10412123
1
Jan van Rijn
9956
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8249887
C
0.13596581269056157
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
0.395145144318553
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
2204
16360
shrinking
false
16360
tol
0.0012282787010128315
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
21746039
description
https://api.openml.org/data/download/21746039/description.xml
-1
21746040
predictions
https://api.openml.org/data/download/21746040/predictions.arff
area_under_roc_curve
0.5783322804801017 [0.5,0.589328,0.530934,0.5625,0.553656,0.589328,0.554604,0.530618,0.5625,0.55713,0.622473,0.560605,0.592802,0.622157,0.587749,0.622789,0.528723,0.61205,0.561552,0.624052,0.614577,0.493051,0.554288,0.554604,0.498105,0.590591,0.591223,0.5,0.593118,0.591855,0.498105,0.621526,0.528091,0.590907,0.5,0.524617,0.61584,0.58996,0.581432,0.530618,0.561552,0.591855,0.529671,0.528407,0.559341,0.617419,0.553656,0.523985,0.613945,0.613313,0.622157,0.609839,0.612682,0.587749,0.606996,0.559657,0.623105,0.587117,0.612997,0.59375,0.624368,0.591855,0.623421,0.530302,0.583958,0.560289,0.623421,0.497789,0.621841,0.529671,0.617735,0.561552,0.593434,0.588696,0.591539,0.592171,0.61963,0.621526,0.591539,0.620578,0.588696,0.558394,0.49621,0.61963,0.560289,0.593434,0.588696,0.556499,0.617419,0.622789,0.5625,0.495894,0.622789,0.624052,0.589012,0.617735,0.589012,0.589644,0.621526,0.591539]
average_cost
0
kappa
0.15666456096020215
kb_relative_information_score
0.16326084415336437
mean_absolute_error
0.01669793621013103
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
0.1651031894934334
prior_entropy
6.643827772868604
recall
0.1651031894934334 [0,0.1875,0.0625,0.125,0.125,0.1875,0.125,0.0625,0.125,0.125,0.25,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.125,0.25,0.25,0,0.125,0.125,0,0.1875,0.1875,0,0.1875,0.1875,0,0.25,0.0625,0.1875,0,0.0625,0.25,0.1875,0.1875,0.0625,0.125,0.1875,0.0625,0.0625,0.125,0.25,0.125,0.0625,0.25,0.25,0.25,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.25,0.1875,0.25,0.1875,0.25,0.0625,0.1875,0.125,0.25,0,0.25,0.0625,0.25,0.125,0.1875,0.1875,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.1875,0.125,0,0.25,0.125,0.1875,0.1875,0.125,0.25,0.25,0.125,0,0.25,0.25,0.1875,0.25,0.1875,0.1875,0.25,0.1875]
relative_absolute_error
0.8433304220472464
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.12922049454374887
root_relative_squared_error
1.2987150883224678
total_cost
0
area_under_roc_curve
0.5849056603773584 [0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.974843,0.5,0.5,0.984277,0.5,0.5,0.5,0.5,0.987421,0.993711,0.5,0.5,0.5,0.5,0.5,0.484277,0.490566,0.5,0.5,0.977987,0.993711,0.5,0.5,0.5,0.990566,0.496855,0.5,0.490566,0.990566,0.5,0.987421,0.5,0.5,0.984277,0.5,0.962264,0.5,0.95283,0.5,0.5,0.974843,0.981132,1,1,0.5,0.996855,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.5,0.5,0.996855,0.987421,0.984277,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.990566,0.990566,0.5,0.993711]
area_under_roc_curve
0.5754716981132073 [0.5,0.484277,0.496855,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.5,0.974843,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.987421,0.990566,0.5,0.5,0.5,0.496855,0.493711,0.5,0.493711,0.977987,0.5,0.487421,0.5,0.5,0.996855,0.5,0.965409,0.5,0.95283,0.5,0.984277,0.974843,0.974843,1,0.996855,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,1,0.971698,0.5,0.5,0.5,0.5,0.496855,0.993711,1,0.5,0.484277,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.996855,0.5,0.5,0.481132,0.984277,0.5,0.493711]
area_under_roc_curve
0.5817610062893079 [0.5,0.987421,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.981132,0.493711,0.5,0.996855,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.474843,0.971698,0.5,0.971698,0.5,0.5,0.996855,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.965409,0.990566,0.5,0.5,0.5,0.946541,0.5,1,0.493711,0.959119,0.5,0.5,0.990566,0.996855,0.996855,0.5,0.5,0.5,0.490566,0.981132,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.990566,0.5,0.5,0.496855,0.5,0.490566,0.5,0.990566,0.5,0.5,0.487421,0.5,0.990566,1,0.5,0.5,1,0.5,0.990566,0.984277,0.5,0.5,0.996855]
area_under_roc_curve
0.5817610062893078 [0.5,0.990566,0.5,0.5,0.5,0.493711,0.5,0.5,1,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.487421,0.490566,0.5,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.468553,0.971698,0.5,0.465409,0.5,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,0.5,0.95283,0.968553,1,0.5,0.5,0.5,0.5,0.5,1,0.990566,0.965409,1,0.5,0.5,0.993711,0.496855,0.5,0.496855,0.5,0.493711,0.993711,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.993711,0.5,0.5,0.968553,0.5,0.493711,0.5,0.993711,0.5,0.5,0.987421,0.5,0.996855,1,0.5,0.5,1,0.493711,0.971698,0.5,0.5,0.5,0.993711]
area_under_roc_curve
0.5691823899371067 [0.5,0.5,0.5,1,0.971698,0.987421,0.496855,0.5,0.5,0.496855,0.5,0.496855,0.496855,0.5,0.477987,0.987421,0.5,0.5,0.5,0.996855,0.5,0.484277,0.5,0.474843,0.496855,0.5,0.5,0.5,0.5,0.5,0.490566,0.996855,0.5,0.5,0.5,0.996855,0.5,0.5,0.959119,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.968553,0.971698,0.5,0.5,0.5,0.987421,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.471698,0.496855,0.5,0.5,0.5,0.5,0.974843,0.996855,0.5,0.5,0.5,1,0.987421,0.990566,0.5,0.5,0.5,0.5,0.493711,0.990566,0.5,0.5,0.5,0.481132,0.5,0.993711,0.5,0.5,0.5,0.993711,0.993711,0.984277,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5880503144654088 [0.5,0.5,0.5,0.5,0.965409,0.977987,0.496855,0.5,1,0.993711,0.5,0.987421,0.993711,0.5,0.984277,0.990566,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.977987,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.987421,0.5,0.5,0.5,0.493711,0.5,0.5,0.981132,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.977987,0.5,0.943396,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.968553,1,0.5,0.5,0.5,0.5,0.987421,0.493711,0.5,0.5,0.5,1,0.987421,0.990566,0.5,0.5,0.5,0.493711,0.5,0.984277,0.5,0.5,0.5,0.984277,0.5,0.996855,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5817610062893082 [0.5,0.5,0.5,0.5,0.493711,0.5,0.962264,0.5,0.5,0.962264,0.5,0.5,1,0.990566,0.987421,1,0.5,0.5,1,0.5,0.5,0.493711,0.487421,0.5,0.5,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.990566,0.5,0.5,0.974843,0.5,0.981132,0.5,0.5,0.990566,0.5,0.474843,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.984277,0.996855,0.5,0.5,0.5,0.977987,1,0.5,0.5,0.993711,0.996855,0.984277,0.5,0.5,0.5,0.5,0.496855,0.5,0.987421,0.5,1,0.984277,0.5,0.974843,0.5,0.5,0.490566,0.5,0.5,0.965409,0.5,0.5,0.5,0.993711,0.5]
area_under_roc_curve
0.5628930817610062 [0.5,0.5,0.5,1,0.481132,0.5,0.965409,0.5,0.5,0.493711,0.5,0.5,1,0.993711,0.990566,1,0.484277,0.5,0.496855,0.5,0.974843,0.455975,0.955975,0.5,0.5,0.490566,0.5,0.5,0.996855,0.990566,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.496855,0.5,0.5,0.5,0.5,0.943396,0.5,0.984277,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.5,0.996855,0.5,0.5,0.490566,0.987421,0.5,0.5,0.5,0.996855,0.487421,0.987421,0.5,0.5,0.5,0.5,0.993711,0.5,0.984277,0.5,0.496855,0.493711,0.5,0.990566,0.5,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5]
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
0.1669087168154439
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
0.01662500000000001
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
0.16875
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
0.16875 [0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,1,0,1,1,0,0,1]
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
0.8396452166675347
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
0.12893796958227632
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
1.2958732019892434
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
712.7371219999077
usercpu_time_millis
709.5240939997893
usercpu_time_millis
710.5067710001549
usercpu_time_millis
711.0801510002602
usercpu_time_millis
708.7969699998666
usercpu_time_millis
711.6316780000034
usercpu_time_millis
711.9050570001946
usercpu_time_millis
708.8337209997917
usercpu_time_millis
708.9863249998416
usercpu_time_millis
711.0622960001365
usercpu_time_millis_testing
62.39186800007701
usercpu_time_millis_testing
62.370423999936975
usercpu_time_millis_testing
62.422232000017175
usercpu_time_millis_testing
62.64612100017075
usercpu_time_millis_testing
62.10304399996858
usercpu_time_millis_testing
62.30268900003466
usercpu_time_millis_testing
62.766477000195664
usercpu_time_millis_testing
62.21366899990244
usercpu_time_millis_testing
62.626140000020314
usercpu_time_millis_testing
62.259642000071835
usercpu_time_millis_training
650.3452539998307
usercpu_time_millis_training
647.1536699998524
usercpu_time_millis_training
648.0845390001377
usercpu_time_millis_training
648.4340300000895
usercpu_time_millis_training
646.693925999898
usercpu_time_millis_training
649.3289889999687
usercpu_time_millis_training
649.1385799999989
usercpu_time_millis_training
646.6200519998893
usercpu_time_millis_training
646.3601849998213
usercpu_time_millis_training
648.8026540000646
wall_clock_time_millis
712.7866744995117
wall_clock_time_millis
709.5644474029541
wall_clock_time_millis
710.5364799499512
wall_clock_time_millis
711.1341953277588
wall_clock_time_millis
708.8403701782227
wall_clock_time_millis
711.6761207580566
wall_clock_time_millis
711.9543552398682
wall_clock_time_millis
708.8847160339355
wall_clock_time_millis
709.0222835540771
wall_clock_time_millis
711.1241817474365
wall_clock_time_millis_testing
62.40105628967285
wall_clock_time_millis_testing
62.37936019897461
wall_clock_time_millis_testing
62.42990493774414
wall_clock_time_millis_testing
62.65735626220703
wall_clock_time_millis_testing
62.11113929748535
wall_clock_time_millis_testing
62.311649322509766
wall_clock_time_millis_testing
62.77751922607422
wall_clock_time_millis_testing
62.223196029663086
wall_clock_time_millis_testing
62.635183334350586
wall_clock_time_millis_testing
62.26944923400879
wall_clock_time_millis_training
650.3856182098389
wall_clock_time_millis_training
647.1850872039795
wall_clock_time_millis_training
648.106575012207
wall_clock_time_millis_training
648.4768390655518
wall_clock_time_millis_training
646.7292308807373
wall_clock_time_millis_training
649.3644714355469
wall_clock_time_millis_training
649.176836013794
wall_clock_time_millis_training
646.6615200042725
wall_clock_time_millis_training
646.3871002197266
wall_clock_time_millis_training
648.8547325134277