OpenML
Supervised Classification on fri_c1_100_5

Supervised Classification on fri_c1_100_5

Task 3694 Supervised Classification fri_c1_100_5 914 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: 0.7537, f_measure: 0.7576, kappa: 0.5092, kb_relative_information_score: 51.163, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9117, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7394, kappa: 0.4726, kb_relative_information_score: 44.0797, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7393, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9044, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8102, kappa: 0.6169, kb_relative_information_score: 50.638, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7417, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6907, kappa: 0.3775, kb_relative_information_score: 36.5001, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6925, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5508, root_relative_squared_error: 1.1071, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 44.4851, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0333, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7258, kappa: 0.4549, kb_relative_information_score: 22.7372, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7676, predictive_accuracy: 0.74, prior_entropy: 0.9931, recall: 0.74, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9168, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7644, kappa: 0.5248, kb_relative_information_score: 37.1075, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7789, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8202, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -0.1774, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 57.3836, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9211, usercpu_time_millis: 319.555, usercpu_time_millis_testing: 2.644, usercpu_time_millis_training: 316.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8501, kappa: 0.6976, kb_relative_information_score: 69.5517, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7785, usercpu_time_millis: 84.928, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 84.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7456, kappa: 0.4856, kb_relative_information_score: 49.2715, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7539, predictive_accuracy: 0.75, prior_entropy: 0.9931, recall: 0.75, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5, root_relative_squared_error: 1.005, usercpu_time_millis: 8.438, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 8.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.78, kappa: 0.5556, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.697, kappa: 0.3865, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6992, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6687, kappa: 0.3293, kb_relative_information_score: 33.0474, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1547, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7989, kappa: 0.5927, kb_relative_information_score: 59.4116, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8003, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8989, usercpu_time_millis: 2.238, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 1.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8003, kappa: 0.5976, kb_relative_information_score: 59.4116, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8013, predictive_accuracy: 0.8, prior_entropy: 0.9931, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8989, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7252, kappa: 0.4444, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7328, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 3.897, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 3.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.8298, kappa: 0.6559, kb_relative_information_score: 65.4957, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9931, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8288, usercpu_time_millis: 4.432, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 3.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.84, kappa: 0.6768, kb_relative_information_score: 67.5237, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9931, recall: 0.84, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4, root_relative_squared_error: 0.804, usercpu_time_millis: 1.14, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7097, kappa: 0.413, kb_relative_information_score: 41.1595, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7095, predictive_accuracy: 0.71, prior_entropy: 0.9931, recall: 0.71, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0825, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7122, kappa: 0.4203, kb_relative_information_score: 43.1875, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7267, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0636, usercpu_time_millis: 14.198, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 14.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6457, kappa: 0.2828, kb_relative_information_score: 28.9914, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1892, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.3857, kappa: -0.02, kb_relative_information_score: 6.6832, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3633, usercpu_time_millis: 0.356, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7697, kappa: 0.5344, kb_relative_information_score: 53.3276, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.964, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6255, kappa: 0.2418, kb_relative_information_score: 24.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6272, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2227, usercpu_time_millis: 0.933, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7804, kappa: 0.5573, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7813, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.8603, kappa: 0.7206, kb_relative_information_score: 71.5797, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8669, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7521, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6457, kappa: 0.2828, kb_relative_information_score: 28.9914, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1892, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7533, kappa: 0.5031, kb_relative_information_score: 51.2996, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9847, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6567, kappa: 0.3047, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6581, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721, usercpu_time_millis: 0.029, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7594, kappa: 0.5132, kb_relative_information_score: 51.2996, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7594, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9847, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6567, kappa: 0.3047, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6581, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721, usercpu_time_millis: 0.037, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7576, kappa: 0.5092, kb_relative_information_score: 51.2996, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7609, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9847, usercpu_time_millis: 