10414380 1 Jan van Rijn 9956 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8252124 C 2153.7435858743875 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.9977829756725691 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.3373429905847383 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 38037 16360 shrinking true 16360 tol 0.003973205278833895 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1493 one-hundred-plants-texture https://www.openml.org/data/download/1592285/phpoOxxNn -1 21750569 description https://api.openml.org/data/download/21750569/description.xml -1 21750570 predictions https://api.openml.org/data/download/21750570/predictions.arff area_under_roc_curve 0.9159827108737413 [0.932702,0.936552,0.874684,0.904671,0.873737,0.935921,0.90625,0.779987,0.968118,0.936868,0.96875,0.716539,0.936868,0.999684,0.874684,1,0.840907,0.967802,0.968434,0.905618,0.999684,0.778407,0.937184,0.96875,0.715276,0.999684,0.779671,0.748421,0.999368,0.968118,0.968118,1,0.873421,0.936552,0.936868,0.654355,0.934973,0.937184,0.968434,0.874684,1,0.842487,0.747789,0.842171,0.843118,0.967487,0.872473,0.968118,0.843118,0.936868,0.840591,0.968434,0.967802,0.9375,0.873737,0.904039,1,0.840907,0.999368,1,1,0.968434,0.937184,0.936552,0.96875,0.936868,0.96875,0.842171,0.90625,0.874368,0.999368,0.810605,1,0.936868,0.96875,0.96875,0.998737,0.999684,0.937184,0.905302,0.9375,0.811552,0.747789,0.905618,0.936868,0.9375,0.749684,0.905934,0.999684,0.935605,0.905934,0.842802,0.936552,0.96875,0.968118,0.967487,0.905934,0.96875,0.999052,0.999684] average_cost 0 f_measure 0.8330855621830127 [0.866667,0.848485,0.827586,0.764706,0.75,0.8,0.896552,0.62069,0.909091,0.875,0.967742,0.466667,0.875,0.969697,0.827586,1,0.611111,0.882353,0.9375,0.83871,0.969697,0.529412,0.903226,0.967742,0.411765,0.969697,0.6,0.551724,0.941176,0.909091,0.909091,1,0.727273,0.848485,0.875,0.37037,0.736842,0.903226,0.9375,0.827586,1,0.709677,0.516129,0.6875,0.758621,0.857143,0.666667,0.909091,0.758621,0.875,0.594595,0.9375,0.882353,0.933333,0.75,0.722222,1,0.611111,0.941176,1,1,0.9375,0.903226,0.848485,0.967742,0.875,0.967742,0.6875,0.896552,0.8,0.941176,0.625,1,0.875,0.967742,0.967742,0.888889,0.969697,0.903226,0.8125,0.933333,0.689655,0.516129,0.83871,0.875,0.933333,0.64,0.866667,0.969697,0.777778,0.866667,0.733333,0.848485,0.967742,0.909091,0.857143,0.866667,0.967742,0.914286,0.969697] kappa 0.8319656199036675 kb_relative_information_score 0.8332870003949568 mean_absolute_error 0.003327079424640384 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] precision 0.8394379186077556 [0.866667,0.823529,0.923077,0.722222,0.75,0.736842,1,0.692308,0.882353,0.875,1,0.5,0.875,0.941176,0.923077,1,0.55,0.833333,0.9375,0.866667,0.941176,0.5,0.933333,1,0.388889,0.941176,0.642857,0.615385,0.888889,0.882353,0.882353,1,0.705882,0.823529,0.875,0.454545,0.636364,0.933333,0.9375,0.923077,1,0.733333,0.533333,0.6875,0.846154,0.789474,0.6,0.882353,0.846154,0.875,0.52381,0.9375,0.833333,1,0.75,0.65,1,0.55,0.888889,1,1,0.9375,0.933333,0.823529,1,0.875,1,0.6875,1,0.857143,0.888889,0.625,1,0.875,1,1,0.8,0.941176,0.933333,0.8125,1,0.769231,0.533333,0.866667,0.875,1,0.888889,0.928571,0.941176,0.7,0.928571,0.785714,0.823529,1,0.882353,0.789474,0.928571,1,0.842105,0.941176] predictive_accuracy 