OpenML
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16669 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_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9813, kappa: 0.8331, kb_relative_information_score: 2578.6275, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9812, kappa: 0.8302, kb_relative_information_score: 2370.8541, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3333, recall: 0.982, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9799, kappa: 0.8189, kb_relative_information_score: 2348.3462, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3333, recall: 0.9806, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.988, kappa: 0.8925, kb_relative_information_score: 2793.413, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9881, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9857, kappa: 0.8755, kb_relative_information_score: 2989.0732, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9804, kappa: 0.8255, kb_relative_information_score: 2266.8748, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9803, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9855, kappa: 0.8702, kb_relative_information_score: 2706.4368, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9856, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9892, kappa: 0.9051, kb_relative_information_score: 2954.3313, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9892, predictive_accuracy: 0.9894, prior_entropy: 0.3333, recall: 0.9894, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.3519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9809, kappa: 0.8265, kb_relative_information_score: 2326.6825, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.4811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9824, kappa: 0.8441, kb_relative_information_score: 2403.522, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9643, kappa: 0.6583, kb_relative_information_score: 1050.145, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9666, predictive_accuracy: 0.9682, prior_entropy: 0.3333, recall: 0.9682, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.987, kappa: 0.8847, kb_relative_information_score: 2761.3785, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9864, kappa: 0.8793, kb_relative_information_score: 2753.0424, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.095, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9835, kappa: 0.8531, kb_relative_information_score: 2550.9075, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9834, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9815, kappa: 0.8359, kb_relative_information_score: 2452.525, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9814, predictive_accuracy: 0.982, prior_entropy: 0.3333, recall: 0.982, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9901, kappa: 0.9135, kb_relative_information_score: 2954.4232, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3333, recall: 0.9902, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.3599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9907, kappa: 0.9185, kb_relative_information_score: 3106.8644, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9807, kappa: 0.8259, kb_relative_information_score: 2356.3275, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9862, kappa: 0.8762, kb_relative_information_score: 2738.5969, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9812, kappa: 0.8317, kb_relative_information_score: 2282.0501, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9817, prior_entropy: 0.3333, recall: 0.9817, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9791, kappa: 0.8126, kb_relative_information_score: 1920.1793, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.979, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9824, kappa: 0.8441, kb_relative_information_score: 2375.7303, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, kb_relative_information_score: -196.2702, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9269, kappa: 0.2189, kb_relative_information_score: 688.7962, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9496, predictive_accuracy: 0.9467, prior_entropy: 0.3333, recall: 0.9467, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9804, kappa: 0.8223, kb_relative_information_score: 1857.099, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9827, kappa: 0.8469, kb_relative_information_score: 2389.332, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9826, predictive_accuracy: 0.983, prior_entropy: 0.3333, recall: 0.983, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9766, kappa: 0.7874, kb_relative_information_score: 1590.1335, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9767, predictive_accuracy: 0.9777, prior_entropy: 0.3333, recall: 0.9777, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9838, kappa: 0.8585, kb_relative_information_score: 2842.1109, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, kb_relative_information_score: 148.5941, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, kb_relative_information_score: -354.9361, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9847, kappa: 0.8637, kb_relative_information_score: 2576.4546, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9847, predictive_accuracy: 0.9852, prior_entropy: 0.3333, recall: 0.9852, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.4329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9782, kappa: 0.804, kb_relative_information_score: 1731.9347, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9782, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.13, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.983, kappa: 0.8496, kb_relative_information_score: 2464.5306, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9829, predictive_accuracy: 0.9833, prior_entropy: 0.3333, recall: 0.9833, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9862, kappa: 0.8806, kb_relative_information_score: 2968.6899, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 0.3333, recall: 0.9862, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.098, root_relative_squared_error: 0.4086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9784, kappa: 0.8052, kb_relative_information_score: 1764.3348, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9784, predictive_accuracy: 0.9793, prior_entropy: 0.3333, recall: 0.9793, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.133, root_relative_squared_error: 0.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9818, kappa: 0.838, kb_relative_information_score: 2356.6214, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9842, kappa: 0.8588, kb_relative_information_score: 2522.6449, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.4376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9863, kappa: 0.8778, kb_relative_information_score: 2627.1296, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.097, root_relative_squared_error: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9826, kappa: 0.8456, kb_relative_information_score: 2372.8952, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9825, predictive_accuracy: 0.983, prior_entropy: 0.3333, recall: 0.983, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9858, kappa: 0.8729, kb_relative_information_score: 2676.1498, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9859, predictive_accuracy: 0.9862, prior_entropy: 0.3333, recall: 0.9862, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.4008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9763, kappa: 0.7844, kb_relative_information_score: 1616.4753, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9764, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.136, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9814, kappa: 0.8331, kb_relative_information_score: 2332.8702, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3333, recall: 0.982, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.114, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9806, kappa: 0.8268, kb_relative_information_score: 2182.3024, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9791, kappa: 0.8126, kb_relative_information_score: 2092.3496, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.979, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9809, kappa: 0.8289, kb_relative_information_score: 2117.9347, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9848, kappa: 0.8678, kb_relative_information_score: 2984.4662, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9848, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9871, kappa: 0.8866, kb_relative_information_score: 2855.488, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.983, kappa: 0.8489, kb_relative_information_score: 2537.894, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3333, recall: 0.9833, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9815, kappa: 0.833, kb_relative_information_score: 2383.0209, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3333, recall: 0.9822, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.114, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9809, kappa: 