Task
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: 0.9507, f_measure: 0.9857, kappa: 0.8729, kb_relative_information_score: 2740.0477, mean_absolute_error: 0.0226, 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: 0.1965, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.4782, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9825, kappa: 0.8478, kb_relative_information_score: 2886.3926, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5192, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9742, kappa: 0.775, kb_relative_information_score: 2309.8691, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9741, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.589, scimark_benchmark: 1744.8652, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 1744.8652, usercpu_time_millis: 1859.375, usercpu_time_millis_testing: 1859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1153.6325, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6828, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9682, kappa: 0.7275, kb_relative_information_score: 1830.4168, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9688, predictive_accuracy: 0.9677, prior_entropy: 0.3333, recall: 0.9677, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.6601, scimark_benchmark: 1744.8652, usercpu_time_millis: 1968.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, 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, scimark_benchmark: 1744.8652, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 3018.4123, mean_absolute_error: 0.0174, 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: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4715, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.9176, kappa: 0.1261, kb_relative_information_score: -85.5876, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9161, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9829, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9827, kappa: 0.8431, kb_relative_information_score: 2498.2535, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9832, predictive_accuracy: 0.9836, prior_entropy: 0.3333, recall: 0.9836, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4566, scimark_benchmark: 1744.8652, usercpu_time_millis: 625, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9857, kappa: 0.8729, kb_relative_information_score: 2740.0477, mean_absolute_error: 0.0226, 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: 0.1965, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.4782, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9861, kappa: 0.88, kb_relative_information_score: 3028.8069, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9862, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4599, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9742, kappa: 0.775, kb_relative_information_score: 2309.8691, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9741, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.589, scimark_benchmark: 1744.8652, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118, scimark_benchmark: 1744.8652, usercpu_time_millis: 2109.375, usercpu_time_millis_testing: 2109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1153.6325, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6828, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9659, kappa: 0.7062, kb_relative_information_score: 1653.0405, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9663, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.6931, scimark_benchmark: 1744.8652, usercpu_time_millis: 1843.75, usercpu_time_millis_training: 1843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372, scimark_benchmark: 1618.1738, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, 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, scimark_benchmark: 1241.4529, usercpu_time_millis: 830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518, scimark_benchmark: 1225.2577, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.9345, kappa: 0.3109, kb_relative_information_score: 1452.4267, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9518, 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, usercpu_time_millis: 12.319, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 11.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.98, kappa: 0.8204, kb_relative_information_score: 2860.1892, mean_absolute_error: 0.0194, 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: 0.168, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.5802, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, 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, usercpu_time_millis: 3.95, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 3.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.9461, kappa: 0.4725, kb_relative_information_score: 1588.2635, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9465, predictive_accuracy: 0.9533, prior_entropy: 0.3333, recall: 0.9533, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.216, root_relative_squared_error: 0.9009, usercpu_time_millis: 6.55, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9868, kappa: 0.8835, kb_relative_information_score: 3156.5603, mean_absolute_error: 0.013, 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: 0.1128, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.114, root_relative_squared_error: 0.4754, usercpu_time_millis: 62.938, usercpu_time_millis_testing: 7.45, usercpu_time_millis_training: 55.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.9643, kappa: 0.6653, kb_relative_information_score: 2230.4007, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9645, predictive_accuracy: 0.9671, prior_entropy: 0.3333, recall: 0.9671, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.7562, usercpu_time_millis: 1.787, usercpu_time_millis_testing: 1.754, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.9753, kappa: 0.7722, kb_relative_information_score: 2687.3061, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.976, predictive_accuracy: 0.9769, prior_entropy: 0.3333, recall: 0.9769, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.6334, usercpu_time_millis: 2.385, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.9619, kappa: 0.6607, kb_relative_information_score: 2032.82, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9612, predictive_accuracy: 0.9629, prior_entropy: 0.3333, recall: 0.9629, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.8035, usercpu_time_millis: 15.089, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 12.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9891, kappa: 0.9049, kb_relative_information_score: 3255.3507, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.3333, recall: 0.9891, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4348, usercpu_time_millis: 4.063, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 2.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.9488, kappa: 0.5027, kb_relative_information_score: 1674.705, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9492, predictive_accuracy: 0.9552, prior_entropy: 0.3333, recall: 0.9552, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.8828, usercpu_time_millis: 54.351, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 54.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9797, kappa: 0.8242, kb_relative_information_score: 2810.7941, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9798, predictive_accuracy: 0.9796, prior_entropy: 0.3333, recall: 0.9796, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.5959, usercpu_time_millis: 5.036, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 3.