OpenML
Supervised Classification on fri_c2_1000_10

Supervised Classification on fri_c2_1000_10

Task 3776 Supervised Classification fri_c2_1000_10 447 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.94, kappa: 0.8768, kb_relative_information_score: 875.3882, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9815, recall: 0.94, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9198, kappa: 0.8349, kb_relative_information_score: 833.8762, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.9815, recall: 0.92, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.9026, kappa: 0.7994, kb_relative_information_score: 798.5909, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9031, predictive_accuracy: 0.903, prior_entropy: 0.9815, recall: 0.903, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.8285, kappa: 0.647, kb_relative_information_score: 644.9963, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8284, predictive_accuracy: 0.829, prior_entropy: 0.9815, recall: 0.829, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7778, kappa: 0.5415, kb_relative_information_score: 543.2917, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7791, predictive_accuracy: 0.78, prior_entropy: 0.9815, recall: 0.78, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9503, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.7293, kappa: 0.4415, kb_relative_information_score: 443.6628, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7299, predictive_accuracy: 0.732, prior_entropy: 0.9815, recall: 0.732, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0489, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8781, kappa: 0.7501, kb_relative_information_score: 684.4691, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8783, predictive_accuracy: 0.878, prior_entropy: 0.9815, recall: 0.878, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6346, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8827, kappa: 0.7587, kb_relative_information_score: 705.1925, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8828, predictive_accuracy: 0.883, prior_entropy: 0.9815, recall: 0.883, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6347, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.791, kappa: 0.5694, kb_relative_information_score: 296.5422, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.792, prior_entropy: 0.9815, recall: 0.792, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9098, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.7975, kappa: 0.5835, kb_relative_information_score: 338.666, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7973, predictive_accuracy: 0.798, prior_entropy: 0.9815, recall: 0.798, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.904, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9309, kappa: 0.8579, kb_relative_information_score: 856.7078, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.9815, recall: 0.931, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7722, kappa: 0.5303, kb_relative_information_score: 530.8381, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7728, predictive_accuracy: 0.774, prior_entropy: 0.9815, recall: 0.774, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.791, kappa: 0.5694, kb_relative_information_score: 296.5705, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.792, prior_entropy: 0.9815, recall: 0.792, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9098, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7945, kappa: 0.5774, kb_relative_information_score: 336.5565, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7943, predictive_accuracy: 0.795, prior_entropy: 0.9815, recall: 0.795, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9047, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.791, kappa: 0.5694, kb_relative_information_score: 296.5705, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.792, prior_entropy: 0.9815, recall: 0.792, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9098, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8971, kappa: 0.7889, kb_relative_information_score: 729.2892, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8972, predictive_accuracy: 0.897, prior_entropy: 0.9815, recall: 0.897, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6085, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8997, kappa: 0.7938, kb_relative_information_score: 769.1659, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9815, recall: 0.9, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6187, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8998, kappa: 0.7941, kb_relative_information_score: 726.1142, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8998, predictive_accuracy: 0.9, prior_entropy: 0.9815, recall: 0.9, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5564, scimark_benchmark: 1806.5905, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9168, kappa: 0.8289, kb_relative_information_score: 697.3714, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 0.9815, recall: 0.917, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5092, scimark_benchmark: 1806.5905, usercpu_time_millis: 202.8013, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8691, kappa: 0.7314, kb_relative_information_score: 726.8168, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8691, predictive_accuracy: 0.869, prior_entropy: 0.9815, recall: 0.869, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7325, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.7449, kappa: 0.4787, kb_relative_information_score: 467.7741, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.744, prior_entropy: 0.9815, recall: 0.744, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.024, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.791, kappa: 0.5694, kb_relative_information_score: 296.5705, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.792, prior_entropy: 0.9815, recall: 0.792, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9098, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7945, kappa: 0.5774, kb_relative_information_score: 336.5565, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7943, predictive_accuracy: 0.795, prior_entropy: 0.9815, recall: 0.795, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9047, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: -0.0097, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8909, kappa: 0.7759, kb_relative_information_score: 773.6837, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8909, predictive_accuracy: 0.891, prior_entropy: 0.9815, recall: 0.891, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6689, usercpu_time_millis: 24.272, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 23.