10410077 1 Jan van Rijn 9954 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8247841 C 0.03801594490067017 16360 cache_size 200 16360 class_weight null 16360 coef0 0.45901330819443675 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 7.88539208227925e-05 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 47603 16360 shrinking false 16360 tol 0.007873864282642869 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 21741947 description https://api.openml.org/data/download/21741947/description.xml -1 21741948 predictions https://api.openml.org/data/download/21741948/predictions.arff area_under_roc_curve 0.5969065656565656 [0.554609,0.617109,0.624369,0.624369,0.622475,0.620896,0.624053,0.619318,0.560922,0.625,0.58649,0.620581,0.621843,0.561553,0.623106,0.620265,0.625,0.551452,0.578283,0.557449,0.530934,0.53125,0.587437,0.622159,0.5625,0.498106,0.555871,0.590278,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.619003,0.553977,0.621212,0.623737,0.58649,0.618056,0.624369,0.621843,0.590278,0.622475,0.622475,0.620896,0.61774,0.585859,0.559659,0.589331,0.619003,0.591225,0.620265,0.527146,0.624684,0.587121,0.584912,0.621528,0.62279,0.592803,0.618371,0.56029,0.619003,0.587121,0.55524,0.623737,0.590593,0.585859,0.593119,0.592803,0.619318,0.592487,0.557134,0.620265,0.621843,0.620896,0.623737,0.62279,0.529356,0.590909,0.620581,0.590593,0.621212,0.619949,0.624684,0.557449,0.592803,0.616162,0.52904,0.624684,0.621843,0.613005,0.615215,0.623106,0.616477,0.559343,0.498422,0.590278] average_cost 0 f_measure 0.21526303105832598 [0.093023,0.177778,0.363636,0.363636,0.285714,0.242424,0.347826,0.210526,0.173913,0.4,0.142857,0.235294,0.266667,0.190476,0.307692,0.228571,0.4,0.075472,0.088235,0.117647,0.111111,0.117647,0.153846,0.275862,0.222222,0,0.102564,0.2,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.205128,0.088889,0.25,0.333333,0.142857,0.190476,0.363636,0.266667,0.2,0.285714,0.285714,0.242424,0.186047,0.136364,0.148148,0.181818,0.205128,0.222222,0.228571,0.066667,0.380952,0.15,0.12766,0.258065,0.296296,0.272727,0.195122,0.16,0.205128,0.15,0.097561,0.333333,0.206897,0.136364,0.285714,0.272727,0.210526,0.26087,0.114286,0.228571,0.266667,0.242424,0.333333,0.296296,0.086957,0.214286,0.235294,0.206897,0.25,0.222222,0.380952,0.117647,0.272727,0.166667,0.083333,0.380952,0.266667,0.137931,0.156863,0.307692,0.170213,0.142857,0,0.2] 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 0.3086733231498075 [0.074074,0.137931,0.666667,0.666667,0.333333,0.235294,0.571429,0.181818,0.285714,1,0.115385,0.222222,0.285714,0.4,0.4,0.210526,1,0.054054,0.057692,0.111111,0.5,1,0.130435,0.307692,1,0,0.086957,0.214286,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.173913,0.068966,0.25,0.5,0.115385,0.153846,0.666667,0.285714,0.214286,0.333333,0.333333,0.235294,0.148148,0.107143,0.181818,0.176471,0.173913,0.272727,0.210526,0.071429,0.8,0.125,0.096774,0.266667,0.363636,0.5,0.16,0.222222,0.173913,0.125,0.08,0.5,0.230769,0.107143,0.6,0.5,0.181818,0.428571,0.105263,0.210526,0.285714,0.235294,0.5,0.363636,0.142857,0.25,0.222222,0.230769,0.25,0.2,0.8,0.111111,0.5,0.125,0.125,0.8,0.285714,0.095238,0.114286,0.4,0.129032,0.166667,0,0.214286] predictive_accuracy 0.201875 prior_entropy 6.643856189774611 recall 0.201875 [0.125,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.1875,0.25,0.25,0.125,0.25,0.25,0.25,0.125,0.1875,0.125,0.0625,0.0625,0.1875,0.25,0.125,0,0.125,0.1875,0.25,0.125,0.25,0.125,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.25,0.1875,0.25,0.25,0.25,0.1875,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.125,0.25,0.1875,0.1875,0.1875,0.1875,0.25,0.1875,0.125,0.25,0.25,0.25,0.25,0.25,0.0625,0.1875,0.25,0.1875,0.25,0.25,0.25,0.125,0.1875,0.25,0.0625,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0,0.1875] 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 0.5943396226415092 [0.481132,0.5,0.5,1,0.5,0.987421,0.5,0.990566,0.5,1,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.977987,0.496855,0.5,0.974843,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.996855,0.987421,0.990566,0.5,0.968553,0.987421,0.5,0.5,0.5,0.5,0.993711,0.990566,0.5,0.5,0.5,0.5,0.984277,0.5,0.993711,0.490566,0.5,0.968553,0.493711,0.5,0.993711,0.993711,0.5,0.5,0.984277,0.5,0.5,0.993711,0.993711,0.477987,0.5,0.993711,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.984277,0.5,0.5,0.990566] area_under_roc_curve 0.6037735849056601 [0.965409,0.5,0.5,1,0.5,0.993711,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,1,0.5,0.477987,0.993711,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.993711,0.984277,0.990566,0.5,0.981132,0.981132,0.5,0.5,0.5,0.5,1,0.987421,0.5,0.5,0.5,0.5,0.974843,0.5,0.996855,0.487421,0.5,0.971698,0.987421,0.5,0.996855,0.996855,0.5,0.5,0.990566,0.5,0.5,0.996855,0.490566,0.987421,0.5,0.996855,0.5,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.990566,0.5,0.5,0.5,0.5,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.487421] area_under_roc_curve 0.5974842767295596 [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 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[0.477987,0.5,1,0.5,0.5,0.987421,0.5,0.990566,0.5,1,0.974843,0.981132,0.5,0.5,0.5,0.984277,1,0.481132,0.5,0.487421,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.493711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.981132,0.974843,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.496855,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.993711,0.5,1,0.5,0.977987,0.996855,0.5,0.5,0.5,0.5,0.5,0.996855,0.993711,0.993711,0.5,0.5,0.993711,0.990566,0.990566,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.965409,0.5,0.971698,0.5,0.5,0.996855] area_under_roc_curve 