10414900
1
Jan van Rijn
9956
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8252644
C
123.37837491865163
16360
cache_size
200
16360
class_weight
null
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coef0
0.0
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decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.0005536818771968
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
33251
16360
shrinking
true
16360
tol
0.06297302366537236
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
21751609
description
https://api.openml.org/data/download/21751609/description.xml
-1
21751610
predictions
https://api.openml.org/data/download/21751610/predictions.arff
area_under_roc_curve
0.578016424510424 [0.5,0.589328,0.530934,0.5625,0.553656,0.589012,0.554288,0.530618,0.5625,0.55713,0.622473,0.560921,0.592802,0.622157,0.587433,0.622789,0.528723,0.61205,0.561552,0.624052,0.614577,0.492735,0.554288,0.554288,0.498105,0.590591,0.591223,0.5,0.593434,0.591855,0.498105,0.621526,0.528091,0.590907,0.5,0.524933,0.61584,0.58996,0.581432,0.530618,0.561552,0.591855,0.529671,0.528407,0.559341,0.617419,0.553656,0.523669,0.614261,0.613629,0.622157,0.609839,0.612997,0.587749,0.606364,0.559657,0.623421,0.586801,0.612366,0.59375,0.624368,0.591855,0.623421,0.530302,0.584274,0.560921,0.623421,0.497789,0.621526,0.529671,0.617735,0.561552,0.593434,0.589012,0.591539,0.592171,0.61963,0.621841,0.591539,0.620578,0.588696,0.558394,0.49621,0.61963,0.560605,0.593434,0.588696,0.556815,0.617104,0.591539,0.5625,0.495894,0.622789,0.624052,0.589012,0.617104,0.589012,0.589644,0.621526,0.591539]
average_cost
0
kappa
0.1560328490208465
kb_relative_information_score
0.16263416484852922
mean_absolute_error
0.016710444027516896
mean_prior_absolute_error
0.019799992711748222
number_of_instances
1599 [15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
predictive_accuracy
0.16447779862414008
prior_entropy
6.643827772868604
recall
0.16447779862414008 [0,0.1875,0.0625,0.125,0.125,0.1875,0.125,0.0625,0.125,0.125,0.25,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.125,0.25,0.25,0,0.125,0.125,0,0.1875,0.1875,0,0.1875,0.1875,0,0.25,0.0625,0.1875,0,0.0625,0.25,0.1875,0.1875,0.0625,0.125,0.1875,0.0625,0.0625,0.125,0.25,0.125,0.0625,0.25,0.25,0.25,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.25,0.1875,0.25,0.1875,0.25,0.0625,0.1875,0.125,0.25,0,0.25,0.0625,0.25,0.125,0.1875,0.1875,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.1875,0.125,0,0.25,0.125,0.1875,0.1875,0.125,0.25,0.1875,0.125,0,0.25,0.25,0.1875,0.25,0.1875,0.1875,0.25,0.1875]
relative_absolute_error
0.8439621302285552
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.1292688826729654
root_relative_squared_error
1.2992014074139637
total_cost
0
area_under_roc_curve
0.5849056603773584 [0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.974843,0.5,0.5,0.984277,0.5,0.5,0.5,0.5,0.987421,0.993711,0.5,0.5,0.5,0.5,0.5,0.484277,0.490566,0.5,0.5,0.977987,0.993711,0.5,0.5,0.5,0.990566,0.496855,0.5,0.490566,0.990566,0.5,0.987421,0.5,0.5,0.984277,0.5,0.962264,0.5,0.95283,0.5,0.5,0.971698,0.981132,1,1,0.5,0.996855,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,0.996855,0.987421,0.984277,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.990566,0.990566,0.5,0.993711]
area_under_roc_curve