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7666, kappa: 0.5225, kb_relative_information_score: 514.2333, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7677, predictive_accuracy: 0.766, prior_entropy: 0.9815, recall: 0.766, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9801, usercpu_time_millis: 2.207, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8276, kappa: 0.648, kb_relative_information_score: 640.8451, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8295, predictive_accuracy: 0.827, prior_entropy: 0.9815, recall: 0.827, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8427, usercpu_time_millis: 1.779, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.7216, kappa: 0.4264, kb_relative_information_score: 424.9824, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7212, predictive_accuracy: 0.723, prior_entropy: 0.9815, recall: 0.723, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0664, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.721, kappa: 0.4256, kb_relative_information_score: 422.9068, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7205, predictive_accuracy: 0.722, prior_entropy: 0.9815, recall: 0.722, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0683, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7986, kappa: 0.5859, kb_relative_information_score: 582.7282, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7984, predictive_accuracy: 0.799, prior_entropy: 0.9815, recall: 0.799, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9084, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8965, kappa: 0.7868, kb_relative_information_score: 786.1373, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8972, predictive_accuracy: 0.897, prior_entropy: 0.9815, recall: 0.897, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6502, usercpu_time_millis: 0.24, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9136, kappa: 0.8221, kb_relative_information_score: 821.4225, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9143, predictive_accuracy: 0.914, prior_entropy: 0.9815, recall: 0.914, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5942, usercpu_time_millis: 59.191, usercpu_time_millis_testing: 6.574, usercpu_time_millis_training: 52.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8748, kappa: 0.7425, kb_relative_information_score: 740.474, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8747, predictive_accuracy: 0.875, prior_entropy: 0.9815, recall: 0.875, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7163, usercpu_time_millis: 9.285, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 8.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7965, kappa: 0.5815, kb_relative_information_score: 578.577, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7963, predictive_accuracy: 0.797, prior_entropy: 0.9815, recall: 0.797, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9129, usercpu_time_millis: 14.951, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 14.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.824, kappa: 0.6367, kb_relative_information_score: 638.7695, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8267, predictive_accuracy: 0.826, prior_entropy: 0.9815, recall: 0.826, relative_absolute_error: 0.3571, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8452, usercpu_time_millis: 107.977, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 107.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.9126, kappa: 0.8201, kb_relative_information_score: 819.3469, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9132, predictive_accuracy: 0.913, prior_entropy: 0.9815, recall: 0.913, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.295, root_relative_squared_error: 0.5976, usercpu_time_millis: 9.913, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 9.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9097, kappa: 0.8142, kb_relative_information_score: 813.1201, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 0.9815, recall: 0.91, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6078, usercpu_time_millis: 8.932, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 8.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7052, kappa: 0.3924, kb_relative_information_score: 391.7727, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7048, predictive_accuracy: 0.707, prior_entropy: 0.9815, recall: 0.707, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0967, usercpu_time_millis: 0.635, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7236, kappa: 0.4297, kb_relative_information_score: 431.2092, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7238, predictive_accuracy: 0.726, prior_entropy: 0.9815, recall: 0.726, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0606, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7283, kappa: 0.4464, kb_relative_information_score: 433.2848, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7315, predictive_accuracy: 0.727, prior_entropy: 0.9815, recall: 0.727, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0586, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9209, kappa: 0.8374, kb_relative_information_score: 835.9518, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9209, predictive_accuracy: 0.921, prior_entropy: 0.9815, recall: 0.921, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5695, usercpu_time_millis: 369.423, usercpu_time_millis_testing: 5.423, usercpu_time_millis_training: 364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5943, f_measure: 0.606, kappa: 0.2025, kb_relative_information_score: 248.5561, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.6377, predictive_accuracy: 0.638, prior_entropy: 0.9815, recall: 0.638, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.219, usercpu_time_millis: 1.895, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7104, kappa: 0.4034, kb_relative_information_score: 402.1507, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.71, predictive_accuracy: 0.712, prior_entropy: 0.9815, recall: 0.712, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0873, usercpu_time_millis: 0.546, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8752, kappa: 0.7428, kb_relative_information_score: 742.5496, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8763, predictive_accuracy: 0.876, prior_entropy: 0.9815, recall: 0.876, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7135, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7773, kappa: 0.5408, kb_relative_information_score: 541.2161, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7778, predictive_accuracy: 0.779, prior_entropy: 0.9815, recall: 0.779, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9525, usercpu_time_millis: 1.743, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.8208, kappa: 0.632, kb_relative_information_score: 628.3915, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8207, predictive_accuracy: 0.821, prior_entropy: 0.9815, recall: 0.821, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8572, usercpu_time_millis: 31.624, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 31.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7447, kappa: 0.4733, kb_relative_information_score: 474.7968, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7452, predictive_accuracy: 0.747, prior_entropy: 0.9815, recall: 0.747, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0191, usercpu_time_millis: 0.439, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.914, kappa: 0.8234, kb_relative_information_score: 821.4225, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 0.9815, recall: 0.914, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5942, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7945, kappa: 0.5774, kb_relative_information_score: 574.4258, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7943, predictive_accuracy: 0.795, prior_entropy: 0.9815, recall: 0.795, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9174, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 0.