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.9656, kappa: 0.6842, kb_relative_information_score: 2255.0983, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9653, predictive_accuracy: 0.9677, prior_entropy: 0.3333, recall: 0.9677, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.7501, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.9646, kappa: 0.7034, kb_relative_information_score: 2057.5176, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9664, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7977, usercpu_time_millis: 3.071, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.9361, kappa: 0.3429, kb_relative_information_score: 1403.0316, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9425, predictive_accuracy: 0.9494, prior_entropy: 0.3333, recall: 0.9494, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.225, root_relative_squared_error: 0.9385, usercpu_time_millis: 3.665, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 3.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9852, kappa: 0.8724, kb_relative_information_score: 3070.1187, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9854, predictive_accuracy: 0.9852, prior_entropy: 0.3333, recall: 0.9852, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.5082, usercpu_time_millis: 3.495, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 2.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.9353, kappa: 0.5249, kb_relative_information_score: 316.3377, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9513, predictive_accuracy: 0.926, prior_entropy: 0.3333, recall: 0.926, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.272, root_relative_squared_error: 1.1343, usercpu_time_millis: 4.035, usercpu_time_millis_testing: 3.657, usercpu_time_millis_training: 0.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.9858, kappa: 0.8724, kb_relative_information_score: 3119.5139, mean_absolute_error: 0.0138, 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: 0.1197, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4897, usercpu_time_millis: 13.61, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 13.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9853, kappa: 0.868, kb_relative_information_score: 3094.8163, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9853, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.499, usercpu_time_millis: 13.004, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 12.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.9841, kappa: 0.8564, kb_relative_information_score: 3045.4212, mean_absolute_error: 0.0154, 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: 0.1335, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5172, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.9666, kappa: 0.6869, kb_relative_information_score: 2329.1911, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9671, predictive_accuracy: 0.9692, prior_entropy: 0.3333, recall: 0.9692, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.7314, usercpu_time_millis: 3.995, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 3.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9835, kappa: 0.8565, kb_relative_information_score: 2996.026, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9835, predictive_accuracy: 0.9836, prior_entropy: 0.3333, recall: 0.9836, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5347, usercpu_time_millis: 5.03, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 4.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9841, kappa: 0.8576, kb_relative_information_score: 3045.4212, mean_absolute_error: 0.0154, 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: 0.1335, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5172, usercpu_time_millis: 26.126, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 25.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9796, kappa: 0.8244, kb_relative_information_score: 2798.4453, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9799, predictive_accuracy: 0.9793, prior_entropy: 0.3333, recall: 0.9793, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.5997, usercpu_time_millis: 155.827, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 155.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9859, kappa: 0.874, kb_relative_information_score: 3119.5139, mean_absolute_error: 0.0138, 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: 0.1197, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4897, usercpu_time_millis: 140.362, usercpu_time_millis_testing: 22.33, usercpu_time_millis_training: 118.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.9294, kappa: 0.2498, kb_relative_information_score: 1328.9388, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.949, predictive_accuracy: 0.9478, prior_entropy: 0.3333, recall: 0.9478, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9531, usercpu_time_millis: 271.215, usercpu_time_millis_testing: 67.548, usercpu_time_millis_training: 203.667,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9923, kappa: 0.9322, kb_relative_information_score: 3403.5362, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.3333, recall: 0.9923, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.3657, usercpu_time_millis: 365.552, usercpu_time_millis_testing: 16.89, usercpu_time_millis_training: 348.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.9656, kappa: 0.6842, kb_relative_information_score: 2255.0983, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9653, predictive_accuracy: 0.9677, prior_entropy: 0.3333, recall: 0.9677, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.7501, usercpu_time_millis: 666.405, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 666.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.99, kappa: 0.912, kb_relative_information_score: 3304.7458, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.99, predictive_accuracy: 0.9902, prior_entropy: 0.3333, recall: 0.9902, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.099, root_relative_squared_error: 0.4131, usercpu_time_millis: 1770.041, usercpu_time_millis_testing: 1770.011, usercpu_time_millis_training: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.9353, kappa: 0.5249, kb_relative_information_score: -1295.4668, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9513, predictive_accuracy: 0.926, prior_entropy: 0.3333, recall: 0.926, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.9709, usercpu_time_millis: 3.287, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 0.279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.8891, kappa: 0.2671, kb_relative_information_score: -2474.4898, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9224, predictive_accuracy: 0.8661, prior_entropy: 0.3333, recall: 0.8661, relative_absolute_error: 1.1623, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3659, root_relative_squared_error: 1.526, scimark_benchmark: 1742.8208, usercpu_time_millis: 179781.25, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 179671.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9683, kappa: 0.7307, kb_relative_information_score: 1866.6579, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9692, predictive_accuracy: 0.9677, prior_entropy: 0.3333, recall: 0.9677, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6888, scimark_benchmark: 1931.8468, usercpu_time_millis: 23312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 23296.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, 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, scimark_benchmark: 1366.7135, usercpu_time_millis: 530, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9869, kappa: 0.8844, kb_relative_information_score: 3035.1224, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9868, predictive_accuracy: 0.987, prior_entropy: 0.3333, recall: 0.987, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.4581, scimark_benchmark: 928.0494, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9551, kappa: 0.574, kb_relative_information_score: 1242.2905, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9549, predictive_accuracy: 0.9594, prior_entropy: 0.3333, recall: 0.9594, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.7147, scimark_benchmark: 942.79, usercpu_time_millis: 2870, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9382, kappa: 0.5402, kb_relative_information_score: -1058.6143, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9524, predictive_accuracy: 0.93, prior_entropy: 0.3333, recall: 0.93, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9298, scimark_benchmark: 901.458, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1995.7737, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9626, kappa: 0.667, kb_relative_information_score: 212.2793, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9619, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9703, kappa: 0.7418, kb_relative_information_score: 2106.1917, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.3333, recall: 0.9703, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.9646, kappa: 0.7034, kb_relative_information_score: 2057.5176, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9664, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.9176, kappa: 0.1261, kb_relative_information_score: -85.5876, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9161, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9851, kappa: 0.8681, kb_relative_information_score: 2729.9153, mean_absolute_error: 0.0229, 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: 0.1987, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.4833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9679, kappa: 0.7122, kb_relative_information_score: 2221.981, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9674, predictive_accuracy: 0.969, prior_entropy: 0.3333, recall: 0.969, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.9356, kappa: 0.5269, kb_relative_information_score: -1315.1165, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9514, predictive_accuracy: 0.9266, prior_entropy: 0.3333, recall: 0.9266, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9868, kappa: 0.8856, kb_relative_information_score: 3072.5274, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9869, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9858, kappa: 0.875, kb_relative_information_score: 3126.1109, mean_absolute_error: 0.0139, 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: 0.121, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9091, kb_relative_information_score: -10.937, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9733, kappa: 0.7704, kb_relative_information_score: 1735.121, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9737, predictive_accuracy: 0.973, prior_entropy: 0.3333, recall: 0.973, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.974, kappa: 0.7758, kb_relative_information_score: 1907.0601, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9743, predictive_accuracy: 0.9738, prior_entropy: 0.3333, recall: 0.9738, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9721, kappa: 0.7643, kb_relative_information_score: 1334.3895, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9732, predictive_accuracy: 0.9714, prior_entropy: 0.3333, recall: 0.9714, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9593, kappa: 0.638, kb_relative_information_score: 1150.9004, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9586, predictive_accuracy: 0.9602, prior_entropy: 0.3333, recall: 0.9602, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9679, kappa: 0.7049, kb_relative_information_score: 1337.8882, mean_absolute_error: 0.0503, 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: 0.4365, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, 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: 0.6746, f_measure: 0.9438, kappa: 0.4514, kb_relative_information_score: 1489.4731, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9434, predictive_accuracy: 0.9512, prior_entropy: 0.3333, recall: 0.9512, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, f_measure: 0.9089, kappa: 0.0201, kb_relative_information_score: 711.7094, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8921, predictive_accuracy: 0.9345, prior_entropy: 0.3333, recall: 0.9345, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2558, root_relative_squared_error: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.9108, kappa: 0.0283, kb_relative_information_score: 884.3822, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9066, predictive_accuracy: 0.9382, prior_entropy: 0.3333, recall: 0.9382, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2485, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.909, kappa: -0.0005, kb_relative_information_score: -29889.7117, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 4.3034, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4957, root_relative_squared_error: 2.0676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9779, kappa: 0.8002, kb_relative_information_score: 2773.7477, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9779, predictive_accuracy: 0.9788, prior_entropy: 0.3333, recall: 0.9788, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.8779, kappa: 0.0809, kb_relative_information_score: -2635.0241, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.895, predictive_accuracy: 0.8627, prior_entropy: 0.3333, recall: 0.8627, relative_absolute_error: 1.1922, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9868, kappa: 0.883, kb_relative_information_score: 3084.0628, mean_absolute_error: 0.0152, 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: 0.1323, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9726, kappa: 0.764, kb_relative_information_score: 1398.4833, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9729, predictive_accuracy: 0.9724, prior_entropy: 0.3333, recall: 0.9724, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9756, kappa: 0.7902, kb_relative_information_score: 1838.7385, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9759, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9791, kappa: 0.8206, kb_relative_information_score: 2527.1297, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9795, predictive_accuracy: 0.9788, prior_entropy: 0.3333, recall: 0.9788, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9859, kappa: 0.875, kb_relative_information_score: 2972.5464, mean_absolute_error: 0.0178, 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: 0.1544, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.4788,

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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From your own software

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

OpenML APIs