0.83364602876798 prior_entropy 6.643827772868604 recall 0.83364602876798 [0.866667,0.875,0.75,0.8125,0.75,0.875,0.8125,0.5625,0.9375,0.875,0.9375,0.4375,0.875,1,0.75,1,0.6875,0.9375,0.9375,0.8125,1,0.5625,0.875,0.9375,0.4375,1,0.5625,0.5,1,0.9375,0.9375,1,0.75,0.875,0.875,0.3125,0.875,0.875,0.9375,0.75,1,0.6875,0.5,0.6875,0.6875,0.9375,0.75,0.9375,0.6875,0.875,0.6875,0.9375,0.9375,0.875,0.75,0.8125,1,0.6875,1,1,1,0.9375,0.875,0.875,0.9375,0.875,0.9375,0.6875,0.8125,0.75,1,0.625,1,0.875,0.9375,0.9375,1,1,0.875,0.8125,0.875,0.625,0.5,0.8125,0.875,0.875,0.5,0.8125,1,0.875,0.8125,0.6875,0.875,0.9375,0.9375,0.9375,0.8125,0.9375,1,1] relative_absolute_error 0.16803437622814268 root_mean_prior_squared_error 0.09949872432040595 root_mean_squared_error 0.057680841053510866 root_relative_squared_error 0.5797143777217378 total_cost 0 area_under_roc_curve 0.9212045219329672 [1,1,0.5,1,0.75,0.996835,0.75,0.5,1,1,1,0.5,1,1,1,1,0.996835,0.996855,1,1,1,0.75,1,0.75,0.5,0.996855,1,0.996835,1,0.5,0.996835,1,1,1,1,0.75,0.996855,1,1,0.75,1,0.993711,0.996855,1,1,1,0.746835,0.996855,0.75,0.996835,0.990566,1,1,1,1,1,1,0.990566,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.996855,1,1,0.746835,0.75,1,1,0.5,0.75,0.996835,0.746835,0.75,0.75,0.993711,1,0.75,0.75,1,1,1,1] area_under_roc_curve 0.9147758936390415 [1,0.5,1,0.996835,1,0.5,1,0.996855,1,0.996835,1,0.743671,0.996835,1,0.75,1,0.75,1,1,0.746835,1,0.75,1,1,0.490506,1,0.496855,0.746835,1,1,1,1,1,1,0.993711,0.5,1,0.996855,1,0.75,1,1,0.5,0.75,1,1,0.493671,0.996855,1,1,0.996855,1,1,1,0.996855,0.746835,1,0.996855,1,1,1,0.75,1,1,1,0.75,1,0.5,1,0.75,1,0.75,1,1,1,1,1,1,0.996855,1,1,1,0.496855,1,1,1,0.75,1,1,1,1,0.996835,1,1,1,1,1,1,0.993671,1] area_under_roc_curve 0.9242894673990925 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[0.996835,0.996835,0.75,0.996855,0.996855,1,1,0.5,0.996855,0.5,1,1,0.5,1,0.5,1,0.75,1,1,1,1,0.5,0.75,1,0.5,1,0.743671,0.996855,0.996835,1,1,1,0.993671,1,1,0.5,1,1,1,0.5,1,0.996835,0.746835,0.75,0.993671,0.75,1,1,1,0.996855,0.746835,1,1,1,0.75,0.75,1,1,0.996835,1,1,1,1,0.996835,1,1,1,1,1,0.996835,1,1,1,0.996835,1,1,0.993711,1,1,1,0.5,0.75,0.496855,1,1,1,0.75,1,1,0.996855,0.5,0.996835,1,0.5,1,1,0.75,1,1,0.996835] area_under_roc_curve 0.9179603534750418 [1,0.996835,1,0.5,0.996855,0.996855,1,0.75,1,1,1,0.5,1,1,1,1,0.75,0.996835,1,1,1,0.996855,1,1,0.996855,1,0.5,0.5,1,0.996835,0.5,1,1,0.996835,1,0.493711,0.996835,1,1,0.996855,1,0.75,0.993671,1,1,1,1,1,1,1,0.990506,0.5,1,1,1,0.990506,1,0.75,1,1,1,1,0.75,1,1,1,1,0.746835,0.75,1,1,0.493711,1,1,1,1,1,1,0.75,0.75,1,0.496855,0.5,0.996855,0.75,1,1,0.5,1,0.996855,0.5,1,0.75,1,1,1,0.75,1,1,1] area_under_roc_curve 0.9147758936390413 [1,1,1,1,1,1,1,0.746835,1,1,1,0.493671,1,1,1,1,0.496855,1,1,0.996835,1,0.993711,0.5,1,0.996835,1,0.75,0.493711,1,1,1,1,0.75,1,0.75,0.746835,0.75,1,1,1,1,1,0.996835,1,0.5,1,1,1,1,1,1,1,0.996835,1,1,0.5,1,0.746835,0.996835,1,1,1,1,0.746835,1,0.996855,1,0.75,0.5,0.5,0.996855,1,1,0.5,1,1,0.993711,0.996835,1,0.996835,1,0.5,0.5,1,1,1,0.5,0.996835,1,0.993671,1,0.5,1,1,0.993711,1,1,1,1,1] area_under_roc_curve 0.9052424170050154 [0.496855,0.996835,0.746835,1,0.5,1,1,0.996835,0.75,0.5,0.75,0.75,1,1,1,1,0.990566,0.75,1,0.75,1,0.996855,1,1,0.496835,1,0.746835,0.5,1,1,1,1,0.5,1,1,0.75,0.996835,0.75,1,1,1,0.5,0.746835,0.496855,1,1,0.996855,1,1,1,0.75,1,0.996835,1,0.996835,0.996855,1,0.993671,1,1,1,1,1,1,1,0.996835,1,0.746835,1,1,1,0.996855,1,0.996835,1,1,1,1,0.75,0.746835,1,0.5,0.993671,0.5,0.746835,1,0.5,0.75,1,1,1,1,1,1,1,0.993671,0.996835,1,1,1] area_under_roc_curve 0.9211846190589916 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0.8421031855682312 kappa 0.8294243070362474 kappa 0.8483711747285291 kappa 0.8168035375868604 kappa 0.8293771475966666 kappa 0.835715978200774 kappa 0.8294040990403981 kappa 0.810434027092137 kappa 0.8420844848006317 kappa 0.8346928982725528 kb_relative_information_score 0.8434345213177987 kb_relative_information_score 0.8309092830232225 kb_relative_information_score 0.8496971404650868 kb_relative_information_score 0.8183840447286466 kb_relative_information_score 0.8309092830232225 kb_relative_information_score 0.8371585044015954 kb_relative_information_score 0.8308953699555027 kb_relative_information_score 0.8120244916162557 kb_relative_information_score 0.843421638847688 kb_relative_information_score 0.8360524414715731 mean_absolute_error 0.0031250000000000006 mean_absolute_error 0.003375000000000001 mean_absolute_error 0.003000000000000001 mean_absolute_error 0.003625000000000001 mean_absolute_error 0.003375000000000001 mean_absolute_error 0.0032500000000000007 mean_absolute_error 0.003375000000000001 mean_absolute_error 0.003750000000000001 mean_absolute_error 0.0031250000000000006 mean_absolute_error 0.003270440251572328 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 0.84375 predictive_accuracy 0.83125 predictive_accuracy 0.85 predictive_accuracy 0.81875 predictive_accuracy 0.83125 predictive_accuracy 0.8375 predictive_accuracy 0.83125 predictive_accuracy 0.8125 predictive_accuracy 0.84375 predictive_accuracy 0.8364779874213837 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 0.84375 [1,1,0,1,0.5,1,0.5,0,1,1,1,0,1,1,1,1,1,1,1,1,1,0.5,1,0.5,0,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,0.5,1,1,1,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,1,0,0.5,1,0.5,0.5,0.5,1,1,0.5,0.5,1,1,1,1] recall 0.83125 [1,0,1,1,1,0,1,1,1,1,1,0.5,1,1,0.5,1,0.5,1,1,0.5,1,0.5,1,1,0,1,0,0.5,1,1,1,1,1,1,1,0,1,1,1,0.5,1,1,0,0.5,1,1,0,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,1,1,1,0.5,1,0,1,0.5,1,0.5,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1] recall 0.85 [1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,0,1,1,0.5,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0,1,1,0.5,0.5,1,0,1,1,1,0,1,1,0,1,1,1,1,0,0,1,1,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,0.5,1,0.5,1,1,1,0.5,0,1,1,0,1,0.5,1,1,1,1,1,1,1,1] recall 0.81875 [1,1,0.5,1,1,1,0.5,0,1,1,1,1,1,1,0.5,1,0.5,1,0.5,1,1,0.5,1,1,1,1,1,0,1,1,1,1,0.5,0.5,1,0,1,0.5,0,1,1,1,0,1,0.5,1,1,1,0,1,1,1,0.5,0.5,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,0.5,0.5,1,1,1,1,1,0.5,1,1,1,0.5,1,1,1,1,1,0.5,0.5,1,1,1,0.5,1,1,1] recall 0.83125 [1,1,0.5,1,1,1,1,0,1,0,1,1,0,1,0,1,0.5,1,1,1,1,0,0.5,1,0,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,0.5,0.5,1,0.5,1,1,1,1,0.5,1,1,1,0.5,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0.5,0,1,1,1,0.5,1,1,1,0,1,1,0,1,1,0.5,1,1,1] recall 0.8375 [1,1,1,0,1,1,1,0.5,1,1,1,0,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0.5,1,1,1,1,0.5,1,1,1,1,0.5,0.5,1,1,0,1,1,1,1,1,1,0.5,0.5,1,0,0,1,0.5,1,1,0,1,1,0,1,0.5,1,1,1,0.5,1,1,1] recall 0.83125 [1,1,1,1,1,1,1,0.5,1,1,1,0,1,1,1,1,0,1,1,1,1,1,0,1,1,1,0.5,0,1,1,1,1,0.5,1,0.5,0.5,0.5,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0,1,0.5,1,1,1,1,1,0.5,1,1,1,0.5,0,0,1,1,1,0,1,1,1,1,1,1,1,0,0,1,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1] recall 0.8125 [0,1,0.5,1,0,1,1,1,0.5,0,0.5,0.5,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0,1,0.5,0,1,1,1,1,0,1,1,0.5,1,0.5,1,1,1,0,0.5,0,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,0.5,0.5,1,0,1,0,0.5,1,0,0.5,1,1,1,1,1,1,1,1,1,1,1,1] recall 0.84375 [1,1,1,0.5,1,1,1,1,1,1,1,0.5,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,0.5,1,1,1,1,1,1,0,0.5,0.5,1,1,1,1,0.5,0,0,1,1,1,1,0.5,0.5,0.5,1,1,0.5,0.5,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,1,0,1,0,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1] recall 0.8364779874213837 [0,0.5,1,0.5,0.5,1,0.5,1,1,1,1,0.5,0.5,1,1,1,1,1,1,0.5,1,1,1,1,0.5,1,0.5,1,1,1,1,1,1,1,1,0,1,1,1,0.5,1,0.5,0,0,1,1,0,1,0.5,0.5,0.5,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,0.5,0,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1] relative_absolute_error 0.1578280482457771 relative_absolute_error 0.17045429210543925 relative_absolute_error 0.15151492631594604 relative_absolute_error 0.18308053596510146 relative_absolute_error 0.17045429210543936 relative_absolute_error 0.1641417800914832 relative_absolute_error 0.1704549254796172 relative_absolute_error 0.18939436164401907 relative_absolute_error 0.15782863470334912 relative_absolute_error 0.16517411447096358 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 0.05590169943749475 root_mean_squared_error 0.058094750193111264 root_mean_squared_error 0.05477225575051662 root_mean_squared_error 0.06020797289396149 root_mean_squared_error 0.058094750193111264 root_mean_squared_error 0.0570087712549569 root_mean_squared_error 0.058094750193111264 root_mean_squared_error 0.061237243569579464 root_mean_squared_error 0.05590169943749475 root_mean_squared_error 0.057187763127895884 root_relative_squared_error 0.5618322863420082 root_relative_squared_error 0.5838732391661664 root_relative_squared_error 0.5504809690236683 root_relative_squared_error 0.6051118911841796 