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.9248, kappa: 0.8453, kb_relative_information_score: 844.2542, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 0.9815, recall: 0.925, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5549, usercpu_time_millis: 24.003, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 22.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7131, kappa: 0.4086, kb_relative_information_score: 408.3775, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7128, predictive_accuracy: 0.715, prior_entropy: 0.9815, recall: 0.715, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0816, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7837, kappa: 0.5582, kb_relative_information_score: 549.5186, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7855, predictive_accuracy: 0.783, prior_entropy: 0.9815, recall: 0.783, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9438, usercpu_time_millis: 2.681, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 2.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7104, kappa: 0.4034, kb_relative_information_score: 402.1507, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.71, predictive_accuracy: 0.712, prior_entropy: 0.9815, recall: 0.712, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0873, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7104, kappa: 0.4034, kb_relative_information_score: 402.1507, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.71, predictive_accuracy: 0.712, prior_entropy: 0.9815, recall: 0.712, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0873, usercpu_time_millis: 0.525, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7198, kappa: 0.423, kb_relative_information_score: 420.8312, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7193, predictive_accuracy: 0.721, prior_entropy: 0.9815, recall: 0.721, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.0702, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7103, kappa: 0.403, kb_relative_information_score: 402.1507, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7099, predictive_accuracy: 0.712, prior_entropy: 0.9815, recall: 0.712, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0873, usercpu_time_millis: 0.048, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7103, kappa: 0.403, kb_relative_information_score: 402.1507, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7099, predictive_accuracy: 0.712, prior_entropy: 0.9815, recall: 0.712, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0873, usercpu_time_millis: 0.063, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7937, kappa: 0.5786, kb_relative_information_score: 570.2746, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7954, predictive_accuracy: 0.793, prior_entropy: 0.9815, recall: 0.793, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9218, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7985, kappa: 0.5878, kb_relative_information_score: 580.6526, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7996, predictive_accuracy: 0.798, prior_entropy: 0.9815, recall: 0.798, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9106, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8773, kappa: 0.7473, kb_relative_information_score: 746.7008, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8781, predictive_accuracy: 0.878, prior_entropy: 0.9815, recall: 0.878, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7077, usercpu_time_millis: 2.632, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 2.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8997, kappa: 0.7938, kb_relative_information_score: 792.3641, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9815, recall: 0.9, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6407, usercpu_time_millis: 2.383, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.7449, kappa: 0.4787, kb_relative_information_score: 468.57, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.744, prior_entropy: 0.9815, recall: 0.744, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0251, usercpu_time_millis: 2.902, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 2.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7198, kappa: 0.423, kb_relative_information_score: 420.8312, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7193, predictive_accuracy: 0.721, prior_entropy: 0.9815, recall: 0.721, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.0702, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.72, kappa: 0.4226, kb_relative_information_score: 422.9068, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7198, predictive_accuracy: 0.722, prior_entropy: 0.9815, recall: 0.722, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0683, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7336, kappa: 0.4512, kb_relative_information_score: 449.8896, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7333, predictive_accuracy: 0.735, prior_entropy: 0.9815, recall: 0.735, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.043, usercpu_time_millis: 1.606, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9329, kappa: 0.8623, kb_relative_information_score: 860.859, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9329, predictive_accuracy: 0.933, prior_entropy: 0.9815, recall: 0.933, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5244, usercpu_time_millis: 171.801, usercpu_time_millis_testing: 10.171, usercpu_time_millis_training: 161.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9096, kappa: 0.8138, kb_relative_information_score: 813.1201, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9103, predictive_accuracy: 0.91, prior_entropy: 0.9815, recall: 0.91, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6078, usercpu_time_millis: 4.314, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 3.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 128.1711, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9815, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8948, kappa: 0.7837, kb_relative_information_score: 781.9861, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8948, predictive_accuracy: 0.895, prior_entropy: 0.9815, recall: 0.895, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6565, usercpu_time_millis: 54.26, usercpu_time_millis_testing: 7.782, usercpu_time_millis_training: 46.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7014, kappa: 0.3918, kb_relative_information_score: 377.2435, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7048, predictive_accuracy: 0.7, prior_entropy: 0.9815, recall: 0.7, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1097, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8705, kappa: 0.7336, kb_relative_information_score: 732.1716, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8707, predictive_accuracy: 0.871, prior_entropy: 0.9815, recall: 0.871, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7277, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8986, kappa: 0.7914, kb_relative_information_score: 790.2885, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.899, predictive_accuracy: 0.899, prior_entropy: 0.9815, recall: 0.899, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6439, usercpu_time_millis: 3.977, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 3.