Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 14965 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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14965 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9857, kappa: 0.875, kb_relative_information_score: 2844.0255, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9856, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9781, kappa: 0.8058, kb_relative_information_score: 2593.2422, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9779, predictive_accuracy: 0.9785, prior_entropy: 0.3333, recall: 0.9785, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9864, kappa: 0.8802, kb_relative_information_score: 2917.3337, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9863, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.1421, 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: 0.9646, f_measure: 0.9857, kappa: 0.8734, kb_relative_information_score: 2847.1978, mean_absolute_error: 0.0176, 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: 0.1524, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9867, kappa: 0.8833, kb_relative_information_score: 2945.2329, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9847, kappa: 0.8661, kb_relative_information_score: 2833.1175, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9847, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9863, kappa: 0.8797, kb_relative_information_score: 2930.6902, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9795, kappa: 0.8181, kb_relative_information_score: 2556.9103, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9858, kappa: 0.8745, kb_relative_information_score: 2910.6623, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9825, kappa: 0.8461, kb_relative_information_score: 2800.3208, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9824, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9859, kappa: 0.8771, kb_relative_information_score: 3035.4941, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1304, 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: 0.9865, f_measure: 0.98, kappa: 0.8229, kb_relative_information_score: 2561.4321, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9798, predictive_accuracy: 0.9804, prior_entropy: 0.3333, recall: 0.9804, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.4761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9786, kappa: 0.8106, kb_relative_information_score: 2610.2374, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9784, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9881, kappa: 0.8952, kb_relative_information_score: 3079.1658, mean_absolute_error: 0.0132, 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: 0.1144, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9821, kappa: 0.8407, kb_relative_information_score: 2658.8022, mean_absolute_error: 0.0209, 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: 0.1817, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.111, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9881, kappa: 0.896, kb_relative_information_score: 3092.3312, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.988, predictive_accuracy: 0.9881, prior_entropy: 0.3333, recall: 0.9881, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9791, kappa: 0.8146, kb_relative_information_score: 2574.781, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9789, predictive_accuracy: 0.9796, prior_entropy: 0.3333, recall: 0.9796, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9868, kappa: 0.8835, kb_relative_information_score: 3013.7328, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9867, predictive_accuracy: 0.987, prior_entropy: 0.3333, recall: 0.987, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9848, kappa: 0.8649, kb_relative_information_score: 2632.0055, mean_absolute_error: 0.0214, 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: 0.1855, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9858, kappa: 0.876, kb_relative_information_score: 2916.5601, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9858, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9891, kappa: 0.9041, kb_relative_information_score: 3188.2861, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.3333, recall: 0.9891, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.984, kappa: 0.8605, kb_relative_information_score: 2817.6741, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9845, kappa: 0.8646, kb_relative_information_score: 2954.2604, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9845, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9899, kappa: 0.9117, kb_relative_information_score: 3115.6299, mean_absolute_error: 0.0127, 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: 0.1099, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9807, kappa: 0.8299, kb_relative_information_score: 2618.2191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9822, kappa: 0.8434, kb_relative_information_score: 2770.4113, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9821, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9804, kappa: 0.8255, kb_relative_information_score: 2565.61, mean_absolute_error: 0.0236, 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: 0.2045, 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: 0.9828, f_measure: 0.9786, kappa: 0.8106, kb_relative_information_score: 2606.2245, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9784, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9839, kappa: 0.8582, kb_relative_information_score: 2816.7567, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9838, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9802, kappa: 0.8235, kb_relative_information_score: 2561.7901, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3333, recall: 0.9806, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.114, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9807, kappa: 0.8276, kb_relative_information_score: 2589.4888, mean_absolute_error: 0.0232, 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: 0.2014, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.4641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9853, kappa: 0.8708, kb_relative_information_score: 2944.8199, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9852, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1391, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.4609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9807, kappa: 0.8276, kb_relative_information_score: 2553.4916, mean_absolute_error: 0.0237, 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: 0.2054, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.113, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9842, kappa: 0.8594, kb_relative_information_score: 2664.0642, mean_absolute_error: 0.0211, 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: 0.1828, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9808, kappa: 0.8305, kb_relative_information_score: 2591.772, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9807, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.989, kappa: 0.9033, kb_relative_information_score: 3086.3927, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.3333, recall: 0.9891, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9864, kappa: 0.8802, kb_relative_information_score: 2908.6589, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9863, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9867, kappa: 0.8847, kb_relative_information_score: 3092.3135, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9845, kappa: 0.8641, kb_relative_information_score: 2866.7277, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9844, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9843, kappa: 0.8631, kb_relative_information_score: 2877.4364, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9821, kappa: 0.8407, kb_relative_information_score: 2653.2377, mean_absolute_error: 0.021, 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: 0.1826, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9853, kappa: 0.8703, kb_relative_information_score: 2838.6122, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9852, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9836, kappa: 0.8556, kb_relative_information_score: 2793.6147, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9835, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9863, kappa: 0.8787, kb_relative_information_score: 2866.6773, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9837, kappa: 0.8567, kb_relative_information_score: 2715.4015, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9836, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9858, kappa: 0.8755, kb_relative_information_score: 2882.2867, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9899, kappa: 0.9124, kb_relative_information_score: 3093.4099, mean_absolute_error: 0.0129, 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: 0.1119, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9821, kappa: 0.8407, kb_relative_information_score: 2673.5512, mean_absolute_error: 0.0207, 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: 0.18, 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: 0.9714, f_measure: 0.9894, kappa: 0.9081, kb_relative_information_score: 3229.4963, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3333, recall: 0.9894, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9847, kappa: 0.8645, kb_relative_information_score: 2950.7466, mean_absolute_error: 0.0164, 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: 0.1425, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9819, kappa: 0.8393, kb_relative_information_score: 2607.3651, mean_absolute_error: 0.0217, 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: 0.1883, 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: 0.9868, f_measure: 0.9851, kappa: 0.8693, kb_relative_information_score: 2882.0891, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.985, predictive_accuracy: 0.9852, prior_entropy: 0.3333, recall: 0.9852, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9864, kappa: 0.8802, kb_relative_information_score: 2914.4966, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9863, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.1424, 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: 0.9838, f_measure: 0.9837, kappa: 0.8567, kb_relative_information_score: 2717.0136, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9836, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9884, kappa: 0.8994, kb_relative_information_score: 3038.5706, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9824, kappa: 0.8435, kb_relative_information_score: 2657.8456, mean_absolute_error: 0.0212, 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: 0.1845, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9841, kappa: 0.8597, kb_relative_information_score: 2683.8212, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.984, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9848, kappa: 0.8667, kb_relative_information_score: 2945.1934, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9847, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9862, kappa: 0.8791, kb_relative_information_score: 2929.21, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 0.3333, recall: 0.9862, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9836, kappa: 0.8562, kb_relative_information_score: 2708.732, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9835, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9847, kappa: 0.8661, kb_relative_information_score: 2832.2011, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9847, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9861, kappa: 0.8781, kb_relative_information_score: 3005.6007, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.986, predictive_accuracy: 0.9862, prior_entropy: 0.3333, recall: 0.9862, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9841, kappa: 0.8603, kb_relative_information_score: 2704.7199, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.984, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9854, kappa: 0.8724, kb_relative_information_score: 2828.0863, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9853, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.989, kappa: 0.9029, kb_relative_information_score: 3093.7833, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9889, predictive_accuracy: 0.9891, prior_entropy: 0.3333, recall: 0.9891, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9881, kappa: 0.8947, kb_relative_information_score: 3027.7397, mean_absolute_error: 0.014, 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: 0.1215, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.093, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9845, kappa: 0.8646, kb_relative_information_score: 2855.1839, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9845, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9836, kappa: 0.8562, kb_relative_information_score: 2703.9518, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9835, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9843, kappa: 0.8631, kb_relative_information_score: 2875.741, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9843, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.987, kappa: 0.8872, kb_relative_information_score: 2958.1668, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.987, prior_entropy: 0.3333, recall: 0.987, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9837, kappa: 0.8567, kb_relative_information_score: 2723.3289, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9836, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9896, kappa: 0.9092, kb_relative_information_score: 3198.2408, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3333, recall: 0.9897, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.986, kappa: 0.878, kb_relative_information_score: 3055.0497, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9882, kappa: 0.8965, kb_relative_information_score: 3042.5146, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9806, kappa: 0.8284, kb_relative_information_score: 2628.6936, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9804, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9896, kappa: 0.9088, kb_relative_information_score: 3209.7863, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3333, recall: 0.9897, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.097, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9899, kappa: 0.9113, kb_relative_information_score: 3208.6769, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9815, kappa: 0.8359, kb_relative_information_score: 2621.9263, mean_absolute_error: 0.0215, 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: 0.1869, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.111, root_relative_squared_error: 0.4629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9884, kappa: 0.8982, kb_relative_information_score: 3086.3546, mean_absolute_error: 0.0131, 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: 0.1134, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9804, kappa: 0.8255, kb_relative_information_score: 2619.5964, mean_absolute_error: 0.0228, 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: 0.1976, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9781, kappa: 0.8058, kb_relative_information_score: 2576.321, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9779, predictive_accuracy: 0.9785, prior_entropy: 0.3333, recall: 0.9785, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.987, kappa: 0.8872, kb_relative_information_score: 2960.2097, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.987, prior_entropy: 0.3333, recall: 0.987, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9824, kappa: 0.8435, kb_relative_information_score: 2654.071, mean_absolute_error: 0.0212, 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: 0.1845, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9838, kappa: 0.8585, kb_relative_information_score: 2843.3635, mean_absolute_error: 0.0181, 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: 0.1571, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.4316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9792, kappa: 0.8161, kb_relative_information_score: 2637.3364, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.979, predictive_accuracy: 0.9796, prior_entropy: 0.3333, recall: 0.9796, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9836, kappa: 0.8556, kb_relative_information_score: 2800.3374, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9835, predictive_accuracy: 0.9838, prior_entropy: 0.3333, recall: 0.9838, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9795, kappa: 0.8189, kb_relative_information_score: 2609.0765, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.4733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9853, kappa: 0.8703, kb_relative_information_score: 2939.9603, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9852, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9841, kappa: 0.8603, kb_relative_information_score: 2712.1917, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.984, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.984, kappa: 0.8605, kb_relative_information_score: 2891.7958, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 0.3333, recall: 0.9841, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9802, kappa: 0.8235, kb_relative_information_score: 2559.5949, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.98, predictive_accuracy: 0.9806, prior_entropy: 0.3333, recall: 0.9806, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9798, kappa: 0.8209, kb_relative_information_score: 2610.7932, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9796, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9854, kappa: 0.8729, kb_relative_information_score: 2939.8569, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9847, kappa: 0.8661, kb_relative_information_score: 2838.7083, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9847, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9821, kappa: 0.8407, kb_relative_information_score: 2656.4344, mean_absolute_error: 0.0211, 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: 0.1828, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.4642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9853, kappa: 0.8714, kb_relative_information_score: 2866.2614, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9852, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.1485, 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: 0.9763, f_measure: 0.9872, kappa: 0.888, kb_relative_information_score: 2929.7915, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9871, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 2891.2161, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9857, kappa: 0.875, kb_relative_information_score: 2844.7803, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9856, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.4474,

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