OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 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: 0.499, kb_relative_information_score: 2.1039, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9988, 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: 0.9758, f_measure: 0.9102, kappa: 0.8178, kb_relative_information_score: 724.0143, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9105, predictive_accuracy: 0.9103, prior_entropy: 0.9912, recall: 0.9103, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.8314, kappa: 0.6608, kb_relative_information_score: 217.9573, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8349, predictive_accuracy: 0.8309, prior_entropy: 0.9912, recall: 0.8309, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.5344, kappa: 0.1686, kb_relative_information_score: 123.4519, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7712, predictive_accuracy: 0.6239, prior_entropy: 0.9912, recall: 0.6239, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, kb_relative_information_score: 0.0631, mean_absolute_error: 0.4939, 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, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -3.225, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0015, 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: 0.501, kb_relative_information_score: 2.4913, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9986, 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: 0.9654, f_measure: 0.8834, kappa: 0.7639, kb_relative_information_score: 383.3925, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8834, predictive_accuracy: 0.8834, prior_entropy: 0.9912, recall: 0.8834, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -21.0778, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -26.7041, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.4446, prior_entropy: 0.9912, recall: 0.4446, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8504, kappa: 0.6968, kb_relative_information_score: 157.8408, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8647, predictive_accuracy: 0.8535, prior_entropy: 0.9912, recall: 0.8535, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 2.2196, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9987, 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: -1.0316, 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: 0.9649, kb_relative_information_score: 76.4649, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8921, kappa: 0.7809, kb_relative_information_score: 390.7151, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.895, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, kb_relative_information_score: 2.3056, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, kb_relative_information_score: 10.285, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9526, kappa: 0.904, kb_relative_information_score: 931.8115, mean_absolute_error: 0.1836, 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: 0.3718, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9007, kappa: 0.7982, kb_relative_information_score: 621.9333, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9056, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9452, kappa: 0.8889, kb_relative_information_score: 947.1725, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9457, predictive_accuracy: 0.9453, prior_entropy: 0.9912, recall: 0.9453, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, kb_relative_information_score: 4.2477, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9976, 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: 0.786, f_measure: 0.4859, kappa: -0.0022, kb_relative_information_score: -21.074, mean_absolute_error: 0.4988, 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: 1.01, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7562, kappa: 0.5104, kb_relative_information_score: 129.2563, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7891, predictive_accuracy: 0.7668, prior_entropy: 0.9912, recall: 0.7668, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -2.1428, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.001, 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: 0.5, kb_relative_information_score: -85.3284, mean_absolute_error: 0.5171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.4446, prior_entropy: 0.9912, recall: 0.4446, relative_absolute_error: 1.0469, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8503, kappa: 0.6983, kb_relative_information_score: 621.4697, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8527, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 5.27, 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: 0.997, 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: 0.5, kb_relative_information_score: 10.1968, 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: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -9.7155, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0045, 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: 0.5, kb_relative_information_score: 25.2934, 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: 0.9926, f_measure: 0.9548, kappa: 0.9085, kb_relative_information_score: 1096.6252, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, kb_relative_information_score: 3.1524, 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: 0.9982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, kb_relative_information_score: 22.199, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -6.047, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0028, 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: 0.91, f_measure: 0.8452, kappa: 0.6893, kb_relative_information_score: 771.493, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8502, predictive_accuracy: 0.8448, prior_entropy: 0.9912, recall: 0.8448, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, kb_relative_information_score: 3.8104, 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: 0.496, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8517, kappa: 0.7012, kb_relative_information_score: 505.3082, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.854, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9241, kappa: 0.8462, kb_relative_information_score: 944.0422, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.189, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9911, 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: 6.1549, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 1.4555, 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: 0.9704, kb_relative_information_score: 28.1075, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, kb_relative_information_score: 16.5257, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, kb_relative_information_score: 62.4855, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, kb_relative_information_score: 11.1806, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.885, kappa: 0.7677, kb_relative_information_score: 780.9459, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8858, predictive_accuracy: 0.8848, prior_entropy: 0.9912, recall: 0.8848, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.782, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9996, 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: -0.4498, 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: 1.0002, 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: 0.936, f_measure: 0.863, kappa: 0.7227, kb_relative_information_score: 609.383, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -2.5898, 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: 0.9088, kb_relative_information_score: 10.9112, 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: 0.9947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 14.6521, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 2.8559, 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: -0.4234, 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: 1.0002, 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: -5.3626, 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: 1.0024, 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: -4.245, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0019, 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: 0.8116, kb_relative_information_score: -7.9337, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, kb_relative_information_score: 10.7227, 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: 0.9947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 11.8043, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9932, 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: 0.9815, f_measure: 0.9066, kappa: 0.8102, kb_relative_information_score: 366.885, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9114, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9731, kappa: 0.9456, kb_relative_information_score: 1218.0356, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9735, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -14.9487, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.2024, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, 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: 0.9487, f_measure: 0.8814, kappa: 0.7605, kb_relative_information_score: 697.0097, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8823, predictive_accuracy: 0.8812, prior_entropy: 0.9912, recall: 0.8812, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 2.5115, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9986, 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: 0.9448, f_measure: 0.8778, kappa: 0.753, kb_relative_information_score: 760.3478, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8785, predictive_accuracy: 0.8776, prior_entropy: 0.9912, recall: 0.8776, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, kb_relative_information_score: 59.0906, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.5828, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9997, 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: 0.9204, f_measure: 0.8597, kappa: 0.7171, kb_relative_information_score: 339.3976, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8616, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, kb_relative_information_score: 13.827, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 8.1269, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, kb_relative_information_score: 33.8073, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -2.5299, mean_absolute_error: 0.4944, 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: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, kb_relative_information_score: 21.9384, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 6.7739, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9961, 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: 0.9711, kb_relative_information_score: 23.7116, 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: 0.4902, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0.6353, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9995, 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: 0.501, kb_relative_information_score: -5.0678, 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: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.8582, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -0.7274, 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: 0.9428, f_measure: 0.8464, kappa: 0.6883, kb_relative_information_score: 811.3387, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.847, predictive_accuracy: 0.8469, prior_entropy: 0.9912, recall: 0.8469, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -5.054, 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: -3.6286, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7919, kappa: 0.5774, kb_relative_information_score: -22.375, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7946, predictive_accuracy: 0.7937, prior_entropy: 0.9912, recall: 0.7937, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, kb_relative_information_score: 2.094, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -4.1206, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0019, 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: 0.9142, kb_relative_information_score: 62.0506, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 7.4211, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9957, 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: 0.9749, f_measure: 0.9121, kappa: 0.8216, kb_relative_information_score: 613.1638, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9138, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 0.7318, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9996, 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: 0.8547, kappa: 0.7078, kb_relative_information_score: 732.4771, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8586, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, kb_relative_information_score: 57.9225, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -2.5391, mean_absolute_error: 0.4944, 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: 0.501, kb_relative_information_score: -2.2892, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.001, 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: 0.9134, kb_relative_information_score: 17.7455, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 3.8305, 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: 0.9978, 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: -5.643, 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: 0.9845, kb_relative_information_score: 14.3176, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8767, kappa: 0.75, kb_relative_information_score: 349.5937, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8767, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 0.1747, 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,

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
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