10414229 1 Jan van Rijn 9954 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8251973 C 176.46591274105694 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.0036410764912334827 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 38340 16360 shrinking true 16360 tol 4.316935187850667e-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 21750267 description https://api.openml.org/data/download/21750267/description.xml -1 21750268 predictions https://api.openml.org/data/download/21750268/predictions.arff area_under_roc_curve 0.5997474747474751 [0.554293,0.617109,0.624369,0.624369,0.622475,0.620581,0.624053,0.619318,0.560922,0.90625,0.58649,0.620581,0.621528,0.561553,0.623422,0.620581,0.625,0.521149,0.578598,0.557449,0.530934,0.53125,0.588068,0.622159,0.5625,0.498106,0.555871,0.590278,0.623106,0.5625,0.623106,0.5625,0.621843,0.619634,0.610164,0.621528,0.619003,0.554293,0.621212,0.623737,0.587121,0.618056,0.624369,0.621843,0.589646,0.622475,0.622475,0.621212,0.618371,0.585859,0.559659,0.589331,0.619318,0.591225,0.620265,0.527146,0.624684,0.586806,0.584912,0.621528,0.62279,0.592803,0.618371,0.56029,0.619003,0.586806,0.554924,0.623737,0.590278,0.585859,0.593434,0.592803,0.620581,0.592487,0.557134,0.620581,0.621528,0.620896,0.623737,0.62279,0.529356,0.590909,0.620265,0.590593,0.621212,0.619949,0.624369,0.557134,0.593119,0.616162,0.52904,0.624684,0.621843,0.613636,0.615215,0.623106,0.616162,0.559343,0.498106,0.621528] average_cost 0 f_measure 0.22083397756232548 [0.090909,0.177778,0.363636,0.363636,0.285714,0.235294,0.347826,0.210526,0.173913,0.896552,0.142857,0.235294,0.258065,0.190476,0.32,0.235294,0.4,0.040816,0.089552,0.117647,0.111111,0.117647,0.162162,0.275862,0.222222,0,0.102564,0.2,0.307692,0.222222,0.307692,0.222222,0.266667,0.216216,0.119403,0.258065,0.205128,0.090909,0.25,0.333333,0.15,0.190476,0.363636,0.266667,0.1875,0.285714,0.285714,0.25,0.195122,0.136364,0.148148,0.181818,0.210526,0.222222,0.228571,0.066667,0.380952,0.146341,0.12766,0.258065,0.296296,0.272727,0.195122,0.16,0.205128,0.146341,0.095238,0.333333,0.2,0.136364,0.3,0.272727,0.235294,0.26087,0.114286,0.235294,0.258065,0.242424,0.333333,0.296296,0.086957,0.214286,0.228571,0.206897,0.25,0.222222,0.363636,0.114286,0.285714,0.166667,0.083333,0.380952,0.266667,0.142857,0.156863,0.307692,0.166667,0.142857,0,0.258065] kappa 0.19949494949494948 kb_relative_information_score 0.2057704458592842 mean_absolute_error 0.01584999999999972 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 0.3105399109834306 [0.071429,0.137931,0.666667,0.666667,0.333333,0.222222,0.571429,0.181818,0.285714,1,0.115385,0.222222,0.266667,0.4,0.444444,0.222222,1,0.030303,0.058824,0.111111,0.5,1,0.142857,0.307692,1,0,0.086957,0.214286,0.4,1,0.4,1,0.285714,0.190476,0.078431,0.266667,0.173913,0.071429,0.25,0.5,0.125,0.153846,0.666667,0.285714,0.1875,0.333333,0.333333,0.25,0.16,0.107143,0.181818,0.176471,0.181818,0.272727,0.210526,0.071429,0.8,0.12,0.096774,0.266667,0.363636,0.5,0.16,0.222222,0.173913,0.12,0.076923,0.5,0.214286,0.107143,0.75,0.5,0.222222,0.428571,0.105263,0.222222,0.266667,0.235294,0.5,0.363636,0.142857,0.25,0.210526,0.230769,0.25,0.2,0.666667,0.105263,0.6,0.125,0.125,0.8,0.285714,0.1,0.114286,0.4,0.125,0.166667,0,0.266667] predictive_accuracy 0.2075 prior_entropy 6.643856189774611 recall 0.2075 [0.125,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0.8125,0.1875,0.25,0.25,0.125,0.25,0.25,0.25,0.0625,0.1875,0.125,0.0625,0.0625,0.1875,0.25,0.125,0,0.125,0.1875,0.25,0.125,0.25,0.125,0.25,0.25,0.25,0.25,0.25,0.125,0.25,0.25,0.1875,0.25,0.25,0.25,0.1875,0.25,0.25,0.25,0.25,0.1875,0.125,0.1875,0.25,0.1875,0.25,0.0625,0.25,0.1875,0.1875,0.25,0.25,0.1875,0.25,0.125,0.25,0.1875,0.125,0.25,0.1875,0.1875,0.1875,0.1875,0.25,0.1875,0.125,0.25,0.25,0.25,0.25,0.25,0.0625,0.1875,0.25,0.1875,0.25,0.25,0.25,0.125,0.1875,0.25,0.0625,0.25,0.25,0.25,0.25,0.25,0.25,0.125,0,0.25] relative_absolute_error 0.8005050505050347 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.1258967831201406 root_relative_squared_error 1.2653102785522885 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 [0.965409,0.5,0.5,1,0.5,0.993711,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,1,0.5,0.481132,0.993711,1,0.5,0.5,0.5,0.5,1,0.5,0.5,0.5,0.5,0.5,0.990566,0.993711,0.984277,0.990566,0.5,0.981132,0.981132,0.5,0.5,0.5,0.5,1,0.987421,0.5,0.5,0.5,0.5,0.974843,0.5,0.996855,0.487421,0.5,0.971698,0.987421,0.5,0.996855,0.996855,0.5,0.5,0.990566,0.5,0.5,0.996855,0.490566,0.987421,0.5,0.996855,0.5,0.5,0.493711,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.984277,0.990566,0.5,0.5,0.5,0.5,0.5,0.981132,0.5,1,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.987421] area_under_roc_curve 0.6037735849056604 [0.5,0.5,0.5,0.996855,0.5,0.5,1,0.5,0.5,1,0.5,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,0.5,0.5,0.987421,1,0.5,0.5,0.990566,0.5,0.5,1,0.5,0.5,0.5,0.959119,0.996855,0.971698,0.471698,0.990566,0.5,0.5,0.984277,1,0.977987,0.5,0.990566,0.5,0.990566,0.5,0.5,0.5,0.993711,0.990566,0.5,0.981132,0.5,1,0.5,0.962264,0.5,0.996855,0.5,0.5,0.487421,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.984277,0.5,0.984277,0.5,0.5,0.5,0.5,0.5,0.496855,0.5,0.5,0.5,0.996855,0.990566,0.996855,0.5,0.5,0.977987,0.5,0.996855,1,0.5,0.5,1,0.5,0.5,0.496855,0.5] area_under_roc_curve 0.6100628930817608 [0.5,0.5,0.5,0.996855,0.5,0.5,0.996855,0.5,0.5,0.75,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.987421,0.5,0.5,1,0.5,0.996855,0.5,0.5,0.5,0.987421,0.5,0.5,0.996855,0.5,0.5,0.5,0.974843,0.993711,0.977987,0.474843,0.990566,0.5,0.5,0.977987,0.996855,0.993711,0.5,0.990566,0.5,0.990566,0.5,0.5,0.5,0.990566,0.990566,0.5,0.981132,0.5,1,0.5,0.968553,0.5,0.990566,1,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.5,0.987421,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.5,0.987421,0.984277,1,0.5,0.5,0.965409,0.5,1,0.993711,0.5,0.5,0.987421,0.5,0.5,0.490566,0.5] area_under_roc_curve 0.5943396226415092 [0.5,0.987421,0.5,0.5,0.990566,0.5,0.996855,0.5,0.496855,0.75,0.5,0.5,0.993711,0.496855,0.993711,0.5,0.5,0.5,0.930818,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.993711,0.996855,0.5,0.990566,0.5,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.5,0.5,1,1,0.987421,0.996855,0.5,0.5,0.5,0.5,0.5,0.490566,0.5,0.490566,0.5,0.5,0.996855,0.5,0.5,0.987421,0.5,0.5,0.971698,0.996855,0.5,0.5,0.471698,0.5,0.5,0.5,0.5,0.5,0.990566,0.996855,0.5,0.996855,0.5,0.5,0.5,0.993711,0.493711,0.5,0.5,0.5,0.987421,0.993711,0.996855,0.987421,0.5,0.5,0.493711,0.5,0.981132,0.977987,0.5,0.996855,0.5,0.984277,0.5,0.5] area_under_roc_curve 0.6069182389937102 [0.5,0.987421,0.5,0.5,0.993711,0.5,0.996855,0.5,1,0.75,0.5,0.5,0.990566,0.493711,0.996855,0.5,0.5,0.5,0.946541,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,1,0.5,0.993711,1,0.5,0.5,0.95283,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.996855,0.996855,0.987421,0.996855,0.5,0.5,0.5,0.5,1,0.981132,0.5,0.993711,0.5,0.5,1,0.5,0.5,0.993711,0.5,0.5,0.977987,0.993711,0.5,0.5,0.965409,0.5,0.5,0.5,0.5,0.5,0.993711,0.490566,0.5,0.990566,0.5,0.5,0.5,0.993711,0.496855,0.5,0.5,0.5,0.990566,0.981132,1,0.990566,0.5,0.5,0.490566,0.5,0.993711,0.984277,0.5,0.996855,0.5,0.990566,0.493711,0.5] area_under_roc_curve 