10415464 1 Jan van Rijn 9954 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8253207 C 72.78289639377016 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.9865568612658371 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 3.839087709600762e-05 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 11164 16360 shrinking true 16360 tol 0.003904363647760561 16360 verbose false 16360 openml-python Sklearn_0.21.2. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 21752737 description https://api.openml.org/data/download/21752737/description.xml -1 21752738 predictions https://api.openml.org/data/download/21752738/predictions.arff area_under_roc_curve 0.5975378787878791 [0.552399,0.61774,0.624684,0.624053,0.622159,0.620581,0.624053,0.619003,0.561237,0.625,0.586174,0.619949,0.623422,0.561553,0.623737,0.621843,0.625,0.551452,0.578914,0.556818,0.530934,0.53125,0.587437,0.622159,0.5625,0.498422,0.555871,0.590909,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.618687,0.553977,0.621212,0.623737,0.586174,0.617109,0.624369,0.621528,0.589646,0.622475,0.622475,0.621528,0.619003,0.585543,0.56029,0.589646,0.620265,0.590593,0.620265,0.527778,0.624684,0.618371,0.585859,0.621528,0.622475,0.592803,0.618371,0.559659,0.619003,0.586806,0.555871,0.623737,0.590909,0.586174,0.593119,0.592803,0.619003,0.561869,0.556187,0.620265,0.621843,0.621212,0.623737,0.59154,0.559975,0.590909,0.621528,0.589962,0.620896,0.619949,0.624684,0.557449,0.624369,0.617109,0.528725,0.624684,0.622159,0.612058,0.615215,0.623106,0.614899,0.590278,0.49779,0.590278] average_cost 0 f_measure 0.21760198522598073 [0.08,0.186047,0.380952,0.347826,0.275862,0.235294,0.347826,0.205128,0.181818,0.4,0.139535,0.222222,0.32,0.190476,0.333333,0.266667,0.4,0.075472,0.090909,0.111111,0.111111,0.117647,0.153846,0.275862,0.222222,0,0.102564,0.214286,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.2,0.088889,0.25,0.333333,0.139535,0.177778,0.363636,0.258065,0.1875,0.285714,0.285714,0.258065,0.205128,0.133333,0.16,0.1875,0.228571,0.206897,0.228571,0.071429,0.380952,0.195122,0.136364,0.258065,0.285714,0.272727,0.195122,0.148148,0.205128,0.146341,0.102564,0.333333,0.214286,0.139535,0.285714,0.272727,0.205128,0.2,0.105263,0.228571,0.266667,0.25,0.333333,0.230769,0.153846,0.214286,0.258065,0.193548,0.242424,0.222222,0.380952,0.117647,0.363636,0.177778,0.08,0.380952,0.275862,0.131148,0.156863,0.307692,0.153846,0.2,0,0.2] kappa 0.19507575757575757 kb_relative_information_score 0.20138589784746622 mean_absolute_error 0.015937499999999716 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 0.3154110009274148 [0.058824,0.148148,0.8,0.571429,0.307692,0.222222,0.571429,0.173913,0.333333,1,0.111111,0.2,0.444444,0.4,0.5,0.285714,1,0.054054,0.06,0.1,0.5,1,0.130435,0.307692,1,0,0.086957,0.25,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.166667,0.068966,0.25,0.5,0.111111,0.137931,0.666667,0.266667,0.1875,0.333333,0.333333,0.266667,0.173913,0.103448,0.222222,0.1875,0.210526,0.230769,0.210526,0.083333,0.8,0.16,0.107143,0.266667,0.333333,0.5,0.16,0.181818,0.173913,0.12,0.086957,0.5,0.25,0.111111,0.6,0.5,0.173913,0.5,0.090909,0.210526,0.285714,0.25,0.5,0.3,0.2,0.25,0.266667,0.2,0.235294,0.2,0.8,0.111111,0.666667,0.137931,0.111111,0.8,0.307692,0.088889,0.114286,0.4,0.111111,0.214286,0,0.214286] predictive_accuracy 0.203125 prior_entropy 6.643856189774611 recall 0.203125 [0.125,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.1875,0.25,0.25,0.125,0.25,0.25,0.25,0.125,0.1875,0.125,0.0625,0.0625,0.1875,0.25,0.125,0,0.125,0.1875,0.25,0.125,0.25,0.125,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.25,0.1875,0.25,0.25,0.25,0.1875,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.25,0.1875,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.125,0.25,0.1875,0.1875,0.1875,0.1875,0.25,0.125,0.125,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.25,0.25,0.125,0.25,0.25,0.0625,0.25,0.25,0.25,0.25,0.25,0.25,0.1875,0,0.1875] relative_absolute_error 