Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 146817 Supervised Classification steel-plates-fault 9051 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, kappa: 0.5331, kb_relative_information_score: 0.5537, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6553, prior_entropy: 2.4107, recall: 0.6553, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7576, kappa: 0.6874, kb_relative_information_score: 0.7283, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.759, predictive_accuracy: 0.7568, prior_entropy: 2.4107, recall: 0.7568, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7486, kappa: 0.6785, kb_relative_information_score: 0.7186, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7515, predictive_accuracy: 0.7491, prior_entropy: 2.4107, recall: 0.7491, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7626, kappa: 0.6945, kb_relative_information_score: 0.7331, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7635, predictive_accuracy: 0.7625, prior_entropy: 2.4107, recall: 0.7625, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7387, kappa: 0.6624, kb_relative_information_score: 0.6996, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7415, predictive_accuracy: 0.7388, prior_entropy: 2.4107, recall: 0.7388, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7292, kappa: 0.6505, kb_relative_information_score: 0.6886, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7312, predictive_accuracy: 0.7295, prior_entropy: 2.4107, recall: 0.7295, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.278, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7221, kappa: 0.642, kb_relative_information_score: 0.6737, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.731, predictive_accuracy: 0.7249, prior_entropy: 2.4107, recall: 0.7249, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.6973, kappa: 0.615, kb_relative_information_score: 0.6428, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7097, predictive_accuracy: 0.7063, prior_entropy: 2.4107, recall: 0.7063, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, kappa: 0.4651, kb_relative_information_score: 0.4816, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.6141, prior_entropy: 2.4107, recall: 0.6141, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.332, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7668, kappa: 0.6986, kb_relative_information_score: 0.7363, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7686, predictive_accuracy: 0.7661, prior_entropy: 2.4107, recall: 0.7661, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.7755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7358, kappa: 0.6583, kb_relative_information_score: 0.6946, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7398, predictive_accuracy: 0.7362, prior_entropy: 2.4107, recall: 0.7362, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7593, kappa: 0.6884, kb_relative_information_score: 0.727, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7619, predictive_accuracy: 0.7584, prior_entropy: 2.4107, recall: 0.7584, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, kappa: 0.4152, kb_relative_information_score: 0.4404, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5863, prior_entropy: 2.4107, recall: 0.5863, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3438, root_relative_squared_error: 1.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.76, kappa: 0.6898, kb_relative_information_score: 0.7212, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7625, predictive_accuracy: 0.7615, prior_entropy: 2.4107, recall: 0.7615, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7466, kappa: 0.6722, kb_relative_information_score: 0.7105, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.749, predictive_accuracy: 0.746, prior_entropy: 2.4107, recall: 0.746, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7759, kappa: 0.711, kb_relative_information_score: 0.7424, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7772, predictive_accuracy: 0.7764, prior_entropy: 2.4107, recall: 0.7764, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, kappa: 0.1404, kb_relative_information_score: 0.2419, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4276, prior_entropy: 2.4107, recall: 0.4276, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.2131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7764, kappa: 0.7119, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7776, predictive_accuracy: 0.7769, prior_entropy: 2.4107, recall: 0.7769, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.719, kappa: 0.6374, kb_relative_information_score: 0.678, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7203, predictive_accuracy: 0.7187, prior_entropy: 2.4107, recall: 0.7187, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.8504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.6722, kappa: 0.5943, kb_relative_information_score: 0.6159, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6959, predictive_accuracy: 0.6945, prior_entropy: 2.4107, recall: 0.6945, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7517, kappa: 0.6783, kb_relative_information_score: 0.7089, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7582, predictive_accuracy: 0.7543, prior_entropy: 2.4107, recall: 0.7543, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.265, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7094, kappa: 0.6279, kb_relative_information_score: 0.6575, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7205, predictive_accuracy: 0.7151, prior_entropy: 2.4107, recall: 0.7151, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.6742, kappa: 0.5953, kb_relative_information_score: 0.6182, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6914, predictive_accuracy: 0.6945, prior_entropy: 2.4107, recall: 0.6945, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7158, kappa: 0.6336, kb_relative_information_score: 0.674, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7168, predictive_accuracy: 0.7156, prior_entropy: 2.4107, recall: 0.7156, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7629, kappa: 0.6939, kb_relative_information_score: 0.7265, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7639, predictive_accuracy: 0.7635, prior_entropy: 2.4107, recall: 0.7635, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.5559, kappa: 0.4461, kb_relative_information_score: 0.4732, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.5542, predictive_accuracy: 0.5842, prior_entropy: 2.4107, recall: 0.5842, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.0339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.762, kappa: 0.6954, kb_relative_information_score: 0.7336, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7634, predictive_accuracy: 