OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9402, kappa: 0.8787, kb_relative_information_score: 9176.4097, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.9906, recall: 0.9402, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4331, scimark_benchmark: 1839.3442, usercpu_time_millis: 267.025, usercpu_time_millis_testing: 3.427, usercpu_time_millis_training: 263.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9357, kappa: 0.8696, kb_relative_information_score: 9138.4564, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9358, predictive_accuracy: 0.9358, prior_entropy: 0.9906, recall: 0.9358, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4392, scimark_benchmark: 1841.7343, usercpu_time_millis: 172.47, usercpu_time_millis_testing: 2.419, usercpu_time_millis_training: 170.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8422, kappa: 0.689, kb_relative_information_score: 7358.7951, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8661, predictive_accuracy: 0.8423, prior_entropy: 0.9906, recall: 0.8423, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.66, scimark_benchmark: 1711.6957, usercpu_time_millis: 833.854, usercpu_time_millis_testing: 10.612, usercpu_time_millis_training: 823.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6717.1905, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6678, scimark_benchmark: 1747.343, usercpu_time_millis: 859.734, usercpu_time_millis_testing: 11.956, usercpu_time_millis_training: 847.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9236, kappa: 0.8451, kb_relative_information_score: 8835.7977, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9236, predictive_accuracy: 0.9237, prior_entropy: 0.9906, recall: 0.9237, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4766, scimark_benchmark: 1728.0111, usercpu_time_millis: 433.58, usercpu_time_millis_testing: 5.509, usercpu_time_millis_training: 428.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9672, kappa: 0.9336, kb_relative_information_score: 10020.5354, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3126, scimark_benchmark: 1825.7071, usercpu_time_millis: 171.546, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 170.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9301, kappa: 0.8583, kb_relative_information_score: 9005.6418, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9301, predictive_accuracy: 0.9302, prior_entropy: 0.9906, recall: 0.9302, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4544, scimark_benchmark: 1729.6688, usercpu_time_millis: 223.886, usercpu_time_millis_testing: 3.099, usercpu_time_millis_training: 220.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8615, kappa: 0.7251, kb_relative_information_score: 7676.1494, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8785, predictive_accuracy: 0.8612, prior_entropy: 0.9906, recall: 0.8612, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6217, scimark_benchmark: 1838.2372, usercpu_time_millis: 840.811, usercpu_time_millis_testing: 10.366, usercpu_time_millis_training: 830.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.887, kappa: 0.774, kb_relative_information_score: 8015.3576, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.896, predictive_accuracy: 0.8867, prior_entropy: 0.9906, recall: 0.8867, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5806, scimark_benchmark: 1827.2989, usercpu_time_millis: 866.952, usercpu_time_millis_testing: 10.479, usercpu_time_millis_training: 856.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9299, kappa: 0.858, kb_relative_information_score: 9001.465, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9299, predictive_accuracy: 0.93, prior_entropy: 0.9906, recall: 0.93, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.226, root_relative_squared_error: 0.455, scimark_benchmark: 1832.6873, usercpu_time_millis: 265.143, usercpu_time_millis_testing: 3.356, usercpu_time_millis_training: 261.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 9509.4854, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9906, recall: 0.9497, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.3932, scimark_benchmark: 1825.876, usercpu_time_millis: 178.113, usercpu_time_millis_testing: 1.961, usercpu_time_millis_training: 176.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9311, kappa: 0.8603, kb_relative_information_score: 8908.1733, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 0.9906, recall: 0.9311, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4621, scimark_benchmark: 1853.3841, usercpu_time_millis: 359.289, usercpu_time_millis_testing: 4.569, usercpu_time_millis_training: 354.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8871, kappa: 0.7742, kb_relative_information_score: 8017.7864, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8961, predictive_accuracy: 0.8867, prior_entropy: 0.9906, recall: 0.8867, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5805, scimark_benchmark: 1838.1026, usercpu_time_millis: 715.477, usercpu_time_millis_testing: 9.857, usercpu_time_millis_training: 705.