OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59790 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6188, kappa: 0.2377, kb_relative_information_score: 90.1973, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6189, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.977, scimark_benchmark: 1245.7574, usercpu_time_millis: 58.93, usercpu_time_millis_testing: 3.923, usercpu_time_millis_training: 55.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6471, kappa: 0.2946, kb_relative_information_score: 148.4549, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6477, predictive_accuracy: 0.6473, prior_entropy: 1, recall: 0.6473, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9622, scimark_benchmark: 1248.6162, usercpu_time_millis: 341.601, usercpu_time_millis_testing: 15.228, usercpu_time_millis_training: 326.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6321, kappa: 0.2646, kb_relative_information_score: 117.6431, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6325, predictive_accuracy: 0.6323, prior_entropy: 1, recall: 0.6323, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9702, scimark_benchmark: 1258.5372, usercpu_time_millis: 39.278, usercpu_time_millis_testing: 2.725, usercpu_time_millis_training: 36.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.618, kappa: 0.2362, kb_relative_information_score: 64.3328, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9835, scimark_benchmark: 1246.4448, usercpu_time_millis: 257.081, usercpu_time_millis_testing: 16.53, usercpu_time_millis_training: 240.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6203, kappa: 0.2408, kb_relative_information_score: 67.0961, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6206, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9829, scimark_benchmark: 1232.7166, usercpu_time_millis: 24.197, usercpu_time_millis_testing: 2.329, usercpu_time_millis_training: 21.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.619, kappa: 0.2385, kb_relative_information_score: 75.2087, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6195, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9812, scimark_benchmark: 1278.3107, usercpu_time_millis: 26.454, usercpu_time_millis_testing: 1.982, usercpu_time_millis_training: 24.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.636, kappa: 0.2723, kb_relative_information_score: 131.8331, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6364, predictive_accuracy: 0.6362, prior_entropy: 1, recall: 0.6362, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9665, scimark_benchmark: 1243.5918, usercpu_time_millis: 159.69, usercpu_time_millis_testing: 8.965, usercpu_time_millis_training: 150.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6383, kappa: 0.2769, kb_relative_information_score: 112.7372, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6387, predictive_accuracy: 0.6385, prior_entropy: 1, recall: 0.6385, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9713, scimark_benchmark: 1241.9998, usercpu_time_millis: 112.182, usercpu_time_millis_testing: 4.801, usercpu_time_millis_training: 107.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6208, kappa: 0.2415, kb_relative_information_score: 69.4905, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6208, predictive_accuracy: 0.6208, prior_entropy: 1, recall: 0.6208, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9823, scimark_benchmark: 1277.4523, usercpu_time_millis: 109.363, usercpu_time_millis_testing: 7.544, usercpu_time_millis_training: 101.819,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6248, kappa: 0.25, kb_relative_information_score: 83.5012, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6252, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789, scimark_benchmark: 1265.8872, usercpu_time_millis: 55.586, usercpu_time_millis_testing: 3.503, usercpu_time_millis_training: 52.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 57.0842, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6174, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9853, scimark_benchmark: 1252.5583, usercpu_time_millis: 128.487, usercpu_time_millis_testing: 9.226, usercpu_time_millis_training: 119.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6382, kappa: 0.2769, kb_relative_information_score: 142.0856, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6389, predictive_accuracy: 0.6385, prior_entropy: 1, recall: 0.6385, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.482, root_relative_squared_error: 0.964, scimark_benchmark: 1277.7397, usercpu_time_millis: 60.253, usercpu_time_millis_testing: 3.5, usercpu_time_millis_training: 56.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6454, kappa: 0.2915, kb_relative_information_score: 140.9061, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6463, predictive_accuracy: 0.6458, prior_entropy: 1, recall: 0.6458, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9649, scimark_benchmark: 1263.8078, usercpu_time_millis: 79.693, usercpu_time_millis_testing: 4.145, usercpu_time_millis_training: 75.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6407, kappa: 0.2815, kb_relative_information_score: 112.3177, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6408, predictive_accuracy: 0.6408, prior_entropy: 1, recall: 0.6408, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9717, scimark_benchmark: 1280.0638, usercpu_time_millis: 197.238, usercpu_time_millis_testing: 11.776, usercpu_time_millis_training: 185.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.6004, kappa: 0.2008, kb_relative_information_score: 35.3148, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6004, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9908, scimark_benchmark: 1246.5235, usercpu_time_millis: 40.278, usercpu_time_millis_testing: 3.576, usercpu_time_millis_training: 36.