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7104, kappa: 0.4034, kb_relative_information_score: 402.1507, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.71, predictive_accuracy: 0.712, prior_entropy: 0.9815, recall: 0.712, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0873, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9208, kappa: 0.837, kb_relative_information_score: 835.9518, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.921, predictive_accuracy: 0.921, prior_entropy: 0.9815, recall: 0.921, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5695, usercpu_time_millis: 25.239, usercpu_time_millis_testing: 2.016, usercpu_time_millis_training: 23.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.93, kappa: 0.8565, kb_relative_information_score: 854.6322, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9301, predictive_accuracy: 0.93, prior_entropy: 0.9815, recall: 0.93, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5361, usercpu_time_millis: 5.493, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 5.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7697, kappa: 0.5294, kb_relative_information_score: 520.4601, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7713, predictive_accuracy: 0.769, prior_entropy: 0.9815, recall: 0.769, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9738, usercpu_time_millis: 2.253, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 2.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8475, kappa: 0.6885, kb_relative_information_score: 635.8486, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8491, predictive_accuracy: 0.847, prior_entropy: 0.9815, recall: 0.847, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6539, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8388, kappa: 0.6688, kb_relative_information_score: 511.9726, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8387, predictive_accuracy: 0.839, prior_entropy: 0.9815, recall: 0.839, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6691, scimark_benchmark: 972.587, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8875, kappa: 0.7684, kb_relative_information_score: 657.1269, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9815, recall: 0.888, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6049, scimark_benchmark: 851.2074, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8276, kappa: 0.648, kb_relative_information_score: 640.8451, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8295, predictive_accuracy: 0.827, prior_entropy: 0.9815, recall: 0.827, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8427, scimark_benchmark: 931.771, usercpu_time_millis: 300, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8276, kappa: 0.648, kb_relative_information_score: 640.8451, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8295, predictive_accuracy: 0.827, prior_entropy: 0.9815, recall: 0.827, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8427, scimark_benchmark: 931.771, usercpu_time_millis: 290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9027, kappa: 0.7997, kb_relative_information_score: 710.6969, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.903, predictive_accuracy: 0.903, prior_entropy: 0.9815, recall: 0.903, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5497, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.737, kappa: 0.4604, kb_relative_information_score: 318.5822, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7371, predictive_accuracy: 0.737, prior_entropy: 0.9815, recall: 0.737, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8313, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8986, kappa: 0.7913, kb_relative_information_score: 698.16, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.899, predictive_accuracy: 0.899, prior_entropy: 0.9815, recall: 0.899, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6018, scimark_benchmark: 931.771, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8276, kappa: 0.648, kb_relative_information_score: 640.8451, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8295, predictive_accuracy: 0.827, prior_entropy: 0.9815, recall: 0.827, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8427, scimark_benchmark: 932.438, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8986, kappa: 0.7913, kb_relative_information_score: 698.16, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.899, predictive_accuracy: 0.899, prior_entropy: 0.9815, recall: 0.899, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6018, scimark_benchmark: 936.3373, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9168, kappa: 0.8289, kb_relative_information_score: 697.3714, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 0.9815, recall: 0.917, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5092, scimark_benchmark: 974.2014, usercpu_time_millis: 490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8475, kappa: 0.6885, kb_relative_information_score: 635.8486, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8491, predictive_accuracy: 0.847, prior_entropy: 0.9815, recall: 0.847, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6539, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8388, kappa: 0.6688, kb_relative_information_score: 511.9726, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8387, predictive_accuracy: 0.839, prior_entropy: 0.9815, recall: 0.839, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6691, scimark_benchmark: 901.6243, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8276, kappa: 0.648, kb_relative_information_score: 640.8451, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8295, predictive_accuracy: 0.827, prior_entropy: 0.9815, recall: 0.827, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8427, scimark_benchmark: 932.438, usercpu_time_millis: 260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8276, kappa: 0.648, kb_relative_information_score: 640.8451, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.8295, predictive_accuracy: 0.827, prior_entropy: 0.9815, recall: 0.827, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8427, scimark_benchmark: 934.5964, usercpu_time_millis: 320, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 620.0319, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 0.9815, recall: 0.845, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6663, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9027, kappa: 0.7997, kb_relative_information_score: 710.6969, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.903, predictive_accuracy: 0.903, prior_entropy: 0.9815, recall: 0.903, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5497, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs