Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113346 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8636, kappa: 0.6713, kb_relative_information_score: 3101.0194, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8637, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: -0.3608, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1248.2165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.585, kb_relative_information_score: -0.3608, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7761, kappa: 0.4933, kb_relative_information_score: 1880.9879, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8014, predictive_accuracy: 0.7678, prior_entropy: 0.8733, recall: 0.7678, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9051, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409, scimark_benchmark: 1230.3004, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409, scimark_benchmark: 1230.3004, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7605, kappa: 0.4483, kb_relative_information_score: 1121.7106, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7772, predictive_accuracy: 0.7531, prior_entropy: 0.8733, recall: 0.7531, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8905, scimark_benchmark: 479.2609, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7764, kappa: 0.4762, kb_relative_information_score: 1649.1669, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7857, predictive_accuracy: 0.7715, prior_entropy: 0.8733, recall: 0.7715, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.415, root_relative_squared_error: 0.9113, scimark_benchmark: 473.1656, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8636, kappa: 0.6713, kb_relative_information_score: 3101.0194, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8637, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7257, scimark_benchmark: 473.1656, usercpu_time_millis: 360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8973, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1254.1389, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.9035, kappa: 0.7653, kb_relative_information_score: 4058.248, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9032, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6791, scimark_benchmark: 473.1656, usercpu_time_millis: 4970, usercpu_time_millis_testing: 4960, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7901, kappa: 0.5187, kb_relative_information_score: 1992.7829, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8086, predictive_accuracy: 0.7833, prior_entropy: 0.8733, recall: 0.7833, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8853, scimark_benchmark: 1238.0921, usercpu_time_millis: 3240, usercpu_time_millis_testing: 3220, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8496, kappa: 0.6381, kb_relative_information_score: 2865.1756, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8499, predictive_accuracy: 0.8494, prior_entropy: 0.8733, recall: 0.8494, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.731, scimark_benchmark: 1226.7654, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9134, kappa: 0.791, kb_relative_information_score: 4072.5993, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9133, predictive_accuracy: 0.9136, prior_entropy: 0.8733, recall: 0.9136, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5913, scimark_benchmark: 1252.2217, usercpu_time_millis: 65140, usercpu_time_millis_testing: 3420, usercpu_time_millis_training: 61720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8296, kappa: 0.5872, kb_relative_information_score: 2421.8592, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8289, predictive_accuracy: 0.8303, prior_entropy: 0.8733, recall: 0.8303, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7499, scimark_benchmark: 1251.1889, usercpu_time_millis: 2090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8172, kappa: 0.5694, kb_relative_information_score: 2017.2671, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8237, predictive_accuracy: 0.8138, prior_entropy: 0.8733, recall: 0.8138, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7925, scimark_benchmark: 479.1828, usercpu_time_millis: 7790, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.8071, kappa: 0.5375, kb_relative_information_score: 2679.6806, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8083, predictive_accuracy: 0.8061, prior_entropy: 0.8733, recall: 0.8061, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9671, usercpu_time_millis: 17.899, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 17.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8736, kappa: 0.6929, kb_relative_information_score: 3641.2995, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.873, predictive_accuracy: 0.8745, prior_entropy: 0.8733, recall: 0.8745, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7779, usercpu_time_millis: 47.843, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 46.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.8019, kappa: 0.513, kb_relative_information_score: 2687.4775, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8005, predictive_accuracy: 0.8066, prior_entropy: 0.8733, recall: 0.8066, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9657, usercpu_time_millis: 7.812, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 7.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1886.9948, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0988, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8666, kappa: 0.6753, kb_relative_information_score: 3550.3355, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.866, predictive_accuracy: 0.8681, prior_entropy: 0.8733, recall: 0.8681, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7977, usercpu_time_millis: 12.049, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 11.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8753, kappa: 0.6979, kb_relative_information_score: 3659.4923, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8748, predictive_accuracy: 0.8758, prior_entropy: 0.8733, recall: 0.8758, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7738, usercpu_time_millis: 257.306, usercpu_time_millis_testing: 2.574, usercpu_time_millis_training: 254.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.8396, kappa: 0.6122, kb_relative_information_score: 3155.2921, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8392, predictive_accuracy: 0.8399, prior_entropy: 0.8733, recall: 0.8399, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8786, usercpu_time_millis: 1.384, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.6488, kappa: 0.1154, kb_relative_information_score: 1252.8462, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.658, predictive_accuracy: 0.7045, prior_entropy: 0.8733, recall: 0.7045, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5436, root_relative_squared_error: 1.1938, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8829, kappa: 0.7163, kb_relative_information_score: 3766.05, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8825, predictive_accuracy: 0.8834, prior_entropy: 0.8733, recall: 0.8834, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7498, usercpu_time_millis: 476.815, usercpu_time_millis_testing: 103.688, usercpu_time_millis_training: 373.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.585, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897, usercpu_time_millis: 1.727, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.7375, kappa: 0.3481, kb_relative_information_score: 1874, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7347, predictive_accuracy: 0.7487, prior_entropy: 0.8733, recall: 0.7487, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.1009, usercpu_time_millis: 3.566, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 3.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.7293, kappa: 0.3256, kb_relative_information_score: 1793.4319, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7268, predictive_accuracy: 0.743, prior_entropy: 0.8733, recall: 0.743, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.507, root_relative_squared_error: 1.1134, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7524, kappa: 0.3899, kb_relative_information_score: 2022.1413, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7495, predictive_accuracy: 0.7593, prior_entropy: 0.8733, recall: 0.7593, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0775, usercpu_time_millis: 10.701, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 8.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8636, kappa: 0.6713, kb_relative_information_score: 3485.3613, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8637, predictive_accuracy: 0.8634, prior_entropy: 0.8733, recall: 0.8634, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8116, usercpu_time_millis: 1.977, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9035, kappa: 0.7653, kb_relative_information_score: 4059.7336, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9032, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6793, usercpu_time_millis: 13.738, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 12.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.8984, kappa: 0.7526, kb_relative_information_score: 3992.1604, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8982, predictive_accuracy: 0.8995, prior_entropy: 0.8733, recall: 0.8995, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6961, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8554, kappa: 0.6462, kb_relative_information_score: 3407.3922, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8549, predictive_accuracy: 0.8579, prior_entropy: 0.8733, recall: 0.8579, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.377, root_relative_squared_error: 0.8279, usercpu_time_millis: 11.266, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 10.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7524, kappa: 0.3899, kb_relative_information_score: 2022.1413, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7495, predictive_accuracy: 0.7593, prior_entropy: 0.8733, recall: 0.7593, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.0775, usercpu_time_millis: 0.439, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.74, kappa: 0.3559, kb_relative_information_score: 1889.5938, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.737, predictive_accuracy: 0.7498, prior_entropy: 0.8733, recall: 0.7498, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0984, usercpu_time_millis: 0.249, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8483, kappa: 0.6324, kb_relative_information_score: 3282.6416, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8477, predictive_accuracy: 0.849, prior_entropy: 0.8733, recall: 0.849, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.8534, usercpu_time_millis: 9.523, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 8.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1886.9948, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0988, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1886.9948, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0988, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7382, kappa: 0.351, kb_relative_information_score: 1868.802, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7351, predictive_accuracy: 0.7483, prior_entropy: 0.8733, recall: 0.7483, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.1017, usercpu_time_millis: 4.683, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7865, kappa: 0.485, kb_relative_information_score: 2406.7888, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7864, predictive_accuracy: 0.7866, prior_entropy: 0.8733, recall: 0.7866, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4619, root_relative_squared_error: 1.0144, usercpu_time_millis: 12.847, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 12.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1886.9948, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0988, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7678, kappa: 0.4657, kb_relative_information_score: 2040.334, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.785, predictive_accuracy: 0.7605, prior_entropy: 0.8733, recall: 0.7605, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0746, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 1.71, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8151, kappa: 0.5514, kb_relative_information_score: 2822.624, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8142, predictive_accuracy: 0.8162, prior_entropy: 0.8733, recall: 0.8162, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9414, usercpu_time_millis: 58.617, usercpu_time_millis_testing: 3.469, usercpu_time_millis_training: 55.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.8098, kappa: 0.5423, kb_relative_information_score: 2726.4621, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8102, predictive_accuracy: 0.8094, prior_entropy: 0.8733, recall: 0.8094, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9588, usercpu_time_millis: 4.085, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 4.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.7753, kappa: 0.4565, kb_relative_information_score: 2256.0485, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7747, predictive_accuracy: 0.7759, prior_entropy: 0.8733, recall: 0.7759, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.0396, usercpu_time_millis: 46.533, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 46.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7554, kappa: 0.4069, kb_relative_information_score: 1988.3546, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7542, predictive_accuracy: 0.7568, prior_entropy: 0.8733, recall: 0.7568, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.0829, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.7383, kappa: 0.3597, kb_relative_information_score: 1790.8329, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7354, predictive_accuracy: 0.7428, prior_entropy: 0.8733, recall: 0.7428, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.1138, usercpu_time_millis: 1.058, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.585, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897, usercpu_time_millis: 3.909, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 3.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.8425, kappa: 0.6203, kb_relative_information_score: 3191.6777, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8426, predictive_accuracy: 0.8425, prior_entropy: 0.8733, recall: 0.8425, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8715, usercpu_time_millis: 2.397, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 2.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1886.9948, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0988, usercpu_time_millis: 0.333, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.7751, kappa: 0.4455, kb_relative_information_score: 2334.0176, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7731, predictive_accuracy: 0.7815, prior_entropy: 0.8733, recall: 0.7815, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.0266, usercpu_time_millis: 127.674, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 127.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.7378, kappa: 0.3492, kb_relative_information_score: 1874, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7349, predictive_accuracy: 0.7487, prior_entropy: 0.8733, recall: 0.7487, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.1009, usercpu_time_millis: 0.887, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7933, kappa: 0.5239, kb_relative_information_score: 2411.9867, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8095, predictive_accuracy: 0.787, prior_entropy: 0.8733, recall: 0.787, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.0135, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7393, kappa: 0.3541, kb_relative_information_score: 1881.7969, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7363, predictive_accuracy: 0.7493, prior_entropy: 0.8733, recall: 0.7493, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0997, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9113, kappa: 0.7855, kb_relative_information_score: 4161.0934, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9111, predictive_accuracy: 0.9115, prior_entropy: 0.8733, recall: 0.9115, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.6531, usercpu_time_millis: 22.511, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 22.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.9043, kappa: 0.7684, kb_relative_information_score: 4064.9316, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9041, predictive_accuracy: 0.9047, prior_entropy: 0.8733, recall: 0.9047, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6779, usercpu_time_millis: 38.999, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 37.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.9057, kappa: 0.7718, kb_relative_information_score: 4083.1243, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9055, predictive_accuracy: 0.906, prior_entropy: 0.8733, recall: 0.906, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6733, usercpu_time_millis: 363.033, usercpu_time_millis_testing: 38.913, usercpu_time_millis_training: 324.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.8357, kappa: 0.5979, kb_relative_information_score: 3137.0993, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8349, predictive_accuracy: 0.8386, prior_entropy: 0.8733, recall: 0.8386, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8822, usercpu_time_millis: 12.954, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 12.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.8155, kappa: 0.5489, kb_relative_information_score: 2853.8116, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8142, predictive_accuracy: 0.8185, prior_entropy: 0.8733, recall: 0.8185, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9357, usercpu_time_millis: 0.368, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7699, kappa: 0.4429, kb_relative_information_score: 2185.8764, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.769, predictive_accuracy: 0.7709, prior_entropy: 0.8733, recall: 0.7709, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0511, usercpu_time_millis: 1.471, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 1.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7895, kappa: 0.5061, kb_relative_information_score: 2383.3981, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.798, predictive_accuracy: 0.785, prior_entropy: 0.8733, recall: 0.785, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0183, usercpu_time_millis: 187.407, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 187.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.7498, kappa: 0.3831, kb_relative_information_score: 1990.9536, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7468, predictive_accuracy: 0.757, prior_entropy: 0.8733, recall: 0.757, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.0825, usercpu_time_millis: 0.774, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7511, kappa: 0.3866, kb_relative_information_score: 2006.5474, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7482, predictive_accuracy: 0.7581, prior_entropy: 0.8733, recall: 0.7581, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.08, usercpu_time_millis: 1.003, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.8311, kappa: 0.5971, kb_relative_information_score: 3007.1508, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8335, predictive_accuracy: 0.8294, prior_entropy: 0.8733, recall: 0.8294, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9071, usercpu_time_millis: 4.413, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 4.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.8452, kappa: 0.6258, kb_relative_information_score: 3233.2612, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8449, predictive_accuracy: 0.8455, prior_entropy: 0.8733, recall: 0.8455, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8632, usercpu_time_millis: 16.075, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 15.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.8027, kappa: 0.5161, kb_relative_information_score: 2687.4775, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8011, predictive_accuracy: 0.8066, prior_entropy: 0.8733, recall: 0.8066, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9657, usercpu_time_millis: 7.895, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 7.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.8829, kappa: 0.7163, kb_relative_information_score: 3766.05, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8825, predictive_accuracy: 0.8834, prior_entropy: 0.8733, recall: 0.8834, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7498, usercpu_time_millis: 430.342, usercpu_time_millis_testing: 90.847, usercpu_time_millis_training: 339.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.585, kb_relative_information_score: 1281.4348, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8452, kappa: 0.6223, kb_relative_information_score: 3259.2509, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8444, predictive_accuracy: 0.8473, prior_entropy: 0.8733, recall: 0.8473, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.9087, kappa: 0.7792, kb_relative_information_score: 4124.7079, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9085, predictive_accuracy: 0.909, prior_entropy: 0.8733, recall: 0.909, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.842, kappa: 0.6192, kb_relative_information_score: 3183.8808, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 0.8733, recall: 0.842, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7552, kappa: 0.3976, kb_relative_information_score: 2053.3289, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7524, predictive_accuracy: 0.7615, prior_entropy: 0.8733, recall: 0.7615, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.84, kappa: 0.6127, kb_relative_information_score: 3165.688, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8395, predictive_accuracy: 0.8407, prior_entropy: 0.8733, recall: 0.8407, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8617, kappa: 0.6654, kb_relative_information_score: 3099.8875, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8613, predictive_accuracy: 0.8621, prior_entropy: 0.8733, recall: 0.8621, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.7213, scimark_benchmark: 1136.659, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9149, kappa: 0.7941, kb_relative_information_score: 3544.0299, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9147, predictive_accuracy: 0.9152, prior_entropy: 0.8733, recall: 0.9152, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5638, scimark_benchmark: 1036.5515, usercpu_time_millis: 3190, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8502, kappa: 0.6357, kb_relative_information_score: 2688.6179, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8494, predictive_accuracy: 0.8516, prior_entropy: 0.8733, recall: 0.8516, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7688, scimark_benchmark: 1191.8914, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409, scimark_benchmark: 1159.0192, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7742, kappa: 0.4531, kb_relative_information_score: 2245.6527, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7733, predictive_accuracy: 0.7752, prior_entropy: 0.8733, recall: 0.7752, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0413, scimark_benchmark: 1125.1279, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.7712, kappa: 0.4421, kb_relative_information_score: 2230.0588, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7693, predictive_accuracy: 0.7741, prior_entropy: 0.8733, recall: 0.7741, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0439, scimark_benchmark: 1051.0823, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8813, kappa: 0.7112, kb_relative_information_score: 3337.0914, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8809, predictive_accuracy: 0.8825, prior_entropy: 0.8733, recall: 0.8825, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6484, scimark_benchmark: 1254.1568, usercpu_time_millis: 2830, usercpu_time_millis_testing: 2820, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8585, kappa: 0.6514, kb_relative_information_score: 3035.7344, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8597, predictive_accuracy: 0.8625, prior_entropy: 0.8733, recall: 0.8625, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6705, scimark_benchmark: 1327.2975, usercpu_time_millis: 2240, usercpu_time_millis_testing: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8997, kappa: 0.756, kb_relative_information_score: 4006.2824, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8994, predictive_accuracy: 0.9006, prior_entropy: 0.8733, recall: 0.9006, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6921, scimark_benchmark: 1310.536, usercpu_time_millis: 1550, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7684, kappa: 