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5063, kappa: 0.0131, kb_relative_information_score: 48.0196, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5066, predictive_accuracy: 0.5065, prior_entropy: 1, recall: 0.5065, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6903, root_relative_squared_error: 1.3806, scimark_benchmark: 1258.1581, usercpu_time_millis: 9.162, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 8.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6084, kappa: 0.2169, kb_relative_information_score: 61.8382, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6085, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9844, scimark_benchmark: 1259.1283, usercpu_time_millis: 90.624, usercpu_time_millis_testing: 6.688, usercpu_time_millis_training: 83.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.5934, kappa: 0.1869, kb_relative_information_score: 72.6627, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5935, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1257.2154, usercpu_time_millis: 44.661, usercpu_time_millis_testing: 3.148, usercpu_time_millis_training: 41.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6356, kappa: 0.2715, kb_relative_information_score: 126.0929, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.636, predictive_accuracy: 0.6358, prior_entropy: 1, recall: 0.6358, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.969, scimark_benchmark: 1251.9046, usercpu_time_millis: 57.862, usercpu_time_millis_testing: 3.013, usercpu_time_millis_training: 54.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6779, kappa: 0.3569, kb_relative_information_score: 210.6633, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6798, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9463, scimark_benchmark: 1280.0864, usercpu_time_millis: 146.669, usercpu_time_millis_testing: 5.569, usercpu_time_millis_training: 141.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 61.471, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9843, scimark_benchmark: 1278.072, usercpu_time_millis: 94.426, usercpu_time_millis_testing: 7.248, usercpu_time_millis_training: 87.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.5726, kappa: 0.1454, kb_relative_information_score: 110.6057, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5727, predictive_accuracy: 0.5727, prior_entropy: 1, recall: 0.5727, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 1277.3777, usercpu_time_millis: 9.353, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 8.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6199, kappa: 0.24, kb_relative_information_score: 98.2721, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6201, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9752, scimark_benchmark: 1277.222, usercpu_time_millis: 114.279, usercpu_time_millis_testing: 6.662, usercpu_time_millis_training: 107.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5935, kappa: 0.1869, kb_relative_information_score: 25.0585, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5935, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1251.0254, usercpu_time_millis: 70.029, usercpu_time_millis_testing: 5.838, usercpu_time_millis_training: 64.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 40.6427, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6039, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9895, scimark_benchmark: 1249.8877, usercpu_time_millis: 44.811, usercpu_time_millis_testing: 3.819, usercpu_time_millis_training: 40.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.5992, kappa: 0.1985, kb_relative_information_score: 46.229, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5992, predictive_accuracy: 0.5992, prior_entropy: 1, recall: 0.5992, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1252.1821, usercpu_time_millis: 18.487, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 16.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.5858, kappa: 0.1715, kb_relative_information_score: 97.6625, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5858, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9779, scimark_benchmark: 1263.2778, usercpu_time_millis: 13.729, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 12.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6525, kappa: 0.3054, kb_relative_information_score: 166.8214, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.653, predictive_accuracy: 0.6527, prior_entropy: 1, recall: 0.6527, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9585, scimark_benchmark: 1278.4434, usercpu_time_millis: 36.921, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 34.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.5965, kappa: 0.1931, kb_relative_information_score: 27.7691, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5966, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1244.6919, usercpu_time_millis: 56.157, usercpu_time_millis_testing: 5.436, usercpu_time_millis_training: 50.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6289, kappa: 0.2585, kb_relative_information_score: 101.453, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6297, predictive_accuracy: 0.6292, prior_entropy: 1, recall: 0.6292, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9747, scimark_benchmark: 1249.1272, usercpu_time_millis: 108.225, usercpu_time_millis_testing: 5.964, usercpu_time_millis_training: 102.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 29.8622, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1252.393, usercpu_time_millis: 25.998, usercpu_time_millis_testing: 2.526, usercpu_time_millis_training: 23.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6448, kappa: 0.29, kb_relative_information_score: 128.9293, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6453, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9675, scimark_benchmark: 1273.5762, usercpu_time_millis: 121.262, usercpu_time_millis_testing: 6.065, usercpu_time_millis_training: 115.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.605, kappa: 0.21, kb_relative_information_score: 41.7805, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.605, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1276.5771, usercpu_time_millis: 58.614, usercpu_time_millis_testing: 5.225, usercpu_time_millis_training: 53.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.5919, kappa: 0.1838, kb_relative_information_score: 57.0137, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5919, predictive_accuracy: 0.5919, prior_entropy: 1, recall: 0.5919, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9865, scimark_benchmark: 1277.5737, usercpu_time_millis: 11.288, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 10.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6428, kappa: 0.2862, kb_relative_information_score: 132.7436, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6435, predictive_accuracy: 0.6431, prior_entropy: 1, recall: 0.6431, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9667, scimark_benchmark: 1269.9727, usercpu_time_millis: 128.663, usercpu_time_millis_testing: 5.929, usercpu_time_millis_training: 122.734,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6108, kappa: 0.2215, kb_relative_information_score: 36.8605, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1247.0778, usercpu_time_millis: 68.767, usercpu_time_millis_testing: 5.25, usercpu_time_millis_training: 63.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 76.6146, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6174, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9807, scimark_benchmark: 1267.7307, usercpu_time_millis: 124.666, usercpu_time_millis_testing: 8.417, usercpu_time_millis_training: 116.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6088, kappa: 0.2177, kb_relative_information_score: 55.1364, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6088, predictive_accuracy: 0.6088, prior_entropy: 1, recall: 0.6088, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9858, scimark_benchmark: 1256.3056, usercpu_time_millis: 54.52, usercpu_time_millis_testing: 4.434, usercpu_time_millis_training: 50.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6145, kappa: 0.2292, kb_relative_information_score: 73.4235, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9814, scimark_benchmark: 1269.5489, usercpu_time_millis: 136.205, usercpu_time_millis_testing: 10.051, usercpu_time_millis_training: 126.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6257, kappa: 0.2515, kb_relative_information_score: 108.8581, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6259, predictive_accuracy: 0.6258, prior_entropy: 1, recall: 0.6258, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9727, scimark_benchmark: 1244.4861, usercpu_time_millis: 51.169, usercpu_time_millis_testing: 2.835, usercpu_time_millis_training: 48.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 49.6369, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6146, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9873, scimark_benchmark: 1250.28, usercpu_time_millis: 58.988, usercpu_time_millis_testing: 4.323, usercpu_time_millis_training: 54.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 43.7043, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1276.9478, usercpu_time_millis: 61.382, usercpu_time_millis_testing: 5.113, usercpu_time_millis_training: 56.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.6169, kappa: 0.2338, kb_relative_information_score: 53.4334, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.617, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9863, scimark_benchmark: 1263.2433, usercpu_time_millis: 38.196, usercpu_time_millis_testing: 2.974, usercpu_time_millis_training: 35.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6107, kappa: 0.2215, kb_relative_information_score: 94.8303, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9782, scimark_benchmark: 1247.0202, usercpu_time_millis: 26.431, usercpu_time_millis_testing: 2.045, usercpu_time_millis_training: 24.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6226, kappa: 0.2454, kb_relative_information_score: 83.1657, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6228, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789, scimark_benchmark: 1273.4216, usercpu_time_millis: 59.895, usercpu_time_millis_testing: 4.095, usercpu_time_millis_training: 55.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 23.0183, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.612, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1251.6883, usercpu_time_millis: 27.111, usercpu_time_millis_testing: 2.852, usercpu_time_millis_training: 24.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.6335, kappa: 0.2677, kb_relative_information_score: 106.5407, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6343, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9729, scimark_benchmark: 1261.0311, usercpu_time_millis: 213.055, usercpu_time_millis_testing: 11.552, usercpu_time_millis_training: 201.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 65.1421, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6073, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 1268.8718, usercpu_time_millis: 54.721, usercpu_time_millis_testing: 4.682, usercpu_time_millis_training: 50.