0.5974842767295594 [0.996855,0.5,0.993711,0.5,0.5,0.990566,0.5,0.981132,0.5,1,0.981132,1,0.5,0.5,0.5,0.977987,1,0.474843,0.5,0.496855,0.5,0.5,0.990566,0.5,0.5,0.493711,0.484277,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.984277,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.984277,0.974843,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.996855,0.5,0.996855,0.5,0.977987,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.993711,0.993711,0.5,0.5,0.493711,0.984277,0.493711,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.977987,0.5,0.968553,0.5,0.5,0.990566] 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 0.20754716981132074 kappa 0.1949685534591195 kappa 0.21383647798742136 kappa 0.18238993710691823 kappa 0.20754716981132074 kappa 0.18867924528301885 kappa 0.1949685534591195 kappa 0.1949685534591195 kappa 0.1949685534591195 kb_relative_information_score 0.19199043782213684 kb_relative_information_score 0.21078135787278487 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 0.19825407783901955 kb_relative_information_score 0.19825407783901952 kb_relative_information_score 0.19825407783901952 mean_absolute_error 0.01612500000000001 mean_absolute_error 0.01575000000000001 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 0.01600000000000001 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 0.2125 predictive_accuracy 0.2 predictive_accuracy 0.21875 predictive_accuracy 0.1875 predictive_accuracy 0.2125 predictive_accuracy 0.19375 predictive_accuracy 0.2 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 0.2125 [1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,1,1,0,0,0,0,1,0,1,0,0,1,1,0,1,1,0,0,1,0,0,1,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0] 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 0.2 [0,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0] 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 0.7954545454545446 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 0.8080808080808072 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 0.12549900398011138 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 0.12649110640673522 root_mean_squared_error 0.12649110640673522 root_mean_squared_error 0.12649110640673522 root_relative_squared_error 1.2762397418933003 root_relative_squared_error 1.2613124477737823 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 1.271283452327456 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 675.703354999996 usercpu_time_millis 671.3266000001568 usercpu_time_millis 672.8741970000556 usercpu_time_millis 673.4844899999644 usercpu_time_millis 673.5110630002055 usercpu_time_millis 670.0827249999293 usercpu_time_millis 676.7062060000626 usercpu_time_millis 674.4127730000855 usercpu_time_millis 672.3414589998811 usercpu_time_millis 673.5866809999607 usercpu_time_millis_testing 63.153920999866386 usercpu_time_millis_testing 62.40173800006232 usercpu_time_millis_testing 62.43301800009249 usercpu_time_millis_testing 63.17085599994243 usercpu_time_millis_testing 62.87757700010843 usercpu_time_millis_testing 62.469577000001664 usercpu_time_millis_testing 62.64192300000104 usercpu_time_millis_testing 63.00117399996452 usercpu_time_millis_testing 62.628508999978294 usercpu_time_millis_testing 63.24337099999866 usercpu_time_millis_training 612.5494340001296 usercpu_time_millis_training 608.9248620000944 usercpu_time_millis_training 610.4411789999631 usercpu_time_millis_training 610.3136340000219 usercpu_time_millis_training 610.633486000097 usercpu_time_millis_training 607.6131479999276 usercpu_time_millis_training 614.0642830000616 usercpu_time_millis_training 611.411599000121 usercpu_time_millis_training 609.7129499999028 usercpu_time_millis_training 610.343309999962 wall_clock_time_millis 675.745964050293 wall_clock_time_millis 671.959400177002 wall_clock_time_millis 672.884464263916 wall_clock_time_millis 673.5115051269531 wall_clock_time_millis 674.1414070129395 wall_clock_time_millis 670.0961589813232 wall_clock_time_millis 676.734447479248 wall_clock_time_millis 675.0426292419434 wall_clock_time_millis 672.3551750183105 wall_clock_time_millis 673.607349395752 wall_clock_time_millis_testing 63.163042068481445 wall_clock_time_millis_testing 62.41035461425781 wall_clock_time_millis_testing 62.441349029541016 wall_clock_time_millis_testing 63.17925453186035 wall_clock_time_millis_testing 62.88504600524902 wall_clock_time_millis_testing 62.477827072143555 wall_clock_time_millis_testing 62.65401840209961 wall_clock_time_millis_testing 63.00950050354004 wall_clock_time_millis_testing 62.6378059387207 wall_clock_time_millis_testing 63.25221061706543 wall_clock_time_millis_training 612.5829219818115 wall_clock_time_millis_training 609.5490455627441 wall_clock_time_millis_training 610.443115234375 wall_clock_time_millis_training 610.3322505950928 wall_clock_time_millis_training 611.2563610076904 wall_clock_time_millis_training 607.6183319091797 wall_clock_time_millis_training 614.0804290771484 wall_clock_time_millis_training 612.0331287384033 wall_clock_time_millis_training 609.7173690795898 wall_clock_time_millis_training 610.3551387786865