0.5754716981132074 [0.5,0.484277,0.496855,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.5,0.974843,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.987421,0.990566,0.5,0.5,0.5,0.496855,0.493711,0.5,0.493711,0.977987,0.5,0.487421,0.5,0.5,0.996855,0.5,0.968553,0.5,0.949686,0.5,0.984277,0.974843,0.974843,1,0.996855,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,1,0.971698,0.5,0.5,0.5,0.5,0.496855,0.993711,1,0.5,0.484277,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.996855,0.5,0.5,0.481132,0.984277,0.5,0.493711]
area_under_roc_curve
0.5786163522012576 [0.5,0.987421,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.981132,0.493711,0.5,0.996855,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.474843,0.971698,0.5,0.971698,0.5,0.5,0.996855,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.965409,0.990566,0.5,0.5,0.5,0.943396,0.5,1,0.493711,0.959119,0.5,0.5,0.990566,0.996855,0.996855,0.5,0.5,0.5,0.490566,0.981132,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.990566,0.5,0.5,0.496855,0.5,0.490566,0.5,0.990566,0.5,0.5,0.487421,0.5,0.490566,1,0.5,0.5,1,0.5,0.990566,0.984277,0.5,0.5,0.996855]
area_under_roc_curve
0.5817610062893078 [0.5,0.990566,0.5,0.5,0.5,0.493711,0.5,0.5,1,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.487421,0.490566,0.5,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.471698,0.971698,0.5,0.465409,0.5,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,0.5,0.955975,0.971698,1,0.5,0.5,0.5,0.5,0.5,1,0.990566,0.959119,1,0.5,0.5,0.993711,0.496855,0.5,0.496855,0.5,0.493711,0.990566,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.993711,0.5,0.5,0.968553,0.5,0.493711,0.5,0.996855,0.5,0.5,0.987421,0.5,0.996855,1,0.5,0.5,1,0.493711,0.968553,0.5,0.5,0.5,0.993711]
area_under_roc_curve
0.5691823899371066 [0.5,0.5,0.5,1,0.971698,0.987421,0.496855,0.5,0.5,0.496855,0.5,0.496855,0.496855,0.5,0.477987,0.987421,0.5,0.5,0.5,0.996855,0.5,0.481132,0.5,0.471698,0.496855,0.5,0.5,0.5,0.5,0.5,0.490566,0.996855,0.5,0.5,0.5,0.996855,0.5,0.5,0.959119,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.968553,0.971698,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.471698,0.496855,0.5,0.5,0.5,0.5,0.974843,0.996855,0.5,0.5,0.5,1,0.987421,0.993711,0.5,0.5,0.5,0.5,0.493711,0.990566,0.5,0.5,0.5,0.484277,0.5,0.993711,0.5,0.5,0.5,0.993711,0.993711,0.981132,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5880503144654088 [0.5,0.5,0.5,0.5,0.965409,0.974843,0.496855,0.5,1,0.993711,0.5,0.990566,0.993711,0.5,0.984277,0.990566,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.977987,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.987421,0.5,0.5,0.5,0.493711,0.5,0.5,0.981132,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.977987,0.5,0.943396,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.968553,1,0.5,0.5,0.5,0.5,0.987421,0.493711,0.5,0.5,0.5,1,0.987421,0.990566,0.5,0.5,0.5,0.493711,0.5,0.984277,0.5,0.5,0.5,0.984277,0.5,0.996855,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.581761006289308 [0.5,0.5,0.5,0.5,0.493711,0.5,0.959119,0.5,0.5,0.962264,0.5,0.5,1,0.990566,0.987421,1,0.5,0.5,1,0.5,0.5,0.493711,0.487421,0.5,0.5,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.990566,0.5,0.5,0.974843,0.5,0.981132,0.5,0.5,0.990566,0.5,0.474843,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.990566,0.996855,0.5,0.5,0.5,0.977987,1,0.5,0.5,0.993711,0.996855,0.984277,0.5,0.5,0.5,0.5,0.496855,0.5,0.987421,0.5,1,0.984277,0.5,0.974843,0.5,0.5,0.487421,0.5,0.5,0.965409,0.5,0.5,0.5,0.993711,0.5]
area_under_roc_curve
