OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 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_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 76, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9736, scimark_benchmark: 1282.6525, usercpu_time_millis: 18.454, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 18.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -62.9322, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9913, scimark_benchmark: 1232.7761, usercpu_time_millis: 14.006, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 13.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.8543, kappa: 0.0491, kb_relative_information_score: -23.5848, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8443, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9734, scimark_benchmark: 1280.5037, usercpu_time_millis: 8.896, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 8.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -65.9499, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9917, scimark_benchmark: 1285.8493, usercpu_time_millis: 820.413, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 820.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -36.4106, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.9911, scimark_benchmark: 1252.9196, usercpu_time_millis: 9.962, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 9.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -26.9909, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9938, scimark_benchmark: 1244.4978, usercpu_time_millis: 9.603, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 9.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.8535, kappa: 0.0318, kb_relative_information_score: -42.3153, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.884, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.9741, scimark_benchmark: 1221.986, usercpu_time_millis: 4.931, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 4.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.8489, kappa: -0.0013, kb_relative_information_score: -35.3509, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.9947, scimark_benchmark: 1274.4673, usercpu_time_millis: 12.144, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 12.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.577, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9734, scimark_benchmark: 1281.1676, usercpu_time_millis: 14.05, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 13.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -63.4087, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9918, scimark_benchmark: 1287.0599, usercpu_time_millis: 456.201, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 456.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8492, kb_relative_information_score: 3.7218, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9997, scimark_benchmark: 1272.8521, usercpu_time_millis: 4.303, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.862, kappa: 0.1018, kb_relative_information_score: -144.892, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8673, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9561, scimark_benchmark: 1240.5163, usercpu_time_millis: 12.017, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 11.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -22.0346, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.9911, scimark_benchmark: 1270.391, usercpu_time_millis: 6.788, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 6.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.8492, kb_relative_information_score: 4.1624, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9994, scimark_benchmark: 1279.5141, usercpu_time_millis: 4.491, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4784, f_measure: 0.8492, kb_relative_information_score: 4.655, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9995, scimark_benchmark: 1251.1357, usercpu_time_millis: 4.415, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 4.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8529, kappa: 0.0389, kb_relative_information_score: -13.7708, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8397, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9775, scimark_benchmark: 1268.8713, usercpu_time_millis: 5.171, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 4.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -33.6185, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9816, scimark_benchmark: 1251.1646, usercpu_time_millis: 5.459, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 5.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -50.1154, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1250.844, usercpu_time_millis: 62.264, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 62.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -7.4686, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9925, scimark_benchmark: 1238.1668, usercpu_time_millis: 6.192, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 6.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.7164, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9711, scimark_benchmark: 1281.7196, usercpu_time_millis: 16.807, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 16.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4801, f_measure: 0.8492, kb_relative_information_score: 1.7715, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9998, scimark_benchmark: 1264.5086, usercpu_time_millis: 4.435, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4699, f_measure: 0.8492, kb_relative_information_score: 2.4113, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9997, scimark_benchmark: 1284.9015, usercpu_time_millis: 4.912, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.8492, kb_relative_information_score: 3.3594, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9996, scimark_benchmark: 1283.1021, usercpu_time_millis: 5.262, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8632, kappa: 0.1067, kb_relative_information_score: -25.0536, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8774, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9745, scimark_benchmark: 1287.906, usercpu_time_millis: 17.743, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 17.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -62.6229, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9918, scimark_benchmark: 1259.3852, usercpu_time_millis: 584.77, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 584.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -61.896, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1283.5071, usercpu_time_millis: 253.614, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 253.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.8516, kappa: 0.0195, kb_relative_information_score: -54.9025, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8578, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.301, root_relative_squared_error: 0.9929, scimark_benchmark: 1279.4429, usercpu_time_millis: 40.179, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 40.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.8492, kb_relative_information_score: -11.6009, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0002, scimark_benchmark: 1264.639, usercpu_time_millis: 7.196, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 7.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -65.639, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1282.6953, usercpu_time_millis: 734.561, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 734.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 5.8863, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.9978, scimark_benchmark: 1240.585, usercpu_time_millis: 5.006, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 4.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.8538, kappa: 0.0332, kb_relative_information_score: -41.782, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9097, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9745, scimark_benchmark: 1237.8843, usercpu_time_millis: 5.278, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 5.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -42.7305, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.9806, scimark_benchmark: 1282.0885, usercpu_time_millis: 5.583, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 5.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -27.3239, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3, root_relative_squared_error: 0.9897, scimark_benchmark: 1252.079, usercpu_time_millis: 6.979, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 6.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.8486, kappa: -0.0025, kb_relative_information_score: -85.249, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8056, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.997, scimark_benchmark: 1275.3194, usercpu_time_millis: 20.863, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 20.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -50.3824, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9927, scimark_benchmark: 1286.1151, usercpu_time_millis: 91.653, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 91.561,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.8513, kappa: 0.0182, kb_relative_information_score: -49.4413, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8475, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9891, scimark_benchmark: 1258.5944, usercpu_time_millis: 8.267, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 8.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 85.2356, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9709, scimark_benchmark: 1275.2739, usercpu_time_millis: 16.996, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 16.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 81.6605, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9733, scimark_benchmark: 1285.6046, usercpu_time_millis: 14.625, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 14.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.441, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 5.942, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9976, scimark_benchmark: 1283.625, usercpu_time_millis: 4.564, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.8562, kappa: 0.0563, kb_relative_information_score: -224.7614, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.9658, scimark_benchmark: 1274.18, usercpu_time_millis: 4.855, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 4.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.8532, kappa: 0.0303, kb_relative_information_score: -35.9665, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8686, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9787, scimark_benchmark: 1238.8009, usercpu_time_millis: 5.355, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 5.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -29.0761, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.9938, scimark_benchmark: 1247.1721, usercpu_time_millis: 7.433, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 7.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.8594, kappa: 0.0783, kb_relative_information_score: 34.3868, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8726, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.9784, scimark_benchmark: 1246.8554, usercpu_time_millis: 17.266, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 16.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.8492, kb_relative_information_score: 4.8621, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9988, scimark_benchmark: 1266.6398, usercpu_time_millis: 5.755, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 5.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -24.711, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.9907, scimark_benchmark: 1281.7965, usercpu_time_millis: 6.4, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 6.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: -40.4591, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.294, root_relative_squared_error: 0.9699, scimark_benchmark: 1248.9973, usercpu_time_millis: 4.897, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.8492, kb_relative_information_score: 0.1818, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9991, scimark_benchmark: 1280.093, usercpu_time_millis: 4.91, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.652, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: -45.5496, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.9936, scimark_benchmark: 1239.0513, usercpu_time_millis: 19.229, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 19.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -52.5819, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9921, scimark_benchmark: 1254.8105, usercpu_time_millis: 136.402, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 136.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -58.1076, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9916, scimark_benchmark: 1248.2525, usercpu_time_millis: 182.743, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 182.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4439, f_measure: 0.8508, kappa: 0.0112, kb_relative_information_score: 5.9363, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.9086, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.9977, scimark_benchmark: 1257.8742, usercpu_time_millis: 4.454, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.8528, kappa: 0.029, kb_relative_information_score: -38.0332, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9729, scimark_benchmark: 1254.2802, usercpu_time_millis: 5.25, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 5.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.8492, kb_relative_information_score: -2.9287, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9991, scimark_benchmark: 1279.5637, usercpu_time_millis: 7.523, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 7.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 70.0032, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.478, recall: 0.9034, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.973, scimark_benchmark: 1281.0294, usercpu_time_millis: 17.641, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 17.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.8661, kappa: 0.1235, kb_relative_information_score: 88.2875, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8996, predictive_accuracy: 0.904, prior_entropy: 0.478, recall: 0.904, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.971, scimark_benchmark: 1258.8027, usercpu_time_millis: 16.48, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 16.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.8521, kappa: 0.0262, kb_relative_information_score: -35.6979, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8454, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9614, scimark_benchmark: 1265.6437, usercpu_time_millis: 4.46, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4816, f_measure: 0.8492, kb_relative_information_score: 1.8285, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9999, scimark_benchmark: 1253.5996, usercpu_time_millis: 4.45, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.861, kappa: 0.0936, kb_relative_information_score: -122.0363, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8674, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9607, scimark_benchmark: 1291.1158, usercpu_time_millis: 14.896, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 14.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.8665, kappa: 0.1366, kb_relative_information_score: -53.2714, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.872, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.292, root_relative_squared_error: 0.9632, scimark_benchmark: 1259.8869, usercpu_time_millis: 17.311, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 17.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.864, kappa: 0.1101, kb_relative_information_score: 63.125, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8863, predictive_accuracy: 0.9021, prior_entropy: 0.478, recall: 0.9021, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.9752, scimark_benchmark: 1255.2579, usercpu_time_millis: 18.024, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 17.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.8633, kappa: 0.1035, kb_relative_information_score: 77.2608, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8961, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9732, scimark_benchmark: 1241.7331, usercpu_time_millis: 17.005, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 16.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: 6.0015, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.9956, scimark_benchmark: 1250.0261, usercpu_time_millis: 5.376, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 5.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -61.7312, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9919, scimark_benchmark: 1283.433, usercpu_time_millis: 268.417, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 268.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -63.2221, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9915, scimark_benchmark: 1283.77, usercpu_time_millis: 744.129, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 744.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, f_measure: 0.8492, kb_relative_information_score: 3.7065, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.303, root_relative_squared_error: 0.9997, scimark_benchmark: 1255.6558, usercpu_time_millis: 4.332, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.852, kappa: 0.0209, kb_relative_information_score: -59.5633, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.875, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.9918, scimark_benchmark: 1260.0997, usercpu_time_millis: 210.259, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 210.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.8504, kappa: 0.0098, kb_relative_information_score: -25.8263, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8574, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9921, scimark_benchmark: 1283.473, usercpu_time_millis: 6.646, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 6.556,

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