Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 81604 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 1.4178, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.779, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -3.4832, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.8408, kappa: 0.6798, kb_relative_information_score: 477.4543, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8442, predictive_accuracy: 0.8404, prior_entropy: 0.9912, recall: 0.8404, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -10.173, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -4.9474, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 12.6559, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 8.3436, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -6.5536, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 4.9171, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -10.1137, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9527, kappa: 0.9042, kb_relative_information_score: 1028.1767, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9528, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8409, kappa: 0.6774, kb_relative_information_score: 329.1353, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8409, predictive_accuracy: 0.8411, prior_entropy: 0.9912, recall: 0.8411, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -7.1916, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9417, kappa: 0.8821, kb_relative_information_score: 1048.4575, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 33.8221, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8464, kappa: 0.6897, kb_relative_information_score: 566.024, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8471, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.3608, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 9.5072, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 10.1496, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.2726, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 1.6553, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.949, kappa: 0.8968, kb_relative_information_score: 1147.8758, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4192, kappa: 0.0019, kb_relative_information_score: -25.2866, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5079, predictive_accuracy: 0.4679, prior_entropy: 0.9912, recall: 0.4679, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 1073.6137, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8684, kappa: 0.7345, kb_relative_information_score: 731.8922, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8699, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9534, kappa: 0.9056, kb_relative_information_score: 1136.9165, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -1.7001, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8879, kappa: 0.7734, kb_relative_information_score: 784.7684, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8884, predictive_accuracy: 0.8878, prior_entropy: 0.9912, recall: 0.8878, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -1.0015, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -46.6862, mean_absolute_error: 0.5054, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.4446, prior_entropy: 0.9912, recall: 0.4446, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8904, kappa: 0.7776, kb_relative_information_score: 658.8119, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8908, predictive_accuracy: 0.8907, prior_entropy: 0.9912, recall: 0.8907, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 13.0739, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -2.0692, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 1.5207, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9534, kappa: 0.9057, kb_relative_information_score: 1068.4956, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9535, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9176, kappa: 0.8331, kb_relative_information_score: 943.1794, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9176, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9526, kappa: 0.9041, kb_relative_information_score: 1017.6434, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -7.7225, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 3.0416, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.845, kappa: 0.6871, kb_relative_information_score: 284.601, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8461, predictive_accuracy: 0.8448, prior_entropy: 0.9912, recall: 0.8448, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, kb_relative_information_score: 65.9047, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8478, kappa: 0.692, kb_relative_information_score: 725.1971, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.848, predictive_accuracy: 0.8477, prior_entropy: 0.9912, recall: 0.8477, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.2613, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -1.4073, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8445, kappa: 0.687, kb_relative_information_score: 574.7975, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8477, predictive_accuracy: 0.844, prior_entropy: 0.9912, recall: 0.844, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -2.7221, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9432, kappa: 0.8852, kb_relative_information_score: 1063.9547, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9435, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1156.4204, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 71.2423, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8921, kappa: 0.7809, kb_relative_information_score: 399.2773, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8948, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 22.9308, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 18.3254, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9062, kappa: 0.8108, kb_relative_information_score: 1028.8503, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9079, predictive_accuracy: 0.906, prior_entropy: 0.9912, recall: 0.906, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -4.3705, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -8.6542, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 6.8806, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -13.8758, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 12.5404, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9534, kappa: 0.9058, kb_relative_information_score: 991.6473, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9536, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8989, kappa: 0.7947, kb_relative_information_score: 720.9738, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9006, predictive_accuracy: 0.8994, prior_entropy: 0.9912, recall: 0.8994, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -179.295, mean_absolute_error: 0.5554, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.4446, prior_entropy: 0.9912, recall: 0.4446, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7452, root_relative_squared_error: 1.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 22.7813, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -15.608, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.8056, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.845, kappa: 0.6868, kb_relative_information_score: 196.5421, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8457, predictive_accuracy: 0.8448, prior_entropy: 0.9912, recall: 0.8448, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8608, kappa: 0.7182, kb_relative_information_score: 594.934, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8608, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.6921, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -155.3576, mean_absolute_error: 0.546, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.4446, prior_entropy: 0.9912, recall: 0.4446, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7055, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 9.0147, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4859, kappa: -0.0022, kb_relative_information_score: -25.8169, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5046, predictive_accuracy: 0.5321, prior_entropy: 0.9912, recall: 0.5321, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 13.0862, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.884, kappa: 0.765, kb_relative_information_score: 806.3208, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.884, predictive_accuracy: 0.8841, prior_entropy: 0.9912, recall: 0.8841, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -15.5654, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8467, kappa: 0.6918, kb_relative_information_score: 619.2443, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8507, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.6025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 0.1222, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -11.5851, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.905, kappa: 0.8074, kb_relative_information_score: 911.9823, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9054, predictive_accuracy: 0.9052, prior_entropy: 0.9912, recall: 0.9052, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9287, kappa: 0.8562, kb_relative_information_score: 1095.8585, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9302, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -4.5116, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8828, kappa: 0.7631, kb_relative_information_score: 835.695, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8833, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8397, kappa: 0.6755, kb_relative_information_score: 437.8187, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8398, predictive_accuracy: 0.8397, prior_entropy: 0.9912, recall: 0.8397, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -8.4001, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -1.0729, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.1913, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9475, kappa: 0.8937, kb_relative_information_score: 1095.4053, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 5.3718, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8366, kappa: 0.6688, kb_relative_information_score: 680.4244, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8365, predictive_accuracy: 0.8367, prior_entropy: 0.9912, recall: 0.8367, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 13.7234, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -16.9375, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -5.6525, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -14.2806, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9011, kappa: 0.8009, kb_relative_information_score: 1070.6524, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9038, predictive_accuracy: 0.9009, prior_entropy: 0.9912, recall: 0.9009, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -9.394, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 10.0337, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4192, kappa: 0.0019, kb_relative_information_score: -28.5777, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5079, predictive_accuracy: 0.4679, prior_entropy: 0.9912, recall: 0.4679, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 2.8631, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 12.724, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -9.5257, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 3.7727, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,

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