Task
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: 0.9746, f_measure: 0.914, kappa: 0.8258, kb_relative_information_score: 8645.4623, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9906, recall: 0.9141, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5028, scimark_benchmark: 1791.4165, usercpu_time_millis: 1100.38, usercpu_time_millis_testing: 9.417, usercpu_time_millis_training: 1090.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8414, kappa: 0.6875, kb_relative_information_score: 7347.7742, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8657, predictive_accuracy: 0.8415, prior_entropy: 0.9906, recall: 0.8415, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6621, scimark_benchmark: 1831.6082, usercpu_time_millis: 825.894, usercpu_time_millis_testing: 10.359, usercpu_time_millis_training: 815.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8414, kappa: 0.6875, kb_relative_information_score: 7349.6447, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8657, predictive_accuracy: 0.8415, prior_entropy: 0.9906, recall: 0.8415, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6627, scimark_benchmark: 1790.6935, usercpu_time_millis: 734.115, usercpu_time_millis_testing: 10.027, usercpu_time_millis_training: 724.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.8298, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1835.6541, usercpu_time_millis: 1209.148, usercpu_time_millis_testing: 6.32, usercpu_time_millis_training: 1202.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6903.6906, mean_absolute_error: 0.1947, 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: 0.3945, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6586, scimark_benchmark: 1692.7715, usercpu_time_millis: 1074.989, usercpu_time_millis_testing: 11.923, usercpu_time_millis_training: 1063.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8618, kappa: 0.7258, kb_relative_information_score: 7678.3302, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8787, predictive_accuracy: 0.8616, prior_entropy: 0.9906, recall: 0.8616, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6218, scimark_benchmark: 1733.299, usercpu_time_millis: 744.6, usercpu_time_millis_testing: 10.422, usercpu_time_millis_training: 734.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9147, kappa: 0.8273, kb_relative_information_score: 8595.523, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9148, predictive_accuracy: 0.9147, prior_entropy: 0.9906, recall: 0.9147, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5041, scimark_benchmark: 1724.8648, usercpu_time_millis: 722.29, usercpu_time_millis_testing: 9.394, usercpu_time_millis_training: 712.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 9195.0004, 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: 1810.9497, usercpu_time_millis: 941.746, usercpu_time_millis_testing: 1.964, usercpu_time_millis_training: 939.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.905, kappa: 0.8074, kb_relative_information_score: 8483.6205, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.905, predictive_accuracy: 0.9051, prior_entropy: 0.9906, recall: 0.9051, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.515, scimark_benchmark: 1798.1165, usercpu_time_millis: 608.595, usercpu_time_millis_testing: 3.958, usercpu_time_millis_training: 604.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9382, kappa: 0.8747, kb_relative_information_score: 9196.6172, 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: 0.426, scimark_benchmark: 1732.4995, usercpu_time_millis: 853.612, usercpu_time_millis_testing: 1.729, usercpu_time_millis_training: 851.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8416, kappa: 0.6878, kb_relative_information_score: 7351.1425, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8658, predictive_accuracy: 0.8417, prior_entropy: 0.9906, recall: 0.8417, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6613, scimark_benchmark: 1831.1542, usercpu_time_millis: 808.407, usercpu_time_millis_testing: 10.344, usercpu_time_millis_training: 798.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9205, kappa: 0.8389, kb_relative_information_score: 8649.9001, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9205, predictive_accuracy: 0.9205, prior_entropy: 0.9906, recall: 0.9205, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.4926, scimark_benchmark: 1827.3078, usercpu_time_millis: 572.649, usercpu_time_millis_testing: 7.015, usercpu_time_millis_training: 565.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9, kappa: 0.7989, kb_relative_information_score: 8288.5641, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9043, predictive_accuracy: 0.8997, prior_entropy: 0.9906, recall: 0.8997, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5493, scimark_benchmark: 1813.8291, usercpu_time_millis: 1105.403, usercpu_time_millis_testing: 10.956, usercpu_time_millis_training: 1094.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8615, kappa: 0.7252, kb_relative_information_score: 7676.9505, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8785, predictive_accuracy: 0.8613, prior_entropy: 0.9906, recall: 0.8613, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6216, scimark_benchmark: 1836.0529, usercpu_time_millis: 799.625, usercpu_time_millis_testing: 10.047, usercpu_time_millis_training: 789.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9381, kappa: 0.8745, kb_relative_information_score: 9194.9899, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9382, predictive_accuracy: 0.9382, prior_entropy: 0.9906, recall: 0.9382, 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: 1841.6148, usercpu_time_millis: 1014.312, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 1012.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 9986.1584, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3228, scimark_benchmark: 1744.051, usercpu_time_millis: 1233.007, usercpu_time_millis_testing: 5.498, usercpu_time_millis_training: 1227.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8625, kappa: 0.7269, kb_relative_information_score: 7693.191, 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: 1732.7292, usercpu_time_millis: 798.175, usercpu_time_millis_testing: 10.584, usercpu_time_millis_training: 787.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8411, kappa: 0.687, kb_relative_information_score: 7348.1932, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8656, predictive_accuracy: 0.8412, prior_entropy: 0.9906, recall: 0.8412, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6635, scimark_benchmark: 1838.3764, usercpu_time_millis: 796.47, usercpu_time_millis_testing: 10.314, usercpu_time_millis_training: 786.