0.8289, kb_relative_information_score: 2285.123, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9842, kappa: 0.8582, kb_relative_information_score: 2423.7694, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9835, kappa: 0.8531, kb_relative_information_score: 2559.3087, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9834, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9826, kappa: 0.8456, kb_relative_information_score: 2399.154, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9825, predictive_accuracy: 0.983, prior_entropy: 0.3333, recall: 0.983, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9815, kappa: 0.8345, kb_relative_information_score: 2297.9322, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9814, predictive_accuracy: 0.982, prior_entropy: 0.3333, recall: 0.982, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9776, kappa: 0.7972, kb_relative_information_score: 1695.0056, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.3333, recall: 0.9785, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.5684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9795, kappa: 0.8163, kb_relative_information_score: 2092.5265, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9794, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9849, kappa: 0.8647, kb_relative_information_score: 2590.4081, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.985, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.4302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9807, kappa: 0.8252, kb_relative_information_score: 2278.9063, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9822, kappa: 0.8421, kb_relative_information_score: 2648.903, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, kb_relative_information_score: 210.778, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9773, kappa: 0.7943, kb_relative_information_score: 1569.5259, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9773, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9899, kappa: 0.9124, kb_relative_information_score: 3095.5735, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9884, kappa: 0.8982, kb_relative_information_score: 2865.9031, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3333, recall: 0.9886, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.987, kappa: 0.8863, kb_relative_information_score: 2877.5772, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.3333, recall: 0.987, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9835, kappa: 0.8537, kb_relative_information_score: 2533.3198, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9834, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.4396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9872, kappa: 0.8859, kb_relative_information_score: 2746.0082, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9873, predictive_accuracy: 0.9875, prior_entropy: 0.3333, recall: 0.9875, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9882, kappa: 0.896, kb_relative_information_score: 2946.2832, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9881, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9906, kappa: 0.9178, kb_relative_information_score: 2967.0141, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 2822.1739, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.3751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9807, kappa: 0.8252, kb_relative_information_score: 2308.3613, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.4831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9846, kappa: 0.8627, kb_relative_information_score: 2597.4891, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.4237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9804, kappa: 0.823, kb_relative_information_score: 2306.5081, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.4805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9806, kappa: 0.8261, kb_relative_information_score: 2305.0174, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9828, kappa: 0.847, kb_relative_information_score: 2414.7516, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3333, recall: 0.9833, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9806, kappa: 0.8261, kb_relative_information_score: 2243.9004, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9791, kappa: 0.811, kb_relative_information_score: 1877.3283, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.979, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9609, kappa: 0.6204, kb_relative_information_score: 979.537, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9642, predictive_accuracy: 0.9658, prior_entropy: 0.3333, recall: 0.9658, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.969, kappa: 0.7208, kb_relative_information_score: 2366.2375, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9685, predictive_accuracy: 0.97, prior_entropy: 0.3333, recall: 0.97, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.947, kappa: 0.4577, kb_relative_information_score: 1785.8442, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9588, predictive_accuracy: 0.9576, prior_entropy: 0.3333, recall: 0.9576, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.206, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.9675, kappa: 0.7116, kb_relative_information_score: 2279.7959, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.967, predictive_accuracy: 0.9682, prior_entropy: 0.3333, recall: 0.9682, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.7439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.9389, kappa: 0.3792, kb_relative_information_score: 1452.4267, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9432, predictive_accuracy: 0.9504, prior_entropy: 0.3333, recall: 0.9504, relative_absolute_error: 0.4304, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.9691, kappa: 0.7232, kb_relative_information_score: 2366.2375, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9686, predictive_accuracy: 0.97, prior_entropy: 0.3333, recall: 0.97, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.9687, kappa: 0.7252, kb_relative_information_score: 2316.8423, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9684, predictive_accuracy: 0.969, prior_entropy: 0.3333, recall: 0.969, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.9677, kappa: 0.7022, kb_relative_information_score: 2353.8887, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9677, predictive_accuracy: 0.9698, prior_entropy: 0.3333, recall: 0.9698, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.966, kappa: 0.6841, kb_relative_information_score: 2292.1447, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9661, predictive_accuracy: 0.9685, prior_entropy: 0.3333, recall: 0.9685, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.9681, kappa: 0.7089, kb_relative_information_score: 2353.8887, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9678, predictive_accuracy: 0.9698, prior_entropy: 0.3333, recall: 0.9698, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.9708, kappa: 0.7348, kb_relative_information_score: 2465.0278, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9705, predictive_accuracy: 0.9722, prior_entropy: 0.3333, recall: 0.9722, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.9689, kappa: 0.7196, kb_relative_information_score: 2366.2375, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9684, predictive_accuracy: 0.97, prior_entropy: 0.3333, recall: 0.97, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.9703, kappa: 0.7353, kb_relative_information_score: 2415.6327, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9699, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.17, root_relative_squared_error: 0.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.9523, kappa: 0.5185, kb_relative_information_score: 1934.0297, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9614, predictive_accuracy: 0.9608, prior_entropy: 0.3333, recall: 0.9608, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.9237, kappa: 0.1889, kb_relative_information_score: 1131.3581, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9334, predictive_accuracy: 0.9435, prior_entropy: 0.3333, recall: 0.9435, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.9154, kappa: 0.0783, kb_relative_information_score: 1032.5677, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9449, predictive_accuracy: 0.9414, prior_entropy: 0.3333, recall: 0.9414, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2421, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.9671, kappa: 0.6909, kb_relative_information_score: 2353.8887, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9678, predictive_accuracy: 0.9698, prior_entropy: 0.3333, recall: 0.9698, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.7251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.9653, kappa: 0.6757, kb_relative_information_score: 2267.4471, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9655, predictive_accuracy: 0.9679, prior_entropy: 0.3333, recall: 0.9679, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,

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

OpenML APIs