8815047
1
Jan van Rijn
9954
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6790097
axis
0
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categorical_features
[]
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copy
true
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fill_empty
0
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missing_values
"NaN"
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strategy
"most_frequent"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[]
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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copy
true
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with_mean
false
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with_std
true
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C
0.09808216152565546
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cache_size
200
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class_weight
null
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coef0
0.7546143884799357
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decision_function_shape
null
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degree
4
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gamma
0.0008377165261212127
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kernel
"poly"
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max_iter
-1
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probability
true
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random_state
5501
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shrinking
true
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tol
0.0002830503572018342
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verbose
false
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openml-pimp
openml-python
Sklearn_0.18.1.
study_71
1491
one-hundred-plants-margin
https://www.openml.org/data/download/1592283/phpCsX3fx
-1
18546012
description
https://api.openml.org/data/download/18546012/description.xml
-1
18546013
predictions
https://api.openml.org/data/download/18546013/predictions.arff
area_under_roc_curve
0.3484915561868687 [0.369949,0.315696,0.305477,0.974787,0.302675,0.309304,0.306779,0.315578,0.308594,0.648753,0.313408,0.315578,0.337358,0.329388,0.314354,0.372475,0.301215,0.334557,0.336214,0.355311,0.328717,0.325521,0.323666,0.305634,0.334122,0.332781,0.34521,0.332939,0.314433,0.304411,0.312895,0.302399,0.351918,0.31108,0.342132,0.316327,0.340593,0.361742,0.306345,0.301531,0.364781,0.307134,0.301689,0.319563,0.798374,0.369989,0.352943,0.317353,0.308515,0.31179,0.365136,0.313092,0.316682,0.355705,0.314828,0.335701,0.998698,0.306937,0.321299,0.335622,0.311908,0.362216,0.307252,0.306503,0.30453,0.31688,0.360559,0.305713,0.309265,0.327928,0.364149,0.303859,0.340633,0.315696,0.348682,0.30883,0.307726,0.381076,0.304372,0.309462,0.32923,0.306581,0.314749,0.317551,0.338384,0.315144,0.301728,0.316801,0.331518,0.333373,0.345802,0.451428,0.308633,0.345604,0.325126,0.321575,0.348801,0.315025,0.380919,0.326271]
average_cost
0
kappa
0.00441919191919192
kb_relative_information_score
17.031583423884577
mean_absolute_error
0.019798671950827705
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
0.014375
prior_entropy
6.6438561897747395
recall
0.014375 [0.75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.6875,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9999329268094782
root_mean_prior_squared_error
0.09949874371066209
root_mean_squared_error
0.09950133796372025
root_relative_squared_error
1.000026073224258
total_cost
0
area_under_roc_curve
0.0694839184778282 [0.201258,0.028481,0,1,0.003165,0,0.003165,0.012579,0.006329,0,0.022152,0.044304,0.075949,0.060127,0.572785,0.207547,0,0.028481,0.03481,0.125786,0.075472,0,0.012579,0.006289,0.012579,0.018987,0.047468,0,0.003165,0.018868,0,0,0.082278,0.012658,0.022152,0.006289,0,0.044025,0,0,0.081761,0.018868,0,0.012658,1,0.151899,0.018868,0.006289,0.012658,0.056962,0.075949,0.006329,0.012579,0.031646,0.012579,0.006289,1,0,0.025157,0.050633,0.006289,0.025157,0.015823,0.012658,0.012579,0.022152,0.079114,0,0,0.176101,0.091772,0,0.009494,0.031646,0.006289,0,0.003165,0.129747,0,0.009494,0.006329,0.003165,0.012579,0.037736,0.085443,0.022152,0.006329,0.003165,0.085443,0.075472,0.028481,0,0,0.056962,0.022152,0.025316,0.157233,0.028481,0.091772,0.031447]
area_under_roc_curve
0.07395982604888147 [0.150943,0.006329,0,1,0,0,0,0.006289,0.003165,0,0.018987,0.009494,0.041139,0.170886,0.987342,0.132075,0,0.031646,0.022152,0.100629,0.006289,0.081761,0.044025,0,0.006289,0.047468,0.10443,0,0.015823,0,0,0,0.079114,0.003165,0.044304,0.006289,0.025157,0.075472,0.006289,0,0.125786,0.012579,0,0.03481,1,0.072785,0,0.006289,0.009494,0.022152,0.044304,0.03481,0.012579,0.018987,0,0.012579,1,0,0.044025,0.085443,0.006289,0.09434,0.006329,0.009494,0,0.018987,0.085443,0,0.056604,0.031447,0.050633,0,0.015823,0.018987,0.025157,0.003165,0.006329,0.10443,0.006329,0,0.025316,0.015823,0.006289,0.044025,0.050633,0.006329,0,0.006329,0.047468,0.025157,0.037975,0,0.006329,0.148734,0.022152,0.028481,0.132075,0.028481,0.110759,0.018868]
area_under_roc_curve
0.07447879348777964 [0.044304,0.015823,0.006329,0.993711,0.009494,0.006329,0.050314,0.044304,0.009494,0.851266,0.012658,0.018987,0.031447,0.006329,0.974684,0.088608,0,0.094937,0.031447,0.03481,0.044025,0.119497,0.056962,0,0.012579,0.031646,0.082278,0.025157,0.006329,0.003165,0,0,0.079114,0.018987,0.025157,0,0.037736,0.062893,0.018868,0.009494,0.06962,0.037736,0,0.006289,0.993671,0.09434,0.003165,0.050314,0.018987,0.006329,0.018987,0,0.018868,0.015823,0,0.018987,1,0.003165,0.075472,0.041139,0.012579,0.050314,0.003165,0.037736,0.006329,0.031646,0.066456,0,0.012579,0.041139,0.044304,0.006329,0,0.003165,0.056604,0.012658,0.012658,0.03481,0.015823,0.006329,0.025157,0.015823,0.012658,0.037975,0.025157,0.012579,0,0.003165,0.047468,0.075472,0.082278,0,0,0.056962,0.050633,0.037736,0.047468,0.006329,0.09434,0.028481]
area_under_roc_curve
0.07863575750338346 [0.14557,0.025316,0.018987,0.993711,0.006329,0.028481,0.025157,0.015823,0.022152,0.89557,0.012658,0.025316,0.081761,0.050633,0.968354,0.088608,0,0.050633,0.119497,0.098101,0.006289,0.012579,0.018987,0,0.018868,0.050633,0.031646,0.006289,0,0,0,0.006329,0.079114,0.009494,0.012579,0,0.031447,0.056604,0.012579,0,0.022152,0,0,0.006289,0.968354,0.075472,0.088608,0.006289,0.003165,0.003165,0.009494,0.006289,0.018868,0.082278,0,0.053797,1,0,0.050314,0.041139,0.012579,0.031447,0.006329,0.012579,0.003165,0.012658,0.098101,0,0,0.082278,0.113924,0.003165,0.09434,0.012658,0.062893,0,0.006329,0.142405,0.003165,0,0.025157,0.018987,0.025316,0.022152,0.006289,0,0,0.006329,0.009494,0.044025,0.031646,0,0.031447,0.044304,0.012658,0.037736,0.136076,0.031646,0.188679,0.003165]
area_under_roc_curve
0.06691818923652576 [0.037975,0.006289,0.012658,0.993671,0.006289,0.012658,0,0.022152,0.031447,0.816456,0.015823,0.012658,0.081761,0.106918,0.018868,0.132911,0,0.018987,0.075472,0.075949,0.003165,0.03481,0.009494,0.003165,0.012658,0.047468,0.075949,0,0.012579,0.006329,0,0,0.126582,0.022152,0.025157,0,0.050633,0.101266,0.006329,0,0.047468,0.003165,0,0.018868,0,0.119497,0,0.006329,0,0.015823,0.031447,0.062893,0.009494,0.006289,0.003165,0.022152,1,0.015823,0.037975,0.025157,0.018987,0.082278,0.018868,0,0.006329,0.006329,0,0,0.022152,0.015823,0.06962,0,0.006289,0.012579,0.170886,0.012579,0.028481,0.110759,0,0,0.025157,0,0.003165,0.037975,0.08805,0.069182,0,0.012579,0.012658,0.031646,0.056604,0.658228,0,0.119497,0.072785,0.050314,0.031646,0,0.207547,0.006329]
area_under_roc_curve
0.07148142066714434 [0.189873,0,0.025316,1,0,0.047468,0.012579,0.031646,0,0.81962,0.006329,0.028481,0.100629,0.018868,0.012579,0.091772,0,0.056962,0,0.120253,0.025316,0.072785,0.025316,0,0.015823,0.047468,0.037975,0.006289,0.006289,0.003165,0,0,0.06962,0.006329,0.075472,0.006329,0.025316,0.091772,0.012658,0,0.107595,0.009494,0,0.025157,0.006289,0.056604,0,0.041139,0.028481,0.006329,0.031447,0.012579,0.031646,0.050314,0.028481,0.050633,1,0.006329,0.031646,0.031447,0.018987,0.098101,0.018868,0,0,0.028481,0.018868,0,0.012658,0.037975,0.072785,0.006329,0.018868,0,0.066456,0.012579,0.003165,0.18038,0.012658,0.025157,0.044025,0,0.015823,0.044304,0.044025,0,0,0.006289,0.050633,0.03481,0.025157,0.712025,0.025157,0.012579,0.031646,0.025157,0.085443,0.006289,0.220126,0.031646]
area_under_roc_curve
0.07228126741501474 [0.060127,0.018868,0,1,0,0,0.012658,0.028481,0.006289,0.731013,0,0,0.050633,0.012579,0.006289,0.189873,0,0.113208,0.015823,0.126582,0.003165,0.028481,0.050633,0.006329,0.009494,0.113208,0.031447,0.031646,0,0.012658,0.009494,0.006289,0.106918,0.018868,0.012658,0,0.037975,0.06962,0.003165,0,0.025316,0.012658,0,0.012658,0.471698,0.028481,0.411392,0.053797,0.012579,0.012579,0.08805,0.003165,0.018987,0.037736,0.037975,0.041139,1,0.006329,0.037975,0.006289,0,0.14557,0,0.009494,0.006329,0.037736,0.081761,0,0.022152,0.003165,0.031447,0,0.018987,0.006289,0.044304,0,0,0.289308,0.006289,0.018868,0.10443,0,0.022152,0.022152,0.037975,0.015823,0,0,0.037736,0.053797,0.018868,0,0.009494,0.075472,0.025157,0.015823,0.10443,0.037736,0.085443,0.015823]
area_under_roc_curve
0.06505179722951997 [0.022152,0.025157,0,1,0,0.003165,0.018987,0.022152,0.025157,0.734177,0.037736,0.012579,0.060127,0.006289,0.006289,0.126582,0,0.144654,0.031646,0.025316,0,0.028481,0.015823,0.012658,0.022152,0.031447,0.062893,0.009494,0.113208,0.012658,0,0,0.069182,0.012579,0.025316,0,0.047468,0.072785,0.006329,0,0.110759,0.006329,0,0.015823,0.018868,0.123418,0,0.025316,0.012579,0.050314,0.232704,0.031646,0.050633,0.006289,0.009494,0.053797,1,0,0.037975,0.100629,0.006329,0.120253,0.006289,0,0.006329,0.050314,0.220126,0,0.009494,0.009494,0.050314,0,0.015823,0.025157,0.091772,0.006289,0,0.025157,0,0,0.041139,0.006289,0.03481,0.025316,0.050633,0.031646,0,0,0.031447,0.03481,0.025157,0,0,0.037736,0.025157,0.022152,0.050633,0.012579,0.079114,0.066456]
area_under_roc_curve
0.06941475599076508 [0.025157,0.041139,0.006289,0.996835,0,0.006289,0.009494,0.006289,0.015823,0,0.025157,0.018868,0.028481,0.037975,0.009494,0.144654,0,0.069182,0.018987,0.119497,0,0.015823,0.044025,0.012658,0,0.025157,0.075472,0,0,0,0,0,0.075472,0.012579,0.009494,0,0.022152,0.063291,0.006329,0,0.075472,0,0,0.025316,0.987342,0.142405,0,0.022152,0.018868,0.025157,0.088608,0.006329,0.012658,0.088608,0.037975,0.08805,1,0.012579,0.015823,0.018987,0.015823,0.075949,0,0.006329,0.006289,0.018868,0.098101,0.006289,0.006329,0.044025,0.031447,0.012579,0.094937,0.009494,0.056962,0.022152,0,0.025157,0.012579,0.009494,0.025316,0.006289,0.006289,0.025157,0.028481,0.015823,0,0.006329,0.018868,0.066456,0.037975,0.379747,0.012658,0.075949,0.044025,0.079114,0.044025,0,0.098101,0.018868]
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
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kappa
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kb_relative_information_score
1.6142910602625067
kb_relative_information_score
1.6142496217254196
kb_relative_information_score
1.6417082734657082
kb_relative_information_score
1.6444323950141406
kb_relative_information_score
1.7280641257498892
kb_relative_information_score
1.7411263851564425
kb_relative_information_score
1.7777846511829838
kb_relative_information_score
1.7926586408865015
kb_relative_information_score
1.7310307356816965
kb_relative_information_score
1.7462375347593089
mean_absolute_error
0.019799149265383283
mean_absolute_error
0.019799091595666018
mean_absolute_error
0.019798932954359263
mean_absolute_error
0.019798933125846654
mean_absolute_error
0.01979845314075459
mean_absolute_error
0.019798489637111692
mean_absolute_error
0.019798390089230546
mean_absolute_error
0.019798190651674475
mean_absolute_error
0.019798506990345816
mean_absolute_error
0.019798582057904815
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
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.01875
predictive_accuracy
0.01875
predictive_accuracy
0.01875
predictive_accuracy
0.01875
predictive_accuracy
0.01875
predictive_accuracy
0.01875
predictive_accuracy
0
predictive_accuracy
0.00625
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
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.0125 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.01875 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.01875 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.01875 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.01875 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.01875 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.01875 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
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
0.00625 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.9999570336052146
relative_absolute_error
0.9999541209932317
relative_absolute_error
0.9999461088060216
relative_absolute_error
0.999946117467001
relative_absolute_error
0.9999218757956847
relative_absolute_error
0.9999237190460434
relative_absolute_error
0.9999186913752784
relative_absolute_error
0.9999086187714364
relative_absolute_error
0.9999245954720092
relative_absolute_error
0.9999283867628678
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
0.09950308126340729
root_mean_squared_error
0.09950288835434815
root_mean_squared_error
0.09950213485995855
root_mean_squared_error
0.09950202343174593
root_mean_squared_error
0.09950074685731237
root_mean_squared_error
0.09950047777227787
root_mean_squared_error
0.09950048570786513
root_mean_squared_error
0.09949957906952878
root_mean_squared_error
0.09950076522728685
root_mean_squared_error
0.09950119703415096
root_relative_squared_error
1.0000435940453465
root_relative_squared_error
1.000041655236353
root_relative_squared_error
1.0000340823328018
root_relative_squared_error
1.0000329624371278
root_relative_squared_error
1.000020132381331
root_relative_squared_error
1.0000174279749787
root_relative_squared_error
1.0000175077306315
root_relative_squared_error
1.0000083956725037
root_relative_squared_error
1.0000203170065207
root_relative_squared_error
1.000024656828794
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
1864.8982270005945
usercpu_time_millis
1896.3148860002548
usercpu_time_millis
1867.1502370007147
usercpu_time_millis
1875.6101519993535
usercpu_time_millis
1887.5614840007984
usercpu_time_millis
1907.724338000662
usercpu_time_millis
1877.9667169992535
usercpu_time_millis
1893.4484350002094
usercpu_time_millis
1888.4124249998422
usercpu_time_millis
1897.0907890006856
usercpu_time_millis_testing
123.27916499998537
usercpu_time_millis_testing
134.39713800016762
usercpu_time_millis_testing
122.44717700014007
usercpu_time_millis_testing
124.57825299952674
usercpu_time_millis_testing
127.84872400061431
usercpu_time_millis_testing
143.19335200070782
usercpu_time_millis_testing
124.90745699960826
usercpu_time_millis_testing
127.27127700054552
usercpu_time_millis_testing
127.12964299953455
usercpu_time_millis_testing
136.35932300076092
usercpu_time_millis_training
1741.6190620006091
usercpu_time_millis_training
1761.9177480000872
usercpu_time_millis_training
1744.7030600005746
usercpu_time_millis_training
1751.0318989998268
usercpu_time_millis_training
1759.712760000184
usercpu_time_millis_training
1764.5309859999543
usercpu_time_millis_training
1753.0592599996453
usercpu_time_millis_training
1766.177157999664
usercpu_time_millis_training
1761.2827820003076
usercpu_time_millis_training
1760.7314659999247