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 9898.4972, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3318, scimark_benchmark: 1849.0221, usercpu_time_millis: 1265.206, usercpu_time_millis_testing: 5.743, usercpu_time_millis_training: 1259.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9143, kappa: 0.8263, kb_relative_information_score: 8654.7181, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9143, predictive_accuracy: 0.9143, prior_entropy: 0.9906, recall: 0.9143, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.4999, scimark_benchmark: 1730.8333, usercpu_time_millis: 710.972, usercpu_time_millis_testing: 8.927, usercpu_time_millis_training: 702.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8994, kappa: 0.7978, kb_relative_information_score: 8274.1794, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9043, 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: 0.5522, scimark_benchmark: 1841.1522, usercpu_time_millis: 771.12, usercpu_time_millis_testing: 9.871, usercpu_time_millis_training: 761.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6993.2938, 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: 0.3848, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6584, scimark_benchmark: 1751.2764, usercpu_time_millis: 1021.785, usercpu_time_millis_testing: 12.535, usercpu_time_millis_training: 1009.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6993.4881, 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: 0.3848, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6583, scimark_benchmark: 1834.1659, usercpu_time_millis: 886.283, usercpu_time_millis_testing: 10.431, usercpu_time_millis_training: 875.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9008, kappa: 0.8005, kb_relative_information_score: 8302.5634, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9049, predictive_accuracy: 0.9005, prior_entropy: 0.9906, recall: 0.9005, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5477, scimark_benchmark: 1840.1274, usercpu_time_millis: 770.231, usercpu_time_millis_testing: 9.543, usercpu_time_millis_training: 760.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9143, kappa: 0.8263, kb_relative_information_score: 8642.9089, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9143, predictive_accuracy: 0.9143, prior_entropy: 0.9906, recall: 0.9143, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5014, scimark_benchmark: 1848.388, usercpu_time_millis: 579.34, usercpu_time_millis_testing: 7.459, usercpu_time_millis_training: 571.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9276, kappa: 0.8534, kb_relative_information_score: 8797.4611, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9277, predictive_accuracy: 0.9276, prior_entropy: 0.9906, recall: 0.9276, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.4741, scimark_benchmark: 1806.2149, usercpu_time_millis: 913.67, usercpu_time_millis_testing: 5.698, usercpu_time_millis_training: 907.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7105.8664, mean_absolute_error: 0.1806, 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: 0.3659, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6023, scimark_benchmark: 1788.3789, usercpu_time_millis: 1294.249, usercpu_time_millis_testing: 6.431, usercpu_time_millis_training: 1287.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8996, kappa: 0.7983, kb_relative_information_score: 8276.8327, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9045, predictive_accuracy: 0.8993, prior_entropy: 0.9906, recall: 0.8993, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5517, scimark_benchmark: 1837.1955, usercpu_time_millis: 704.345, usercpu_time_millis_testing: 9.681, usercpu_time_millis_training: 694.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8415, kappa: 0.6877, kb_relative_information_score: 7350.6036, mean_absolute_error: 0.1673, 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: 0.3391, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6625, scimark_benchmark: 1782.797, usercpu_time_millis: 744.623, usercpu_time_millis_testing: 10.333, usercpu_time_millis_training: 734.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8868, kappa: 0.7736, kb_relative_information_score: 8015.8033, mean_absolute_error: 0.1404, 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: 0.2844, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5807, scimark_benchmark: 1802.8685, usercpu_time_millis: 1082.068, usercpu_time_millis_testing: 11.26, usercpu_time_millis_training: 1070.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6914.3941, 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: 0.3931, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6642, scimark_benchmark: 1764.0233, usercpu_time_millis: 773.848, usercpu_time_millis_testing: 10.336, usercpu_time_millis_training: 763.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9164, kappa: 0.8312, kb_relative_information_score: 8414.7507, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9177, predictive_accuracy: 0.9162, prior_entropy: 0.9906, recall: 0.9162, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5157, scimark_benchmark: 1845.264, usercpu_time_millis: 881.445, usercpu_time_millis_testing: 9.68, usercpu_time_millis_training: 871.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8615, kappa: 0.7252, kb_relative_information_score: 7676.128, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8785, predictive_accuracy: 0.8613, prior_entropy: 0.9906, recall: 0.8613, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6219, scimark_benchmark: 1725.1757, usercpu_time_millis: 785.97, usercpu_time_millis_testing: 10.642, usercpu_time_millis_training: 775.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8421, kappa: 0.6887, kb_relative_information_score: 7354.1107, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.866, predictive_accuracy: 0.8422, prior_entropy: 0.9906, recall: 0.8422, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6605, scimark_benchmark: 1822.1832, usercpu_time_millis: 775.965, usercpu_time_millis_testing: 10.002, usercpu_time_millis_training: 765.963,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6988.0712, mean_absolute_error: 0.1902, 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: 0.3854, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6597, scimark_benchmark: 1815.763, usercpu_time_millis: 1012.428, usercpu_time_millis_testing: 12.052, usercpu_time_millis_training: 1000.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6720.9991, 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: 1805.5645, usercpu_time_millis: 1456.126, usercpu_time_millis_testing: 13.468, usercpu_time_millis_training: 1442.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.938, kappa: 0.8742, kb_relative_information_score: 9196.6479, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.9906, recall: 0.938, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1747.9901, usercpu_time_millis: 1586.03, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 1584.279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.963, kappa: 0.925, kb_relative_information_score: 9265.8379, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9632, predictive_accuracy: 0.9629, prior_entropy: 0.9906, recall: 0.9629, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3998, scimark_benchmark: 1831.2156, usercpu_time_millis: 1073.125, usercpu_time_millis_testing: 5.923, usercpu_time_millis_training: 1067.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.7168, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1749.7281, usercpu_time_millis: 1563.311, usercpu_time_millis_testing: 7.584, usercpu_time_millis_training: 1555.727,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.938, kappa: 0.8742, kb_relative_information_score: 9196.579, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.9906, recall: 0.938, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1734.2259, usercpu_time_millis: 1483.268, usercpu_time_millis_testing: 1.736, usercpu_time_millis_training: 1481.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6993.3498, 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: 0.3848, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6585, scimark_benchmark: 1821.212, usercpu_time_millis: 1407.237, usercpu_time_millis_testing: 14.625, usercpu_time_millis_training: 1392.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 6034.1784, mean_absolute_error: 0.2372, 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: 0.4806, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7027, scimark_benchmark: 1826.2385, usercpu_time_millis: 1119.312, usercpu_time_millis_testing: 11.971, usercpu_time_millis_training: 1107.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.7168, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1815.4107, usercpu_time_millis: 1707.399, usercpu_time_millis_testing: 7.38, usercpu_time_millis_training: 1700.019,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 10105.5621, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.9906, recall: 0.971, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.311, scimark_benchmark: 1798.9741, usercpu_time_millis: 1510.865, usercpu_time_millis_testing: 4.326, usercpu_time_millis_training: 1506.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.7487, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1824.1905, usercpu_time_millis: 1752.07, usercpu_time_millis_testing: 8.089, usercpu_time_millis_training: 1743.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8617, kappa: 0.7256, kb_relative_information_score: 7678.0824, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8786, predictive_accuracy: 0.8615, prior_entropy: 0.9906, recall: 0.8615, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6216, scimark_benchmark: 1808.0424, usercpu_time_millis: 1465.865, usercpu_time_millis_testing: 11.525, usercpu_time_millis_training: 1454.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 9195.4003, 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: 0.1792, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1787.8486, usercpu_time_millis: 1761.719, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 1760.055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8126, kappa: 0.6356, kb_relative_information_score: 6760.0596, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8516, predictive_accuracy: 0.8137, prior_entropy: 0.9906, recall: 0.8137, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7419, scimark_benchmark: 1700.7748, usercpu_time_millis: 1292.856, usercpu_time_millis_testing: 12.965, usercpu_time_millis_training: 1279.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9, kappa: 0.7989, kb_relative_information_score: 8289.7364, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9043, predictive_accuracy: 0.8997, prior_entropy: 0.9906, recall: 0.8997, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.549, scimark_benchmark: 1703.0208, usercpu_time_millis: 1178.446, usercpu_time_millis_testing: 11.78, usercpu_time_millis_training: 1166.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.8408, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1705.2336, usercpu_time_millis: 1506.52, usercpu_time_millis_testing: 6.853, usercpu_time_millis_training: 1499.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8996, kappa: 0.7984, kb_relative_information_score: 8273.5984, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9046, predictive_accuracy: 0.8993, prior_entropy: 0.9906, recall: 0.8993, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5522, scimark_benchmark: 1808.9372, usercpu_time_millis: 1507.06, usercpu_time_millis_testing: 13.291, usercpu_time_millis_training: 1493.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.8099, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1794.2161, usercpu_time_millis: 1537.315, usercpu_time_millis_testing: 7.082, usercpu_time_millis_training: 1530.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.7168, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1815.763, usercpu_time_millis: 1447.551, usercpu_time_millis_testing: 6.752, usercpu_time_millis_training: 1440.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.7168, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1835.7111, usercpu_time_millis: 1380.491, usercpu_time_millis_testing: 7.342, usercpu_time_millis_training: 1373.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7090.7425, mean_absolute_error: 0.1812, 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: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6036, scimark_benchmark: 1833.2039, usercpu_time_millis: 1338.627, usercpu_time_millis_testing: 6.79, usercpu_time_millis_training: 1331.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7062.67, mean_absolute_error: 0.1846, 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: 0.374, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6093, scimark_benchmark: 1820.7092, usercpu_time_millis: 1332.384, usercpu_time_millis_testing: 9.911, usercpu_time_millis_training: 1322.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9381, kappa: 0.8744, kb_relative_information_score: 9193.795, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1838.1861, usercpu_time_millis: 1181.233, usercpu_time_millis_testing: 1.645, usercpu_time_millis_training: 1179.588,

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