Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 12 Supervised Classification mfeat-factors 23377 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 random_tag study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.6663, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5312, kappa: 0.0561, kb_relative_information_score: 223.258, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1505, prior_entropy: 3.3219, recall: 0.1505, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 35.9518, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.342, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3006, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9374, kappa: 0.9306, kb_relative_information_score: 1597.2013, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9382, predictive_accuracy: 0.9375, prior_entropy: 3.3219, recall: 0.9375, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.9489, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9351, kappa: 0.9278, kb_relative_information_score: 1679.9386, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.4054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.8303, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8901, kappa: 0.8789, kb_relative_information_score: 1572.8993, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8925, predictive_accuracy: 0.891, prior_entropy: 3.3219, recall: 0.891, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9399, kappa: 0.9333, kb_relative_information_score: 1733.1054, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9411, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.6679, kappa: 0.6483, kb_relative_information_score: 1046.8676, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7293, predictive_accuracy: 0.6835, prior_entropy: 3.3219, recall: 0.6835, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 53.4847, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3005, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.406, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, kappa: 0.05, kb_relative_information_score: 211.7547, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.145, prior_entropy: 3.3219, recall: 0.145, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.2181, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.5079, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.7126, kappa: 0.685, kb_relative_information_score: 1239.4284, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7201, predictive_accuracy: 0.7165, prior_entropy: 3.3219, recall: 0.7165, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, kappa: 0.6756, kb_relative_information_score: 781.7626, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.8055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.1516, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.5928, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.118, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9297, kappa: 0.9217, kb_relative_information_score: 1696.3566, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.93, predictive_accuracy: 0.9295, prior_entropy: 3.3219, recall: 0.9295, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.3959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.3566, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9381, kappa: 0.9311, kb_relative_information_score: 1675.3696, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9387, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9252, kappa: 0.9167, kb_relative_information_score: 1653.2423, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9265, predictive_accuracy: 0.925, prior_entropy: 3.3219, recall: 0.925, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.2621, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9294, kappa: 0.9217, kb_relative_information_score: 1527.5479, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.93, predictive_accuracy: 0.9295, prior_entropy: 3.3219, recall: 0.9295, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.4889, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.9986, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.6971, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.6772, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7583, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.2037, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.941, kappa: 0.9344, kb_relative_information_score: 1772.7828, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9412, predictive_accuracy: 0.941, prior_entropy: 3.3219, recall: 0.941, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.8968, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.778, kappa: 0.7611, kb_relative_information_score: 935.1098, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.798, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.944, kappa: 0.9378, kb_relative_information_score: 1759.204, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9443, predictive_accuracy: 0.944, prior_entropy: 3.3219, recall: 0.944, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.3483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9189, kappa: 0.9094, kb_relative_information_score: 1616.3785, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.92, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 75.9939, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3021, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.1409, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3004, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8869, kappa: 0.8744, kb_relative_information_score: 1658.5749, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8884, predictive_accuracy: 0.887, prior_entropy: 3.3219, recall: 0.887, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.6314, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.9637, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.2357, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.3025, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3006, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9265, kappa: 0.9189, kb_relative_information_score: 1543.8538, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9286, predictive_accuracy: 0.927, prior_entropy: 3.3219, recall: 0.927, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9207, kappa: 0.9122, kb_relative_information_score: 1301.2129, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9222, predictive_accuracy: 0.921, prior_entropy: 3.3219, recall: 0.921, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.7968, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.6991, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9335, kappa: 0.9261, kb_relative_information_score: 1843.8869, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9338, predictive_accuracy: 0.9335, prior_entropy: 3.3219, recall: 0.9335, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.3245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.53, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9363, kappa: 0.9294, kb_relative_information_score: 1539.6564, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9369, predictive_accuracy: 0.9365, prior_entropy: 3.3219, recall: 0.9365, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9349, kappa: 0.9278, kb_relative_information_score: 1734.0808, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.6067, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.468, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9294, kappa: 0.9217, kb_relative_information_score: 1700.5933, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9295, predictive_accuracy: 0.9295, prior_entropy: 3.3219, recall: 0.9295, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.6606, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9038, kappa: 0.8922, kb_relative_information_score: 1170.5669, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9101, predictive_accuracy: 0.903, prior_entropy: 3.3219, recall: 0.903, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.4944, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.1929, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 100.0483, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.947, kappa: 0.9411, kb_relative_information_score: 1828.604, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9475, predictive_accuracy: 0.947, prior_entropy: 3.3219, recall: 0.947, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.093, root_relative_squared_error: 0.