Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 3858 Supervised Classification mfeat-zernike 581 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9333, kappa: 0.6794, kb_relative_information_score: 867.5195, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9529, predictive_accuracy: 0.9255, prior_entropy: 0.4703, recall: 0.9255, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9846, kappa: 0.9145, kb_relative_information_score: 1715.3173, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 0.4703, recall: 0.9845, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9873, kappa: 0.9285, kb_relative_information_score: 1786.4691, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9874, predictive_accuracy: 0.9875, prior_entropy: 0.4703, recall: 0.9875, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9344, kappa: 0.6832, kb_relative_information_score: 872.7955, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9529, predictive_accuracy: 0.927, prior_entropy: 0.4703, recall: 0.927, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.987, kappa: 0.9275, kb_relative_information_score: 1775.2161, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.4703, recall: 0.987, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9915, kappa: 0.9531, kb_relative_information_score: 1876.5498, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 0.4703, recall: 0.9915, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9879, kappa: 0.9318, kb_relative_information_score: 1826.2555, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9835, kappa: 0.9081, kb_relative_information_score: 1694.921, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.4703, recall: 0.9835, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9899, kappa: 0.9434, kb_relative_information_score: 1822.992, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9919, kappa: 0.955, kb_relative_information_score: 1865.61, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9837, kappa: 0.9109, kb_relative_information_score: 1737.8415, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9842, predictive_accuracy: 0.9835, prior_entropy: 0.4703, recall: 0.9835, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9935, kappa: 0.9635, kb_relative_information_score: 1872.4341, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.067, root_relative_squared_error: 0.2234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9637, kappa: 0.8116, kb_relative_information_score: 1376.2977, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9694, predictive_accuracy: 0.9615, prior_entropy: 0.4703, recall: 0.9615, relative_absolute_error: 0.2207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.994, kappa: 0.9664, kb_relative_information_score: 1906.8428, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9889, kappa: 0.9375, kb_relative_information_score: 1756.0684, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9889, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9862, kappa: 0.9217, kb_relative_information_score: 1608.9694, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.9865, prior_entropy: 0.4703, recall: 0.9865, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9915, kappa: 0.9525, kb_relative_information_score: 1809.0819, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.4703, recall: 0.9915, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.993, kappa: 0.9608, kb_relative_information_score: 1819.2487, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.991, kappa: 0.9498, kb_relative_information_score: 1806.6823, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9909, kappa: 0.9493, kb_relative_information_score: 1861.849, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9814, kappa: 0.8961, kb_relative_information_score: 1711.0273, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9813, predictive_accuracy: 0.9815, prior_entropy: 0.4703, recall: 0.9815, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.4435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9333, kappa: 0.6794, kb_relative_information_score: 867.2876, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9529, predictive_accuracy: 0.9255, prior_entropy: 0.4703, recall: 0.9255, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.992, kappa: 0.9558, kb_relative_information_score: 1855.8373, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9777, kappa: 0.8797, kb_relative_information_score: 1598.5099, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9792, predictive_accuracy: 0.977, prior_entropy: 0.4703, recall: 0.977, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9894, kappa: 0.9407, kb_relative_information_score: 1839.7199, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9898, kappa: 0.9421, kb_relative_information_score: 1693.1005, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9223, kappa: 0.6358, kb_relative_information_score: 622.481, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9474, predictive_accuracy: 0.912, prior_entropy: 0.4703, recall: 0.912, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9904, kappa: 0.9461, kb_relative_information_score: 1854.4726, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9819, kappa: 0.8991, kb_relative_information_score: 1717.9266, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9819, predictive_accuracy: 0.982, prior_entropy: 0.4703, recall: 0.982, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.934, kappa: 0.6815, kb_relative_information_score: 872.2525, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9527, predictive_accuracy: 0.9265, prior_entropy: 0.4703, recall: 0.9265, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9333, kappa: 0.6794, kb_relative_information_score: 867.329, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9529, predictive_accuracy: 0.9255, prior_entropy: 0.4703, recall: 0.9255, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.8526, kb_relative_information_score: -325.6781, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9868, kappa: 0.9251, kb_relative_information_score: 1566.9677, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.4703, recall: 0.987, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9776, kappa: 0.8758, kb_relative_information_score: 1662.6871, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 0.4703, recall: 0.9775, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.996, kappa: 0.9777, kb_relative_information_score: 1935.6127, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.4703, recall: 0.996, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108, scimark_benchmark: 1280.301, usercpu_time_millis: 468.75, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9881, kappa: 0.9342, kb_relative_information_score: 1817.5908, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9882, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3651, scimark_benchmark: 1280.301, usercpu_time_millis: 2609.375, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1461.2356, usercpu_time_millis: 6531.25, usercpu_time_millis_testing: 1687.5, usercpu_time_millis_training: 4843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1461.2356, usercpu_time_millis: 1203.125, usercpu_time_millis_testing: 406.25, usercpu_time_millis_training: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9935, kappa: 0.964, kb_relative_information_score: 1886.0405, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.074, root_relative_squared_error: 0.2467, scimark_benchmark: 1013.4066, usercpu_time_millis: 20578.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 20562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.992, kappa: 0.9559, kb_relative_information_score: 1873.9863, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2772, scimark_benchmark: 1862.8608, usercpu_time_millis: 13703.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 13687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.992, kappa: 0.9559, kb_relative_information_score: 1873.9863, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2772, scimark_benchmark: 1787.9841, usercpu_time_millis: 16031.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 16000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1593.4834, usercpu_time_millis: 980, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 740,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9864, kappa: 0.9238, kb_relative_information_score: 1810.5009, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9864, predictive_accuracy: 0.9865, prior_entropy: 0.4703, recall: 0.9865, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.3404, scimark_benchmark: 1788.6668, 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: 0.9665, f_measure: 0.9879, kappa: 0.9324, kb_relative_information_score: 1788.038, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3567, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9884, kappa: 0.9351, kb_relative_information_score: 1805.0041, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.4703, recall: 0.9885, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.3409, scimark_benchmark: 1788.6668, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.991, kappa: 0.9498, kb_relative_information_score: 1799.8892, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2846, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9894, kappa: 0.9405, kb_relative_information_score: 1839.7199, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3416, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9945, kappa: 0.9692, kb_relative_information_score: 1913.4836, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472, scimark_benchmark: 934.5424, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.988, kappa: 0.9336, kb_relative_information_score: 1805.7633, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.3652, scimark_benchmark: 1531.6241, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.993, kappa: 0.9609, kb_relative_information_score: 1839.386, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2584, scimark_benchmark: 1447.2612, usercpu_time_millis: 406.25, usercpu_time_millis_testing: 375, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9891, kappa: 0.94, kb_relative_information_score: 1841.3069, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9893, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.291, scimark_benchmark: 1840.6094, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 265.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.995, kappa: 0.9726, kb_relative_information_score: 1914.9221, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.2041, scimark_benchmark: 1840.6094, usercpu_time_millis: 875, usercpu_time_millis_testing: 875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.993, kappa: 0.9608, kb_relative_information_score: 1870.7217, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.226, scimark_benchmark: 1873.1108, usercpu_time_millis: 1312.5, usercpu_time_millis_testing: 1312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.993, kappa: 0.9609, kb_relative_information_score: 1824.2439, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.264, scimark_benchmark: 1873.1108, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 312.5, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9935, kappa: 0.9635, kb_relative_information_score: 1875.9773, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.2251, scimark_benchmark: 1873.1108, usercpu_time_millis: 1125, usercpu_time_millis_testing: 1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9935, kappa: 0.9638, kb_relative_information_score: 1898.7308, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.9066, kappa: 0.3936, kb_relative_information_score: 910.2975, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.932, predictive_accuracy: 0.9265, prior_entropy: 0.4703, recall: 0.9265, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.991, kappa: 0.9496, kb_relative_information_score: 1861.849, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162, scimark_benchmark: 1870.7932, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9955, kappa: 0.9749, kb_relative_information_score: 1928.2363, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236, scimark_benchmark: 1870.7932, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9835, kappa: 0.9061, kb_relative_information_score: 1656.5036, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9839, predictive_accuracy: 0.984, prior_entropy: 0.4703, recall: 0.984, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4108, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9826, kappa: 0.9012, kb_relative_information_score: 1644.5785, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9828, predictive_accuracy: 0.983, prior_entropy: 0.4703, recall: 0.983, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.4223, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9852, kappa: 0.9188, kb_relative_information_score: 1735.6019, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9856, predictive_accuracy: 0.985, prior_entropy: 0.4703, recall: 0.985, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3814, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,

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

OpenML bootcamp

From your own software

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

OpenML APIs