0.8049242424242266 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.12624381172952484 root_relative_squared_error 1.2687980473063682 total_cost 0 area_under_roc_curve 0.5943396226415092 [0.474843,0.5,0.5,1,0.5,0.984277,0.5,0.990566,0.5,1,0.5,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.977987,0.496855,0.5,0.977987,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.996855,0.984277,0.990566,0.5,0.968553,0.981132,0.5,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.5,0.990566,0.5,0.993711,0.493711,0.5,0.971698,0.496855,0.5,0.993711,0.993711,0.5,0.5,0.987421,0.5,0.5,0.993711,0.990566,0.477987,0.5,0.993711,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.990566,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,1,0.5,0.5,0.5,0.5,0.981132,0.5,0.5,0.990566] area_under_roc_curve 0.6037735849056602 [0.962264,0.5,0.5,1,0.5,0.993711,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,1,0.5,0.474843,0.993711,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.990566,0.984277,0.990566,0.5,0.981132,0.981132,0.5,0.5,0.5,0.5,1,0.990566,0.5,0.5,0.5,0.5,0.981132,0.5,0.996855,0.490566,0.5,0.971698,0.990566,0.5,0.993711,0.996855,0.5,0.5,0.987421,0.5,0.5,0.996855,0.493711,0.987421,0.5,0.996855,0.5,0.5,0.490566,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.987421,0.5,0.5,0.5,0.5,0.5,0.984277,0.5,1,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,0.487421] area_under_roc_curve 0.5974842767295594 [0.5,0.5,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,0.5,0.5,0.990566,1,0.5,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.5,0.962264,0.996855,0.971698,0.471698,0.990566,0.5,0.5,0.984277,1,0.974843,0.5,0.993711,0.5,0.990566,0.5,0.5,0.5,0.993711,0.990566,0.5,0.981132,0.5,1,0.5,0.962264,0.5,0.996855,0.5,0.5,0.481132,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.981132,0.5,0.981132,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.5,0.5,0.996855,0.990566,0.996855,0.5,0.5,0.981132,0.5,0.996855,1,0.5,0.5,1,0.5,0.5,0.493711,0.5] area_under_roc_curve 0.6069182389937104 [0.5,0.5,0.5,0.996855,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.993711,0.5,0.5,0.5,0.987421,0.5,0.5,0.996855,0.5,0.5,0.5,0.981132,0.993711,0.977987,0.474843,0.990566,0.5,0.5,0.974843,0.996855,0.993711,0.5,0.987421,0.5,0.990566,0.5,0.5,0.5,0.987421,0.990566,0.5,0.981132,0.5,1,0.5,0.971698,0.5,0.990566,1,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.984277,0.5,0.984277,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.984277,1,0.5,0.5,0.968553,0.5,1,0.993711,0.5,0.5,0.990566,0.5,0.5,0.490566,0.5] area_under_roc_curve 0.5943396226415092 [0.5,0.984277,0.5,0.5,0.990566,0.5,0.996855,0.5,0.496855,0.5,0.5,0.5,1,0.496855,0.993711,0.5,0.5,0.5,0.930818,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.996855,0.5,0.990566,0.5,0.5,0.5,0.955975,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.987421,0.996855,0.5,0.5,0.5,0.5,0.5,0.493711,0.5,0.490566,0.5,0.5,0.996855,0.5,0.5,0.987421,0.5,0.5,0.971698,0.996855,0.5,0.5,0.474843,0.5,0.5,0.5,0.5,0.5,0.984277,1,0.5,0.993711,0.5,0.5,0.5,0.993711,0.993711,0.5,0.5,0.5,0.987421,0.993711,1,0.990566,0.5,0.5,0.493711,0.5,0.984277,0.971698,0.5,0.993711,0.5,0.987421,0.5,0.5] area_under_roc_curve 0.6006289308176098 [0.5,0.990566,0.5,0.5,0.990566,0.5,0.996855,0.5,1,0.5,0.5,0.5,1,0.493711,0.996855,0.5,0.5,0.5,0.949686,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,1,0.5,0.993711,1,0.5,0.5,0.95283,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.996855,0.987421,0.996855,0.5,0.5,0.5,0.5,1,0.984277,0.5,0.990566,0.5,0.5,1,0.5,0.5,0.993711,0.5,0.5,0.977987,0.993711,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.990566,0.493711,0.5,0.990566,0.5,0.5,0.5,0.493711,0.496855,0.5,0.5,0.5,0.987421,0.981132,1,0.990566,0.5,0.5,0.487421,0.5,0.993711,0.974843,0.5,0.996855,0.5,0.987421,0.493711,0.5] area_under_roc_curve 0.6006289308176099 [0.5,0.977987,1,0.5,0.996855,0.5,0.5,0.5,0.993711,0.5,0.987421,0.981132,0.5,1,1,0.5,1,0.971698,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.496855,0.465409,0.5,0.993711,0.5,0.5,0.5,0.990566,0.981132,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.977987,0.987421,0.490566,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.990566,0.5,0.5,0.971698,0.496855,0.5,0.5,0.5,1,0.5,0.5,1,0.5,0.984277,0.993711,0.993711,1,0.996855,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.484277,1,0.5,1,0.5,0.5,0.959119,0.981132,0.5,0.5,0.996855,0.5,0.5] area_under_roc_curve 0.5943396226415093 [0.5,0.974843,1,0.5,0.993711,0.5,0.5,0.5,0.496855,0.5,0.481132,0.990566,0.5,1,0.996855,0.5,1,0.959119,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.990566,0.5,0.5,1,0.990566,0.990566,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.987421,0.481132,0.987421,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.993711,0.5,0.5,0.468553,0.996855,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.984277,0.987421,0.981132,1,0.993711,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.484277,1,0.5,0.493711,0.5,0.5,0.965409,0.977987,0.5,0.5,0.493711,0.5,0.5] area_under_roc_curve 0.6006289308176098 [0.471698,0.5,1,0.5,0.5,0.987421,0.5,0.987421,0.5,1,0.974843,0.981132,0.5,0.5,0.5,0.990566,1,0.481132,0.5,0.484277,0.5,0.5,0.993711,0.5,0.5,0.5,0.990566,0.5,0.5,1,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.493711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.990566,0.971698,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.5,0.987421,0.993711,0.5,1,0.5,0.981132,0.996855,0.5,0.5,0.5,0.5,0.5,0.996855,0.993711,0.993711,0.5,0.5,0.993711,0.993711,0.990566,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.965409,0.5,0.968553,0.5,0.5,0.996855] area_under_roc_curve 0.5974842767295594 [0.990566,0.5,0.996855,0.5,0.5,0.990566,0.5,0.981132,0.5,1,0.981132,0.996855,0.5,0.5,0.5,0.984277,1,0.477987,0.5,0.493711,0.5,0.5,0.990566,0.5,0.5,0.493711,0.484277,0.5,0.5,0.5,0.5,0.5,0.993711,0.987421,0.5,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.984277,0.977987,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.5,0.977987,0.996855,0.5,0.996855,0.5,0.977987,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.993711,0.993711,0.5,0.5,0.493711,0.987421,0.493711,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.977987,0.5,0.962264,0.5,0.5,0.990566] 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 0.18867924528301885 kappa 0.2012578616352201 kappa 0.2012578616352201 kappa 0.18867924528301885 kappa 0.2012578616352201 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 0.19199043782213684 kb_relative_information_score 0.20451771785590217 kb_relative_information_score 0.20451771785590217 kb_relative_information_score 0.1919904378221369 kb_relative_information_score 0.20451771785590217 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 0.01612500000000001 mean_absolute_error 0.01587500000000001 mean_absolute_error 0.01587500000000001 mean_absolute_error 0.01612500000000001 mean_absolute_error 0.01587500000000001 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 0.19375 predictive_accuracy 0.20625 predictive_accuracy 0.20625 predictive_accuracy 0.19375 predictive_accuracy 0.20625 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 0.19375 [0,1,0,0,1,0,1,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,1,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0] recall 0.20625 [0,1,0,0,1,0,1,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0] recall 0.20625 [0,1,1,0,1,0,0,0,1,0,1,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,1,0,0] recall 0.19375 [0,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0] recall 0.20625 [0,0,1,0,0,1,0,1,0,1,1,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,1,0,1,1,0,0,0,0,0,1,1,1,0,0,1,1,1,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,1] 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 0.8143939393939387 relative_absolute_error 0.801767676767676 relative_absolute_error 0.801767676767676 relative_absolute_error 0.8143939393939387 relative_absolute_error 0.801767676767676 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 0.12698425099200297 root_mean_squared_error 0.12599603168354157 root_mean_squared_error 0.12599603168354157 root_mean_squared_error 0.12698425099200297 root_mean_squared_error 0.12599603168354157 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 1.2762397418933003 root_relative_squared_error 1.26630776414557 root_relative_squared_error 1.26630776414557 root_relative_squared_error 1.2762397418933003 root_relative_squared_error 1.26630776414557 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 719.7744690001855 usercpu_time_millis 720.3027550003753 usercpu_time_millis 719.92071700015 usercpu_time_millis 718.5736569995242 usercpu_time_millis 717.7851440005725 usercpu_time_millis 718.4878899997784 usercpu_time_millis 720.5943089998073 usercpu_time_millis 717.9907720001211 usercpu_time_millis 721.7954610000561 usercpu_time_millis 720.8207730004688 usercpu_time_millis_testing 64.56958600028884 usercpu_time_millis_testing 64.43801500017798 usercpu_time_millis_testing 64.72139600009541 usercpu_time_millis_testing 65.21736699960456 usercpu_time_millis_testing 65.03909800039764 usercpu_time_millis_testing 65.08415400003287 usercpu_time_millis_testing 65.1193069998044 usercpu_time_millis_testing 64.47432400000253 usercpu_time_millis_testing 65.04618400003892 usercpu_time_millis_testing 64.7349280002345 usercpu_time_millis_training 655.2048829998967 usercpu_time_millis_training 655.8647400001973 usercpu_time_millis_training 655.1993210000546 usercpu_time_millis_training 653.3562899999197 usercpu_time_millis_training 652.7460460001748 usercpu_time_millis_training 653.4037359997455 usercpu_time_millis_training 655.4750020000029 usercpu_time_millis_training 653.5164480001185 usercpu_time_millis_training 656.7492770000172 usercpu_time_millis_training 656.0858450002343 wall_clock_time_millis 719.7515964508057 wall_clock_time_millis 720.2877998352051 wall_clock_time_millis 719.8970317840576 wall_clock_time_millis 718.5580730438232 wall_clock_time_millis 717.7693843841553 wall_clock_time_millis 718.4646129608154 wall_clock_time_millis 720.5710411071777 wall_clock_time_millis 717.9684638977051 wall_clock_time_millis 721.7721939086914 wall_clock_time_millis 720.8058834075928 wall_clock_time_millis_testing 64.56971168518066 wall_clock_time_millis_testing 64.4381046295166 wall_clock_time_millis_testing 64.72158432006836 wall_clock_time_millis_testing 65.21725654602051 wall_clock_time_millis_testing 65.03939628601074 wall_clock_time_millis_testing 65.08421897888184 wall_clock_time_millis_testing 65.11950492858887 wall_clock_time_millis_testing 64.47458267211914 wall_clock_time_millis_testing 65.04654884338379 wall_clock_time_millis_testing 64.73588943481445 wall_clock_time_millis_training 655.181884765625 wall_clock_time_millis_training 655.8496952056885 wall_clock_time_millis_training 655.1754474639893 wall_clock_time_millis_training 653.3408164978027 wall_clock_time_millis_training 652.7299880981445 wall_clock_time_millis_training 653.3803939819336 wall_clock_time_millis_training 655.4515361785889 wall_clock_time_millis_training 653.4938812255859 wall_clock_time_millis_training 656.7256450653076 wall_clock_time_millis_training 656.0699939727783