10401643 1 Jan van Rijn 9954 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8239412 C 0.3984313033266923 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.020196919559932296 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 38753 16360 shrinking false 16360 tol 1.7334495176044944e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 21725071 description https://api.openml.org/data/download/21725071/description.xml -1 21725072 predictions https://api.openml.org/data/download/21725072/predictions.arff area_under_roc_curve 0.596906565656566 [0.554293,0.617109,0.624369,0.624369,0.622475,0.620581,0.624053,0.619318,0.560922,0.625,0.58649,0.620581,0.621528,0.561553,0.623422,0.620581,0.625,0.520202,0.578598,0.557449,0.530934,0.53125,0.588068,0.622159,0.5625,0.498106,0.555871,0.590278,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.619003,0.553977,0.621212,0.623737,0.587121,0.618056,0.624369,0.621843,0.589646,0.622475,0.622475,0.621212,0.618371,0.585859,0.559659,0.589331,0.619318,0.591225,0.620265,0.527146,0.624684,0.586806,0.584912,0.621528,0.62279,0.592803,0.618371,0.56029,0.619003,0.586806,0.554924,0.623737,0.590278,0.585859,0.593119,0.592803,0.619318,0.592487,0.557134,0.620581,0.621528,0.620896,0.623737,0.62279,0.529356,0.590909,0.620265,0.590593,0.621212,0.619949,0.624369,0.557134,0.593119,0.616162,0.52904,0.624684,0.621843,0.613636,0.615215,0.623106,0.616162,0.559343,0.498106,0.621528] average_cost 0 f_measure 0.21543417525862044 [0.090909,0.177778,0.363636,0.363636,0.285714,0.235294,0.347826,0.210526,0.173913,0.4,0.142857,0.235294,0.258065,0.190476,0.32,0.235294,0.4,0.038462,0.089552,0.117647,0.111111,0.117647,0.162162,0.275862,0.222222,0,0.102564,0.2,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.205128,0.088889,0.25,0.333333,0.15,0.190476,0.363636,0.266667,0.1875,0.285714,0.285714,0.25,0.195122,0.136364,0.148148,0.181818,0.210526,0.222222,0.228571,0.066667,0.380952,0.146341,0.12766,0.258065,0.296296,0.272727,0.195122,0.16,0.205128,0.146341,0.095238,0.333333,0.2,0.136364,0.285714,0.272727,0.210526,0.26087,0.114286,0.235294,0.258065,0.242424,0.333333,0.296296,0.086957,0.214286,0.228571,0.206897,0.25,0.222222,0.363636,0.114286,0.285714,0.166667,0.083333,0.380952,0.266667,0.142857,0.156863,0.307692,0.166667,0.142857,0,0.258065] kappa 0.1938131313131313 kb_relative_information_score 0.20013316984408963 mean_absolute_error 0.015962499999999716 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] precision 0.3085859875122658 [0.071429,0.137931,0.666667,0.666667,0.333333,0.222222,0.571429,0.181818,0.285714,1,0.115385,0.222222,0.266667,0.4,0.444444,0.222222,1,0.027778,0.058824,0.111111,0.5,1,0.142857,0.307692,1,0,0.086957,0.214286,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.173913,0.068966,0.25,0.5,0.125,0.153846,0.666667,0.285714,0.1875,0.333333,0.333333,0.25,0.16,0.107143,0.181818,0.176471,0.181818,0.272727,0.210526,0.071429,0.8,0.12,0.096774,0.266667,0.363636,0.5,0.16,0.222222,0.173913,0.12,0.076923,0.5,0.214286,0.107143,0.6,0.5,0.181818,0.428571,0.105263,0.222222,0.266667,0.235294,0.5,0.363636,0.142857,0.25,0.210526,0.230769,0.25,0.2,0.666667,0.105263,0.6,0.125,0.125,0.8,0.285714,0.1,0.114286,0.4,0.125,0.166667,0,0.266667] predictive_accuracy 0.201875 prior_entropy 6.643856189774611 recall 0.201875 [0.125,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.1875,0.25,0.25,0.125,0.25,0.25,0.25,0.0625,0.1875,0.125,0.0625,0.0625,0.1875,0.25,0.125,0,0.125,0.1875,0.25,0.125,0.25,0.125,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.25,0.1875,0.25,0.25,0.25,0.1875,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.125,0.25,0.1875,0.1875,0.1875,0.1875,0.25,0.1875,0.125,0.25,0.25,0.25,0.25,0.25,0.0625,0.1875,0.25,0.1875,0.25,0.25,0.25,0.125,0.1875,0.25,0.0625,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0,0.25] relative_absolute_error 0.8061868686868529 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.12634278768493165 root_relative_squared_error 1.2697927930862207 total_cost 0 area_under_roc_curve 0.5943396226415091 [0.481132,0.5,0.5,1,0.5,0.984277,0.5,0.990566,0.5,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.977987,0.496855,0.5,0.974843,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.996855,0.987421,0.990566,0.5,0.974843,0.987421,0.5,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.5,0.987421,0.5,0.993711,0.490566,0.5,0.965409,0.493711,0.5,0.993711,0.993711,0.5,0.5,0.984277,0.5,0.5,0.993711,0.990566,0.477987,0.5,0.993711,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.990566] area_under_roc_curve 0.6069182389937106 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[0.5,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,0.5,0.5,0.987421,1,0.5,0.5,0.990566,0.5,0.5,1,0.5,0.5,0.5,0.959119,0.996855,0.971698,0.468553,0.990566,0.5,0.5,0.984277,1,0.977987,0.5,0.990566,0.5,0.990566,0.5,0.5,0.5,0.993711,0.990566,0.5,0.981132,0.5,1,0.5,0.962264,0.5,0.996855,0.5,0.5,0.487421,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.981132,0.5,0.984277,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.996855,0.990566,0.996855,0.5,0.5,0.977987,0.5,0.996855,1,0.5,0.5,1,0.5,0.5,0.496855,0.5] area_under_roc_curve 0.6069182389937104 [0.5,0.5,0.5,0.996855,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.996855,0.5,0.5,0.5,0.987421,0.5,0.5,0.996855,0.5,0.5,0.5,0.974843,0.993711,0.977987,0.474843,0.990566,0.5,0.5,0.977987,0.996855,0.993711,0.5,0.990566,0.5,0.990566,0.5,0.5,0.5,0.990566,0.990566,0.5,0.981132,0.5,1,0.5,0.968553,0.5,0.990566,1,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.984277,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.984277,1,0.5,0.5,0.965409,0.5,1,0.993711,0.5,0.5,0.987421,0.5,0.5,0.490566,0.5] area_under_roc_curve 0.5911949685534589 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[0.993711,0.5,0.993711,0.5,0.5,0.990566,0.5,0.981132,0.5,1,0.981132,1,0.5,0.5,0.5,0.981132,1,0.474843,0.5,0.496855,0.5,0.5,0.993711,0.5,0.5,0.493711,0.484277,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.984277,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.984277,0.974843,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.993711,0.5,0.996855,0.5,0.977987,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.993711,0.993711,0.5,0.5,0.493711,0.984277,0.493711,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.977987,0.5,0.965409,0.5,0.5,0.990566] 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 0.18867924528301885 kappa 0.21383647798742136 kappa 0.1949685534591195 kappa 0.21383647798742136 kappa 0.18238993710691823 kappa 0.20754716981132074 kappa 0.18867924528301885 kappa 0.18867924528301885 kappa 0.1949685534591195 kappa 0.1949685534591195 kb_relative_information_score 0.19199043782213684 kb_relative_information_score 0.21704499788966752 kb_relative_information_score 0.19825407783901952 kb_relative_information_score 0.21704499788966752 kb_relative_information_score 0.1857267978052542 kb_relative_information_score 0.21078135787278487 kb_relative_information_score 0.19199043782213684 kb_relative_information_score 0.1919904378221369 kb_relative_information_score 0.19825407783901952 kb_relative_information_score 0.19825407783901952 mean_absolute_error 0.01612500000000001 mean_absolute_error 0.01562500000000001 mean_absolute_error 0.01600000000000001 mean_absolute_error 0.01562500000000001 mean_absolute_error 0.01625000000000001 mean_absolute_error 0.01575000000000001 mean_absolute_error 0.01612500000000001 mean_absolute_error 0.01612500000000001 mean_absolute_error 0.01600000000000001 mean_absolute_error 0.01600000000000001 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 0.19375 predictive_accuracy 0.21875 predictive_accuracy 0.2 predictive_accuracy 0.21875 predictive_accuracy 0.1875 predictive_accuracy 0.2125 predictive_accuracy 0.19375 predictive_accuracy 0.19375 predictive_accuracy 0.2 predictive_accuracy 0.2 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 prior_entropy 6.643856189774732 recall 0.19375 [0,0,0,1,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,0,0,1,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,1] recall 0.21875 [1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,1,0,1,1,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,1] recall 0.2 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0] recall 0.21875 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0] recall 0.1875 [0,1,0,0,1,0,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0] recall 0.2125 [0,1,0,0,1,0,1,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0] recall 0.19375 [0,1,1,0,1,0,0,0,1,0,1,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0] recall 0.19375 [0,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0] recall 0.2 [0,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1] recall 0.2 [1,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,1,0,1,0,1,0,1,0,0,0,0,1,1,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1] relative_absolute_error 0.8143939393939387 relative_absolute_error 0.7891414141414134 relative_absolute_error 0.8080808080808072 relative_absolute_error 0.7891414141414134 relative_absolute_error 0.8207070707070698 relative_absolute_error 0.7954545454545446 relative_absolute_error 0.8143939393939387 relative_absolute_error 0.8143939393939387 relative_absolute_error 0.8080808080808072 relative_absolute_error 0.8080808080808072 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 0.12698425099200297 root_mean_squared_error 0.12500000000000003 root_mean_squared_error 0.12649110640673522 root_mean_squared_error 0.12500000000000003 root_mean_squared_error 0.12747548783981966 root_mean_squared_error 0.12549900398011138 root_mean_squared_error 0.12698425099200297 root_mean_squared_error 0.12698425099200297 root_mean_squared_error 0.12649110640673522 root_mean_squared_error 0.12649110640673522 root_relative_squared_error 1.2762397418933003 root_relative_squared_error 1.2562972690740146 root_relative_squared_error 1.271283452327456 root_relative_squared_error 1.2562972690740146 root_relative_squared_error 1.2811768579763452 root_relative_squared_error 1.2613124477737823 root_relative_squared_error 1.2762397418933003 root_relative_squared_error 1.2762397418933003 root_relative_squared_error 1.271283452327456 root_relative_squared_error 1.271283452327456 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 715.2175889998489 usercpu_time_millis 715.3342550000161 usercpu_time_millis 716.7431670000042 usercpu_time_millis 717.2969190000913 usercpu_time_millis 716.8298050000885 usercpu_time_millis 720.5465089998597 usercpu_time_millis 716.9847400000435 usercpu_time_millis 716.6043150000405 usercpu_time_millis 716.4629839999179 usercpu_time_millis 717.1817200003261 usercpu_time_millis_testing 63.220033999868974 usercpu_time_millis_testing 63.20556600007876 usercpu_time_millis_testing 63.47726500007411 usercpu_time_millis_testing 63.45226600001297 usercpu_time_millis_testing 63.427623000052336 usercpu_time_millis_testing 63.79346199992142 usercpu_time_millis_testing 63.250269000036496 usercpu_time_millis_testing 63.36229899989121 usercpu_time_millis_testing 63.47245799997836 usercpu_time_millis_testing 63.56969000012214 usercpu_time_millis_training 651.9975549999799 usercpu_time_millis_training 652.1286889999374 usercpu_time_millis_training 653.2659019999301 usercpu_time_millis_training 653.8446530000783 usercpu_time_millis_training 653.4021820000362 usercpu_time_millis_training 656.7530469999383 usercpu_time_millis_training 653.734471000007 usercpu_time_millis_training 653.2420160001493 usercpu_time_millis_training 652.9905259999396 usercpu_time_millis_training 653.612030000204 wall_clock_time_millis 715.2373790740967 wall_clock_time_millis 715.3520584106445 wall_clock_time_millis 716.7527675628662 wall_clock_time_millis 717.3230648040771 wall_clock_time_millis 716.850996017456 wall_clock_time_millis 720.5753326416016 wall_clock_time_millis 717.003583908081 wall_clock_time_millis 716.6249752044678 wall_clock_time_millis 716.4716720581055 wall_clock_time_millis 717.1919345855713 wall_clock_time_millis_testing 63.22789192199707 wall_clock_time_millis_testing 63.213348388671875 wall_clock_time_millis_testing 63.48562240600586 wall_clock_time_millis_testing 63.4613037109375 wall_clock_time_millis_testing 63.436031341552734 wall_clock_time_millis_testing 63.80629539489746 wall_clock_time_millis_testing 63.25793266296387 wall_clock_time_millis_testing 63.37118148803711 wall_clock_time_millis_testing 63.48109245300293 wall_clock_time_millis_testing 63.57884407043457 wall_clock_time_millis_training 652.0094871520996 wall_clock_time_millis_training 652.1387100219727 wall_clock_time_millis_training 653.2671451568604 wall_clock_time_millis_training 653.8617610931396 wall_clock_time_millis_training 653.4149646759033 wall_clock_time_millis_training 656.7690372467041 wall_clock_time_millis_training 653.7456512451172 wall_clock_time_millis_training 653.2537937164307 wall_clock_time_millis_training 652.9905796051025 wall_clock_time_millis_training 653.6130905151367