0.6006289308176099 [0.5,0.974843,1,0.5,0.996855,0.5,0.5,0.5,0.993711,1,0.987421,0.984277,0.5,1,0.996855,0.5,1,0.981132,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.468553,0.5,0.993711,0.5,0.5,0.5,0.990566,0.981132,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.5,0.493711,0.5,0.5,0.5,0.981132,0.987421,0.490566,0.5,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.990566,0.5,0.5,0.971698,0.493711,0.5,0.5,0.5,1,0.5,0.5,1,0.5,0.984277,0.990566,0.990566,1,0.996855,0.5,0.990566,0.5,0.5,0.5,0.5,0.5,0.484277,0.5,0.5,1,0.5,0.5,0.959119,0.981132,0.5,0.5,0.496855,0.5,0.5] area_under_roc_curve 0.6006289308176098 [0.5,0.971698,1,0.5,0.993711,0.5,0.5,0.5,0.493711,1,0.484277,0.990566,0.5,1,0.996855,0.5,1,0.462264,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.493711,0.993711,0.5,0.990566,0.5,0.5,1,0.990566,0.990566,0.5,0.5,0.5,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.990566,0.5,0.5,0.5,0.987421,0.484277,0.981132,0.5,0.5,0.996855,0.5,0.5,0.5,0.5,0.5,0.993711,0.5,0.5,0.993711,0.5,0.5,0.471698,0.993711,0.5,0.5,0.5,1,0.5,0.5,1,0.5,0.984277,0.987421,0.981132,1,0.993711,0.5,0.993711,0.5,0.5,0.5,0.5,0.5,0.484277,1,0.5,0.493711,0.5,0.5,0.965409,0.977987,0.5,0.5,0.496855,0.5,0.5] area_under_roc_curve 0.5974842767295596 [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 0.5974842767295595 [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 0.20748486516235554 kappa 0.22009512952553167 kappa 0.18864735249027087 kappa 0.2138055741184795 kappa 0.20119506250491392 kappa 0.20119506250491392 kappa 0.1949685534591195 kappa 0.1949685534591195 kb_relative_information_score 0.19199043782213684 kb_relative_information_score 0.21704499788966752 kb_relative_information_score 0.21078135787278487 kb_relative_information_score 0.2233086379065502 kb_relative_information_score 0.19199043782213684 kb_relative_information_score 0.21704499788966752 kb_relative_information_score 0.20451771785590217 kb_relative_information_score 0.20451771785590223 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 0.01575000000000001 mean_absolute_error 0.01550000000000001 mean_absolute_error 0.01612500000000001 mean_absolute_error 0.01562500000000001 mean_absolute_error 0.01587500000000001 mean_absolute_error 0.01587500000000001 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 0.2125 predictive_accuracy 0.225 predictive_accuracy 0.19375 predictive_accuracy 0.21875 predictive_accuracy 0.20625 predictive_accuracy 0.20625 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 0.2125 [0,0,0,1,0,0,1,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0] recall 0.225 [0,0,0,1,0,0,1,0,0,0.5,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,0,1,0,0,0,1,1,1,0,1,0,0,1,1,1,0,1,0,1,0,0,0,1,1,0,1,0,1,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,1,1,0,0,1,0,1,1,0,0,1,0,0,0,0] recall 0.19375 [0,1,0,0,1,0,1,0,0,0.5,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0] recall 0.21875 [0,1,0,0,1,0,1,0,1,0.5,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,1,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,0,1,0,0,1,0,0,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,0,1,1,1,1,0,0,0,0,1,1,0,1,0,1,0,0] recall 0.20625 [0,1,1,0,1,0,0,0,1,1,1,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,1,0,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0] recall 0.20625 [0,1,1,0,1,0,0,0,0,1,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,1,0,0,0,1,0,0,1,0,1,1,1,1,1,0,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0] 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 