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 9198.733, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.9379, prior_entropy: 0.9906, recall: 0.9379, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1735.1301, usercpu_time_millis: 400.584, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 398.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 9197.4747, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.9379, prior_entropy: 0.9906, recall: 0.9379, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4259, scimark_benchmark: 1818.6631, usercpu_time_millis: 216.69, usercpu_time_millis_testing: 1.665, usercpu_time_millis_training: 215.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6994.5505, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6583, scimark_benchmark: 1834.111, usercpu_time_millis: 888.87, usercpu_time_millis_testing: 10.07, usercpu_time_millis_training: 878.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8995, kappa: 0.798, kb_relative_information_score: 8273.4867, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9044, predictive_accuracy: 0.8991, prior_entropy: 0.9906, recall: 0.8991, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5524, scimark_benchmark: 1817.1258, usercpu_time_millis: 899.426, usercpu_time_millis_testing: 10.59, usercpu_time_millis_training: 888.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9382, kappa: 0.8747, kb_relative_information_score: 9196.7703, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9906, recall: 0.9383, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4261, scimark_benchmark: 1824.282, usercpu_time_millis: 880.885, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 879.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9336, kappa: 0.8654, kb_relative_information_score: 9089.0584, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 0.9906, recall: 0.9337, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.221, root_relative_squared_error: 0.445, scimark_benchmark: 1805.1645, usercpu_time_millis: 368.651, usercpu_time_millis_testing: 3.258, usercpu_time_millis_training: 365.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9001, kappa: 0.7991, kb_relative_information_score: 8288.3232, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9043, predictive_accuracy: 0.8998, prior_entropy: 0.9906, recall: 0.8998, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5492, scimark_benchmark: 1845.7835, usercpu_time_millis: 721.466, usercpu_time_millis_testing: 9.298, usercpu_time_millis_training: 712.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9229, kappa: 0.8437, kb_relative_information_score: 8853.9217, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9229, predictive_accuracy: 0.9229, prior_entropy: 0.9906, recall: 0.9229, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4723, scimark_benchmark: 1731.5003, usercpu_time_millis: 281.118, usercpu_time_millis_testing: 3.719, usercpu_time_millis_training: 277.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8944, kappa: 0.7876, kb_relative_information_score: 8123.1219, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8983, predictive_accuracy: 0.8941, prior_entropy: 0.9906, recall: 0.8941, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5533, scimark_benchmark: 1819.6217, usercpu_time_millis: 906.165, usercpu_time_millis_testing: 10.404, usercpu_time_millis_training: 895.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8415, kappa: 0.6877, kb_relative_information_score: 7349.2757, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8657, predictive_accuracy: 0.8416, prior_entropy: 0.9906, recall: 0.8416, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6623, scimark_benchmark: 1714.7821, usercpu_time_millis: 918.87, usercpu_time_millis_testing: 11.414, usercpu_time_millis_training: 907.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8558, kappa: 0.7168, kb_relative_information_score: 7377.6674, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8846, predictive_accuracy: 0.8561, prior_entropy: 0.9906, recall: 0.8561, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6334, scimark_benchmark: 1727.7984, usercpu_time_millis: 906.319, usercpu_time_millis_testing: 11.001, usercpu_time_millis_training: 895.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9003, kappa: 0.7994, kb_relative_information_score: 8289.607, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9045, predictive_accuracy: 0.9, prior_entropy: 0.9906, recall: 0.9, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5491, scimark_benchmark: 1826.744, usercpu_time_millis: 863.876, usercpu_time_millis_testing: 9.861, usercpu_time_millis_training: 854.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 9194.6628, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.9379, prior_entropy: 0.9906, recall: 0.9379, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1725.6955, usercpu_time_millis: 926.011, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 924.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9199, kappa: 0.8378, kb_relative_information_score: 8527.6528, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.92, predictive_accuracy: 0.9199, prior_entropy: 0.9906, recall: 0.9199, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.4995, scimark_benchmark: 1697.3732, usercpu_time_millis: 922.069, usercpu_time_millis_testing: 8.014, usercpu_time_millis_training: 914.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.887, kappa: 0.774, kb_relative_information_score: 8016.6711, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8959, predictive_accuracy: 0.8867, prior_entropy: 0.9906, recall: 0.8867, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5806, scimark_benchmark: 1719.0752, usercpu_time_millis: 846.779, usercpu_time_millis_testing: 10.702, usercpu_time_millis_training: 836.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6020.1022, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7029, scimark_benchmark: 1831.6082, usercpu_time_millis: 892.433, usercpu_time_millis_testing: 10.471, usercpu_time_millis_training: 881.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9091, kappa: 0.8174, kb_relative_information_score: 8181.6024, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9141, predictive_accuracy: 0.9088, prior_entropy: 0.9906, recall: 0.9088, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.5459, scimark_benchmark: 1831.3366, usercpu_time_millis: 916.34, usercpu_time_millis_testing: 10.323, usercpu_time_millis_training: 906.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6037.3498, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7028, scimark_benchmark: 1772.0433, usercpu_time_millis: 924.88, usercpu_time_millis_testing: 12.103, usercpu_time_millis_training: 912.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9083, kappa: 0.8158, kb_relative_information_score: 8119.6101, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9137, predictive_accuracy: 0.908, prior_entropy: 0.9906, recall: 0.908, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.5479, scimark_benchmark: 1719.7152, usercpu_time_millis: 946.33, usercpu_time_millis_testing: 10.978, usercpu_time_millis_training: 935.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9155, kappa: 0.8288, kb_relative_information_score: 8640.9653, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9906, recall: 0.9155, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.499, scimark_benchmark: 1817.8507, usercpu_time_millis: 593.969, usercpu_time_millis_testing: 6.715, usercpu_time_millis_training: 587.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9156, kappa: 0.831, kb_relative_information_score: 8499.0074, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9238, predictive_accuracy: 0.9153, prior_entropy: 0.9906, recall: 0.9153, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5027, scimark_benchmark: 1824.1636, usercpu_time_millis: 887.54, usercpu_time_millis_testing: 10.353, usercpu_time_millis_training: 877.187,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6720.9697, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6664, scimark_benchmark: 1804.2617, usercpu_time_millis: 1043.065, usercpu_time_millis_testing: 11.125, usercpu_time_millis_training: 1031.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8995, kappa: 0.798, kb_relative_information_score: 8273.8427, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9044, predictive_accuracy: 0.8991, prior_entropy: 0.9906, recall: 0.8991, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5523, scimark_benchmark: 1838.2581, usercpu_time_millis: 807.474, usercpu_time_millis_testing: 10.08, usercpu_time_millis_training: 797.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9109, kappa: 0.8197, kb_relative_information_score: 8300.6326, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9114, predictive_accuracy: 0.9107, prior_entropy: 0.9906, recall: 0.9107, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5203, scimark_benchmark: 1751.4713, usercpu_time_millis: 866.921, usercpu_time_millis_testing: 9.832, usercpu_time_millis_training: 857.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8558, kappa: 0.7168, kb_relative_information_score: 7379.3717, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8846, predictive_accuracy: 0.8561, prior_entropy: 0.9906, recall: 0.8561, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6331, scimark_benchmark: 1838.7625, usercpu_time_millis: 813.085, usercpu_time_millis_testing: 10.141, usercpu_time_millis_training: 802.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8625, kappa: 0.7269, kb_relative_information_score: 7693.2025, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8789, predictive_accuracy: 0.8622, prior_entropy: 0.9906, recall: 0.8622, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6185, scimark_benchmark: 1728.1729, usercpu_time_millis: 761.803, usercpu_time_millis_testing: 10.502, usercpu_time_millis_training: 751.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6969.1188, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6628, scimark_benchmark: 1830.7616, usercpu_time_millis: 1036.512, usercpu_time_millis_testing: 12.348, usercpu_time_millis_training: 1024.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6969.1188, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6628, scimark_benchmark: 1814.6935, usercpu_time_millis: 873.338, usercpu_time_millis_testing: 11.74, usercpu_time_millis_training: 861.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9001, kappa: 0.7991, kb_relative_information_score: 8291.9133, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9044, predictive_accuracy: 0.8998, prior_entropy: 0.9906, recall: 0.8998, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5489, scimark_benchmark: 1821.7542, usercpu_time_millis: 862.797, usercpu_time_millis_testing: 9.835, usercpu_time_millis_training: 852.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6995.5063, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6577, scimark_benchmark: 1735.1328, usercpu_time_millis: 1079.001, usercpu_time_millis_testing: 14.16, usercpu_time_millis_training: 1064.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9164, kappa: 0.8306, kb_relative_information_score: 8660.3288, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9164, predictive_accuracy: 0.9164, prior_entropy: 0.9906, recall: 0.9164, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.4954, scimark_benchmark: 1751.2275, usercpu_time_millis: 533.02, usercpu_time_millis_testing: 6.156, usercpu_time_millis_training: 526.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9077, kappa: 0.8151, kb_relative_information_score: 7874.56, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9157, predictive_accuracy: 0.9074, prior_entropy: 0.9906, recall: 0.9074, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5546, scimark_benchmark: 1681.5496, usercpu_time_millis: 1049.091, usercpu_time_millis_testing: 11.651, usercpu_time_millis_training: 1037.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6969.5935, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6629, scimark_benchmark: 1849.9572, usercpu_time_millis: 936.811, usercpu_time_millis_testing: 11.908, usercpu_time_millis_training: 924.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8868, kappa: 0.7736, kb_relative_information_score: 8016.4093, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8958, predictive_accuracy: 0.8865, prior_entropy: 0.9906, recall: 0.8865, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5807, scimark_benchmark: 1846.8212, usercpu_time_millis: 870.923, usercpu_time_millis_testing: 10.526, usercpu_time_millis_training: 860.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9517, kappa: 0.9021, kb_relative_information_score: 9365.6287, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.9906, recall: 0.9517, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.406, scimark_benchmark: 1693.9973, usercpu_time_millis: 696.127, usercpu_time_millis_testing: 7.54, usercpu_time_millis_training: 688.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9381, kappa: 0.8743, kb_relative_information_score: 9194.8415, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4261, scimark_benchmark: 1826.744, usercpu_time_millis: 1129.053, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 1127.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.856, kappa: 0.7172, kb_relative_information_score: 7355.9972, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8848, predictive_accuracy: 0.8563, prior_entropy: 0.9906, recall: 0.8563, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5944, scimark_benchmark: 1720.3836, usercpu_time_millis: 974.421, usercpu_time_millis_testing: 10.664, usercpu_time_millis_training: 963.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.901, kappa: 0.7993, kb_relative_information_score: 8413.9417, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9011, predictive_accuracy: 0.9011, prior_entropy: 0.9906, recall: 0.9011, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5281, scimark_benchmark: 1813.3792, usercpu_time_millis: 479.722, usercpu_time_millis_testing: 5.164, usercpu_time_millis_training: 474.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9166, kappa: 0.8309, kb_relative_information_score: 8665.9797, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9166, predictive_accuracy: 0.9166, prior_entropy: 0.9906, recall: 0.9166, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4951, scimark_benchmark: 1833.5346, usercpu_time_millis: 455.17, usercpu_time_millis_testing: 5.718, usercpu_time_millis_training: 449.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9146, kappa: 0.8268, kb_relative_information_score: 8657.6681, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9146, predictive_accuracy: 0.9146, prior_entropy: 0.9906, recall: 0.9146, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.502, scimark_benchmark: 1816.7553, usercpu_time_millis: 663.457, usercpu_time_millis_testing: 7.476, usercpu_time_millis_training: 655.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6998.9147, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6567, scimark_benchmark: 1835.4706, usercpu_time_millis: 934.998, usercpu_time_millis_testing: 11.737, usercpu_time_millis_training: 923.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8871, kappa: 0.7742, kb_relative_information_score: 8015.7456, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8961, predictive_accuracy: 0.8867, prior_entropy: 0.9906, recall: 0.8867, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5807, scimark_benchmark: 1719.131, usercpu_time_millis: 780.327, usercpu_time_millis_testing: 10.538, usercpu_time_millis_training: 769.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9077, kappa: 0.8144, kb_relative_information_score: 8246.2007, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9121, predictive_accuracy: 0.9074, prior_entropy: 0.9906, recall: 0.9074, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.27, root_relative_squared_error: 0.5436, scimark_benchmark: 1819.2831, usercpu_time_millis: 833.521, usercpu_time_millis_testing: 9.896, usercpu_time_millis_training: 823.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8758, kappa: 0.7543, kb_relative_information_score: 8003.5774, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8968, predictive_accuracy: 0.8757, prior_entropy: 0.9906, recall: 0.8757, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.562, scimark_benchmark: 1727.8496, usercpu_time_millis: 830.02, usercpu_time_millis_testing: 10.479, usercpu_time_millis_training: 819.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 9194.7062, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.9379, prior_entropy: 0.9906, recall: 0.9379, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1706.475, usercpu_time_millis: 706.956, usercpu_time_millis_testing: 1.78, usercpu_time_millis_training: 705.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7019.3668, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6501, scimark_benchmark: 1841.6148, usercpu_time_millis: 937.551, usercpu_time_millis_testing: 11.507, usercpu_time_millis_training: 926.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9131, kappa: 0.824, kb_relative_information_score: 8652.1283, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9131, predictive_accuracy: 0.9132, prior_entropy: 0.9906, recall: 0.9132, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5022, scimark_benchmark: 1825.1829, usercpu_time_millis: 612.192, usercpu_time_millis_testing: 7.498, usercpu_time_millis_training: 604.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6913.3526, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6646, scimark_benchmark: 1776.3345, usercpu_time_millis: 1166.627, usercpu_time_millis_testing: 12.542, usercpu_time_millis_training: 1154.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9686, kappa: 0.9364, kb_relative_information_score: 10074.3632, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.9906, recall: 0.9686, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3143, scimark_benchmark: 1690.2464, usercpu_time_millis: 1168.508, usercpu_time_millis_testing: 4.53, usercpu_time_millis_training: 1163.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7044.2119, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6561, scimark_benchmark: 1839.7313, usercpu_time_millis: 908.172, usercpu_time_millis_testing: 10.336, usercpu_time_millis_training: 897.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9476, kappa: 0.8942, kb_relative_information_score: 9027.1911, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9492, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4267, scimark_benchmark: 1738.5331, usercpu_time_millis: 1053.132, usercpu_time_millis_testing: 9.255, usercpu_time_millis_training: 1043.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9117, kappa: 0.8209, kb_relative_information_score: 8615.9664, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9117, predictive_accuracy: 0.9117, prior_entropy: 0.9906, recall: 0.9117, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5088, scimark_benchmark: 1843.2259, usercpu_time_millis: 612.572, usercpu_time_millis_testing: 7.048, usercpu_time_millis_training: 605.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.887, kappa: 0.7758, kb_relative_information_score: 8251.5791, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9043, predictive_accuracy: 0.8868, prior_entropy: 0.9906, recall: 0.8868, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5515, scimark_benchmark: 1852.5406, usercpu_time_millis: 758.997, usercpu_time_millis_testing: 9.85, usercpu_time_millis_training: 749.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6969.5898, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6629, scimark_benchmark: 1830.2533, usercpu_time_millis: 1185.899, usercpu_time_millis_testing: 13.354, usercpu_time_millis_training: 1172.545,

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