OpenML
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 946.2256, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9921, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.6793, kappa: 0.6489, kb_relative_information_score: 590.4526, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6829, predictive_accuracy: 0.6808, prior_entropy: 3.4594, recall: 0.6808, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.1811, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2879, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.747, kappa: 0.7256, kb_relative_information_score: 701.9051, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7486, predictive_accuracy: 0.7505, prior_entropy: 3.4594, recall: 0.7505, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.18, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.7586, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.1008, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.288, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.3779, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2879, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.7228, kappa: 0.6956, kb_relative_information_score: 701.1248, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7252, predictive_accuracy: 0.7232, prior_entropy: 3.4594, recall: 0.7232, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.7858, kappa: 0.7667, kb_relative_information_score: 746.2197, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7865, predictive_accuracy: 0.7879, prior_entropy: 3.4594, recall: 0.7879, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.3578, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8502, kappa: 0.8356, kb_relative_information_score: 832.0775, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8511, predictive_accuracy: 0.8505, prior_entropy: 3.4594, recall: 0.8505, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.7757, kappa: 0.76, kb_relative_information_score: 405.7414, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7886, predictive_accuracy: 0.7818, prior_entropy: 3.4594, recall: 0.7818, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.3269, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.4999, kappa: 0.4633, kb_relative_information_score: 418.6594, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5152, predictive_accuracy: 0.5121, prior_entropy: 3.4594, recall: 0.5121, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.243, root_relative_squared_error: 0.8454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.3381, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.4177, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.3952, kappa: 0.3544, kb_relative_information_score: 338.9044, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4166, predictive_accuracy: 0.4131, prior_entropy: 3.4594, recall: 0.4131, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9116, kappa: 0.9033, kb_relative_information_score: 724.1185, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.913, predictive_accuracy: 0.9121, prior_entropy: 3.4594, recall: 0.9121, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.5551, kappa: 0.5156, kb_relative_information_score: 485.8072, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5562, predictive_accuracy: 0.5596, prior_entropy: 3.4594, recall: 0.5596, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8795, kappa: 0.8678, kb_relative_information_score: 689.9964, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8799, predictive_accuracy: 0.8798, prior_entropy: 3.4594, recall: 0.8798, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9093, kappa: 0.9011, kb_relative_information_score: 757.3464, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9103, predictive_accuracy: 0.9101, prior_entropy: 3.4594, recall: 0.9101, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 824.8809, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9342, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.126, root_relative_squared_error: 0.4382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8662, kappa: 0.8544, kb_relative_information_score: 824.6836, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8678, predictive_accuracy: 0.8677, prior_entropy: 3.4594, recall: 0.8677, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.8895, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.6785, kappa: 0.6489, kb_relative_information_score: 551.933, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6942, predictive_accuracy: 0.6808, prior_entropy: 3.4594, recall: 0.6808, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.3468, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.288, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.7517, kappa: 0.7289, kb_relative_information_score: 676.2702, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7543, predictive_accuracy: 0.7535, prior_entropy: 3.4594, recall: 0.7535, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, kappa: 0.3456, kb_relative_information_score: 117.6646, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.4051, prior_entropy: 3.4594, recall: 0.4051, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8935, kappa: 0.8844, kb_relative_information_score: 595.302, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8971, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, kappa: 0.0933, kb_relative_information_score: 53.5827, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.1758, prior_entropy: 3.4594, recall: 0.1758, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.4514, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8882, kappa: 0.8789, kb_relative_information_score: 499.337, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8957, predictive_accuracy: 0.8899, prior_entropy: 3.4594, recall: 0.8899, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9263, kappa: 0.9189, kb_relative_information_score: 792.974, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9268, predictive_accuracy: 0.9263, prior_entropy: 3.4594, recall: 0.9263, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.5492, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9503, kappa: 0.9456, kb_relative_information_score: 751.7388, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9512, predictive_accuracy: 0.9505, prior_entropy: 3.4594, recall: 