1.649, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7267, kappa: 0.4467, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7778, kappa: 0.5501, kb_relative_information_score: 55.3556, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9428, usercpu_time_millis: 1.241, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6457, kappa: 0.2828, kb_relative_information_score: 28.9914, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6479, predictive_accuracy: 0.65, prior_entropy: 0.9931, recall: 0.65, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1892, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6567, kappa: 0.3047, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6581, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7289, kappa: 0.4512, kb_relative_information_score: 45.2155, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7292, predictive_accuracy: 0.73, prior_entropy: 0.9931, recall: 0.73, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0445, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5819, kappa: 0.1772, kb_relative_information_score: 20.8793, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6141, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2553, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8182, kappa: 0.6319, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8226, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528, usercpu_time_millis: 21.381, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 20.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.07, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 8.7112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8102, kappa: 0.6169, kb_relative_information_score: 61.4397, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 0.9931, recall: 0.81, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8762, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 37.1034, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1192, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.509, kappa: 0.1087, kb_relative_information_score: 16.8233, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6328, predictive_accuracy: 0.59, prior_entropy: 0.9931, recall: 0.59, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2871, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7892, kappa: 0.5732, kb_relative_information_score: 57.3836, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9211, usercpu_time_millis: 2.945, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7193, kappa: 0.432, kb_relative_information_score: 43.1875, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7192, predictive_accuracy: 0.72, prior_entropy: 0.9931, recall: 0.72, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0636, usercpu_time_millis: 0.248, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8503, kappa: 0.6988, kb_relative_information_score: 69.5517, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8522, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7785, usercpu_time_millis: 0.723, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8501, kappa: 0.6976, kb_relative_information_score: 69.5517, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7785, usercpu_time_millis: 9.161, usercpu_time_millis_testing: 1.465, usercpu_time_millis_training: 7.696,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6255, kappa: 0.2418, kb_relative_information_score: 24.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6272, predictive_accuracy: 0.63, prior_entropy: 0.9931, recall: 0.63, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6567, kappa: 0.3047, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6581, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6567, kappa: 0.3047, kb_relative_information_score: 31.0194, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6581, predictive_accuracy: 0.66, prior_entropy: 0.9931, recall: 0.66, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1721,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.3903, kb_relative_information_score: 0.5785, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0018,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7892, kappa: 0.5732, kb_relative_information_score: 39.9714, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 32.5715, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 32.5715, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 32.5715, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 21.2774, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 21.2774, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 21.2774, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8503, kappa: 0.6988, kb_relative_information_score: 58.7865, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8522, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8503, kappa: 0.6988, kb_relative_information_score: 58.7865, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8522, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8501, kappa: 0.6976, kb_relative_information_score: 54.1625, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8501, kappa: 0.6976, kb_relative_information_score: 54.1625, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.3903, kb_relative_information_score: 0.5785, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.5819, kappa: 0.1772, kb_relative_information_score: 16.186, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6141, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.5819, kappa: 0.1772, kb_relative_information_score: 16.186, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6141, predictive_accuracy: 0.61, prior_entropy: 0.9931, recall: 0.61, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7892, kappa: 0.5732, kb_relative_information_score: 39.9714, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7892, kappa: 0.5732, kb_relative_information_score: 39.9714, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7902, kappa: 0.5766, kb_relative_information_score: 32.5715, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7905, predictive_accuracy: 0.79, prior_entropy: 0.9931, recall: 0.79, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 21.2774, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 21.2774, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6876, kappa: 0.3673, kb_relative_information_score: 21.2774, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6888, predictive_accuracy: 0.69, prior_entropy: 0.9931, recall: 0.69, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8503, kappa: 0.6988, kb_relative_information_score: 58.7865, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8522, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8503, kappa: 0.6988, kb_relative_information_score: 58.7865, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8522, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8501, kappa: 0.6976, kb_relative_information_score: 54.1625, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8501, kappa: 0.6976, kb_relative_information_score: 54.1625, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.8504, predictive_accuracy: 0.85, prior_entropy: 0.9931, recall: 0.85, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7005,

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

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From your own software

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

OpenML APIs