OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142880 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.5819, kappa: 0.091, kb_relative_information_score: 140.1464, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6498, predictive_accuracy: 0.6672, prior_entropy: 0.9313, recall: 0.6672, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8458, kappa: 0.6594, kb_relative_information_score: 926.995, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9313, recall: 0.846, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, kb_relative_information_score: -10.0891, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7583, kappa: 0.4544, kb_relative_information_score: 508.8484, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7645, predictive_accuracy: 0.7692, prior_entropy: 0.9313, recall: 0.7692, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -17.7905, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.964, kappa: 0.9206, kb_relative_information_score: 1488.606, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.964, predictive_accuracy: 0.9639, prior_entropy: 0.9313, recall: 0.9639, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4855, f_measure: 0.5161, kappa: -0.0272, kb_relative_information_score: -265.1747, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5342, predictive_accuracy: 0.5059, prior_entropy: 0.9313, recall: 0.5059, relative_absolute_error: 1.0905, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 12.338, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6344, kappa: 0.1826, kb_relative_information_score: 230.0115, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6693, predictive_accuracy: 0.6847, prior_entropy: 0.9313, recall: 0.6847, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 9.4059, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9635, kappa: 0.9194, kb_relative_information_score: 1199.1707, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9635, predictive_accuracy: 0.9634, prior_entropy: 0.9313, recall: 0.9634, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.744, kappa: 0.4209, kb_relative_information_score: 549.5816, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7579, predictive_accuracy: 0.7604, prior_entropy: 0.9313, recall: 0.7604, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 22.68, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -6.5552, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8634, kappa: 0.6994, kb_relative_information_score: 1061.8728, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8639, predictive_accuracy: 0.863, prior_entropy: 0.9313, recall: 0.863, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.8022, kappa: 0.5676, kb_relative_information_score: 1046.3548, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8049, predictive_accuracy: 0.8006, prior_entropy: 0.9313, recall: 0.8006, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -23.9595, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -17.9368, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -33.2423, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6221, kappa: 0.1577, kb_relative_information_score: 142.5236, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6581, predictive_accuracy: 0.6775, prior_entropy: 0.9313, recall: 0.6775, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6479, kappa: 0.2048, kb_relative_information_score: 216.1427, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6586, predictive_accuracy: 0.6801, prior_entropy: 0.9313, recall: 0.6801, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.5561, kappa: 0.0547, kb_relative_information_score: -81.1638, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5726, predictive_accuracy: 0.5471, prior_entropy: 0.9313, recall: 0.5471, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6729, root_relative_squared_error: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kb_relative_information_score: 29.3344, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -16.6531, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 11.7525, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7082, kappa: 0.3408, kb_relative_information_score: 396.6843, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7125, predictive_accuracy: 0.7233, prior_entropy: 0.9313, recall: 0.7233, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 3.8883, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7614, kappa: 0.4702, kb_relative_information_score: 751.0845, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7604, predictive_accuracy: 0.763, prior_entropy: 0.9313, recall: 0.763, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -71.0841, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9552, kappa: 0.9012, kb_relative_information_score: 1293.7457, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9553, predictive_accuracy: 0.9552, prior_entropy: 0.9313, recall: 0.9552, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 11.701, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9841, kappa: 0.9651, kb_relative_information_score: 1696.2088, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9846, predictive_accuracy: 0.984, prior_entropy: 0.9313, recall: 0.984, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6128, kappa: 0.1436, kb_relative_information_score: 167.5095, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6628, predictive_accuracy: 0.6775, prior_entropy: 0.9313, recall: 0.6775, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8014, kappa: 0.5544, kb_relative_information_score: 642.1668, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.803, predictive_accuracy: 0.8063, prior_entropy: 0.9313, recall: 0.8063, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, kb_relative_information_score: 3.2265, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -12.7709, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7011, kappa: 0.3245, kb_relative_information_score: 357.1109, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7053, predictive_accuracy: 0.7172, prior_entropy: 0.9313, recall: 0.7172, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.4162, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 12.3759, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9463, kappa: 0.8812, kb_relative_information_score: 1258.8302, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9463, predictive_accuracy: 0.9464, prior_entropy: 0.9313, recall: 0.9464, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 7.5806, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -266.6068, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0789, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 20.2111, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kb_relative_information_score: 1.2569, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8384, kappa: 0.6439, kb_relative_information_score: 1111.5534, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8387, predictive_accuracy: 0.8382, prior_entropy: 0.9313, recall: 0.8382, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -975.9309, mean_absolute_error: 0.6533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.3467, prior_entropy: 0.9313, recall: 0.3467, relative_absolute_error: 1.4419, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.8083, root_relative_squared_error: 1.