0.9505, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8477, kappa: 0.8344, kb_relative_information_score: 542.1848, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8505, predictive_accuracy: 0.8495, prior_entropy: 3.4594, recall: 0.8495, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.7501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.8996, kappa: 0.89, kb_relative_information_score: 829.6358, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 3.4594, recall: 0.9, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.8226, kappa: 0.8067, kb_relative_information_score: 640.5904, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8243, predictive_accuracy: 0.8242, prior_entropy: 3.4594, recall: 0.8242, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 49.5383, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2892, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8799, kappa: 0.8689, kb_relative_information_score: 707.0164, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8813, predictive_accuracy: 0.8808, prior_entropy: 3.4594, recall: 0.8808, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 68.5421, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2929, root_relative_squared_error: 1.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.3221, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.7654, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.0948, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2882, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.783, kappa: 0.7633, kb_relative_information_score: 685.3454, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7853, predictive_accuracy: 0.7848, prior_entropy: 3.4594, recall: 0.7848, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8654, kappa: 0.8533, kb_relative_information_score: 708.0388, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8673, predictive_accuracy: 0.8667, prior_entropy: 3.4594, recall: 0.8667, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.8656, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.7411, kappa: 0.7189, kb_relative_information_score: 634.5291, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7432, predictive_accuracy: 0.7444, prior_entropy: 3.4594, recall: 0.7444, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.4586, kappa: 0.4178, kb_relative_information_score: 379.0654, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4771, predictive_accuracy: 0.4707, prior_entropy: 3.4594, recall: 0.4707, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.5251, kappa: 0.4822, kb_relative_information_score: 372.1417, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5306, predictive_accuracy: 0.5293, prior_entropy: 3.4594, recall: 0.5293, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, kappa: 0.0833, kb_relative_information_score: 37.5185, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.1667, prior_entropy: 3.4594, recall: 0.1667, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.286, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8922, kappa: 0.8822, kb_relative_information_score: 748.9447, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8937, predictive_accuracy: 0.8929, prior_entropy: 3.4594, recall: 0.8929, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2738, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.7004, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.8718, kappa: 0.86, kb_relative_information_score: 762.9603, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8722, predictive_accuracy: 0.8727, prior_entropy: 3.4594, recall: 0.8727, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, kappa: 0.2611, kb_relative_information_score: 232.838, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.3283, prior_entropy: 3.4594, recall: 0.3283, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7739, kappa: 0.7556, kb_relative_information_score: 524.9567, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7773, predictive_accuracy: 0.7778, prior_entropy: 3.4594, recall: 0.7778, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.0753, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.176, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.7658, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2888, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8187, kappa: 0.8044, kb_relative_information_score: 525.8223, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8225, predictive_accuracy: 0.8222, prior_entropy: 3.4594, recall: 0.8222, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.7601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7108, kappa: 0.6889, kb_relative_information_score: 581.938, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.715, predictive_accuracy: 0.7172, prior_entropy: 3.4594, recall: 0.7172, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.1463, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.4791, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.288, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.608, kappa: 0.5733, kb_relative_information_score: 555.9879, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6133, predictive_accuracy: 0.6121, prior_entropy: 3.4594, recall: 0.6121, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.3719, kappa: 0.3467, kb_relative_information_score: 327.3716, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3981, predictive_accuracy: 0.4061, prior_entropy: 3.4594, recall: 0.4061, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8114, kappa: 0.7956, kb_relative_information_score: 717.2102, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8138, predictive_accuracy: 0.8141, prior_entropy: 3.4594, recall: 0.8141, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7559, kappa: 0.7389, kb_relative_information_score: 582.1108, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7591, predictive_accuracy: 0.7626, prior_entropy: 3.4594, recall: 0.7626, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7655, kappa: 0.7489, kb_relative_information_score: 539.1267, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7698, predictive_accuracy: 0.7717, prior_entropy: 3.4594, recall: 0.7717, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8298, kappa: 0.8167, kb_relative_information_score: 532.223, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8373, predictive_accuracy: 0.8333, prior_entropy: 3.4594, recall: 0.8333, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9057, kappa: 0.8967, kb_relative_information_score: 736.6517, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9061, predictive_accuracy: 0.9061, prior_entropy: 3.4594, recall: 0.9061, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9165, kappa: 0.9089, kb_relative_information_score: 745.9867, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9177, predictive_accuracy: 0.9172, prior_entropy: 3.4594, recall: 0.9172, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9313, kappa: 0.9244, kb_relative_information_score: 827.204, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9321, predictive_accuracy: 0.9313, prior_entropy: 3.4594, recall: 0.9313, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.6899, kappa: 0.6622, kb_relative_information_score: 649.7778, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6921, predictive_accuracy: 0.6929, prior_entropy: 3.4594, recall: 0.6929, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.6834, kappa: 0.6544, kb_relative_information_score: 597.2697, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6897, predictive_accuracy: 0.6859, prior_entropy: 3.4594, recall: 0.6859, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.206, root_relative_squared_error: 0.7167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9595, kappa: 0.9556, kb_relative_information_score: 834.4027, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 3.4594, recall: 0.9596, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.4201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9077, kappa: 0.8989, kb_relative_information_score: 738.0465, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9083, predictive_accuracy: 0.9081, prior_entropy: 3.4594, recall: 0.9081, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8897, kappa: 0.88, kb_relative_information_score: 680.9937, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8908, predictive_accuracy: 0.8909, prior_entropy: 3.4594, recall: 0.8909, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.178, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.6795, kappa: 0.6533, kb_relative_information_score: 587.5178, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6816, predictive_accuracy: 0.6848, prior_entropy: 3.4594, recall: 0.6848, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9004, kappa: 0.8911, kb_relative_information_score: 709.3915, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9021, predictive_accuracy: 0.901, prior_entropy: 3.4594, recall: 0.901, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8113, kappa: 0.7933, kb_relative_information_score: 770.87, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8128, predictive_accuracy: 0.8121, prior_entropy: 3.4594, recall: 0.8121, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.7539, kappa: 0.7378, kb_relative_information_score: 589.4471, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7563, predictive_accuracy: 0.7616, prior_entropy: 3.4594, recall: 0.7616, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.7446, kappa: 0.7233, kb_relative_information_score: 621.3397, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7468, predictive_accuracy: 0.7485, prior_entropy: 3.4594, recall: 0.7485, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.8438, kappa: 0.83, kb_relative_information_score: 730.3456, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8445, predictive_accuracy: 0.8455, prior_entropy: 3.4594, recall: 0.8455, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8253, kappa: 0.81, kb_relative_information_score: 633.7101, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8263, predictive_accuracy: 0.8273, prior_entropy: 3.4594, recall: 0.8273, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.7981, kappa: 0.7789, kb_relative_information_score: 757.1235, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7993, predictive_accuracy: 0.799, prior_entropy: 3.4594, recall: 0.799, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.7992, kappa: 0.7822, kb_relative_information_score: 690.3364, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8013, predictive_accuracy: 0.802, prior_entropy: 3.4594, recall: 0.802, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9095, kappa: 0.9011, kb_relative_information_score: 707.2901, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9111, predictive_accuracy: 0.9101, prior_entropy: 3.4594, recall: 0.9101, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.8787, kappa: 0.8667, kb_relative_information_score: 838.5193, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8796, predictive_accuracy: 0.8788, prior_entropy: 3.4594, recall: 0.8788, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8407, kappa: 0.8278, kb_relative_information_score: 475.2384, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8463, predictive_accuracy: 0.8434, prior_entropy: 3.4594, recall: 0.8434, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8215, kappa: 0.8056, kb_relative_information_score: 722.4602, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8246, predictive_accuracy: 0.8232, prior_entropy: 3.4594, recall: 0.8232, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.6772, kappa: 0.6489, kb_relative_information_score: 640.5382, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6801, predictive_accuracy: 0.6808, prior_entropy: 3.4594, recall: 0.6808, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7386, kappa: 0.7178, kb_relative_information_score: 644.9588, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7411, predictive_accuracy: 0.7434, prior_entropy: 3.4594, recall: 0.7434, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.7573, kappa: 0.7367, kb_relative_information_score: 654.127, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7589, predictive_accuracy: 0.7606, prior_entropy: 3.4594, recall: 0.7606, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9433, kappa: 0.9378, kb_relative_information_score: 818.801, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9441, predictive_accuracy: 0.9434, prior_entropy: 3.4594, recall: 0.9434, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.4409,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs