Classification report for turbine 20, turbine category 11
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 0.000000 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 0.927697 0.992214 0.958871 19009
20 0.901578 0.643432 0.750939 1865
avg / total 0.887930 0.922175 0.902256 21754
Classification report for turbine 20, turbine category 12
precision recall f1-score support
19 0.963137 0.997371 0.979955 19778
20 0.959152 0.617915 0.751616 1976
avg / total 0.962775 0.962903 0.959214 21754
Classification report for turbine 20, turbine category 13
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 0.949758 0.997436 0.973014 19502
20 0.937942 0.613251 0.741615 1947
avg / total 0.935385 0.949067 0.938661 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.949851 0.992775 0.970839 15778
20 0.934936 0.862372 0.897189 5682
avg / total 0.933119 0.945297 0.938481 21754
Classification report for turbine 20, turbine category 1
precision recall f1-score support
10 0.368421 0.131250 0.193548 160
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 0.250000 0.009259 0.017857 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 0.914272 0.991762 0.951442 15173
20 0.910560 0.851899 0.880253 5557
avg / total 0.874238 0.910361 0.889983 21754
Classification report for turbine 20, turbine category 2
precision recall f1-score support
19 0.944478 0.994175 0.968689 15793
20 0.982066 0.845160 0.908484 5961
avg / total 0.954778 0.953342 0.952192 21754
Classification report for turbine 20, turbine category 3
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 0.926238 0.993931 0.958891 15489
20 0.863158 0.828748 0.845603 5343
avg / total 0.871488 0.911235 0.890426 21754
Classification report for turbine 20, turbine category 4
precision recall f1-score support
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.944645 0.994111 0.968747 15793
20.0 0.982073 0.845496 0.908681 5961
avg / total 0.954901 0.953388 0.952288 21754
Classification report for turbine 20, turbine category 5
precision recall f1-score support
19 0.944478 0.994175 0.968689 15793
20 0.982066 0.845160 0.908484 5961
avg / total 0.954778 0.953342 0.952192 21754
Classification report for turbine 20, turbine category 6
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 0.908067 0.993148 0.948703 15177
20 0.943102 0.848974 0.893566 5701
avg / total 0.880682 0.915372 0.896051 21754
Classification report for turbine 20, turbine category 7
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 0.885547 0.992875 0.936144 14736
20 0.938881 0.860187 0.897813 5679
avg / total 0.844963 0.897122 0.868516 21754
Classification report for turbine 20, turbine category 8
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: 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)
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.960414 0.992402 0.976146 15793
20.0 0.981118 0.889113 0.932852 5961
avg / total 0.966087 0.964099 0.964283 21754
Classification report for turbine 20, turbine category 9
precision recall f1-score support
10 0.053633 0.352273 0.093093 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 0.930571 0.992279 0.960435 15412
20 0.943244 0.784431 0.856538 5678
avg / total 0.905692 0.909166 0.904378 21754
Classification report for turbine 20, turbine category 10
precision recall f1-score support
15.0 0.000000 0.000000 0.000000 0
19.0 0.947200 0.993921 0.969998 15793
20.0 0.981664 0.853213 0.912942 5961
avg / total 0.956644 0.955365 0.954364 21754
Classification report for turbine 20, turbine category 11
precision recall f1-score support
10 0.100000 0.052632 0.068966 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 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 108
19 0.889895 0.991968 0.938163 15065
20 0.953275 0.804685 0.872700 5806
avg / total 0.870777 0.901765 0.882671 21754
Classification report for turbine 20, turbine category 12
precision recall f1-score support
19 0.944478 0.994175 0.968689 15793
20 0.982066 0.845160 0.908484 5961
avg / total 0.954778 0.953342 0.952192 21754
Classification report for turbine 20, turbine category 13
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.946866 0.992972 0.969371 15793
20.0 0.982208 0.852038 0.912504 5961
avg / total 0.956551 0.954353 0.953789 21754
------------------------------------------------------------------------
Classification report for turbine 21, turbine category 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 0.973936 0.988951 0.981386 15114
20 0.768919 0.765814 0.767363 743
avg / total 0.950543 0.964506 0.957470 16087
Classification report for turbine 21, turbine category 1
precision recall f1-score support
19 0.988467 0.989111 0.988789 15337
20 0.774324 0.764000 0.769128 750
avg / total 0.978483 0.978616 0.978548 16087
Classification report for turbine 21, turbine category 2
precision recall f1-score support
19 0.988467 0.989111 0.988789 15337
20 0.774324 0.764000 0.769128 750
avg / total 0.978483 0.978616 0.978548 16087
Classification report for turbine 21, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.988189 0.981939 0.985054 15337
20.0 0.720126 0.610667 0.660895 750
avg / total 0.975691 0.964630 0.969941 16087
Classification report for turbine 21, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.988439 0.986699 0.987568 15337
20.0 0.767635 0.740000 0.753564 750
avg / total 0.978145 0.975197 0.976658 16087
Classification report for turbine 21, turbine category 5
precision recall f1-score support
19 0.988467 0.989111 0.988789 15337
20 0.774324 0.764000 0.769128 750
avg / total 0.978483 0.978616 0.978548 16087
Classification report for turbine 21, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989103 0.982461 0.985771 15337
20.0 0.769022 0.754667 0.761777 750
avg / total 0.978843 0.971841 0.975328 16087
Classification report for turbine 21, turbine category 7
precision recall f1-score support
19 0.988467 0.989111 0.988789 15337
20 0.774324 0.764000 0.769128 750
avg / total 0.978483 0.978616 0.978548 16087
Classification report for turbine 21, turbine category 8
precision recall f1-score support
10 0.415808 0.707602 0.523810 171
11 0.000000 0.000000 0.000000 88
12 0.005155 0.012821 0.007353 78
13 0.006410 0.012195 0.008403 82
14 0.000000 0.000000 0.000000 74
15 0.029851 0.025316 0.027397 79
16 0.000000 0.000000 0.000000 76
17 0.000000 0.000000 0.000000 78
18 0.000000 0.000000 0.000000 82
19 0.953509 0.932513 0.942894 14714
20 0.523422 0.454867 0.486742 565
avg / total 0.895136 0.876671 0.885296 16087
Classification report for turbine 21, turbine category 9
precision recall f1-score support
19 0.988467 0.989111 0.988789 15337
20 0.774324 0.764000 0.769128 750
avg / total 0.978483 0.978616 0.978548 16087
Classification report for turbine 21, turbine category 10
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 0.959210 0.988916 0.973837 14886
20 0.720270 0.789630 0.753357 675
avg / total 0.917821 0.948219 0.932744 16087
Classification report for turbine 21, turbine category 11
precision recall f1-score support
10 0.375000 0.176471 0.240000 17
11 0.000000 0.000000 0.000000 101
12 0.000000 0.000000 0.000000 103
13 0.010870 0.009709 0.010256 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 0.039474 0.027523 0.032432 109
18 0.000000 0.000000 0.000000 112
19 0.937652 0.955373 0.946430 14498
20 0.743375 0.743375 0.743375 717
avg / total 0.878901 0.894573 0.886617 16087
Classification report for turbine 21, turbine category 12
precision recall f1-score support
19 0.988467 0.989111 0.988789 15337
20 0.774324 0.764000 0.769128 750
avg / total 0.978483 0.978616 0.978548 16087
Classification report for turbine 21, turbine category 13
precision recall f1-score support
19 0.988467 0.989111 0.988789 15337
20 0.774324 0.764000 0.769128 750
avg / total 0.978483 0.978616 0.978548 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.990717 0.992139 0.991428 14630
20.0 0.920557 0.906658 0.913555 1457
avg / total 0.984363 0.984397 0.984375 16087
Classification report for turbine 21, turbine category 1
precision recall f1-score support
19 0.990651 0.992276 0.991463 14630
20 0.921144 0.905971 0.913495 1457
avg / total 0.984356 0.984460 0.984401 16087
Classification report for turbine 21, turbine category 2
precision recall f1-score support
19 0.990651 0.992276 0.991463 14630
20 0.921144 0.905971 0.913495 1457
avg / total 0.984356 0.984460 0.984401 16087
Classification report for turbine 21, turbine category 3
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 0.990031 0.991792 0.990911 14620
20 0.708231 0.719371 0.713758 1208
avg / total 0.952931 0.955368 0.954145 16087
Classification report for turbine 21, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.990713 0.991661 0.991187 14630
20.0 0.918637 0.906658 0.912608 1457
avg / total 0.984185 0.983962 0.984070 16087
Classification report for turbine 21, turbine category 5
precision recall f1-score support
19 0.990651 0.992276 0.991463 14630
20 0.921144 0.905971 0.913495 1457
avg / total 0.984356 0.984460 0.984401 16087
Classification report for turbine 21, turbine category 6
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 0.333333 0.011765 0.022727 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 0.965920 0.991378 0.978483 14266
20 0.667132 0.884366 0.760541 1081
avg / total 0.903171 0.938646 0.918948 16087
Classification report for turbine 21, turbine category 7
precision recall f1-score support
19 0.990651 0.992276 0.991463 14630
20 0.921144 0.905971 0.913495 1457
avg / total 0.984356 0.984460 0.984401 16087
Classification report for turbine 21, turbine category 8
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 0.976356 0.965517 0.970906 14413
20 0.871983 0.573103 0.691635 1450
avg / total 0.953353 0.916703 0.932215 16087
Classification report for turbine 21, turbine category 9
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 0.927733 0.992046 0.958812 13704
20 0.550593 0.872788 0.675225 904
avg / total 0.821246 0.894138 0.854725 16087
Classification report for turbine 21, turbine category 10
precision recall f1-score support
10 0.088235 0.324324 0.138728 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 0.961129 0.986466 0.973633 14187
20 0.905856 0.871612 0.888404 1402
avg / total 0.926762 0.946665 0.936384 16087
Classification report for turbine 21, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.166667 0.018182 0.032787 55
16 0.000000 0.000000 0.000000 47
17 0.000000 0.000000 0.000000 51
18 0.000000 0.000000 0.000000 67
19 0.963156 0.984819 0.973867 14228
20 0.905099 0.894958 0.900000 1428
avg / total 0.932768 0.950519 0.941331 16087
Classification report for turbine 21, turbine category 12
precision recall f1-score support
19 0.990651 0.992276 0.991463 14630
20 0.921144 0.905971 0.913495 1457
avg / total 0.984356 0.984460 0.984401 16087
Classification report for turbine 21, turbine category 13
precision recall f1-score support
19 0.990651 0.992276 0.991463 14630
20 0.921144 0.905971 0.913495 1457
avg / total 0.984356 0.984460 0.984401 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
19.0 0.954360 0.997057 0.975241 13590
20.0 0.979343 0.740489 0.843330 2497
avg / total 0.958238 0.957233 0.954766 16087