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4528, kappa: -0.0084, kb_relative_information_score: -508.9939, mean_absolute_error: 0.5487, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5416, predictive_accuracy: 0.4513, prior_entropy: 0.9313, recall: 0.4513, relative_absolute_error: 1.2111, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7407, root_relative_squared_error: 1.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 31.9511, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6199, kappa: 0.1564, kb_relative_information_score: 177.8824, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6656, predictive_accuracy: 0.6801, prior_entropy: 0.9313, recall: 0.6801, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -11.0778, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -2.3054, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9753, kappa: 0.9458, kb_relative_information_score: 1558.9528, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9756, predictive_accuracy: 0.9753, prior_entropy: 0.9313, recall: 0.9753, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 0.282, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -218.4206, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0628, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -70.1912, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6843, kappa: 0.2977, kb_relative_information_score: 375.219, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6823, predictive_accuracy: 0.6873, prior_entropy: 0.9313, recall: 0.6873, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -16.0274, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7447, kappa: 0.4248, kb_relative_information_score: 489.3998, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7472, predictive_accuracy: 0.7543, prior_entropy: 0.9313, recall: 0.7543, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 27.1679, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9472, kappa: 0.8839, kb_relative_information_score: 1520.7314, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9477, predictive_accuracy: 0.9469, prior_entropy: 0.9313, recall: 0.9469, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.6388, kappa: 0.1836, kb_relative_information_score: 178.7758, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6452, predictive_accuracy: 0.6698, prior_entropy: 0.9313, recall: 0.6698, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.585, kappa: 0.0784, kb_relative_information_score: 302.1247, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.606, predictive_accuracy: 0.6502, prior_entropy: 0.9313, recall: 0.6502, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -16.6735, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -72.0607, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -135.7267, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0372, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 62.6453, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -60.7705, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.2869, kappa: -0.0006, kb_relative_information_score: -840.2201, mean_absolute_error: 0.6229, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5456, predictive_accuracy: 0.3771, prior_entropy: 0.9313, recall: 0.3771, relative_absolute_error: 1.3748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7892, root_relative_squared_error: 1.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -19.1486, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -27.0706, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 24.7845, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 4.913, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -101.6319, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0266, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: 1.5906, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8097, kappa: 0.5751, kb_relative_information_score: 737.2072, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8095, predictive_accuracy: 0.8125, prior_entropy: 0.9313, recall: 0.8125, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 5.7497, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9561, kappa: 0.904, kb_relative_information_score: 932.2902, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.958, predictive_accuracy: 0.9557, prior_entropy: 0.9313, recall: 0.9557, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -3.0528, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 32.6936, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 16.0522, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8551, kappa: 0.6811, kb_relative_information_score: 896.5298, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8556, predictive_accuracy: 0.8547, prior_entropy: 0.9313, recall: 0.8547, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 7.4081, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 22.5749, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.545, kappa: -0.0032, kb_relative_information_score: -92.661, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5455, predictive_accuracy: 0.5446, prior_entropy: 0.9313, recall: 0.5446, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6749, root_relative_squared_error: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -42.1098, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -91.804, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 16.3874, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, kb_relative_information_score: 31.5025, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.2869, kappa: -0.0006, kb_relative_information_score: -840.2201, mean_absolute_error: 0.6229, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5456, predictive_accuracy: 0.3771, prior_entropy: 0.9313, recall: 0.3771, relative_absolute_error: 1.3748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7892, root_relative_squared_error: 1.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -77.1404, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -61.6211, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 197.4228, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7091, kappa: 0.3458, kb_relative_information_score: 448.5211, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7082, predictive_accuracy: 0.7182, prior_entropy: 0.9313, recall: 0.7182, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 9.0277, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9743, kappa: 0.9433, kb_relative_information_score: 1651.8179, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9743, predictive_accuracy: 0.9742, prior_entropy: 0.9313, recall: 0.9742, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6438, kappa: 0.1989, kb_relative_information_score: 246.4475, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6397, predictive_accuracy: 0.6548, prior_entropy: 0.9313, recall: 0.6548, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 14.3822, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.6733, kappa: 0.2657, kb_relative_information_score: 262.6486, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7087, predictive_accuracy: 0.712, prior_entropy: 0.9313, recall: 0.712, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9117,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs