10413262
1
Jan van Rijn
9956
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8251006
C
3.8246625417130566
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
3.579081226542914e-05
16360
kernel
"rbf"
16360
max_iter
-1
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probability
false
16360
random_state
35091
16360
shrinking
false
16360
tol
0.004506929052801702
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1493
one-hundred-plants-texture
https://www.openml.org/data/download/1592285/phpoOxxNn
-1
21748333
description
https://api.openml.org/data/download/21748333/description.xml
-1
21748334
predictions
https://api.openml.org/data/download/21748334/predictions.arff
area_under_roc_curve
0.5777005685407461 [0.5,0.589328,0.530934,0.5625,0.553656,0.588696,0.554288,0.530618,0.5625,0.55713,0.622473,0.560921,0.592802,0.622157,0.587433,0.622789,0.528723,0.61205,0.561552,0.624052,0.614577,0.492735,0.554288,0.554288,0.498105,0.590591,0.591223,0.5,0.593434,0.591855,0.498105,0.621526,0.528091,0.590907,0.5,0.524301,0.61584,0.58996,0.581747,0.530618,0.561552,0.591855,0.529671,0.528407,0.559341,0.617419,0.553972,0.523669,0.614261,0.613629,0.622157,0.609523,0.612682,0.587749,0.60668,0.559657,0.623421,0.587117,0.612682,0.59375,0.624368,0.591855,0.623421,0.530302,0.584274,0.560921,0.623421,0.497789,0.621526,0.498421,0.617735,0.561552,0.593434,0.58838,0.591539,0.592171,0.61963,0.621526,0.591539,0.620578,0.589012,0.558394,0.49621,0.61963,0.560605,0.593434,0.588696,0.556815,0.617104,0.591539,0.5625,0.495894,0.622789,0.624052,0.589012,0.617419,0.589012,0.589644,0.621526,0.591539]
average_cost
0
kappa
0.15540113708149084
kb_relative_information_score
0.16200748554369412
mean_absolute_error
0.016722951844902762
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
0.16385240775484677
prior_entropy
6.643827772868604
recall
0.16385240775484677 [0,0.1875,0.0625,0.125,0.125,0.1875,0.125,0.0625,0.125,0.125,0.25,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.125,0.25,0.25,0,0.125,0.125,0,0.1875,0.1875,0,0.1875,0.1875,0,0.25,0.0625,0.1875,0,0.0625,0.25,0.1875,0.1875,0.0625,0.125,0.1875,0.0625,0.0625,0.125,0.25,0.125,0.0625,0.25,0.25,0.25,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.25,0.1875,0.25,0.1875,0.25,0.0625,0.1875,0.125,0.25,0,0.25,0,0.25,0.125,0.1875,0.1875,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.1875,0.125,0,0.25,0.125,0.1875,0.1875,0.125,0.25,0.1875,0.125,0,0.25,0.25,0.1875,0.25,0.1875,0.1875,0.25,0.1875]
relative_absolute_error
0.844593838409864
root_mean_prior_squared_error
0.09949872432040595
root_mean_squared_error
0.12931725269623834
root_relative_squared_error
1.2996875445338447
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
0.5786163522012576 [0.5,0.987421,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.981132,0.493711,0.5,0.996855,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.474843,0.971698,0.5,0.971698,0.5,0.5,0.996855,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.965409,0.990566,0.5,0.5,0.5,0.946541,0.5,1,0.493711,0.959119,0.5,0.5,0.990566,0.996855,0.996855,0.5,0.5,0.5,0.490566,0.981132,0.5,0.5,0.5,0.5,0.490566,0.5,0.5,0.5,0.990566,0.5,0.5,0.496855,0.5,0.490566,0.5,0.990566,0.5,0.5,0.487421,0.5,0.490566,1,0.5,0.5,1,0.5,0.990566,0.984277,0.5,0.5,0.996855]
area_under_roc_curve
0.5817610062893079 [0.5,0.990566,0.5,0.5,0.5,0.490566,0.5,0.5,1,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.487421,0.490566,0.5,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.465409,0.971698,0.5,0.468553,0.5,0.5,0.996855,0.496855,0.5,0.5,0.5,0.5,0.5,0.955975,0.971698,1,0.5,0.5,0.5,0.5,0.5,1,0.990566,0.962264,1,0.5,0.5,0.993711,0.496855,0.5,0.496855,0.5,0.493711,0.990566,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.993711,0.5,0.5,0.971698,0.5,0.493711,0.5,0.996855,0.5,0.5,0.987421,0.5,0.996855,1,0.5,0.5,1,0.493711,0.968553,0.5,0.5,0.5,0.993711]
area_under_roc_curve
0.5691823899371067 [0.5,0.5,0.5,1,0.971698,0.987421,0.496855,0.5,0.5,0.496855,0.5,0.496855,0.496855,0.5,0.477987,0.987421,0.5,0.5,0.5,0.996855,0.5,0.481132,0.5,0.471698,0.496855,0.5,0.5,0.5,0.5,0.5,0.490566,0.996855,0.5,0.5,0.5,0.996855,0.5,0.5,0.959119,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.968553,0.971698,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.471698,0.496855,0.5,0.5,0.5,0.5,0.974843,0.996855,0.5,0.5,0.5,1,0.987421,0.990566,0.5,0.5,0.5,0.5,0.493711,0.990566,0.5,0.5,0.5,0.484277,0.5,0.993711,0.5,0.5,0.5,0.993711,0.993711,0.984277,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5880503144654088 [0.5,0.5,0.5,0.5,0.965409,0.974843,0.496855,0.5,1,0.993711,0.5,0.990566,0.993711,0.5,0.984277,0.990566,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.977987,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.987421,0.5,0.5,0.5,0.493711,0.5,0.5,0.981132,1,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.977987,0.5,0.943396,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.968553,1,0.5,0.5,0.5,0.5,0.987421,0.493711,0.5,0.5,0.5,1,0.987421,0.990566,0.5,0.5,0.5,0.493711,0.5,0.984277,0.5,0.5,0.5,0.984277,0.5,0.996855,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.581761006289308 [0.5,0.5,0.5,0.5,0.493711,0.5,0.959119,0.5,0.5,0.962264,0.5,0.5,1,0.990566,0.987421,1,0.5,0.5,1,0.5,0.5,0.493711,0.487421,0.5,0.5,0.5,0.5,0.5,1,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.990566,0.5,0.5,0.977987,0.5,0.981132,0.5,0.5,0.987421,0.5,0.474843,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.990566,0.996855,0.5,0.5,0.5,0.977987,1,0.5,0.5,0.993711,0.996855,0.984277,0.5,0.5,0.5,0.5,0.496855,0.5,0.987421,0.5,1,0.984277,0.5,0.974843,0.5,0.5,0.487421,0.5,0.5,0.965409,0.5,0.5,0.5,0.993711,0.5]
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
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kappa
0.16352201257861634
kappa
0.17721518987341772
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
0.1805901568775888
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
0.016352201257861645
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
0.18238993710691823
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
0.18238993710691823 [0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,1,0,1,0,0,0,0,1,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,1,1,1,0]
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
0.8258705723548182
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
0.1278757258351312
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
1.2852020138592757
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
710.6496310000005
usercpu_time_millis
703.561063
usercpu_time_millis
705.5844389999999
usercpu_time_millis
700.7006650000012
usercpu_time_millis
706.9098069999998
usercpu_time_millis
703.4267969999996
usercpu_time_millis
708.4761550000004
usercpu_time_millis
703.2193360000001
usercpu_time_millis
704.0431310000006
usercpu_time_millis
705.6710899999991
usercpu_time_millis_testing
64.24720800000028
usercpu_time_millis_testing
63.49851299999987
usercpu_time_millis_testing
65.58049499999984
usercpu_time_millis_testing
63.847457000000496
usercpu_time_millis_testing
63.542610999999916
usercpu_time_millis_testing
63.14170100000016
usercpu_time_millis_testing
63.879617000000444
usercpu_time_millis_testing
64.01051000000012
usercpu_time_millis_testing
63.89149900000035
usercpu_time_millis_testing
64.10022999999931
usercpu_time_millis_training
646.4024230000001
usercpu_time_millis_training
640.0625500000001
usercpu_time_millis_training
640.003944
usercpu_time_millis_training
636.8532080000007
usercpu_time_millis_training
643.3671959999998
usercpu_time_millis_training
640.2850959999995
usercpu_time_millis_training
644.596538
usercpu_time_millis_training
639.2088259999999
usercpu_time_millis_training
640.1516320000003
usercpu_time_millis_training
641.5708599999998
wall_clock_time_millis
710.7007503509521
wall_clock_time_millis
703.5877704620361
wall_clock_time_millis
705.6252956390381
wall_clock_time_millis
700.7274627685547
wall_clock_time_millis
706.937313079834
wall_clock_time_millis
703.4556865692139
wall_clock_time_millis
708.5201740264893
wall_clock_time_millis
703.240156173706
wall_clock_time_millis
704.0655612945557
wall_clock_time_millis
705.6934833526611
wall_clock_time_millis_testing
64.25166130065918
wall_clock_time_millis_testing
63.508033752441406
wall_clock_time_millis_testing
65.60444831848145
wall_clock_time_millis_testing
63.857316970825195
wall_clock_time_millis_testing
63.55118751525879
wall_clock_time_millis_testing
63.14873695373535
wall_clock_time_millis_testing
63.88545036315918
wall_clock_time_millis_testing
64.01467323303223
wall_clock_time_millis_testing
63.897132873535156
wall_clock_time_millis_testing
64.10527229309082
wall_clock_time_millis_training
646.449089050293
wall_clock_time_millis_training
640.0797367095947
wall_clock_time_millis_training
640.0208473205566
wall_clock_time_millis_training
636.8701457977295
wall_clock_time_millis_training
643.3861255645752
wall_clock_time_millis_training
640.3069496154785
wall_clock_time_millis_training
644.6347236633301
wall_clock_time_millis_training
639.2254829406738
wall_clock_time_millis_training
640.1684284210205
wall_clock_time_millis_training
641.5882110595703