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6582, kappa: 0.3177, kb_relative_information_score: 176.7136, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.66, predictive_accuracy: 0.6588, prior_entropy: 1, recall: 0.6588, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9551, scimark_benchmark: 1267.2644, usercpu_time_millis: 342.124, usercpu_time_millis_testing: 12.915, usercpu_time_millis_training: 329.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.615, kappa: 0.23, kb_relative_information_score: 45.6237, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.615, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1258.4903, usercpu_time_millis: 79.098, usercpu_time_millis_testing: 5.367, usercpu_time_millis_training: 73.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6593, kappa: 0.32, kb_relative_information_score: 170.8326, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6613, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9566, scimark_benchmark: 1273.3847, usercpu_time_millis: 299.513, usercpu_time_millis_testing: 12.24, usercpu_time_millis_training: 287.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.6581, kappa: 0.3169, kb_relative_information_score: 155.7722, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6591, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9609, scimark_benchmark: 1269.4982, usercpu_time_millis: 116.511, usercpu_time_millis_testing: 4.956, usercpu_time_millis_training: 111.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6007, kappa: 0.2015, kb_relative_information_score: 51.8106, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9871, scimark_benchmark: 1243.2005, usercpu_time_millis: 31.996, usercpu_time_millis_testing: 2.833, usercpu_time_millis_training: 29.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 94.6585, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6159, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9771, scimark_benchmark: 1250.4259, usercpu_time_millis: 43.189, usercpu_time_millis_testing: 3.182, usercpu_time_millis_training: 40.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 54.3942, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6159, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 1264.0091, usercpu_time_millis: 46.525, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 42.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.6282, kappa: 0.2569, kb_relative_information_score: 108.9188, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6289, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9726, scimark_benchmark: 1254.3492, usercpu_time_millis: 34.01, usercpu_time_millis_testing: 2.151, usercpu_time_millis_training: 31.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.6138, kappa: 0.2277, kb_relative_information_score: 60.2688, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6139, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9845, scimark_benchmark: 1267.7868, usercpu_time_millis: 58.903, usercpu_time_millis_testing: 5.269, usercpu_time_millis_training: 53.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.608, kappa: 0.2162, kb_relative_information_score: 71.9157, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6081, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.982, scimark_benchmark: 1266.4291, usercpu_time_millis: 92.465, usercpu_time_millis_testing: 5.833, usercpu_time_millis_training: 86.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.6161, kappa: 0.2323, kb_relative_information_score: 80.8707, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6163, predictive_accuracy: 0.6162, prior_entropy: 1, recall: 0.6162, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9793, scimark_benchmark: 1245.5926, usercpu_time_millis: 134.997, usercpu_time_millis_testing: 7.793, usercpu_time_millis_training: 127.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.627, kappa: 0.2546, kb_relative_information_score: 103.8782, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6277, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9736, scimark_benchmark: 1263.9117, usercpu_time_millis: 84.101, usercpu_time_millis_testing: 4.225, usercpu_time_millis_training: 79.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.5988, kappa: 0.1977, kb_relative_information_score: 59.8004, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5988, predictive_accuracy: 0.5988, prior_entropy: 1, recall: 0.5988, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9855, scimark_benchmark: 1265.8146, usercpu_time_millis: 40.657, usercpu_time_millis_testing: 2.968, usercpu_time_millis_training: 37.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6142, kappa: 0.2285, kb_relative_information_score: 97.5939, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6143, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9753, scimark_benchmark: 1254.6604, usercpu_time_millis: 34.179, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 31.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 62.5771, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6166, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9841, scimark_benchmark: 1245.7604, usercpu_time_millis: 239.364, usercpu_time_millis_testing: 15.596, usercpu_time_millis_training: 223.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.3747, kappa: 0.0315, kb_relative_information_score: 0.0315, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6617, predictive_accuracy: 0.5158, prior_entropy: 1, recall: 0.5158, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.3917,

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