0.7625, prior_entropy: 2.4107, recall: 0.7625, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7601, kappa: 0.6925, kb_relative_information_score: 0.7299, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7618, predictive_accuracy: 0.7604, prior_entropy: 2.4107, recall: 0.7604, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.7848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7543, kappa: 0.6853, kb_relative_information_score: 0.7238, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.755, predictive_accuracy: 0.7548, prior_entropy: 2.4107, recall: 0.7548, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7581, kappa: 0.6899, kb_relative_information_score: 0.7279, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7592, predictive_accuracy: 0.7584, prior_entropy: 2.4107, recall: 0.7584, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7548, kappa: 0.6858, kb_relative_information_score: 0.7235, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7553, predictive_accuracy: 0.7553, prior_entropy: 2.4107, recall: 0.7553, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1529, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 2.4107, recall: 0.3467, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.432, root_relative_squared_error: 1.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, kappa: 0.2806, kb_relative_information_score: 0.3352, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5095, prior_entropy: 2.4107, recall: 0.5095, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, kappa: 0.2653, kb_relative_information_score: 0.3239, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5018, prior_entropy: 2.4107, recall: 0.5018, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.1317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, kappa: 0.2681, kb_relative_information_score: 0.3257, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5028, prior_entropy: 2.4107, recall: 0.5028, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7226, kappa: 0.6418, kb_relative_information_score: 0.6812, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7239, predictive_accuracy: 0.7228, prior_entropy: 2.4107, recall: 0.7228, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7025, kappa: 0.6194, kb_relative_information_score: 0.651, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7098, predictive_accuracy: 0.7084, prior_entropy: 2.4107, recall: 0.7084, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, kappa: 0.2647, kb_relative_information_score: 0.3236, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.5018, prior_entropy: 2.4107, recall: 0.5018, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.1317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7376, kappa: 0.6658, kb_relative_information_score: 0.709, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7394, predictive_accuracy: 0.7388, prior_entropy: 2.4107, recall: 0.7388, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: 0.0009, kb_relative_information_score: 0.1534, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.3472, prior_entropy: 2.4107, recall: 0.3472, relative_absolute_error: 0.8388, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.5599, kappa: 0.4224, kb_relative_information_score: 0.4777, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.5853, predictive_accuracy: 0.5636, prior_entropy: 2.4107, recall: 0.5636, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3531, root_relative_squared_error: 1.0592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7391, kappa: 0.666, kb_relative_information_score: 0.708, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7398, predictive_accuracy: 0.7398, prior_entropy: 2.4107, recall: 0.7398, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7099, kappa: 0.6318, kb_relative_information_score: 0.6798, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7118, predictive_accuracy: 0.7115, prior_entropy: 2.4107, recall: 0.7115, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7198, kappa: 0.6391, kb_relative_information_score: 0.6794, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7206, predictive_accuracy: 0.7197, prior_entropy: 2.4107, recall: 0.7197, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.4815, kappa: 0.3149, kb_relative_information_score: 0.363, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.5119, predictive_accuracy: 0.49, prior_entropy: 2.4107, recall: 0.49, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3817, root_relative_squared_error: 1.1451,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7621, kappa: 0.6944, kb_relative_information_score: 0.7335, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7642, predictive_accuracy: 0.762, prior_entropy: 2.4107, recall: 0.762, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7685, kappa: 0.7016, kb_relative_information_score: 0.7376, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7698, predictive_accuracy: 0.7682, prior_entropy: 2.4107, recall: 0.7682, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7569, kappa: 0.6859, kb_relative_information_score: 0.7246, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.759, predictive_accuracy: 0.7563, prior_entropy: 2.4107, recall: 0.7563, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7158, kappa: 0.6336, kb_relative_information_score: 0.674, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7168, predictive_accuracy: 0.7156, prior_entropy: 2.4107, recall: 0.7156, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7642, kappa: 0.695, kb_relative_information_score: 0.7325, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7661, predictive_accuracy: 0.7635, prior_entropy: 2.4107, recall: 0.7635, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7747, kappa: 0.7098, kb_relative_information_score: 0.745, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7759, predictive_accuracy: 0.7749, prior_entropy: 2.4107, recall: 0.7749, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7598, kappa: 0.6892, kb_relative_information_score: 0.7275, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7621, predictive_accuracy: 0.7589, prior_entropy: 2.4107, recall: 0.7589, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7723, kappa: 0.7072, kb_relative_information_score: 0.7439, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7732, predictive_accuracy: 0.7723, prior_entropy: 2.4107, recall: 0.7723, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.4405, kappa: 0.3157, kb_relative_information_score: 0.3725, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7767, predictive_accuracy: 0.5317, prior_entropy: 2.4107, recall: 0.5317, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3658, root_relative_squared_error: 1.0973,

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