0.7954545454545446 relative_absolute_error 0.7828282828282821 relative_absolute_error 0.8143939393939387 relative_absolute_error 0.7891414141414134 relative_absolute_error 0.801767676767676 relative_absolute_error 0.801767676767676 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 0.12549900398011138 root_mean_squared_error 0.12449899597988737 root_mean_squared_error 0.12698425099200297 root_mean_squared_error 0.12500000000000003 root_mean_squared_error 0.12599603168354157 root_mean_squared_error 0.12599603168354157 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 1.2613124477737823 root_relative_squared_error 1.2512619892159134 root_relative_squared_error 1.2762397418933003 root_relative_squared_error 1.2562972690740146 root_relative_squared_error 1.26630776414557 root_relative_squared_error 1.26630776414557 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 701.498858999912 usercpu_time_millis 701.6079960001207 usercpu_time_millis 702.9450129999759 usercpu_time_millis 707.1558730000334 usercpu_time_millis 705.9243979999792 usercpu_time_millis 703.1097249999902 usercpu_time_millis 704.5782480000753 usercpu_time_millis 704.799211999898 usercpu_time_millis 705.9264140000323 usercpu_time_millis 705.5174580000312 usercpu_time_millis_testing 63.28931999996712 usercpu_time_millis_testing 63.90829300005407 usercpu_time_millis_testing 63.34110000000237 usercpu_time_millis_testing 63.92089500002385 usercpu_time_millis_testing 63.43884500006425 usercpu_time_millis_testing 63.132474999974875 usercpu_time_millis_testing 63.4265859999914 usercpu_time_millis_testing 63.4257259999913 usercpu_time_millis_testing 63.534127000025364 usercpu_time_millis_testing 63.366984000026605 usercpu_time_millis_training 638.2095389999449 usercpu_time_millis_training 637.6997030000666 usercpu_time_millis_training 639.6039129999735 usercpu_time_millis_training 643.2349780000095 usercpu_time_millis_training 642.485552999915 usercpu_time_millis_training 639.9772500000154 usercpu_time_millis_training 641.1516620000839 usercpu_time_millis_training 641.3734859999067 usercpu_time_millis_training 642.392287000007 usercpu_time_millis_training 642.1504740000046 wall_clock_time_millis 702.143669128418 wall_clock_time_millis 701.6441822052002 wall_clock_time_millis 702.9721736907959 wall_clock_time_millis 707.7951431274414 wall_clock_time_millis 705.9757709503174 wall_clock_time_millis 703.141450881958 wall_clock_time_millis 705.2228450775146 wall_clock_time_millis 704.829216003418 wall_clock_time_millis 706.5761089324951 wall_clock_time_millis 705.5435180664062 wall_clock_time_millis_testing 63.29917907714844 wall_clock_time_millis_testing 63.91787528991699 wall_clock_time_millis_testing 63.34853172302246 wall_clock_time_millis_testing 63.93027305603027 wall_clock_time_millis_testing 63.44890594482422 wall_clock_time_millis_testing 63.14373016357422 wall_clock_time_millis_testing 63.436031341552734 wall_clock_time_millis_testing 63.43698501586914 wall_clock_time_millis_testing 63.544511795043945 wall_clock_time_millis_testing 63.373565673828125 wall_clock_time_millis_training 638.8444900512695 wall_clock_time_millis_training 637.7263069152832 wall_clock_time_millis_training 639.6236419677734 wall_clock_time_millis_training 643.8648700714111 wall_clock_time_millis_training 642.5268650054932 wall_clock_time_millis_training 639.9977207183838 wall_clock_time_millis_training 641.7868137359619 wall_clock_time_millis_training 641.3922309875488 wall_clock_time_millis_training 643.0315971374512 wall_clock_time_millis_training 642.1699523925781