6046156
1
Jan van Rijn
9954
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4080814
axis
0
6947
categorical_features
[]
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copy
true
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fill_empty
0
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missing_values
"NaN"
6947
strategy
"median"
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strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
C
0.09066410531992017
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cache_size
200
6953
class_weight
null
6953
coef0
0.0
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decision_function_shape
null
6953
degree
3
6953
gamma
0.0015165648306424218
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
41947
6953
shrinking
true
6953
tol
7.656908342307105e-05
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
13015437
description
https://api.openml.org/data/download/13015437/description.xml
-1
13015438
predictions
https://api.openml.org/data/download/13015438/predictions.arff
area_under_roc_curve
0.47685250946969693 [0.505129,0.410669,0.467921,0.426215,0.468079,0.464094,0.399937,0.441091,0.453086,0.400963,0.480548,0.479246,0.48402,0.493766,0.481534,0.511364,0.467764,0.479246,0.447404,0.498303,0.484572,0.486703,0.492937,0.478378,0.484493,0.485559,0.505366,0.483744,0.479601,0.479127,0.487295,0.476128,0.497711,0.478456,0.481574,0.476286,0.485677,0.492345,0.476562,0.47605,0.501657,0.477352,0.475852,0.479995,0.478022,0.503748,0.476247,0.484612,0.478812,0.47964,0.489938,0.479719,0.481771,0.491556,0.438092,0.485401,0.475852,0.477431,0.482757,0.485914,0.47818,0.493332,0.477904,0.441288,0.430871,0.482915,0.502407,0.476247,0.482876,0.494081,0.500908,0.476405,0.493213,0.483823,0.489347,0.480193,0.477865,0.505721,0.477667,0.483191,0.483902,0.455729,0.478062,0.480824,0.49203,0.480429,0.476602,0.481495,0.489189,0.49128,0.489938,0.427991,0.443497,0.456834,0.436001,0.48398,0.496725,0.434856,0.510496,0.493647]
average_cost
0
kappa
-0.003156565656565657
kb_relative_information_score
21.62280205728593
mean_absolute_error
0.019793469964130787
mean_prior_absolute_error
0.019800000000000036
number_of_instances
1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16]
predictive_accuracy
0.006875
prior_entropy
6.6438561897747395
recall
0.006875 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1875,0.5]
relative_absolute_error
0.9996702002086237
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09947241105625566
root_relative_squared_error
0.9997353468654541
total_cost
0
area_under_roc_curve
0.04905187684101587 [0.220126,0.028481,0.003165,0,0,0,0.009494,0.006289,0.006329,0,0.031646,0.03481,0.066456,0.085443,0.015823,0.220126,0.053797,0.060127,0.107595,0.119497,0.09434,0.018868,0.119497,0.018868,0,0.025316,0.120253,0.041139,0.003165,0.012579,0.06962,0,0.113924,0.022152,0.037975,0.012579,0.031447,0.08805,0,0.003165,0.09434,0.018868,0,0.012658,0,0.155063,0.006289,0.025157,0.015823,0.041139,0.082278,0.018987,0.025157,0.129747,0.018868,0.018868,0,0,0.012579,0.075949,0.006289,0.031447,0.006329,0.009494,0.012579,0.025316,0.123418,0,0.006289,0.352201,0.155063,0,0.075949,0.047468,0,0.009494,0.006329,0.167722,0.003165,0.031646,0.107595,0.012658,0.012579,0.031447,0.126582,0.031646,0.009494,0.006329,0.139241,0.113208,0.053797,0.006289,0.003165,0.120253,0.015823,0.018987,0.169811,0.047468,0.113924,0.044025]
area_under_roc_curve
0.04711607356102224 [0.207547,0.003165,0.003165,0,0,0,0.006329,0,0.009494,0,0.025316,0.015823,0.028481,0.262658,0.003165,0.157233,0.050633,0.041139,0.053797,0.125786,0.044025,0.09434,0.169811,0.012579,0.031447,0.056962,0.151899,0.003165,0.025316,0,0.031646,0,0.085443,0.006329,0.025316,0.012579,0.037736,0.100629,0.012579,0,0.106918,0.006289,0,0.044304,0,0.113924,0,0.018868,0.009494,0.025316,0.056962,0.044304,0.012579,0.053797,0.018868,0,0,0,0.044025,0.10443,0.006289,0.125786,0.012658,0.031646,0,0.031646,0.136076,0,0.176101,0.075472,0.142405,0,0.075949,0.053797,0.012579,0.015823,0.025316,0.18038,0.006329,0,0.056962,0.025316,0.006289,0.044025,0.10443,0.015823,0.003165,0.009494,0.050633,0.050314,0.03481,0,0.012658,0.18038,0.015823,0.031646,0.125786,0.037975,0.183544,0.069182]
area_under_roc_curve
0.042258777167423 [0.107595,0.012658,0,0,0.003165,0.009494,0.044025,0.050633,0.022152,0,0.012658,0.015823,0.012579,0.031646,0.075949,0.129747,0.012658,0.110759,0.056604,0.041139,0.119497,0.069182,0.231013,0.012579,0.044025,0.041139,0.136076,0.050314,0.006329,0.022152,0.08805,0,0.113924,0.012658,0.044025,0,0.050314,0.150943,0.006289,0.006329,0.161392,0.025157,0,0.006289,0.006329,0.18239,0,0.069182,0.018987,0.009494,0.044304,0,0.012579,0.006329,0.006289,0.028481,0,0.003165,0.069182,0.053797,0.006289,0.062893,0.003165,0.069182,0.006329,0.031646,0.129747,0,0.012579,0.063291,0.075949,0.006329,0.018868,0.025316,0.050314,0.009494,0.012658,0.047468,0.022152,0.044304,0.018868,0.025316,0.006329,0.031646,0.08805,0.031447,0,0.022152,0.091772,0.075472,0.082278,0,0,0.075949,0.044304,0.062893,0.050633,0.022152,0.081761,0.063291]
area_under_roc_curve
0.045544492874771136 [0.202532,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0,0.018987,0.022152,0.044025,0.094937,0.022152,0.120253,0.012658,0.082278,0.150943,0.088608,0.025157,0.012579,0.060127,0.006289,0.025157,0.047468,0.183544,0.025157,0.006329,0.015823,0.025157,0,0.091772,0.006329,0.025157,0,0.044025,0.119497,0.006289,0,0.072785,0,0,0.006289,0.003165,0.113208,0.006329,0.025157,0.003165,0.006329,0.028481,0.006289,0.018868,0.161392,0.012579,0.075949,0,0.003165,0.044025,0.037975,0.018868,0.037736,0.009494,0.018868,0.009494,0.022152,0.10443,0.012658,0,0.167722,0.151899,0.006329,0.144654,0.037975,0.050314,0.009494,0.003165,0.14557,0,0.050633,0.106918,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.044304,0.041139,0.081761,0.110759,0,0.018868,0.075949,0.018987,0.069182,0.126582,0.025316,0.308176,0.012658]
area_under_roc_curve
0.04564599753204365 [0.110759,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,0,0.025316,0.015823,0.062893,0.232704,0.037736,0.202532,0.015823,0.063291,0.069182,0.132911,0.025316,0.075949,0,0.006329,0.085443,0.041139,0.174051,0,0.018868,0.025316,0.044025,0,0.167722,0.018987,0.056604,0,0.072785,0.098101,0,0,0.107595,0.003165,0,0.025157,0,0.27044,0,0.018987,0,0.006329,0.025157,0.025157,0.006329,0.025157,0.009494,0.015823,0,0.022152,0.028481,0.037736,0,0.060127,0.012579,0,0.006329,0.015823,0.119497,0,0.044304,0.072785,0.10443,0,0.037736,0.018868,0.151899,0.018868,0.022152,0.107595,0.015823,0.056604,0.031447,0.012658,0.003165,0.037975,0.18239,0.037736,0.018868,0.031447,0.031646,0.056962,0.132075,0.009494,0,0.09434,0.06962,0.050314,0.044304,0,0.232704,0.113924]
area_under_roc_curve
0.04799727330626546 [0.253165,0,0.028481,0,0,0.028481,0.006289,0.012658,0,0.003165,0.018987,0.025316,0.069182,0.037736,0.031447,0.186709,0.031646,0.098101,0.08805,0.148734,0.031646,0.088608,0.009494,0.003165,0.066456,0.047468,0.189873,0.056604,0.006289,0.018987,0.037736,0,0.091772,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.101266,0.012658,0,0.031447,0.006289,0.138365,0,0.056962,0.018987,0.009494,0.037736,0.012579,0.047468,0.056604,0.050633,0.047468,0,0,0.031646,0.025157,0.018987,0.082278,0.012579,0.006289,0,0.050633,0.138365,0,0.015823,0.06962,0.123418,0.006329,0.08805,0.050314,0.060127,0.044025,0.012658,0.227848,0.003165,0.069182,0.037736,0,0,0.041139,0.138365,0.012579,0,0.018868,0.056962,0.060127,0.050314,0.006329,0.006289,0.044025,0.03481,0.018868,0.129747,0.012579,0.207547,0.110759]
area_under_roc_curve
0.047189465408805045 [0.094937,0.037736,0,0,0,0.003165,0.006329,0.031646,0.006289,0,0.006289,0.006289,0.056962,0.012579,0,0.234177,0.044025,0.106918,0.044304,0.142405,0.022152,0.025316,0.031646,0.022152,0.022152,0.144654,0.075472,0.107595,0,0,0.088608,0.006289,0.113208,0.031447,0.022152,0,0.041139,0.075949,0.003165,0,0.183544,0.012658,0,0.012658,0.075472,0.079114,0.009494,0.079114,0.018868,0.012579,0.100629,0.015823,0.041139,0.132075,0.056962,0.060127,0,0.006329,0.03481,0.012579,0.022152,0.136076,0.012579,0,0.012658,0.069182,0.132075,0.006329,0.044304,0.03481,0.125786,0,0.075949,0.069182,0.044304,0.006289,0,0.264151,0.025157,0.025157,0.139241,0.018868,0.009494,0.015823,0.063291,0.012658,0,0.050314,0.050314,0.075949,0.037736,0,0.012658,0.132075,0.037736,0.018987,0.132911,0.050314,0.155063,0.06962]
area_under_roc_curve
0.04462025316455698 [0.060127,0.031447,0,0,0,0.006329,0.006329,0.018987,0.018868,0,0.050314,0,0.047468,0.006289,0.056604,0.155063,0.025157,0.144654,0.06962,0.075949,0.028481,0.028481,0.136076,0.012658,0.025316,0.037736,0.132075,0.031646,0.144654,0.006329,0.06962,0,0.08805,0.012579,0.022152,0,0.056962,0.094937,0.003165,0,0.158228,0.003165,0,0.022152,0.031447,0.142405,0,0.047468,0.012579,0.044025,0.295597,0.041139,0.066456,0.075472,0.018987,0.047468,0,0,0.044304,0.050314,0.003165,0.120253,0.012579,0.006329,0.003165,0.069182,0.176101,0,0.037975,0.022152,0.132075,0,0.085443,0.018868,0.044304,0.018868,0,0.031447,0,0.031447,0.085443,0.018868,0.012658,0.022152,0.06962,0.03481,0,0.044025,0.062893,0.075949,0.031447,0,0.003165,0.031447,0.025157,0.028481,0.072785,0.037736,0.14557,0.148734]
area_under_roc_curve
0.04311335681872465 [0.075472,0.03481,0.012579,0,0,0.018868,0.012658,0,0.018987,0,0.025157,0.006289,0.015823,0.060127,0.018987,0.176101,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.106918,0.015823,0.047468,0.018868,0.132075,0.015823,0,0.018868,0.063291,0,0.075472,0.012579,0.012658,0,0.047468,0.041139,0.006329,0,0.226415,0,0,0.028481,0.012658,0.227848,0,0.031646,0.025157,0.018868,0.079114,0.009494,0.012658,0.129747,0.044304,0.125786,0,0.037736,0.012658,0.025316,0.015823,0.091772,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.119497,0.062893,0.006289,0.161392,0.022152,0.031646,0.047468,0,0.119497,0.018868,0.047468,0.113924,0.037736,0.012579,0.018868,0.028481,0.009494,0,0.025316,0.113208,0.088608,0.072785,0.006329,0.006329,0.088608,0.025157,0.088608,0.100629,0.006329,0.151899,0.100629]
area_under_roc_curve
0.042289377836159554 [0.163522,0.053797,0,0,0,0,0.006329,0,0.015823,0,0.025157,0.006289,0.031646,0.03481,0.025316,0.232704,0.031447,0.025157,0.06962,0.132075,0.06962,0.079114,0.012579,0.018987,0.050633,0.012579,0.125786,0.072785,0.015823,0.044025,0.031646,0,0.138365,0,0.037975,0.006329,0.03481,0.050633,0,0,0.037736,0.006329,0,0.015823,0.012658,0.041139,0,0.041139,0.018868,0.012579,0.050633,0.009494,0.031646,0.091772,0.009494,0.037736,0,0.012579,0.03481,0.060127,0.015823,0.050633,0.015823,0.009494,0.018868,0.031447,0.129747,0,0,0.044025,0.163522,0,0.050633,0.041139,0.126582,0.03481,0,0.194969,0.006289,0.025316,0.06962,0.025157,0.037736,0.006289,0.056962,0.009494,0.003165,0.041139,0.018868,0.110759,0.091772,0,0.006329,0.129747,0.012579,0.044304,0.163522,0.044304,0.202532,0.132075]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
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kappa
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kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
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kappa
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kappa
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kb_relative_information_score
2.2352323418262703
kb_relative_information_score
2.235237912356293
kb_relative_information_score
2.1223253840046725
kb_relative_information_score
2.122372293195965
kb_relative_information_score
2.0565477685856446
kb_relative_information_score
2.0565909172362185
kb_relative_information_score
2.1700116738897397
kb_relative_information_score
2.1700398418947984
kb_relative_information_score
2.2272115256611515
kb_relative_information_score
2.2272323986351994
mean_absolute_error
0.019793238448040946
mean_absolute_error
0.019793238237405694
mean_absolute_error
0.01979359266040375
mean_absolute_error
0.019793592410763297
mean_absolute_error
0.01979380440477355
mean_absolute_error
0.019793804133222872
mean_absolute_error
0.019793447640004493
mean_absolute_error
0.01979344741610471
mean_absolute_error
0.019793267122637376
mean_absolute_error
0.019793267167951187
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
mean_prior_absolute_error
0.019800000000000033
number_of_instances
160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
number_of_instances
160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1]
predictive_accuracy
0
predictive_accuracy
0
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.00625
predictive_accuracy
0
predictive_accuracy
0
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
prior_entropy
6.6438561897747395
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]
recall
0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9996585074768138
relative_absolute_error
0.9996584968386696
relative_absolute_error
0.9996763969900868
relative_absolute_error
0.999676384381983
relative_absolute_error
0.9996870911501776
relative_absolute_error
0.9996870774354969
relative_absolute_error
0.999669072727498
relative_absolute_error
0.999669061419428
relative_absolute_error
0.9996599556887547
relative_absolute_error
0.999659957977331
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_prior_squared_error
0.09949874371066206
root_mean_squared_error
0.09947161321664565
root_mean_squared_error
0.09947161209549261
root_mean_squared_error
0.09947276438305137
root_mean_squared_error
0.09947276313884784
root_mean_squared_error
0.09947354848282035
root_mean_squared_error
0.09947354711328864
root_mean_squared_error
0.0994723619186131
root_mean_squared_error
0.09947236077418167
root_mean_squared_error
0.09947176957636975
root_mean_squared_error
0.09947176983843699
root_relative_squared_error
0.9997273282756685
root_relative_squared_error
0.9997273170076565
root_relative_squared_error
0.9997388979333625
root_relative_squared_error
0.9997388854286464
root_relative_squared_error
0.9997467784325502
root_relative_squared_error
0.9997467646682385
root_relative_squared_error
0.9997348530135649
root_relative_squared_error
0.9997348415115964
root_relative_squared_error
0.9997288997500234
root_relative_squared_error
0.9997289023838983
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
2856.500646999848
usercpu_time_millis
2707.3823129994707
usercpu_time_millis
2736.3862879992666
usercpu_time_millis
2710.829354999987
usercpu_time_millis
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usercpu_time_millis
2713.192904000607
usercpu_time_millis
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usercpu_time_millis
2731.927740998799
usercpu_time_millis
2712.233995999668
usercpu_time_millis
2703.219383999567
usercpu_time_millis_testing
159.00988599969423
usercpu_time_millis_testing
156.19736299959186
usercpu_time_millis_testing
157.04682499927003
usercpu_time_millis_testing
157.4775139997655
usercpu_time_millis_testing
148.9688620004017
usercpu_time_millis_testing
156.4253810001901
usercpu_time_millis_testing
149.6069009999701
usercpu_time_millis_testing
149.16763399924093
usercpu_time_millis_testing
151.2161209993792
usercpu_time_millis_testing
149.8673289997896
usercpu_time_millis_training
2697.4907610001537
usercpu_time_millis_training
2551.184949999879
usercpu_time_millis_training
2579.3394629999966
usercpu_time_millis_training
2553.3518410002216
usercpu_time_millis_training
2550.470848000259
usercpu_time_millis_training
2556.767523000417
usercpu_time_millis_training
2553.0472370001007
usercpu_time_millis_training
2582.760106999558
usercpu_time_millis_training
2561.0178750002888
usercpu_time_millis_training
2553.3520549997775