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.0057, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.9401, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3005, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.935, kappa: 0.9278, kb_relative_information_score: 1741.991, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9351, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 92.9216, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3027, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.8962, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 117.6365, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.94, kappa: 0.9333, kb_relative_information_score: 1697.1495, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9407, predictive_accuracy: 0.94, prior_entropy: 3.3219, recall: 0.94, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 52.6204, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3005, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 72.0454, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3014, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 63.4478, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3009, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.85, kappa: 0.8322, kb_relative_information_score: 1682.4978, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8524, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9396, kappa: 0.9328, kb_relative_information_score: 1713.2584, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9399, predictive_accuracy: 0.9395, prior_entropy: 3.3219, recall: 0.9395, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8635, kappa: 0.8478, kb_relative_information_score: 1708.649, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8655, predictive_accuracy: 0.863, prior_entropy: 3.3219, recall: 0.863, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9435, kappa: 0.9372, kb_relative_information_score: 1739.0646, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9443, predictive_accuracy: 0.9435, prior_entropy: 3.3219, recall: 0.9435, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8663, kappa: 0.8511, kb_relative_information_score: 1718.459, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8679, predictive_accuracy: 0.866, prior_entropy: 3.3219, recall: 0.866, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8572, kappa: 0.8406, kb_relative_information_score: 1699.6185, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8596, predictive_accuracy: 0.8565, prior_entropy: 3.3219, recall: 0.8565, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8784, kappa: 0.8644, kb_relative_information_score: 1736.7954, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8799, predictive_accuracy: 0.878, prior_entropy: 3.3219, recall: 0.878, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9535, kappa: 0.9483, kb_relative_information_score: 1740.5022, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.954, predictive_accuracy: 0.9535, prior_entropy: 3.3219, recall: 0.9535, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9175, kappa: 0.9083, kb_relative_information_score: 1710.8763, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9182, predictive_accuracy: 0.9175, prior_entropy: 3.3219, recall: 0.9175, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.919, kappa: 0.91, kb_relative_information_score: 1720.7953, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9197, predictive_accuracy: 0.919, prior_entropy: 3.3219, recall: 0.919, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9505, kappa: 0.945, kb_relative_information_score: 1694.3941, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.951, predictive_accuracy: 0.9505, prior_entropy: 3.3219, recall: 0.9505, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.93, kappa: 0.9222, kb_relative_information_score: 1739.7733, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9308, predictive_accuracy: 0.93, prior_entropy: 3.3219, recall: 0.93, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9385, kappa: 0.9317, kb_relative_information_score: 1706.1799, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 3.3219, recall: 0.9385, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.8846, kappa: 0.8717, kb_relative_information_score: 1747.0763, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8849, predictive_accuracy: 0.8845, prior_entropy: 3.3219, recall: 0.8845, relative_absolute_error: 0.1714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9215, kappa: 0.9128, kb_relative_information_score: 1732.3491, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9221, predictive_accuracy: 0.9215, prior_entropy: 3.3219, recall: 0.9215, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9405, kappa: 0.9339, kb_relative_information_score: 1712.4482, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9412, predictive_accuracy: 0.9405, prior_entropy: 3.3219, recall: 0.9405, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 1748.0727, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.961, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.899, kappa: 0.8878, kb_relative_information_score: 1728.1897, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9002, predictive_accuracy: 0.899, prior_entropy: 3.3219, recall: 0.899, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 1804.633, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 1810.1727, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9548, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 1797.307, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9638, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.3203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9616, kappa: 0.9572, kb_relative_information_score: 1816.6348, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9619, predictive_accuracy: 0.9615, prior_entropy: 3.3219, recall: 0.9615, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9479, kappa: 0.9422, kb_relative_information_score: 1824.6172, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 3.3219, recall: 0.948, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.3177,

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

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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

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