root_relative_squared_error 0.5838732391661664 root_relative_squared_error 0.5729608872854781 root_relative_squared_error 0.5838754087228114 root_relative_squared_error 0.6154587204419427 root_relative_squared_error 0.5618343739988633 root_relative_squared_error 0.5747598135617934 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 363.70231000000786 usercpu_time_millis 358.66179799995734 usercpu_time_millis 368.29213299984076 usercpu_time_millis 361.46534800013796 usercpu_time_millis 362.25169999988793 usercpu_time_millis 369.7265610001068 usercpu_time_millis 365.2784920002432 usercpu_time_millis 361.4490500001466 usercpu_time_millis 363.76081000025806 usercpu_time_millis 359.69108500012226 usercpu_time_millis_testing 63.67240800000218 usercpu_time_millis_testing 62.55868399989595 usercpu_time_millis_testing 64.46089099995334 usercpu_time_millis_testing 63.65397800004757 usercpu_time_millis_testing 62.969486999918445 usercpu_time_millis_testing 66.57390600003055 usercpu_time_millis_testing 62.690333000091414 usercpu_time_millis_testing 64.28743400010717 usercpu_time_millis_testing 65.44910700017681 usercpu_time_millis_testing 62.18010600014168 usercpu_time_millis_training 300.0299020000057 usercpu_time_millis_training 296.1031140000614 usercpu_time_millis_training 303.8312419998874 usercpu_time_millis_training 297.8113700000904 usercpu_time_millis_training 299.2822129999695 usercpu_time_millis_training 303.15265500007627 usercpu_time_millis_training 302.5881590001518 usercpu_time_millis_training 297.16161600003943 usercpu_time_millis_training 298.31170300008125 usercpu_time_millis_training 297.5109789999806 wall_clock_time_millis 363.70038986206055 wall_clock_time_millis 358.6540222167969 wall_clock_time_millis 368.2904243469238 wall_clock_time_millis 363.14988136291504 wall_clock_time_millis 362.24865913391113 wall_clock_time_millis 369.7183132171631 wall_clock_time_millis 365.27037620544434 wall_clock_time_millis 361.44089698791504 wall_clock_time_millis 363.7518882751465 wall_clock_time_millis 359.6832752227783 wall_clock_time_millis_testing 63.67325782775879 wall_clock_time_millis_testing 62.55936622619629 wall_clock_time_millis_testing 64.46123123168945 wall_clock_time_millis_testing 65.34218788146973 wall_clock_time_millis_testing 62.96992301940918 wall_clock_time_millis_testing 66.5743350982666 wall_clock_time_millis_testing 62.69097328186035 wall_clock_time_millis_testing 64.28766250610352 wall_clock_time_millis_testing 65.44923782348633 wall_clock_time_millis_testing 62.18099594116211 wall_clock_time_millis_training 300.02713203430176 wall_clock_time_millis_training 296.0946559906006 wall_clock_time_millis_training 303.8291931152344 wall_clock_time_millis_training 297.8076934814453 wall_clock_time_millis_training 299.27873611450195 wall_clock_time_millis_training 303.1439781188965 wall_clock_time_millis_training 302.579402923584 wall_clock_time_millis_training 297.1532344818115 wall_clock_time_millis_training 298.30265045166016 wall_clock_time_millis_training 297.5022792816162