Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 105237 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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105237 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8896, kappa: 0.4667, kb_relative_information_score: 360.291, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8867, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8873, kappa: 0.4549, kb_relative_information_score: 343.7247, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8945, kappa: 0.4987, kb_relative_information_score: 480.0043, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8928, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8908, kappa: 0.4775, kb_relative_information_score: 407.6606, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8843, kappa: 0.4458, kb_relative_information_score: 367.1586, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8817, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.8687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8889, kappa: 0.461, kb_relative_information_score: 335.8869, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8858, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.8878, kappa: 0.4569, kb_relative_information_score: 432.6399, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8847, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8914, kappa: 0.4859, kb_relative_information_score: 357.5002, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.89, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8849, kappa: 0.4514, kb_relative_information_score: 363.1056, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8834, kappa: 0.441, kb_relative_information_score: 400.0072, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8807, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8866, kappa: 0.4608, kb_relative_information_score: 342.4095, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8847, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.886, kappa: 0.4553, kb_relative_information_score: 417.8132, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8837, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8919, kappa: 0.4816, kb_relative_information_score: 424.58, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8895, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8908, kappa: 0.4775, kb_relative_information_score: 407.0145, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8837, kappa: 0.4401, kb_relative_information_score: 356.8189, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8807, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8861, kappa: 0.4471, kb_relative_information_score: 371.72, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8828, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8858, kappa: 0.4561, kb_relative_information_score: 368.02, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8837, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.8834, kappa: 0.4322, kb_relative_information_score: 354.1258, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8798, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8858, kappa: 0.448, kb_relative_information_score: 335.7631, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8874, kappa: 0.462, kb_relative_information_score: 394.3038, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8851, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8902, kappa: 0.4755, kb_relative_information_score: 389.7139, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.888, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8846, kappa: 0.4486, kb_relative_information_score: 371.0535, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8822, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8887, kappa: 0.4618, kb_relative_information_score: 339.8587, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8857, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8805, kappa: 0.4182, kb_relative_information_score: 327.0704, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8767, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8819, kappa: 0.4303, kb_relative_information_score: 361.8656, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8787, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8879, kappa: 0.4605, kb_relative_information_score: 380.989, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8851, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.897, kappa: 0.5006, kb_relative_information_score: 447.0153, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8943, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.8914, kappa: 0.4859, kb_relative_information_score: 356.3981, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.89, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8833, kappa: 0.4282, kb_relative_information_score: 349.1547, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8794, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8828, kappa: 0.4352, kb_relative_information_score: 349.0708, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8797, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8904, kappa: 0.468, kb_relative_information_score: 342.1755, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8873, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8793, kappa: 0.41, kb_relative_information_score: 371.6962, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8752, predictive_accuracy: 0.8855, prior_entropy: 0.5368, recall: 0.8855, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.8857, kappa: 0.4525, kb_relative_information_score: 361.0179, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8832, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8897, kappa: 0.4735, kb_relative_information_score: 332.9617, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8875, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8867, kappa: 0.4529, kb_relative_information_score: 402.2253, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8837, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8896, kappa: 0.4667, kb_relative_information_score: 361.4677, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8867, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.27, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.884, kappa: 0.4429, kb_relative_information_score: 396.5615, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8812, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8851, kappa: 0.4469, kb_relative_information_score: 401.8002, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8822, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8877, kappa: 0.4613, kb_relative_information_score: 398.8986, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8851, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8873, kappa: 0.4549, kb_relative_information_score: 341.4951, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.8834, kappa: 0.4271, kb_relative_information_score: 342.3302, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8795, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.8874, kappa: 0.4503, kb_relative_information_score: 385.9798, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8839, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8859, kappa: 0.4517, kb_relative_information_score: 391.9397, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8832, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8805, kappa: 0.4182, kb_relative_information_score: 327.2815, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8767, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.887, kappa: 0.4557, kb_relative_information_score: 350.247, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.8834, kappa: 0.4322, kb_relative_information_score: 417.7646, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8798, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.8902, kappa: 0.4755, kb_relative_information_score: 476.8284, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.888, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8939, kappa: 0.4936, kb_relative_information_score: 473.7693, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8919, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8896, kappa: 0.4667, kb_relative_information_score: 465.6094, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8867, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8874, kappa: 0.462, kb_relative_information_score: 