0.5628930817610063 [0.5,0.5,0.5,1,0.481132,0.5,0.965409,0.5,0.5,0.493711,0.5,0.5,1,0.993711,0.987421,1,0.484277,0.5,0.496855,0.5,0.974843,0.455975,0.955975,0.5,0.5,0.490566,0.5,0.5,1,0.990566,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.943396,0.5,0.984277,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.996855,0.5,0.5,0.490566,0.987421,0.5,0.5,0.5,0.996855,0.487421,0.987421,0.5,0.5,0.5,0.5,0.993711,0.5,0.984277,0.5,0.496855,0.493711,0.5,0.987421,0.5,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5]
area_under_roc_curve
0.5817610062893078 [0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.990566,0.5,0.5,0.5,0.959119,0.5,0.5,0.959119,0.5,0.984277,0.5,0.5,1,0.5,0.5,0.5,0.993711,0.5,0.5,0.496855,0.993711,0.5,0.5,0.5,0.487421,0.5,0.5,1,0.5,0.5,0.487421,0.990566,0.987421,0.968553,0.477987,0.5,0.5,0.5,0.971698,0.971698,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.493711,0.5,0.5,0.5,0.993711,0.993711,0.5,0.974843,0.5,0.5,0.5,1,0.977987,0.5,0.981132,0.5,0.5,0.490566,0.990566,0.5,0.5,0.5,0.5,0.493711,0.990566,0.5]
area_under_roc_curve
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average_cost
0
average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.12578616352201258
kappa
0.16352201257861634
kappa
0.18354430379746836
kb_relative_information_score
0.17317133596273193
kb_relative_information_score
0.1543834785208678
kb_relative_information_score
0.16064609766815585
kb_relative_information_score
0.1669087168154439
kb_relative_information_score
0.14185824022629168
kb_relative_information_score
0.17944791256091228
kb_relative_information_score
0.16692164366872728
kb_relative_information_score
0.12934283699217242
kb_relative_information_score
0.1669216436687273
kb_relative_information_score
0.18689267884483865
mean_absolute_error
0.01650000000000001
mean_absolute_error
0.01687500000000001
mean_absolute_error
0.01675000000000001
mean_absolute_error
0.01662500000000001
mean_absolute_error
0.017125000000000012
mean_absolute_error
0.01637500000000001
mean_absolute_error
0.01662500000000001
mean_absolute_error
0.017375000000000012
mean_absolute_error
0.01662500000000001
mean_absolute_error
0.016226415094339634
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.01980002942907592
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.019800029429075917
mean_prior_absolute_error
0.01980002942907591
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.01979995585638609
mean_prior_absolute_error
0.019799955856386102
mean_prior_absolute_error
0.01979995631910742
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,1,2,2,2,2,1,1,2,2,1,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,2,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1]
number_of_instances
160 [2,1,1,2,2,2,2,1,2,2,1,2,2,2,2,2,2,1,2,2,2,2,2,2,2,2,1,2,2,2,2,2,1,1,1,2,1,1,2,2,2,1,1,2,1,1,2,1,2,2,1,2,1,2,1,2,1,1,1,1,1,2,1,1,2,2,2,1,1,2,2,2,1,1,2,2,2,2,1,1,1,2,1,2,1,2,2,2,2,2,2,2,1,1,2,2,1,1,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,1,1,2,2,2,1,2,1,1,1,1,2,1,1,1,2,2,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,2,1,1,2,2,1]
number_of_instances
160 [2,1,2,2,2,1,2,2,1,2,2,1,2,2,2,2,2,2,2,1,2,2,2,1,1,2,1,2,2,2,2,1,2,2,2,1,1,2,1,1,2,1,1,2,2,2,2,2,1,1,1,2,2,2,2,2,1,1,1,1,2,1,1,1,2,1,2,1,1,2,2,2,2,1,2,2,2,1,2,2,1,2,1,2,1,2,2,1,2,1,1,2,2,1,1,1,2,2,2,1]
number_of_instances
160 [2,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,2,2,1,2,2,1,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,2,1,1,2,2,2,1,2,1,1,2,2,1,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,1,1,2,1,1,2,1,1,2,1,1,2,2,2,1,2,1,2,1,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,1,2,2,2,2,2,2,2,2,1,1,2,1,2,1,2,2,2,2,2,2,2,1,2,2,1,1,2,2,2,2,1,1,2,2,2,1,1,1,2,2,2,1,2,1,2,2,2,1,2,1,1,2,2,2,1,1,2,2,2,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,1,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,1,2,2,2,1,2]
