OpenML
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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9051 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7729, kappa: 0.7067, kb_relative_information_score: 0.7414, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7744, predictive_accuracy: 0.7728, prior_entropy: 2.4107, recall: 0.7728, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7534, kappa: 0.679, kb_relative_information_score: 0.7058, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7701, 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: 0.8494, f_measure: 0.7754, kappa: 0.7111, kb_relative_information_score: 0.7457, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7769, predictive_accuracy: 0.7759, prior_entropy: 2.4107, recall: 0.7759, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7708, kappa: 0.7059, kb_relative_information_score: 0.7425, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.772, predictive_accuracy: 0.7713, prior_entropy: 2.4107, recall: 0.7713, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7669,
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: 0.8044, f_measure: 0.7013, kappa: 0.6206, kb_relative_information_score: 0.6717, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7044, predictive_accuracy: 0.7027, prior_entropy: 2.4107, recall: 0.7027, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.6851, kappa: 0.6001, kb_relative_information_score: 0.6559, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6893, predictive_accuracy: 0.6862, prior_entropy: 2.4107, recall: 0.6862, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.6974, kappa: 0.6158, kb_relative_information_score: 0.6681, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7012, predictive_accuracy: 0.6986, prior_entropy: 2.4107, recall: 0.6986, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.6926, kappa: 0.6101, kb_relative_information_score: 0.6638, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6966, predictive_accuracy: 0.694, prior_entropy: 2.4107, recall: 0.694, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.887,
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: 0.5, 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: 0.8427, 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: 0.8371, 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: 0.8493, 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: 0.85, 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: 0.8297, 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: 0.8403, 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: 0.8176, 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: 0.7975, 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: 0.7855, 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: 0.8044, 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: 0.8425, 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: 0.8372, 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: 0.8277, 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: 0.7266, f_measure: 0.6021, kappa: 0.4762, kb_relative_information_score: 0.5335, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6135, predictive_accuracy: 0.6002, prior_entropy: 2.4107, recall: 0.6002, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.338, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.6951, kappa: 0.6134, kb_relative_information_score: 0.64, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.707, predictive_accuracy: 0.7058, prior_entropy: 2.4107, recall: 0.7058, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8697,
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: 0.7003, 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: 0.6502, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.3462, kappa: 0.1982, kb_relative_information_score: 0.2368, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.3723, predictive_accuracy: 0.3478, prior_entropy: 2.4107, recall: 0.3478, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.2949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7417, kappa: 0.6657, kb_relative_information_score: 0.7054, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7434, predictive_accuracy: 0.7409, prior_entropy: 2.4107, recall: 0.7409, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.6899, kappa: 0.6069, kb_relative_information_score: 0.6346, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.6998, predictive_accuracy: 0.7007, prior_entropy: 2.4107, recall: 0.7007, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7152, kappa: 0.6325, kb_relative_information_score: 0.6693, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7205, predictive_accuracy: 0.7172, prior_entropy: 2.4107, recall: 0.7172, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.8527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.715, kappa: 0.6317, kb_relative_information_score: 0.6709, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7195, predictive_accuracy: 0.7161, prior_entropy: 2.4107, recall: 0.7161, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7157, kappa: 0.6329, kb_relative_information_score: 0.6726, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7182, predictive_accuracy: 0.7161, prior_entropy: 2.4107, recall: 0.7161, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7332, kappa: 0.6545, kb_relative_information_score: 0.682, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7592, predictive_accuracy: 0.7393, prior_entropy: 2.4107, recall: 0.7393, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.8187,
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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: 0.5873, kappa: 0.1954, kb_relative_information_score: 0.2793, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4606, prior_entropy: 2.4107, recall: 0.4606, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.4937, kappa: 0.3673, kb_relative_information_score: 0.4155, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7291, predictive_accuracy: 0.5616, prior_entropy: 2.4107, recall: 0.5616, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3539, root_relative_squared_error: 1.0617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, kappa: 0.2663, kb_relative_information_score: 0.3307, 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: 0.6422, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, kappa: 0.184, kb_relative_information_score: 0.2709, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, predictive_accuracy: 0.4539, prior_entropy: 2.4107, recall: 0.4539, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.395, root_relative_squared_error: 1.1849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7568, kappa: 0.6853, kb_relative_information_score: 0.7249, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7594, predictive_accuracy: 0.7558, prior_entropy: 2.4107, recall: 0.7558, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7574, kappa: 0.6864, kb_relative_information_score: 0.725, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7597, 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: 0.8361, 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,

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