Classification report for turbine 21, turbine category 1
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 0.937808 0.997005 0.966501 13355
20 0.937004 0.734135 0.823256 2411
avg / total 0.918975 0.937714 0.925747 16087
Classification report for turbine 21, turbine category 2
precision recall f1-score support
19 0.954360 0.997057 0.975241 13590
20 0.978825 0.740489 0.843137 2497
avg / total 0.958157 0.957233 0.954736 16087
Classification report for turbine 21, turbine category 3
precision recall f1-score support
10 0.400000 0.363636 0.380952 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 0.924350 0.996658 0.959143 13167
20 0.969116 0.734760 0.835821 2477
avg / total 0.906062 0.929135 0.914003 16087
Classification report for turbine 21, turbine category 4
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 0.944773 0.996878 0.970127 13454
20 0.937004 0.734135 0.823256 2411
avg / total 0.930571 0.943743 0.934727 16087
Classification report for turbine 21, turbine category 5
precision recall f1-score support
19 0.954360 0.997057 0.975241 13590
20 0.978825 0.740489 0.843137 2497
avg / total 0.958157 0.957233 0.954736 16087
Classification report for turbine 21, turbine category 6
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 0.938632 0.996186 0.966553 13373
20 0.968617 0.735460 0.836088 2476
avg / total 0.929360 0.941319 0.932173 16087
Classification report for turbine 21, turbine category 7
precision recall f1-score support
19 0.954360 0.997057 0.975241 13590
20 0.978825 0.740489 0.843137 2497
avg / total 0.958157 0.957233 0.954736 16087
Classification report for turbine 21, turbine category 8
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 0.000000 0.000000 0.000000 57
19 0.929318 0.969931 0.949190 13203
20 0.945902 0.708845 0.810393 2442
avg / total 0.906302 0.903649 0.902041 16087
Classification report for turbine 21, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.953411 0.995364 0.973936 13590
20.0 0.976705 0.705246 0.819070 2497
avg / total 0.957027 0.950333 0.949898 16087
Classification report for turbine 21, turbine category 10
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 0.333333 0.037037 0.066667 27
17 0.000000 0.000000 0.000000 34
18 0.000000 0.000000 0.000000 26
19 0.939208 0.995361 0.966469 13364
20 0.970495 0.742742 0.841480 2480
avg / total 0.930404 0.941443 0.932714 16087
Classification report for turbine 21, turbine category 11
precision recall f1-score support
10 0.117647 0.105263 0.111111 19
11 0.000000 0.000000 0.000000 101
12 0.000000 0.000000 0.000000 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 0.111111 0.009434 0.017391 106
18 0.000000 0.000000 0.000000 87
19 0.897516 0.992077 0.942430 12747
20 0.970975 0.718104 0.825611 2469
avg / total 0.861067 0.896500 0.873721 16087
Classification report for turbine 21, turbine category 12
precision recall f1-score support
19 0.954360 0.997057 0.975241 13590
20 0.978825 0.740489 0.843137 2497
avg / total 0.958157 0.957233 0.954736 16087
Classification report for turbine 21, turbine category 13
precision recall f1-score support
19 0.954360 0.997057 0.975241 13590
20 0.978825 0.740489 0.843137 2497
avg / total 0.958157 0.957233 0.954736 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
19.0 0.993781 0.997241 0.995508 15223
20.0 0.949383 0.890046 0.918757 864
avg / total 0.991397 0.991484 0.991386 16087
Classification report for turbine 21, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.993777 0.996584 0.995179 15223
20.0 0.948020 0.886574 0.916268 864
avg / total 0.991319 0.990676 0.990940 16087
Classification report for turbine 21, turbine category 2
precision recall f1-score support
19 0.993782 0.997307 0.995541 15223
20 0.949383 0.890046 0.918757 864
avg / total 0.991397 0.991546 0.991417 16087
Classification report for turbine 21, turbine category 3
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 0.033333 0.009259 0.014493 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 0.938287 0.995200 0.965906 14376
20 0.861429 0.756587 0.805611 797
avg / total 0.881393 0.926897 0.903183 16087
Classification report for turbine 21, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.993780 0.997044 0.995409 15223
20.0 0.947631 0.879630 0.912365 864
avg / total 0.991301 0.990738 0.990949 16087
Classification report for turbine 21, turbine category 5
precision recall f1-score support
19 0.993782 0.997307 0.995541 15223
20 0.949383 0.890046 0.918757 864
avg / total 0.991397 0.991546 0.991417 16087
Classification report for turbine 21, turbine category 6
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.974913 0.996652 0.985663 14934
20 0.819868 0.818783 0.819325 756
avg / total 0.943568 0.963697 0.953521 16087
Classification report for turbine 21, turbine category 7
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 0.977221 0.997261 0.987139 14970
20 0.790123 0.877915 0.831709 729
avg / total 0.945173 0.967800 0.956287 16087
Classification report for turbine 21, turbine category 8
precision recall f1-score support
10.0 0.283333 0.097701 0.145299 174
11.0 0.769231 0.254237 0.382166 118
12.0 0.000000 0.000000 0.000000 52
13.0 0.000000 0.000000 0.000000 51
14.0 0.000000 0.000000 0.000000 28
15.0 0.000000 0.000000 0.000000 9
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.979624 0.993666 0.986595 14999
20.0 0.729730 0.782012 0.754967 656
avg / total 0.951834 0.961273 0.955031 16087
Classification report for turbine 21, turbine category 9
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 0.974957 0.995848 0.985292 14934
20 0.880231 0.743902 0.806345 820
avg / total 0.949947 0.962392 0.955775 16087
Classification report for turbine 21, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.994036 0.996387 0.995210 15223
20.0 0.948941 0.881944 0.914217 864
avg / total 0.991614 0.990241 0.990860 16087
Classification report for turbine 21, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 22
11 0.000000 0.000000 0.000000 115
12 0.000000 0.000000 0.000000 118
13 0.166667 0.008403 0.016000 119
14 0.000000 0.000000 0.000000 107
15 0.055556 0.009009 0.015504 111
16 0.000000 0.000000 0.000000 108
17 0.000000 0.000000 0.000000 116
18 0.000000 0.000000 0.000000 119
19 0.936961 0.991289 0.963359 14349
20 0.886700 0.896638 0.891641 803
avg / total 0.881611 0.929073 0.904013 16087
Classification report for turbine 21, turbine category 12
precision recall f1-score support
19 0.993782 0.997307 0.995541 15223
20 0.949383 0.890046 0.918757 864
avg / total 0.991397 0.991546 0.991417 16087
Classification report for turbine 21, turbine category 13
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 0.980232 0.997336 0.988710 15015
20 0.934568 0.891637 0.912598 849
avg / total 0.964234 0.977932 0.970987 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.992433 0.998131 0.995274 14979
20 0.972603 0.897112 0.933333 1108
avg / total 0.991067 0.991173 0.991007 16087
Classification report for turbine 21, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992431 0.997930 0.995173 14979
20.0 0.972549 0.895307 0.932331 1108
avg / total 0.991062 0.990862 0.990845 16087
Classification report for turbine 21, turbine category 2
precision recall f1-score support
19 0.992433 0.998131 0.995274 14979
20 0.972603 0.897112 0.933333 1108
avg / total 0.991067 0.991173 0.991007 16087
Classification report for turbine 21, turbine category 3
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 0.987542 0.994432 0.990975 14907
20 0.806210 0.814054 0.810113 925
avg / total 0.961466 0.968360 0.964876 16087
Classification report for turbine 21, turbine category 4
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.992366 0.998064 0.995207 14979
20.0 0.972549 0.895307 0.932331 1108
avg / total 0.991001 0.990987 0.990876 16087
Classification report for turbine 21, turbine category 5
precision recall f1-score support
19 0.992433 0.998131 0.995274 14979
20 0.972603 0.897112 0.933333 1108
avg / total 0.991067 0.991173 0.991007 16087
Classification report for turbine 21, turbine category 6
precision recall f1-score support
10 0.029412 0.005650 0.009479 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 0.000000 0.000000 0.000000 135
19 0.911334 0.995929 0.951756 13757
20 0.806256 0.877058 0.840168 911
avg / total 0.825321 0.901411 0.861589 16087
Classification report for turbine 21, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992365 0.997930 0.995140 14979
20.0 0.971916 0.874549 0.920665 1108
avg / total 0.990957 0.989432 0.990011 16087
Classification report for turbine 21, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 8
11 0.000000 0.000000 0.000000 72
12 0.051282 0.027778 0.036036 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 0.955229 0.996253 0.975310 14413
20 0.949541 0.757548 0.842748 1093
avg / total 0.920573 0.944179 0.931240 16087
Classification report for turbine 21, turbine category 9
precision recall f1-score support
10 0.178571 0.010870 0.020492 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 0.936811 0.997241 0.966082 14138
20 0.495450 0.846287 0.625000 579
avg / total 0.846251 0.907192 0.872118 16087
Classification report for turbine 21, turbine category 10
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 0.973287 0.997073 0.985036 14690
20 0.948919 0.889503 0.918251 1086
avg / total 0.952826 0.970535 0.961485 16087
Classification report for turbine 21, turbine category 11
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 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 36
18 0.000000 0.000000 0.000000 36
19 0.974395 0.994285 0.984239 14697
20 0.962818 0.897810 0.929178 1096
avg / total 0.955798 0.969541 0.962500 16087
Classification report for turbine 21, turbine category 12
precision recall f1-score support
19 0.992433 0.998131 0.995274 14979
20 0.972603 0.897112 0.933333 1108
avg / total 0.991067 0.991173 0.991007 16087
Classification report for turbine 21, turbine category 13
precision recall f1-score support
15.0 0.000000 0.000000 0.000000 0
19.0 0.992432 0.998064 0.995240 14979
20.0 0.972603 0.897112 0.933333 1108
avg / total 0.991067 0.991111 0.990976 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 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 0.949882 0.989864 0.969461 14207
20 0.843288 0.902639 0.871955 1705
avg / total 0.897942 0.938184 0.917608 16630
Classification report for turbine 22, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.987949 0.986947 0.987448 14786
20.0 0.918042 0.874729 0.895862 1844
avg / total 0.980198 0.974504 0.977293 16630
Classification report for turbine 22, turbine category 2
precision recall f1-score support
19 0.988382 0.989652 0.989017 14786
20 0.916164 0.906725 0.911420 1844
avg / total 0.980374 0.980457 0.980413 16630
Classification report for turbine 22, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990289 0.965576 0.977776 14786
20.0 0.906289 0.781453 0.839255 1844
avg / total 0.980975 0.945159 0.962416 16630
Classification report for turbine 22, turbine category 4
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 0.979734 0.989426 0.984556 14658
20 0.787829 0.895327 0.838145 1605
avg / total 0.939591 0.958509 0.948698 16630
Classification report for turbine 22, turbine category 5
precision recall f1-score support
19 0.988382 0.989652 0.989017 14786
20 0.916164 0.906725 0.911420 1844
avg / total 0.980374 0.980457 0.980413 16630
Classification report for turbine 22, turbine category 6
precision recall f1-score support
10 0.739623 0.670085 0.703139 585
11 0.000000 0.000000 0.000000 146
12 0.000000 0.000000 0.000000 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 0.933419 0.935294 0.934356 13940
20 0.692308 0.781929 0.734394 1151
avg / total 0.856367 0.861696 0.858782 16630
Classification report for turbine 22, turbine category 7
precision recall f1-score support
19 0.988382 0.989652 0.989017 14786
20 0.916164 0.906725 0.911420 1844
avg / total 0.980374 0.980457 0.980413 16630
Classification report for turbine 22, turbine category 8
precision recall f1-score support
10 0.231092 0.254630 0.242291 432
11 0.003731 0.004167 0.003937 240
12 0.008065 0.005102 0.006250 196
13 0.048000 0.033149 0.039216 181
14 0.000000 0.000000 0.000000 157
15 0.000000 0.000000 0.000000 108
16 0.000000 0.000000 0.000000 120
17 0.000000 0.000000 0.000000 115
18 0.000000 0.000000 0.000000 105
19 0.920812 0.870928 0.895175 13752
20 0.645205 0.769608 0.701937 1224
avg / total 0.815618 0.783945 0.798771 16630
Classification report for turbine 22, turbine category 9
precision recall f1-score support
10 0.064978 0.415493 0.112381 142
11 0.255814 0.068750 0.108374 160
12 0.121951 0.033784 0.052910 148
13 0.017241 0.007353 0.010309 136
14 0.013072 0.016260 0.014493 123
15 0.000000 0.000000 0.000000 111
16 0.023256 0.008850 0.012821 113
17 0.000000 0.000000 0.000000 117
18 0.000000 0.000000 0.000000 115
19 0.940687 0.955718 0.948143 13956
20 0.763352 0.549370 0.638921 1509
avg / total 0.863194 0.856645 0.856415 16630
Classification report for turbine 22, turbine category 10
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 0.000000 0.000000 0.000000 66
17 0.000000 0.000000 0.000000 55
18 0.000000 0.000000 0.000000 57
19 0.953439 0.983454 0.968214 14263
20 0.874655 0.896942 0.885658 1766
avg / total 0.910616 0.938725 0.924456 16630
Classification report for turbine 22, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 20
11 0.000000 0.000000 0.000000 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 0.936146 0.987429 0.961104 14001
20 0.848219 0.908451 0.877302 1704
avg / total 0.875066 0.924414 0.899058 16630
Classification report for turbine 22, turbine category 12
precision recall f1-score support
19 0.988382 0.989652 0.989017 14786
20 0.916164 0.906725 0.911420 1844
avg / total 0.980374 0.980457 0.980413 16630
Classification report for turbine 22, turbine category 13
precision recall f1-score support
19 0.988382 0.989652 0.989017 14786
20 0.916164 0.906725 0.911420 1844
avg / total 0.980374 0.980457 0.980413 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991461 0.989977 0.990718 15364
20.0 0.914447 0.894945 0.904591 1266
avg / total 0.985598 0.982742 0.984161 16630
Classification report for turbine 22, turbine category 1
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 0.979522 0.992556 0.985996 15180
20 0.884647 0.870204 0.877366 1225
avg / total 0.959280 0.970114 0.964654 16630
Classification report for turbine 22, turbine category 2
precision recall f1-score support
19 0.991426 0.993426 0.992425 15364
20 0.918219 0.895735 0.906837 1266
avg / total 0.985853 0.985989 0.985909 16630
Classification report for turbine 22, turbine category 3
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 0.977376 0.989832 0.983565 15145
20 0.912860 0.854992 0.882979 1262
avg / total 0.959374 0.966326 0.962742 16630
Classification report for turbine 22, turbine category 4
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 0.977044 0.991945 0.984438 15146
20 0.879418 0.679518 0.766652 1245
avg / total 0.955693 0.954299 0.953985 16630
Classification report for turbine 22, turbine category 5
precision recall f1-score support
19 0.991426 0.993426 0.992425 15364
20 0.918219 0.895735 0.906837 1266
avg / total 0.985853 0.985989 0.985909 16630
Classification report for turbine 22, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 31
12.0 0.000000 0.000000 0.000000 27
13.0 0.000000 0.000000 0.000000 33
14.0 0.000000 0.000000 0.000000 32
15.0 0.000000 0.000000 0.000000 25
16.0 0.000000 0.000000 0.000000 30
17.0 0.000000 0.000000 0.000000 25
18.0 0.000000 0.000000 0.000000 26
19.0 0.983256 0.977113 0.980175 15205
20.0 0.897220 0.890468 0.893831 1196
avg / total 0.963529 0.957426 0.960468 16630
Classification report for turbine 22, turbine category 7
precision recall f1-score support
19 0.991426 0.993426 0.992425 15364
20 0.918219 0.895735 0.906837 1266
avg / total 0.985853 0.985989 0.985909 16630
Classification report for turbine 22, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991203 0.982752 0.986960 15364
20.0 0.871148 0.491311 0.628283 1266
avg / total 0.982064 0.945340 0.959654 16630
Classification report for turbine 22, turbine category 9
precision recall f1-score support
10 0.301829 0.317308 0.309375 312
11 0.016260 0.005618 0.008351 356
12 0.000000 0.000000 0.000000 265
13 0.000000 0.000000 0.000000 190
14 0.000000 0.000000 0.000000 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 0.894273 0.952433 0.922437 13854
20 0.818589 0.683817 0.745158 1069
avg / total 0.803625 0.843476 0.822340 16630
Classification report for turbine 22, turbine category 10
precision recall f1-score support
10 0.111111 0.003802 0.007353 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 0.000000 0.000000 0.000000 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 0.868354 0.989518 0.924985 13452
20 0.708029 0.886294 0.787196 985
avg / total 0.746105 0.852977 0.794962 16630
Classification report for turbine 22, turbine category 11
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 0.977185 0.984413 0.980786 15141
20 0.912833 0.899046 0.905887 1258
avg / total 0.958743 0.964281 0.961496 16630
Classification report for turbine 22, turbine category 12
precision recall f1-score support
19 0.991426 0.993426 0.992425 15364
20 0.918219 0.895735 0.906837 1266
avg / total 0.985853 0.985989 0.985909 16630
Classification report for turbine 22, turbine category 13
precision recall f1-score support
19 0.991426 0.993426 0.992425 15364
20 0.918219 0.895735 0.906837 1266
avg / total 0.985853 0.985989 0.985909 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.987328 0.992660 0.989987 14442
20.0 0.965551 0.896709 0.929858 2188
avg / total 0.984463 0.980036 0.982076 16630
Classification report for turbine 22, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985457 0.994668 0.990041 14442
20.0 0.968122 0.902194 0.933996 2188
avg / total 0.983176 0.982502 0.982667 16630
Classification report for turbine 22, turbine category 2
precision recall f1-score support
19 0.985469 0.995568 0.990493 14442
20 0.968627 0.903108 0.934721 2188
avg / total 0.983254 0.983403 0.983155 16630
Classification report for turbine 22, turbine category 3
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 0.968888 0.991407 0.980018 14198
20 0.967855 0.881922 0.922893 2185
avg / total 0.954361 0.962297 0.957957 16630
Classification report for turbine 22, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985391 0.994807 0.990076 14442
20.0 0.968597 0.902194 0.934217 2188
avg / total 0.983181 0.982622 0.982727 16630
Classification report for turbine 22, turbine category 5
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 0.961892 0.995814 0.978559 14093
20 0.925980 0.901240 0.913443 2096
avg / total 0.931858 0.957486 0.944402 16630
Classification report for turbine 22, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985638 0.993145 0.989377 14442
20.0 0.965851 0.866088 0.913253 2188
avg / total 0.983034 0.976428 0.979362 16630
Classification report for turbine 22, turbine category 7
precision recall f1-score support
19 0.985469 0.995568 0.990493 14442
20 0.968627 0.903108 0.934721 2188
avg / total 0.983254 0.983403 0.983155 16630
Classification report for turbine 22, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.985063 0.972649 0.978817 14442
20.0 0.966065 0.806673 0.879203 2188
avg / total 0.982563 0.950812 0.965711 16630
Classification report for turbine 22, turbine category 9
precision recall f1-score support
10 0.066667 0.750000 0.122449 52
11 0.000000 0.000000 0.000000 54
12 0.000000 0.000000 0.000000 54
13 0.052632 0.016129 0.024691 62
14 0.071429 0.017857 0.028571 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 0.955162 0.981779 0.968288 13995
20 0.959016 0.660706 0.782391 2125
avg / total 0.927007 0.913109 0.915410 16630
Classification report for turbine 22, turbine category 10
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 0.964253 0.980829 0.972471 14136
20 0.958525 0.859504 0.906318 2178
avg / total 0.945181 0.946302 0.945328 16630
Classification report for turbine 22, turbine category 11
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 0.942963 0.993053 0.967360 13818
20 0.937012 0.906900 0.921710 2116
avg / total 0.902741 0.940529 0.921065 16630
Classification report for turbine 22, turbine category 12
precision recall f1-score support
19 0.985469 0.995568 0.990493 14442
20 0.968627 0.903108 0.934721 2188
avg / total 0.983254 0.983403 0.983155 16630
Classification report for turbine 22, turbine category 13
precision recall f1-score support
19 0.985469 0.995568 0.990493 14442
20 0.968627 0.903108 0.934721 2188
avg / total 0.983254 0.983403 0.983155 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.993241 0.996609 0.994922 15925
20.0 0.931250 0.845390 0.886245 705
avg / total 0.990613 0.990198 0.990315 16630
Classification report for turbine 22, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.994301 0.996986 0.995642 15925
20.0 0.930197 0.869504 0.898827 705
avg / total 0.991584 0.991581 0.991537 16630
Classification report for turbine 22, turbine category 2
precision recall f1-score support
19 0.994116 0.997300 0.995705 15925
20 0.934251 0.866667 0.899191 705
avg / total 0.991578 0.991762 0.991614 16630
Classification report for turbine 22, turbine category 3
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 0.975850 0.994629 0.985150 15641
20 0.870704 0.803625 0.835821 662
avg / total 0.952476 0.967468 0.959835 16630
Classification report for turbine 22, turbine category 4
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 0.500000 0.028571 0.054054 35
18 0.000000 0.000000 0.000000 36
19 0.976746 0.995910 0.986235 15647
20 0.918462 0.862717 0.889717 692
avg / total 0.958281 0.973001 0.965074 16630
Classification report for turbine 22, turbine category 5
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.994425 0.996923 0.995673 15925
20.0 0.931921 0.873759 0.901903 705
avg / total 0.991776 0.991702 0.991697 16630
Classification report for turbine 22, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.993423 0.995856 0.994638 15925
20.0 0.921818 0.719149 0.807968 705
avg / total 0.990387 0.984125 0.986724 16630
Classification report for turbine 22, turbine category 7
precision recall f1-score support
19 0.994116 0.997300 0.995705 15925
20 0.934251 0.866667 0.899191 705
avg / total 0.991578 0.991762 0.991614 16630
Classification report for turbine 22, turbine category 8
precision recall f1-score support
10 0.111111 0.008097 0.015094 247
11 0.000000 0.000000 0.000000 57
12 0.166667 0.018868 0.033898 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 0.978538 0.994705 0.986555 15676
20 0.461538 0.784741 0.581231 367
avg / total 0.934770 0.955141 0.943120 16630
Classification report for turbine 22, turbine category 9
precision recall f1-score support
10 0.300000 0.156716 0.205882 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 0.980874 0.988863 0.984852 15714
20 0.752560 0.770979 0.761658 572
avg / total 0.955148 0.962177 0.958462 16630
Classification report for turbine 22, turbine category 10
precision recall f1-score support
10 0.122807 0.162791 0.140000 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 0.025000 0.027778 0.026316 36
18 0.000000 0.000000 0.000000 36
19 0.967020 0.989802 0.978278 15493
20 0.906303 0.791667 0.845115 672
avg / total 0.937899 0.954600 0.945962 16630
Classification report for turbine 22, turbine category 11
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 0.949479 0.994871 0.971645 15207
20 0.909228 0.874818 0.891691 687
avg / total 0.906937 0.945941 0.925454 16630
Classification report for turbine 22, turbine category 12
precision recall f1-score support
19 0.994116 0.997300 0.995705 15925
20 0.934251 0.866667 0.899191 705
avg / total 0.991578 0.991762 0.991614 16630
Classification report for turbine 22, turbine category 13
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 0.981660 0.997266 0.989401 15726
20 0.922018 0.867626 0.893996 695
avg / total 0.966830 0.979314 0.972980 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.995987 0.996602 0.996295 16188
20.0 0.886792 0.850679 0.868360 442
avg / total 0.993085 0.992724 0.992894 16630
Classification report for turbine 22, turbine category 1
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 0.981481 0.996803 0.989083 15951
20 0.767606 0.838462 0.801471 390
avg / total 0.959409 0.975767 0.967494 16630
Classification report for turbine 22, turbine category 2
precision recall f1-score support
19 0.995989 0.997097 0.996543 16188
20 0.889151 0.852941 0.870670 442
avg / total 0.993150 0.993265 0.993197 16630
Classification report for turbine 22, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996225 0.994502 0.995363 16188
20.0 0.880000 0.796380 0.836105 442
avg / total 0.993136 0.989236 0.991130 16630
Classification report for turbine 22, turbine category 4
precision recall f1-score support
10 0.671875 0.511905 0.581081 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 0.960851 0.994941 0.977599 15615
20 0.773438 0.822715 0.797315 361
avg / total 0.922389 0.954660 0.938175 16630
Classification report for turbine 22, turbine category 5
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.996049 0.996726 0.996387 16188
20.0 0.885246 0.855204 0.869965 442
avg / total 0.993104 0.992965 0.993027 16630
Classification report for turbine 22, turbine category 6
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 0.960244 0.996924 0.978240 15603
20 0.841849 0.827751 0.834741 418
avg / total 0.922104 0.956164 0.938810 16630
Classification report for turbine 22, turbine category 7
precision recall f1-score support
19 0.995989 0.997097 0.996543 16188
20 0.889151 0.852941 0.870670 442
avg / total 0.993150 0.993265 0.993197 16630
Classification report for turbine 22, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996166 0.995120 0.995643 16188
20.0 0.869792 0.755656 0.808717 442
avg / total 0.992807 0.988755 0.990674 16630
Classification report for turbine 22, turbine category 9
precision recall f1-score support
10 0.000000 0.000000 0.000000 4
11 0.000000 0.000000 0.000000 36
12 0.111111 0.028571 0.045455 35
13 0.076923 0.028571 0.041667 35
14 0.033333 0.027778 0.030303 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 0.978812 0.990630 0.984686 15902
20 0.874317 0.728929 0.795031 439
avg / total 0.959511 0.966687 0.962816 16630
Classification report for turbine 22, turbine category 10
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 0.978742 0.993145 0.985891 15901
20 0.879070 0.863014 0.870968 438
avg / total 0.958990 0.972339 0.965612 16630
Classification report for turbine 22, turbine category 11
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996101 0.994379 0.995239 16188
20.0 0.887059 0.852941 0.869666 442
avg / total 0.993203 0.990619 0.991902 16630
Classification report for turbine 22, turbine category 12
precision recall f1-score support
19 0.995989 0.997097 0.996543 16188
20 0.889151 0.852941 0.870670 442
avg / total 0.993150 0.993265 0.993197 16630
Classification report for turbine 22, turbine category 13
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.996050 0.996911 0.996480 16188
20.0 0.889412 0.855204 0.871972 442
avg / total 0.993216 0.993145 0.993171 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 1
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 2
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 3
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 4
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.977956 0.985547 0.981737 14945
20.0 0.834469 0.712978 0.768955 1202
avg / total 0.967275 0.965257 0.965897 16147
Classification report for turbine 23, turbine category 6
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 7
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 8
precision recall f1-score support
10 0.859016 0.486989 0.621590 538
11 0.011628 0.008333 0.009709 240
12 0.071429 0.031250 0.043478 160
13 0.008772 0.007463 0.008065 134
14 0.016949 0.017241 0.017094 116
15 0.000000 0.000000 0.000000 91
16 0.000000 0.000000 0.000000 81
17 0.000000 0.000000 0.000000 58
18 0.000000 0.000000 0.000000 52
19 0.926388 0.953070 0.939539 13957
20 0.611191 0.591667 0.601270 720
avg / total 0.857693 0.867034 0.860397 16147
Classification report for turbine 23, turbine category 9
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 0.962904 0.979969 0.971361 14727
20 0.607527 0.436715 0.508151 1035
avg / total 0.917166 0.921781 0.918510 16147
Classification report for turbine 23, turbine category 10
precision recall f1-score support
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.978272 0.988157 0.983190 14945
20.0 0.839423 0.726290 0.778769 1202
avg / total 0.967936 0.968663 0.967972 16147
Classification report for turbine 23, turbine category 11
precision recall f1-score support
10 0.115385 0.142857 0.127660 21
11 0.036810 0.050420 0.042553 119
12 0.055046 0.054054 0.054545 111
13 0.018519 0.008696 0.011834 115
14 0.011236 0.008850 0.009901 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 0.930793 0.960468 0.945397 14115
20 0.780039 0.731818 0.755159 1100
avg / total 0.867808 0.890506 0.878878 16147
Classification report for turbine 23, turbine category 12
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 16147
Classification report for turbine 23, turbine category 13
precision recall f1-score support
19 0.978287 0.988826 0.983528 14945
20 0.839577 0.727121 0.779313 1202
avg / total 0.967961 0.969344 0.968326 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.975252 0.991919 0.983515 11879
20 0.976384 0.929944 0.952598 4268
avg / total 0.975551 0.975537 0.975343 16147
Classification report for turbine 23, turbine category 1
precision recall f1-score support
19 0.975252 0.991919 0.983515 11879
20 0.976384 0.929944 0.952598 4268
avg / total 0.975551 0.975537 0.975343 16147
Classification report for turbine 23, turbine category 2
precision recall f1-score support
19 0.975252 0.991919 0.983515 11879
20 0.976384 0.929944 0.952598 4268
avg / total 0.975551 0.975537 0.975343 16147
Classification report for turbine 23, turbine category 3
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 0.897037 0.991764 0.942025 10928
20 0.948831 0.940273 0.944533 4102
avg / total 0.848141 0.910076 0.877496 16147
Classification report for turbine 23, turbine category 4
precision recall f1-score support
19 0.975252 0.991919 0.983515 11879
20 0.976384 0.929944 0.952598 4268
avg / total 0.975551 0.975537 0.975343 16147
Classification report for turbine 23, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.973578 0.992592 0.982993 11879
20.0 0.978981 0.873008 0.922963 4268
avg / total 0.975006 0.960983 0.967126 16147
Classification report for turbine 23, turbine category 6
precision recall f1-score support
19 0.975252 0.991919 0.983515 11879
20 0.976384 0.929944 0.952598 4268
avg / total 0.975551 0.975537 0.975343 16147
Classification report for turbine 23, turbine category 7
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 0.960189 0.991793 0.975735 11697
20 0.950062 0.928812 0.939317 4158
avg / total 0.940217 0.957639 0.948712 16147
Classification report for turbine 23, turbine category 8
precision recall f1-score support
10 0.001938 0.200000 0.003839 5
11 0.000000 0.000000 0.000000 30
12 0.000000 0.000000 0.000000 34
13 0.000000 0.000000 0.000000 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 0.952322 0.982403 0.967129 11650
20 0.972132 0.768996 0.858714 4264
avg / total 0.943812 0.911934 0.924545 16147
Classification report for turbine 23, turbine category 9
precision recall f1-score support
10 0.847892 0.170245 0.283556 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 0.000000 0.000000 0.000000 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 0.944347 0.935587 0.939947 11535
20 0.261337 0.792760 0.393090 1105
avg / total 0.866155 0.757478 0.756448 16147
Classification report for turbine 23, turbine category 10
precision recall f1-score support
10 0.065217 0.048387 0.055556 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 0.908324 0.991689 0.948178 11070
20 0.960648 0.920305 0.940044 4191
avg / total 0.872314 0.918932 0.894252 16147
Classification report for turbine 23, turbine category 11
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 0.958299 0.984407 0.971177 11672
20 0.973737 0.912992 0.942387 4264
avg / total 0.949853 0.952685 0.950884 16147
Classification report for turbine 23, turbine category 12
precision recall f1-score support
19 0.975252 0.991919 0.983515 11879
20 0.976384 0.929944 0.952598 4268
avg / total 0.975551 0.975537 0.975343 16147
Classification report for turbine 23, turbine category 13
precision recall f1-score support
19 0.975252 0.991919 0.983515 11879
20 0.976384 0.929944 0.952598 4268
avg / total 0.975551 0.975537 0.975343 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
19 0.963890 0.994174 0.978798 13559
20 0.963460 0.804869 0.877053 2588
avg / total 0.963821 0.963832 0.962490 16147
Classification report for turbine 23, turbine category 1
precision recall f1-score support
19 0.963890 0.994174 0.978798 13559
20 0.963460 0.804869 0.877053 2588
avg / total 0.963821 0.963832 0.962490 16147
Classification report for turbine 23, turbine category 2
precision recall f1-score support
19 0.963890 0.994174 0.978798 13559
20 0.963460 0.804869 0.877053 2588
avg / total 0.963821 0.963832 0.962490 16147
Classification report for turbine 23, turbine category 3
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.908778 0.992099 0.948612 12783
20 0.862818 0.789185 0.824360 2367
avg / total 0.845928 0.901096 0.871826 16147
Classification report for turbine 23, turbine category 4
precision recall f1-score support
19 0.963890 0.994174 0.978798 13559
20 0.963460 0.804869 0.877053 2588
avg / total 0.963821 0.963832 0.962490 16147
Classification report for turbine 23, turbine category 5
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.963874 0.993731 0.978575 13559
20.0 0.963460 0.804869 0.877053 2588
avg / total 0.963808 0.963461 0.962303 16147
Classification report for turbine 23, turbine category 6
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 0.934358 0.993991 0.963252 13146
20 0.954672 0.803738 0.872727 2568
avg / total 0.912533 0.937078 0.923025 16147
Classification report for turbine 23, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.963681 0.994100 0.978654 13559
20.0 0.962999 0.774343 0.858428 2588
avg / total 0.963571 0.958878 0.959384 16147
Classification report for turbine 23, turbine category 8
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 0.959399 0.960836 0.960117 13354
20 0.957684 0.665892 0.785567 2583
avg / total 0.946647 0.901158 0.919708 16147
Classification report for turbine 23, turbine category 9
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.949532 0.993121 0.970838 13375
20 0.949764 0.631682 0.758735 2544
avg / total 0.936161 0.922153 0.923712 16147
Classification report for turbine 23, turbine category 10
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.963815 0.986135 0.974847 13559
20.0 0.963494 0.805641 0.877525 2588
avg / total 0.963763 0.957206 0.959248 16147
Classification report for turbine 23, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 16
11 0.000000 0.000000 0.000000 89
12 0.000000 0.000000 0.000000 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 0.927684 0.986399 0.956141 12940
20 0.953390 0.791944 0.865200 2557
avg / total 0.894410 0.915898 0.903250 16147
Classification report for turbine 23, turbine category 12
precision recall f1-score support
19 0.963890 0.994174 0.978798 13559
20 0.963460 0.804869 0.877053 2588
avg / total 0.963821 0.963832 0.962490 16147
Classification report for turbine 23, turbine category 13
precision recall f1-score support
19 0.963890 0.994174 0.978798 13559
20 0.963460 0.804869 0.877053 2588
avg / total 0.963821 0.963832 0.962490 16147
------------------------------------------------------------------------
Classification report for turbine 23, turbine category 0
precision recall f1-score support
19 0.994398 0.996682 0.995539 15672
20 0.881549 0.814737 0.846827 475
avg / total 0.991078 0.991330 0.991164 16147
Classification report for turbine 23, turbine category 1
precision recall f1-score support
19 0.994398 0.996682 0.995539 15672
20 0.881549 0.814737 0.846827 475
avg / total 0.991078 0.991330 0.991164 16147
Classification report for turbine 23, turbine category 2
precision recall f1-score support
19 0.994398 0.996682 0.995539 15672
20 0.881549 0.814737 0.846827 475
avg / total 0.991078 0.991330 0.991164 16147
Classification report for turbine 23, turbine category 3
precision recall f1-score support
10 0.040000 0.017857 0.024691 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 0.000000 0.000000 0.000000 67
16 0.000000 0.000000 0.000000 66
17 0.000000 0.000000 0.000000 64
18 0.000000 0.000000 0.000000 63
19 0.959813 0.990738 0.975030 15115
20 0.746231 0.744361 0.745295 399
avg / total 0.917186 0.945934 0.931301 16147
Classification report for turbine 23, turbine category 4
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 0.983830 0.996711 0.990228 15505
20 0.562642 0.737313 0.638243 335
avg / total 0.956386 0.972379 0.964099 16147
Classification report for turbine 23, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.994397 0.996554 0.995475 15672
20.0 0.881279 0.812632 0.845564 475
avg / total 0.991069 0.991144 0.991065 16147
Classification report for turbine 23, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.994398 0.996682 0.995539 15672
20.0 0.880184 0.804211 0.840484 475
avg / total 0.991038 0.991020 0.990977 16147
Classification report for turbine 23, turbine category 7
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.994397 0.996554 0.995475 15672
20.0 0.881549 0.814737 0.846827 475
avg / total 0.991077 0.991206 0.991102 16147
Classification report for turbine 23, turbine category 8
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 0.977409 0.991882 0.984593 15398
20 0.832134 0.751082 0.789534 462
avg / total 0.955880 0.967362 0.961511 16147
Classification report for turbine 23, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.994452 0.995023 0.994737 15672
20.0 0.869681 0.688421 0.768508 475
avg / total 0.990781 0.986004 0.988082 16147
Classification report for turbine 23, turbine category 10
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 34
18 0.000000 0.000000 0.000000 36
19 0.976303 0.996036 0.986070 15387
20 0.870455 0.814894 0.841758 470
avg / total 0.955687 0.972874 0.964160 16147
Classification report for turbine 23, turbine category 11
precision recall f1-score support
10 1.000000 0.055556 0.105263 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 0.945835 0.994092 0.969364 14896
20 0.811791 0.811791 0.811791 441
avg / total 0.895842 0.939308 0.916550 16147
Classification report for turbine 23, turbine category 12
precision recall f1-score support
19 0.994398 0.996682 0.995539 15672
20 0.881549 0.814737 0.846827 475
avg / total 0.991078 0.991330 0.991164 16147
Classification report for turbine 23, turbine category 13
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 0.980647 0.996636 0.988577 15456
20 0.858770 0.814255 0.835920 463
avg / total 0.963305 0.977333 0.970240 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
19 0.992952 0.996173 0.994560 15415
20 0.913490 0.851093 0.881188 732
avg / total 0.989350 0.989596 0.989420 16147
Classification report for turbine 23, turbine category 1
precision recall f1-score support
19 0.992952 0.996173 0.994560 15415
20 0.913490 0.851093 0.881188 732
avg / total 0.989350 0.989596 0.989420 16147
Classification report for turbine 23, turbine category 2
precision recall f1-score support
19 0.992952 0.996173 0.994560 15415
20 0.913490 0.851093 0.881188 732
avg / total 0.989350 0.989596 0.989420 16147
Classification report for turbine 23, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.993125 0.993318 0.993222 15415
20.0 0.909786 0.812842 0.858586 732
avg / total 0.989347 0.985137 0.987118 16147
Classification report for turbine 23, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.992950 0.995978 0.994462 15415
20.0 0.911765 0.846995 0.878187 732
avg / total 0.989270 0.989224 0.989191 16147
Classification report for turbine 23, turbine category 5
precision recall f1-score support
13.0 0.000000 0.000000 0.000000 0
19.0 0.992952 0.996173 0.994560 15415
20.0 0.913235 0.848361 0.879603 732
avg / total 0.989338 0.989472 0.989348 16147
Classification report for turbine 23, turbine category 6
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 0.938248 0.996292 0.966399 14564
20 0.898827 0.863380 0.880747 710
avg / total 0.885787 0.936583 0.910384 16147
Classification report for turbine 23, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
19.0 0.992952 0.996173 0.994560 15415
20.0 0.913235 0.848361 0.879603 732
avg / total 0.989338 0.989472 0.989348 16147
Classification report for turbine 23, turbine category 8
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.993131 0.994162 0.993646 15415
20.0 0.901431 0.774590 0.833211 732
avg / total 0.988974 0.984208 0.986373 16147
Classification report for turbine 23, turbine category 9
precision recall f1-score support
10 0.132867 0.086758 0.104972 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 0.844996 0.992610 0.912874 13126
20 0.543186 0.558185 0.550584 507
avg / total 0.705761 0.825602 0.760793 16147
Classification report for turbine 23, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.992950 0.995848 0.994397 15415
20.0 0.913363 0.849727 0.880396 732
avg / total 0.989342 0.989224 0.989229 16147
Classification report for turbine 23, turbine category 11
precision recall f1-score support
10 0.500000 0.071429 0.125000 14
11 0.000000 0.000000 0.000000 71
12 0.000000 0.000000 0.000000 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 0.957745 0.994214 0.975639 14864
20 0.885341 0.875179 0.880231 697
avg / total 0.920295 0.953056 0.936221 16147
Classification report for turbine 23, turbine category 12
precision recall f1-score support
19 0.992952 0.996173 0.994560 15415
20 0.913490 0.851093 0.881188 732
avg / total 0.989350 0.989596 0.989420 16147
Classification report for turbine 23, turbine category 13
precision recall f1-score support
18.0 0.000000 0.000000 0.000000 0
19.0 0.992951 0.996043 0.994494 15415
20.0 0.912152 0.851093 0.880565 732
avg / total 0.989288 0.989472 0.989330 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.951961 0.997907 0.974393 16244
20 0.931727 0.361934 0.521348 1282
avg / total 0.950481 0.951387 0.941253 17526
Classification report for turbine 24, turbine category 1
precision recall f1-score support
19 0.951961 0.997907 0.974393 16244
20 0.931727 0.361934 0.521348 1282
avg / total 0.950481 0.951387 0.941253 17526
Classification report for turbine 24, turbine category 2
precision recall f1-score support
19 0.951961 0.997907 0.974393 16244
20 0.931727 0.361934 0.521348 1282
avg / total 0.950481 0.951387 0.941253 17526
Classification report for turbine 24, turbine category 3
precision recall f1-score support
10 0.875000 0.126506 0.221053 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 0.886613 0.995242 0.937792 15132
20 0.690722 0.330049 0.446667 1015
avg / total 0.813794 0.879607 0.837654 17526
Classification report for turbine 24, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.951797 0.997968 0.974336 16244
20.0 0.932653 0.356474 0.515801 1282
avg / total 0.950396 0.951044 0.940795 17526
Classification report for turbine 24, turbine category 5
precision recall f1-score support
19 0.951961 0.997907 0.974393 16244
20 0.931727 0.361934 0.521348 1282
avg / total 0.950481 0.951387 0.941253 17526
Classification report for turbine 24, turbine category 6
precision recall f1-score support
10 0.041667 0.003268 0.006061 306
11 0.000000 0.000000 0.000000 52
12 0.000000 0.000000 0.000000 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 0.923960 0.996382 0.958805 15756
20 0.907895 0.382625 0.538362 1082
avg / total 0.887425 0.919434 0.895315 17526
Classification report for turbine 24, turbine category 7
precision recall f1-score support
19 0.951961 0.997907 0.974393 16244
20 0.931727 0.361934 0.521348 1282
avg / total 0.950481 0.951387 0.941253 17526
Classification report for turbine 24, turbine category 8
precision recall f1-score support
10 0.228346 0.358025 0.278846 243
11 0.000000 0.000000 0.000000 149
12 0.000000 0.000000 0.000000 146
13 0.016393 0.006757 0.009569 148
14 0.040000 0.006623 0.011364 151
15 0.000000 0.000000 0.000000 155
16 0.019231 0.012903 0.015444 155
17 0.000000 0.000000 0.000000 158
18 0.000000 0.000000 0.000000 143
19 0.876654 0.972656 0.922163 14921
20 0.862416 0.222126 0.353265 1157
avg / total 0.807104 0.847940 0.812599 17526
Classification report for turbine 24, turbine category 9
precision recall f1-score support
10 0.333333 0.004021 0.007947 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 0.000000 0.000000 0.000000 183
17 0.000000 0.000000 0.000000 174
18 0.000000 0.000000 0.000000 169
19 0.856512 0.978440 0.913425 14471
20 0.550442 0.428375 0.481797 726
avg / total 0.744201 0.825802 0.774500 17526
Classification report for turbine 24, turbine category 10
precision recall f1-score support
10 0.209677 0.098485 0.134021 132
11 0.000000 0.000000 0.000000 185
12 0.000000 0.000000 0.000000 173
13 0.000000 0.000000 0.000000 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 0.071429 0.007092 0.012903 141
19 0.877418 0.988040 0.929449 14967
20 0.787629 0.320470 0.455575 1192
avg / total 0.805028 0.866370 0.825837 17526
Classification report for turbine 24, turbine category 11
precision recall f1-score support
10 0.181818 0.055556 0.085106 36
11 0.028986 0.009174 0.013937 218
12 0.000000 0.000000 0.000000 202
13 0.219512 0.084507 0.122034 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 0.866703 0.976013 0.918116 14716
20 0.815642 0.396380 0.533496 1105
avg / total 0.782569 0.845772 0.806379 17526
Classification report for turbine 24, turbine category 12
precision recall f1-score support
19 0.951961 0.997907 0.974393 16244
20 0.931727 0.361934 0.521348 1282
avg / total 0.950481 0.951387 0.941253 17526
Classification report for turbine 24, turbine category 13
precision recall f1-score support
19 0.951961 0.997907 0.974393 16244
20 0.931727 0.361934 0.521348 1282
avg / total 0.950481 0.951387 0.941253 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.914703 0.993093 0.952288 11727
20 0.953484 0.827480 0.886024 5524
avg / total 0.912574 0.925311 0.916460 17526
Classification report for turbine 24, turbine category 1
precision recall f1-score support
19 0.924050 0.993162 0.957360 11846
20 0.983104 0.829754 0.899943 5680
avg / total 0.943189 0.940203 0.938752 17526
Classification report for turbine 24, turbine category 2
precision recall f1-score support
19 0.924050 0.993162 0.957360 11846
20 0.983104 0.829754 0.899943 5680
avg / total 0.943189 0.940203 0.938752 17526
Classification report for turbine 24, turbine category 3
precision recall f1-score support
10 0.616162 0.013178 0.025804 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 0.759899 0.992275 0.860678 9709
20 0.341711 0.934180 0.500387 1732
avg / total 0.617478 0.645498 0.533062 17526
Classification report for turbine 24, turbine category 4
precision recall f1-score support
10 0.000000 0.000000 0.000000 26
11 1.000000 0.016949 0.033333 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 0.891038 0.992209 0.938906 11423
20 0.972921 0.806664 0.882026 5612
avg / total 0.895661 0.905055 0.894501 17526
Classification report for turbine 24, turbine category 5
precision recall f1-score support
19 0.924050 0.993162 0.957360 11846
20 0.983104 0.829754 0.899943 5680
avg / total 0.943189 0.940203 0.938752 17526
Classification report for turbine 24, turbine category 6
precision recall f1-score support
10 0.493827 0.050505 0.091638 792
11 0.000000 0.000000 0.000000 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 0.898344 0.991988 0.942847 11483
20 0.753866 0.781041 0.767213 4494
avg / total 0.804215 0.852505 0.818620 17526
Classification report for turbine 24, turbine category 7
precision recall f1-score support
19 0.924050 0.993162 0.957360 11846
20 0.983104 0.829754 0.899943 5680
avg / total 0.943189 0.940203 0.938752 17526
Classification report for turbine 24, turbine category 8
precision recall f1-score support
10 0.001292 0.080000 0.002543 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 0.888587 0.971748 0.928309 11433
20 0.892901 0.548909 0.679870 5316
avg / total 0.850502 0.800525 0.811800 17526
Classification report for turbine 24, turbine category 9
precision recall f1-score support
10 0.029197 0.224852 0.051683 338
11 0.000000 0.000000 0.000000 64
12 0.000000 0.000000 0.000000 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 0.926205 0.956096 0.940913 11434
20 0.892748 0.497817 0.639200 5267
avg / total 0.873114 0.777702 0.806946 17526
Classification report for turbine 24, turbine category 10
precision recall f1-score support
10 0.006098 0.010870 0.007813 92
11 0.000000 0.000000 0.000000 90
12 0.000000 0.000000 0.000000 83
13 0.000000 0.000000 0.000000 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 0.862069 0.987109 0.920361 11093
20 0.971062 0.794128 0.873727 5620
avg / total 0.857061 0.879493 0.862755 17526
Classification report for turbine 24, turbine category 11
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 0.000000 0.000000 0.000000 61
14 0.000000 0.000000 0.000000 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 0.893456 0.982529 0.935878 11505
20 0.946310 0.803633 0.869155 5505
avg / total 0.883752 0.897410 0.887366 17526
Classification report for turbine 24, turbine category 12
precision recall f1-score support
19 0.924050 0.993162 0.957360 11846
20 0.983104 0.829754 0.899943 5680
avg / total 0.943189 0.940203 0.938752 17526
Classification report for turbine 24, turbine category 13
precision recall f1-score support
19 0.924050 0.993162 0.957360 11846
20 0.983104 0.829754 0.899943 5680
avg / total 0.943189 0.940203 0.938752 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 0
precision recall f1-score support
15.0 0.000000 0.000000 0.000000 0
19.0 0.903300 0.990457 0.944873 7545
20.0 0.991916 0.885182 0.935515 9981
avg / total 0.953767 0.930503 0.939543 17526
Classification report for turbine 24, turbine category 1
precision recall f1-score support
19 0.906258 0.990457 0.946489 7545
20 0.992241 0.922553 0.956129 9981
avg / total 0.955225 0.951786 0.951979 17526
Classification report for turbine 24, turbine category 2
precision recall f1-score support
19 0.906258 0.990457 0.946489 7545
20 0.992241 0.922553 0.956129 9981
avg / total 0.955225 0.951786 0.951979 17526
Classification report for turbine 24, turbine category 3
precision recall f1-score support
10 0.993870 0.594137 0.743693 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 0.649950 0.994681 0.786186 3948
20 0.032916 0.595238 0.062383 168
avg / total 0.889492 0.673799 0.733495 17526
Classification report for turbine 24, turbine category 4
precision recall f1-score support
19 0.906367 0.990457 0.946548 7545
20 0.992242 0.922653 0.956183 9981
avg / total 0.955273 0.951843 0.952035 17526
Classification report for turbine 24, turbine category 5
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 0.781349 0.990012 0.873390 6508
20 0.982004 0.922835 0.951501 9875
avg / total 0.843450 0.887596 0.860441 17526
Classification report for turbine 24, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.903958 0.986746 0.943540 7545
20.0 0.991491 0.805531 0.888889 9981
avg / total 0.953808 0.883544 0.912416 17526
Classification report for turbine 24, turbine category 7
precision recall f1-score support
19 0.906258 0.990457 0.946489 7545
20 0.992241 0.922553 0.956129 9981
avg / total 0.955225 0.951786 0.951979 17526
Classification report for turbine 24, turbine category 8
precision recall f1-score support
10 0.046341 0.139706 0.069597 136
11 0.000000 0.000000 0.000000 78
12 0.625000 0.050000 0.092593 100
13 0.000000 0.000000 0.000000 95
14 0.015873 0.023810 0.019048 84
15 0.500000 0.011765 0.022989 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 0.850950 0.940662 0.893560 7095
20 0.964714 0.905908 0.934387 9597
avg / total 0.879179 0.878409 0.874666 17526
Classification report for turbine 24, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.918375 0.967793 0.942437 7545
20.0 0.991384 0.680192 0.806822 9981
avg / total 0.959954 0.804005 0.865204 17526
Classification report for turbine 24, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.909881 0.984891 0.945901 7545
20.0 0.992161 0.925659 0.957757 9981
avg / total 0.956739 0.951158 0.952653 17526
Classification report for turbine 24, turbine category 11
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.910150 0.984095 0.945679 7545
20.0 0.991183 0.889791 0.937754 9981
avg / total 0.956298 0.930389 0.941166 17526
Classification report for turbine 24, turbine category 12
precision recall f1-score support
19 0.906258 0.990457 0.946489 7545
20 0.992241 0.922553 0.956129 9981
avg / total 0.955225 0.951786 0.951979 17526
Classification report for turbine 24, turbine category 13
precision recall f1-score support
19 0.906258 0.990457 0.946489 7545
20 0.992241 0.922553 0.956129 9981
avg / total 0.955225 0.951786 0.951979 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.993334 0.997276 0.995301 16885
20.0 0.935943 0.820593 0.874480 641
avg / total 0.991235 0.990814 0.990882 17526
Classification report for turbine 24, turbine category 1
precision recall f1-score support
19 0.993046 0.997986 0.995510 16885
20 0.938959 0.815913 0.873122 641
avg / total 0.991068 0.991327 0.991034 17526
Classification report for turbine 24, turbine category 2
precision recall f1-score support
19 0.993046 0.997986 0.995510 16885
20 0.938959 0.815913 0.873122 641
avg / total 0.991068 0.991327 0.991034 17526
Classification report for turbine 24, turbine category 3
precision recall f1-score support
10 0.015666 0.068966 0.025532 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 0.058824 0.007194 0.012821 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 0.931423 0.984007 0.956993 15694
20 0.868766 0.558179 0.679671 593
avg / total 0.864001 0.900434 0.880184 17526
Classification report for turbine 24, turbine category 4
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 0.979168 0.996756 0.987884 16646
20 0.832432 0.793814 0.812665 582
avg / total 0.957646 0.973069 0.965268 17526
Classification report for turbine 24, turbine category 5
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 0.980349 0.996700 0.988457 16668
20 0.875676 0.804636 0.838654 604
avg / total 0.962534 0.975636 0.968969 17526
Classification report for turbine 24, turbine category 6
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 0.000000 0.000000 0.000000 92
14 0.000000 0.000000 0.000000 100
15 0.000000 0.000000 0.000000 92
16 0.000000 0.000000 0.000000 98
17 0.000000 0.000000 0.000000 95
18 0.000000 0.000000 0.000000 95
19 0.950018 0.996904 0.972896 16149
20 0.830601 0.797203 0.813559 572
avg / total 0.902484 0.944597 0.923009 17526
Classification report for turbine 24, turbine category 7
precision recall f1-score support
19 0.993046 0.997986 0.995510 16885
20 0.938959 0.815913 0.873122 641
avg / total 0.991068 0.991327 0.991034 17526
Classification report for turbine 24, turbine category 8
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 0.058824 0.027778 0.037736 36
19 0.978099 0.988690 0.983366 16623
20 0.924855 0.761905 0.835509 630
avg / total 0.961070 0.965195 0.962811 17526
Classification report for turbine 24, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.994107 0.989103 0.991599 16885
20.0 0.934263 0.731669 0.820647 641
avg / total 0.991918 0.979687 0.985346 17526
Classification report for turbine 24, turbine category 10
precision recall f1-score support
10 0.000000 0.000000 0.000000 98
11 0.000000 0.000000 0.000000 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 0.956869 0.994221 0.975188 16267
20 0.781753 0.806273 0.793824 542
avg / total 0.912307 0.947735 0.929683 17526
Classification report for turbine 24, turbine category 11
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 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 0.978569 0.988871 0.983693 16623
20 0.928571 0.835423 0.879538 638
avg / total 0.961952 0.968333 0.965028 17526
Classification report for turbine 24, turbine category 12
precision recall f1-score support
19 0.993046 0.997986 0.995510 16885
20 0.938959 0.815913 0.873122 641
avg / total 0.991068 0.991327 0.991034 17526
Classification report for turbine 24, turbine category 13
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 0.979433 0.997958 0.988609 16654
20 0.915619 0.814696 0.862215 626
avg / total 0.963406 0.977405 0.970218 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
19.0 0.994843 0.998721 0.996778 16418
20.0 0.981766 0.923285 0.951628 1108
avg / total 0.994016 0.993952 0.993924 17526
Classification report for turbine 24, turbine category 1
precision recall f1-score support
19 0.994843 0.998843 0.996839 16418
20 0.981766 0.923285 0.951628 1108
avg / total 0.994017 0.994066 0.993981 17526
Classification report for turbine 24, turbine category 2
precision recall f1-score support
19 0.994843 0.998843 0.996839 16418
20 0.981766 0.923285 0.951628 1108
avg / total 0.994017 0.994066 0.993981 17526
Classification report for turbine 24, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.993743 0.986661 0.990189 16418
20.0 0.967033 0.476534 0.638452 1108
avg / total 0.992054 0.954411 0.967952 17526
Classification report for turbine 24, turbine category 4
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 0.962118 0.998425 0.979935 15873
20 0.944177 0.917680 0.930740 1069
avg / total 0.928964 0.960231 0.944281 17526
Classification report for turbine 24, turbine category 5
precision recall f1-score support
10 0.071429 0.100000 0.083333 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 0.979667 0.998515 0.989002 16165
20 0.950195 0.908497 0.928878 1071
avg / total 0.961697 0.976549 0.969010 17526
Classification report for turbine 24, turbine category 6
precision recall f1-score support
10 0.045455 0.001942 0.003724 515
11 0.000000 0.000000 0.000000 561
12 0.000000 0.000000 0.000000 534
13 0.050000 0.001866 0.003597 536
14 0.000000 0.000000 0.000000 496
15 0.000000 0.000000 0.000000 498
16 0.400000 0.003992 0.007905 501
17 0.625000 0.019881 0.038536 503
18 0.000000 0.000000 0.000000 502
19 0.749407 0.996846 0.855596 12366
20 0.453994 0.873541 0.597472 514
avg / total 0.574319 0.729773 0.622766 17526
Classification report for turbine 24, turbine category 7
precision recall f1-score support
19 0.994843 0.998843 0.996839 16418
20 0.981766 0.923285 0.951628 1108
avg / total 0.994017 0.994066 0.993981 17526
Classification report for turbine 24, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.967102 0.993043 0.979901 15956
20 0.848544 0.907580 0.877070 963
avg / total 0.927093 0.953954 0.940313 17526
Classification report for turbine 24, turbine category 9
precision recall f1-score support
10 0.030303 0.007874 0.012500 127
11 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 106
17 0.000000 0.000000 0.000000 107
18 0.000000 0.000000 0.000000 108
19 0.948385 0.998083 0.972599 15648
20 0.781405 0.877778 0.826792 900
avg / total 0.887107 0.936266 0.910929 17526
Classification report for turbine 24, turbine category 10
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 97
17 0.000000 0.000000 0.000000 108
18 0.000000 0.000000 0.000000 107
19 0.941420 0.996330 0.968097 15533
20 0.870441 0.918946 0.894036 987
avg / total 0.883385 0.934783 0.908357 17526
Classification report for turbine 24, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 19
11 0.000000 0.000000 0.000000 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 0.948529 0.995270 0.971338 15646
20 0.906578 0.928711 0.917511 1024
avg / total 0.899750 0.942771 0.920751 17526
Classification report for turbine 24, turbine category 12
precision recall f1-score support
19 0.994843 0.998843 0.996839 16418
20 0.981766 0.923285 0.951628 1108
avg / total 0.994017 0.994066 0.993981 17526
Classification report for turbine 24, turbine category 13
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.994839 0.997990 0.996412 16418
20.0 0.981696 0.919675 0.949674 1108
avg / total 0.994008 0.993039 0.993457 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.988837 0.992834 0.990831 16327
20 0.843373 0.774908 0.807692 813
avg / total 0.981937 0.982497 0.982144 17140
Classification report for turbine 25, turbine category 1
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.988833 0.992528 0.990677 16327
20.0 0.843164 0.773678 0.806928 813
avg / total 0.981924 0.982147 0.981961 17140
Classification report for turbine 25, turbine category 2
precision recall f1-score support
19 0.988837 0.992834 0.990831 16327
20 0.843373 0.774908 0.807692 813
avg / total 0.981937 0.982497 0.982144 17140
Classification report for turbine 25, turbine category 3
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989000 0.991180 0.990089 16327
20.0 0.845430 0.773678 0.807964 813
avg / total 0.982190 0.980863 0.981450 17140
Classification report for turbine 25, turbine category 4
precision recall f1-score support
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988994 0.990629 0.989811 16327
20.0 0.829620 0.778598 0.803299 813
avg / total 0.981434 0.980572 0.980964 17140
Classification report for turbine 25, turbine category 5
precision recall f1-score support
19 0.988837 0.992834 0.990831 16327
20 0.843373 0.774908 0.807692 813
avg / total 0.981937 0.982497 0.982144 17140
Classification report for turbine 25, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991441 0.936547 0.963213 16327
20.0 0.779904 0.400984 0.529651 813
avg / total 0.981408 0.911144 0.942647 17140
Classification report for turbine 25, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.988793 0.988914 0.988854 16327
20.0 0.841121 0.774908 0.806658 813
avg / total 0.981788 0.978763 0.980211 17140
Classification report for turbine 25, turbine category 8
precision recall f1-score support
10 0.318182 0.037234 0.066667 188
11 0.000000 0.000000 0.000000 147
12 0.000000 0.000000 0.000000 148
13 0.021277 0.006536 0.010000 153
14 0.000000 0.000000 0.000000 143
15 0.000000 0.000000 0.000000 151
16 0.000000 0.000000 0.000000 135
17 0.000000 0.000000 0.000000 146
18 0.090909 0.007634 0.014085 131
19 0.919552 0.986214 0.951717 15160
20 0.615495 0.672414 0.642697 638
avg / total 0.840611 0.897841 0.866627 17140
Classification report for turbine 25, turbine category 9
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 0.972843 0.992343 0.982496 16064
20 0.534045 0.702988 0.606980 569
avg / total 0.929499 0.953384 0.940968 17140
Classification report for turbine 25, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989705 0.983340 0.986513 16327
20.0 0.818418 0.776138 0.796717 813
avg / total 0.981581 0.973512 0.977510 17140
Classification report for turbine 25, turbine category 11
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.000000 0.000000 0.000000 129
15 0.021739 0.007812 0.011494 128
16 0.014706 0.007752 0.010152 129
17 0.000000 0.000000 0.000000 115
18 0.000000 0.000000 0.000000 126
19 0.937304 0.968578 0.952684 15435
20 0.693299 0.763121 0.726536 705
avg / total 0.872856 0.903734 0.887962 17140
Classification report for turbine 25, turbine category 12
precision recall f1-score support
19 0.988837 0.992834 0.990831 16327
20 0.843373 0.774908 0.807692 813
avg / total 0.981937 0.982497 0.982144 17140
Classification report for turbine 25, turbine category 13
precision recall f1-score support
19 0.988837 0.992834 0.990831 16327
20 0.843373 0.774908 0.807692 813
avg / total 0.981937 0.982497 0.982144 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.990207 0.995833 0.993012 15839
20 0.945500 0.880092 0.911624 1301
avg / total 0.986813 0.987048 0.986834 17140
Classification report for turbine 25, turbine category 1
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 0.973947 0.997364 0.985516 15555
20 0.787428 0.876611 0.829630 1086
avg / total 0.933774 0.960677 0.946948 17140
Classification report for turbine 25, turbine category 2
precision recall f1-score support
19 0.990207 0.995833 0.993012 15839
20 0.945500 0.880092 0.911624 1301
avg / total 0.986813 0.987048 0.986834 17140
Classification report for turbine 25, turbine category 3
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 0.959300 0.995691 0.977157 15316
20 0.729529 0.870681 0.793879 1013
avg / total 0.900330 0.941190 0.920090 17140
Classification report for turbine 25, turbine category 4
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990142 0.995581 0.992854 15839
20.0 0.945183 0.874712 0.908583 1301
avg / total 0.986729 0.986406 0.986457 17140
Classification report for turbine 25, turbine category 5
precision recall f1-score support
19 0.990207 0.995833 0.993012 15839
20 0.945500 0.880092 0.911624 1301
avg / total 0.986813 0.987048 0.986834 17140
Classification report for turbine 25, turbine category 6
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.989997 0.981059 0.985508 15839
20.0 0.945885 0.644889 0.766910 1301
avg / total 0.986649 0.955543 0.968916 17140
Classification report for turbine 25, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.990200 0.995139 0.992663 15839
20.0 0.945500 0.880092 0.911624 1301
avg / total 0.986807 0.986406 0.986512 17140
Classification report for turbine 25, turbine category 8
precision recall f1-score support
10 0.051282 0.008230 0.014184 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 0.960756 0.991806 0.976034 15378
20 0.772647 0.809302 0.790550 1075
avg / total 0.911176 0.940723 0.925481 17140
Classification report for turbine 25, turbine category 9
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
19.0 0.990178 0.992929 0.991552 15839
20.0 0.944962 0.857802 0.899275 1301
avg / total 0.986746 0.982672 0.984547 17140
Classification report for turbine 25, turbine category 10
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 0.976337 0.993405 0.984797 15617
20 0.924855 0.879811 0.901771 1273
avg / total 0.958273 0.970478 0.964267 17140
Classification report for turbine 25, turbine category 11
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 0.015152 0.018182 0.016529 55
17 0.027778 0.016667 0.020833 60
18 0.000000 0.000000 0.000000 58
19 0.963684 0.985496 0.974468 15375
20 0.933278 0.881712 0.906763 1285
avg / total 0.934562 0.950233 0.942228 17140
Classification report for turbine 25, turbine category 12
precision recall f1-score support
19 0.990207 0.995833 0.993012 15839
20 0.945500 0.880092 0.911624 1301
avg / total 0.986813 0.987048 0.986834 17140
Classification report for turbine 25, turbine category 13