0.4659, kb_relative_information_score: 1530.0456, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7844, predictive_accuracy: 0.7615, prior_entropy: 0.8733, recall: 0.7615, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9405, scimark_benchmark: 890.8198, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9118, kappa: 0.7864, kb_relative_information_score: 3508.3418, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9115, predictive_accuracy: 0.9121, prior_entropy: 0.8733, recall: 0.9121, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5717, scimark_benchmark: 1072.1246, usercpu_time_millis: 2820, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7793, kappa: 0.4838, kb_relative_information_score: 1659.8423, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7891, predictive_accuracy: 0.7742, prior_entropy: 0.8733, recall: 0.7742, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.9023, scimark_benchmark: 1056.0794, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8583, kappa: 0.6568, kb_relative_information_score: 3049.7014, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8578, predictive_accuracy: 0.859, prior_entropy: 0.8733, recall: 0.859, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.7282, scimark_benchmark: 890.1074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.7703, kappa: 0.4425, kb_relative_information_score: 2201.4702, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.769, predictive_accuracy: 0.772, prior_entropy: 0.8733, recall: 0.772, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0486, scimark_benchmark: 932.5358, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8785, kappa: 0.7042, kb_relative_information_score: 3293.4493, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.878, predictive_accuracy: 0.8797, prior_entropy: 0.8733, recall: 0.8797, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6566, scimark_benchmark: 955.899, usercpu_time_millis: 3150, usercpu_time_millis_testing: 3110, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8567, kappa: 0.6466, kb_relative_information_score: 3000.8293, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.858, predictive_accuracy: 0.8608, prior_entropy: 0.8733, recall: 0.8608, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.677, scimark_benchmark: 1020.8229, usercpu_time_millis: 2900, usercpu_time_millis_testing: 2870, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8736, kappa: 0.6851, kb_relative_information_score: 3717.9005, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8833, predictive_accuracy: 0.8801, prior_entropy: 0.8733, recall: 0.8801, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6504, scimark_benchmark: 1092.787, usercpu_time_millis: 2340, usercpu_time_millis_testing: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8706, kappa: 0.6775, kb_relative_information_score: 3683.9519, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8803, predictive_accuracy: 0.8773, prior_entropy: 0.8733, recall: 0.8773, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6577, scimark_benchmark: 1110.8005, usercpu_time_millis: 2170, usercpu_time_millis_testing: 2140, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.786, kappa: 0.5043, kb_relative_information_score: 1415.8866, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7998, predictive_accuracy: 0.78, prior_entropy: 0.8733, recall: 0.78, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8628, scimark_benchmark: 733.0925, usercpu_time_millis: 2640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7993, kappa: 0.5152, kb_relative_information_score: 2004.329, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.799, predictive_accuracy: 0.7996, prior_entropy: 0.8733, recall: 0.7996, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7946, scimark_benchmark: 675.2082, usercpu_time_millis: 2510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7839, kappa: 0.4985, kb_relative_information_score: 1382.9459, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7971, predictive_accuracy: 0.7779, prior_entropy: 0.8733, recall: 0.7779, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8642, scimark_benchmark: 1016.1698, usercpu_time_millis: 2390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.86, kappa: 0.6625, kb_relative_information_score: 3028.5866, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.86, predictive_accuracy: 0.8599, prior_entropy: 0.8733, recall: 0.8599, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7337, scimark_benchmark: 944.8364, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.9035, kappa: 0.7653, kb_relative_information_score: 4058.248, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9032, predictive_accuracy: 0.9043, prior_entropy: 0.8733, recall: 0.9043, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6791, scimark_benchmark: 930.1844, usercpu_time_millis: 1910, usercpu_time_millis_testing: 1840, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7676, kappa: 0.4654, kb_relative_information_score: 1554.5872, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7849, predictive_accuracy: 0.7604, prior_entropy: 0.8733, recall: 0.7604, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409, scimark_benchmark: 901.458, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8956, kappa: 0.7465, kb_relative_information_score: 3947.9779, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8952, predictive_accuracy: 0.8964, prior_entropy: 0.8733, recall: 0.8964, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.7069, scimark_benchmark: 1419.0275, usercpu_time_millis: 33760, usercpu_time_millis_testing: 1740, usercpu_time_millis_training: 32020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.4836, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8728, scimark_benchmark: 1280.1184, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9124, kappa: 0.7884, kb_relative_information_score: 3516.8756, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9123, predictive_accuracy: 0.9127, prior_entropy: 0.8733, recall: 0.9127, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5638, scimark_benchmark: 944.8364, usercpu_time_millis: 13820, usercpu_time_millis_testing: 2300, usercpu_time_millis_training: 11520,

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