number_of_instances
160 [1,2,2,1,1,2,1,2,2,1,2,2,1,1,1,1,1,2,1,2,1,1,1,2,2,1,2,1,1,1,1,2,2,2,2,2,2,2,2,2,1,2,2,1,2,2,1,2,2,2,2,1,2,1,2,1,2,2,2,2,2,2,2,2,1,2,1,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,1,2,1,1,2,1,2,2,1,2,2,2,2,2,2,1,2]
number_of_instances
160 [1,2,1,2,2,2,2,2,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,1,1,2,2,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,1,2,2,2,1,1,2,1,2,2,1,1,2,2,2,2,1,1,2]
number_of_instances
159 [1,2,1,2,2,2,2,1,2,2,1,2,2,1,2,2,1,1,1,2,1,2,1,2,2,1,2,2,1,1,2,2,1,1,1,2,2,1,2,2,1,2,2,1,1,1,1,1,2,2,2,2,1,2,1,1,2,2,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,2,1,2,2,2,1,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,2,1,1,1,2]
predictive_accuracy
0.175
predictive_accuracy
0.15625
predictive_accuracy
0.1625
predictive_accuracy
0.16875
predictive_accuracy
0.14375
predictive_accuracy
0.18125
predictive_accuracy
0.16875
predictive_accuracy
0.13125
predictive_accuracy
0.16875
predictive_accuracy
0.18867924528301888
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.644100581449517
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.643553938691703
prior_entropy
6.64355737669647
recall
0.175 [0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,1,0,1,0,0,1,0,1,0,1,0,0,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,1]
recall
0.15625 [0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,1,0,1,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0]
recall
0.1625 [0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,1,0,0,1]
recall
0.16875 [0,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,1,0,0,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,1,1,0,0,1,0,1,0,0,0,1]
recall
0.14375 [0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0]
recall
0.18125 [0,0,0,0,1,1,0,0,1,1,0,1,1,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,1,0,0,0,0]
recall
0.16875 [0,0,0,0,0,0,1,0,0,1,0,0,1,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,1,1,0,0,1,1,1,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,1,0,0,0,1,0]
recall
0.13125 [0,0,0,1,0,0,1,0,0,0,0,0,1,1,1,1,0,0,0,0,1,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,1,0,1,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0]
recall
0.16875 [0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,1,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0,1,1,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,1,0,1,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,1,0]
recall
0.18867924528301888 [0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,1,0,1,0,0,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,1,1,1,0]
relative_absolute_error
0.8333320947377034
relative_absolute_error
0.8522714605271966
relative_absolute_error
0.8459583385973657
relative_absolute_error
0.8396452166675347
relative_absolute_error
0.8648977043868594
relative_absolute_error
0.8270220458455504
relative_absolute_error
0.8396483366218184
relative_absolute_error
0.8775272089506221
relative_absolute_error
0.8396483366218179
relative_absolute_error
0.8195177217982428
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949890883178135
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.09949853911503082
root_mean_prior_squared_error
0.0994985414402977
root_mean_squared_error
0.12845232578665133
root_mean_squared_error
0.12990381056766584
root_mean_squared_error
0.12942179105544788
root_mean_squared_error
0.12893796958227632
root_mean_squared_error
0.13086252328302406
root_mean_squared_error
0.12796483892069732
root_mean_squared_error
0.12893796958227632
root_mean_squared_error
0.1318142632646407
root_mean_squared_error
0.12893796958227632
root_mean_squared_error
0.12738294663862834
root_relative_squared_error
1.2909923062957436
root_relative_squared_error
1.305580253018541
root_relative_squared_error
1.300735782683365
root_relative_squared_error
1.2958732019892434
root_relative_squared_error
1.3152156623573417
root_relative_squared_error
1.286097665944185
root_relative_squared_error
1.295878017195915
root_relative_squared_error
1.3247859158238446
root_relative_squared_error
1.295878017195915
root_relative_squared_error
1.2802493865205269
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
697.6989639999829
usercpu_time_millis
697.5249540000732
usercpu_time_millis
697.6357229998484
usercpu_time_millis
696.887383999865
usercpu_time_millis
698.5605880001913
usercpu_time_millis
700.383611999996
usercpu_time_millis
697.6485680002042
usercpu_time_millis
700.7551820001936
usercpu_time_millis
698.6291569999139
usercpu_time_millis
703.1247830000211
usercpu_time_millis_testing
63.261781999926825
usercpu_time_millis_testing
62.56018700014465
usercpu_time_millis_testing
62.72267400004239
usercpu_time_millis_testing
62.70216299981257
usercpu_time_millis_testing
62.80868500016368
usercpu_time_millis_testing
62.534556999935376
usercpu_time_millis_testing
62.60766200011858
usercpu_time_millis_testing
64.69894600013504
usercpu_time_millis_testing
62.73892299986983
usercpu_time_millis_testing
62.62946600008945
usercpu_time_millis_training
634.437182000056
usercpu_time_millis_training
634.9647669999285
usercpu_time_millis_training
634.913048999806
usercpu_time_millis_training
634.1852210000525
usercpu_time_millis_training
635.7519030000276
usercpu_time_millis_training
637.8490550000606
usercpu_time_millis_training
635.0409060000857
usercpu_time_millis_training
636.0562360000586
usercpu_time_millis_training
635.8902340000441
usercpu_time_millis_training
640.4953169999317
wall_clock_time_millis
697.7145671844482
wall_clock_time_millis
697.5347995758057
wall_clock_time_millis
697.6521015167236
wall_clock_time_millis
696.9072818756104
wall_clock_time_millis
698.570728302002
wall_clock_time_millis
700.4013061523438
wall_clock_time_millis
697.6737976074219
wall_clock_time_millis
700.7706165313721
wall_clock_time_millis
698.6467838287354
wall_clock_time_millis
703.1574249267578
wall_clock_time_millis_testing
63.265085220336914
wall_clock_time_millis_testing
62.563419342041016
wall_clock_time_millis_testing
62.72554397583008
wall_clock_time_millis_testing
62.705278396606445
wall_clock_time_millis_testing
62.81137466430664
wall_clock_time_millis_testing
62.53790855407715
wall_clock_time_millis_testing
62.61086463928223
wall_clock_time_millis_testing
64.70155715942383
wall_clock_time_millis_testing
62.741994857788086
wall_clock_time_millis_testing
62.63375282287598
wall_clock_time_millis_training
634.4494819641113
wall_clock_time_millis_training
634.9713802337646
wall_clock_time_millis_training
634.9265575408936
wall_clock_time_millis_training
634.2020034790039
wall_clock_time_millis_training
635.7593536376953
wall_clock_time_millis_training
637.8633975982666
wall_clock_time_millis_training
635.0629329681396
wall_clock_time_millis_training
636.0690593719482
wall_clock_time_millis_training
635.9047889709473
wall_clock_time_millis_training
640.5236721038818