392.8244, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8851, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.8547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8841, kappa: 0.4466, kb_relative_information_score: 352.2257, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8818, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8846, kappa: 0.4486, kb_relative_information_score: 378.3285, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8822, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.284, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.884, kappa: 0.4429, kb_relative_information_score: 386.5119, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8812, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8961, kappa: 0.502, kb_relative_information_score: 451.8698, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8939, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.9074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8864, kappa: 0.4615, kb_relative_information_score: 337.9351, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8848, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8938, kappa: 0.4873, kb_relative_information_score: 372.2746, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8911, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8842, kappa: 0.442, kb_relative_information_score: 398.0562, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8812, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8884, kappa: 0.459, kb_relative_information_score: 330.7511, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8853, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.886, kappa: 0.4553, kb_relative_information_score: 411.8289, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8837, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8856, kappa: 0.4489, kb_relative_information_score: 407.065, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8893, kappa: 0.4674, kb_relative_information_score: 386.1348, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8866, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8851, kappa: 0.4469, kb_relative_information_score: 379.9356, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8822, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8883, kappa: 0.4734, kb_relative_information_score: 349.9449, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8872, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.8936, kappa: 0.491, kb_relative_information_score: 517.368, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8914, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8861, kappa: 0.4588, kb_relative_information_score: 378.5023, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8882, prior_entropy: 0.5368, recall: 0.8882, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.287, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8875, kappa: 0.4541, kb_relative_information_score: 381.1094, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8843, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.291, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8873, kappa: 0.4549, kb_relative_information_score: 347.317, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8858, kappa: 0.448, kb_relative_information_score: 333.8611, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8879, kappa: 0.4605, kb_relative_information_score: 372.0327, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8851, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.8927, kappa: 0.4984, kb_relative_information_score: 533.7795, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8925, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8901, kappa: 0.4687, kb_relative_information_score: 341.9876, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8872, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.8944, kappa: 0.4926, kb_relative_information_score: 483.0857, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.892, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8904, kappa: 0.468, kb_relative_information_score: 341.6456, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8873, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8888, kappa: 0.4653, kb_relative_information_score: 389.5907, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.8877, kappa: 0.4648, kb_relative_information_score: 339.4526, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8856, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.8747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8858, kappa: 0.448, kb_relative_information_score: 325.2293, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.8947, kappa: 0.4982, kb_relative_information_score: 458.7894, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8928, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.8936, kappa: 0.491, kb_relative_information_score: 474.667, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8914, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8835, kappa: 0.4447, kb_relative_information_score: 371.717, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8813, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.888, kappa: 0.464, kb_relative_information_score: 405.9686, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8856, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8949, kappa: 0.485, kb_relative_information_score: 480.6352, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8919, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.8827, kappa: 0.4262, kb_relative_information_score: 345.3535, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8789, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.8947, kappa: 0.4889, kb_relative_information_score: 499.9679, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8918, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8874, kappa: 0.462, kb_relative_information_score: 384.2231, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8851, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.8869, kappa: 0.4635, kb_relative_information_score: 473.6802, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8852, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.8978, kappa: 0.5083, kb_relative_information_score: 520.6559, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8955, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.8891, kappa: 0.4715, kb_relative_information_score: 329.3518, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8873, kappa: 0.4549, kb_relative_information_score: 348.0535, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.8888, kappa: 0.4653, kb_relative_information_score: 453.936, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8858, kappa: 0.448, kb_relative_information_score: 339.9835, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.8859, kappa: 0.4517, kb_relative_information_score: 409.7626, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8832, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.287, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8908, kappa: 0.4775, kb_relative_information_score: 336.5943, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8899, kappa: 0.4694, kb_relative_information_score: 467.1642, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8858, kappa: 0.448, kb_relative_information_score: 338.3059, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8827, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8916, kappa: 0.479, kb_relative_information_score: 349.6964, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8891, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8872, kappa: 0.4628, kb_relative_information_score: 345.5826, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8852, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.8868, kappa: 0.4483, kb_relative_information_score: 387.9519, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8834, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8893, kappa: 0.4639, kb_relative_information_score: 345.087, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8862, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.8436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8843, kappa: 0.4458, kb_relative_information_score: 363.5546, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8817, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8873, kappa: 0.4549, kb_relative_information_score: 341.457, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.8352,

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