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 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "most_frequent" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 0.09808216152565546 7708 cache_size 200 7708 class_weight null 7708 coef0 0.7546143884799357 7708 decision_function_shape null 7708 degree 4 7708 gamma 0.0008377165261212127 7708 kernel "poly" 7708 max_iter -1 7708 probability true 7708 random_state 5501 7708 shrinking true 7708 tol 0.0002830503572018342 7708 verbose false 7708 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 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[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 0.07005164795796513 [0.037736,0.044304,0,1,0,0,0,0,0.012658,0,0.012579,0.012579,0.056962,0.022152,0.490506,0.150943,0,0.012579,0.022152,0.125786,0.047468,0.063291,0,0.006329,0.012658,0.006289,0.062893,0.018987,0.003165,0.012579,0,0,0.138365,0,0.012658,0.006329,0.012658,0.053797,0.006329,0,0.012579,0.009494,0,0.015823,0.984177,0.044304,0,0.022152,0.012579,0.012579,0.041139,0.006329,0.028481,0.050633,0.003165,0.031447,1,0,0.03481,0.044304,0.006329,0.053797,0.012658,0.015823,0.012579,0.031447,0.06962,0,0,0.018868,0.037736,0,0.018987,0.041139,0.123418,0.025316,0,0.113208,0.006289,0.006329,0.009494,0.037736,0.025157,0.006289,0.044304,0.028481,0,0.025316,0.012579,0.066456,0.060127,0,0,0.094937,0,0.037975,0.144654,0.025316,0.113924,0.006289] 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 0 kappa 0 kappa 0.006407720908155999 kappa 0.006368418970768561 kappa 0.006407720908155999 kappa 0.006368418970768561 kappa 0.006329113924050631 kappa 0.006329113924050631 kappa -0.012658227848101266 kappa -0.006329113924050633 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