precision recall f1-score support
19 0.990207 0.995833 0.993012 15839
20 0.945500 0.880092 0.911624 1301
avg / total 0.986813 0.987048 0.986834 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 0
precision recall f1-score support
19 0.958494 0.997288 0.977506 14750
20 0.977691 0.733473 0.838154 2390
avg / total 0.961170 0.960502 0.958075 17140
Classification report for turbine 25, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.958548 0.995525 0.976687 14750
20.0 0.977866 0.720921 0.829961 2390
avg / total 0.961242 0.957235 0.956228 17140
Classification report for turbine 25, turbine category 2
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 0.943246 0.997313 0.969526 14515
20 0.970998 0.732128 0.834812 2378
avg / total 0.933504 0.946149 0.936865 17140
Classification report for turbine 25, turbine category 3
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.958527 0.994983 0.976415 14750
20.0 0.977578 0.729707 0.835649 2390
avg / total 0.961183 0.957993 0.956786 17140
Classification report for turbine 25, turbine category 4
precision recall f1-score support
19 0.958491 0.997220 0.977472 14750
20 0.977146 0.733473 0.837954 2390
avg / total 0.961092 0.960443 0.958018 17140
Classification report for turbine 25, turbine category 5
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 0.938750 0.997300 0.967140 14446
20 0.891801 0.715436 0.793942 2235
avg / total 0.907489 0.933839 0.918656 17140
Classification report for turbine 25, turbine category 6
precision recall f1-score support
10 0.012456 0.225806 0.023609 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 0.914821 0.988601 0.950281 14036
20 0.953077 0.525223 0.677234 2359
avg / total 0.880345 0.882264 0.871439 17140
Classification report for turbine 25, turbine category 7
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.959725 0.995186 0.977134 14750
20.0 0.976322 0.741841 0.843081 2390
avg / total 0.962040 0.959860 0.958442 17140
Classification report for turbine 25, turbine category 8
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 0.938296 0.994624 0.965640 14509
20 0.973105 0.667505 0.791843 2385
avg / total 0.929673 0.934831 0.927597 17140
Classification report for turbine 25, turbine category 9
precision recall f1-score support
10 0.333333 0.111111 0.166667 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 0.943209 0.997380 0.969539 14504
20 0.970556 0.735269 0.836686 2376
avg / total 0.932867 0.945974 0.936502 17140
Classification report for turbine 25, turbine category 10
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 0.941953 0.995647 0.968056 14473
20 0.971063 0.734119 0.836128 2377
avg / total 0.930053 0.942532 0.933381 17140
Classification report for turbine 25, turbine category 11
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 0.944077 0.992009 0.967449 14516
20 0.976058 0.734702 0.838355 2386
avg / total 0.935419 0.942415 0.936045 17140
Classification report for turbine 25, turbine category 12
precision recall f1-score support
19 0.958494 0.997288 0.977506 14750
20 0.977691 0.733473 0.838154 2390
avg / total 0.961170 0.960502 0.958075 17140
Classification report for turbine 25, turbine category 13
precision recall f1-score support
19 0.958494 0.997288 0.977506 14750
20 0.977691 0.733473 0.838154 2390
avg / total 0.961170 0.960502 0.958075 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1113: UndefinedMetricWarning: Precision and F-score 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 0
precision recall f1-score support
19 0.986675 0.994388 0.990516 14967
20 0.959144 0.907501 0.932608 2173
avg / total 0.983184 0.983372 0.983175 17140
Classification report for turbine 25, turbine category 1
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 0.934612 0.992877 0.962864 14180
20 0.587278 0.866182 0.699971 1375
avg / total 0.820321 0.890898 0.852735 17140
Classification report for turbine 25, turbine category 2
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 0.968041 0.994347 0.981018 14683
20 0.953816 0.907913 0.930299 2161
avg / total 0.949530 0.966278 0.957682 17140
Classification report for turbine 25, turbine category 3
precision recall f1-score support
10 0.050000 0.052632 0.051282 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 0.967781 0.992371 0.979921 14680
20 0.940943 0.888472 0.913955 2134
avg / total 0.946143 0.960677 0.953184 17140
Classification report for turbine 25, turbine category 4
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 0.957369 0.994353 0.975511 14522
20 0.938746 0.910420 0.924366 2121
avg / total 0.927304 0.955134 0.940896 17140
Classification report for turbine 25, turbine category 5
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
19.0 0.986508 0.991715 0.989105 14967
20.0 0.946633 0.685688 0.795303 2173
avg / total 0.981453 0.952917 0.964535 17140
Classification report for turbine 25, turbine category 6
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 0.250000 0.027778 0.050000 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 0.971817 0.990090 0.980868 14732
20 0.938412 0.820888 0.875725 2116
avg / total 0.951662 0.952392 0.951283 17140
Classification report for turbine 25, turbine category 7
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 0.975201 0.994254 0.984635 14792
20 0.908208 0.909091 0.908649 2057
avg / total 0.950604 0.967153 0.958799 17140
Classification report for turbine 25, turbine category 8
precision recall f1-score support
10 0.000000 0.000000 0.000000 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 0.953226 0.992048 0.972250 14462
20 0.939865 0.852374 0.893984 2127
avg / total 0.920924 0.942824 0.931282 17140
Classification report for turbine 25, turbine category 9
precision recall f1-score support
10 0.269231 0.013725 0.026119 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 0.901334 0.997796 0.947115 13614
20 0.763744 0.900175 0.826367 1713
avg / total 0.800254 0.882905 0.835643 17140
Classification report for turbine 25, turbine category 10
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 0.947061 0.992690 0.969339 14363
20 0.925762 0.903118 0.914300 2085
avg / total 0.906234 0.941715 0.923508 17140
Classification report for turbine 25, turbine category 11
precision recall f1-score support
10 0.333333 0.071429 0.117647 14
11 0.000000 0.000000 0.000000 56
12 0.000000 0.000000 0.000000 60
13 0.062500 0.015873 0.025316 63
14 0.000000 0.000000 0.000000 85
15 0.000000 0.000000 0.000000 97
16 0.000000 0.000000 0.000000 100
17 0.000000 0.000000 0.000000 97
18 0.000000 0.000000 0.000000 97
19 0.948193 0.989012 0.968172 14379
20 0.925656 0.910612 0.918072 2092
avg / total 0.908935 0.940957 0.924457 17140
Classification report for turbine 25, turbine category 12
precision recall f1-score support
19 0.986675 0.994388 0.990516 14967
20 0.959144 0.907501 0.932608 2173
avg / total 0.983184 0.983372 0.983175 17140
Classification report for turbine 25, turbine category 13
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 0.907916 0.997669 0.950679 13727
20 0.805447 0.911894 0.855372 1816
avg / total 0.812465 0.895624 0.852002 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score 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 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 0.976688 0.998662 0.987552 15690
20 0.918870 0.892826 0.905660 1129
avg / total 0.954588 0.972987 0.963663 17140
Classification report for turbine 25, turbine category 1
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.992376 0.996674 0.994520 15934
20.0 0.978571 0.795191 0.877402 1206
avg / total 0.991405 0.982497 0.986280 17140
Classification report for turbine 25, turbine category 2
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.991939 0.996172 0.994051 15934
20.0 0.980769 0.888060 0.932115 1206
avg / total 0.991153 0.988565 0.989693 17140
Classification report for turbine 25, turbine category 3
precision recall f1-score support
10 0.071429 0.012658 0.021505 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 0.961815 0.996245 0.978727 15448
20 0.845941 0.880884 0.863059 1041
avg / total 0.918575 0.951459 0.934628 17140
Classification report for turbine 25, turbine category 4
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
19.0 0.992019 0.998494 0.995246 15934
20.0 0.980769 0.888060 0.932115 1206
avg / total 0.991227 0.990723 0.990804 17140
Classification report for turbine 25, turbine category 5
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
19.0 0.991834 0.990900 0.991367 15934
20.0 0.980857 0.892206 0.934433 1206
avg / total 0.991061 0.983956 0.987361 17140
Classification report for turbine 25, turbine category 6
precision recall f1-score support
10 0.041096 0.127660 0.062176 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 0.887758 0.996494 0.938989 14263
20 0.903766 0.774194 0.833977 1116
avg / total 0.797703 0.879988 0.835848 17140
Classification report for turbine 25, turbine category 7
precision recall f1-score support
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
19.0 0.991894 0.998368 0.995121 15934
20.0 0.979798 0.884743 0.929847 1206
avg / total 0.991043 0.990373 0.990528 17140
Classification report for turbine 25, turbine category 8
precision recall f1-score support
10 0.103448 0.007463 0.013921 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 0.893002 0.996864 0.942079 14350
20 0.676664 0.850412 0.753653 849
avg / total 0.783585 0.876896 0.826388 17140
Classification report for turbine 25, turbine category 9
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 0.973978 0.997571 0.985634 15646
20 0.977695 0.875208 0.923617 1202
avg / total 0.957646 0.971995 0.964493 17140
Classification report for turbine 25, turbine category 10
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991577 0.997364 0.994462 15934
20.0 0.979611 0.876451 0.925164 1206
avg / total 0.990735 0.988856 0.989586 17140
Classification report for turbine 25, turbine category 11
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 0.000000 0.000000 0.000000 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 0.978993 0.995613 0.987233 15728
20 0.811634 0.872890 0.841148 1007
avg / total 0.946028 0.964877 0.955323 17140
Classification report for turbine 25, turbine category 12
precision recall f1-score support
19 0.991897 0.998682 0.995278 15934
20 0.980857 0.892206 0.934433 1206
avg / total 0.991120 0.991190 0.990997 17140
Classification report for turbine 25, turbine category 13
precision recall f1-score support
10.0 0.000000 0.000000 0.000000 0
11.0 0.000000 0.000000 0.000000 0
12.0 0.000000 0.000000 0.000000 0
13.0 0.000000 0.000000 0.000000 0
14.0 0.000000 0.000000 0.000000 0
15.0 0.000000 0.000000 0.000000 0
16.0 0.000000 0.000000 0.000000 0
17.0 0.000000 0.000000 0.000000 0
18.0 0.000000 0.000000 0.000000 0
19.0 0.991942 0.996548 0.994240 15934
20.0 0.979265 0.861526 0.916630 1206
avg / total 0.991050 0.987048 0.988779 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)
C:\Program Files\Anaconda3\lib\site-packages\sklearn\metrics\classification.py:1115: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
------------------------------------------------------------------------