OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.96, kappa: 0.9189, kb_relative_information_score: 9581.5382, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9906, recall: 0.96, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3476, scimark_benchmark: 1850.5803, usercpu_time_millis: 45.397, usercpu_time_millis_testing: 2.53, usercpu_time_millis_training: 42.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9571, kappa: 0.913, kb_relative_information_score: 9265.4016, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3719, scimark_benchmark: 1847.8629, usercpu_time_millis: 38.452, usercpu_time_millis_testing: 3.661, usercpu_time_millis_training: 34.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9165, kappa: 0.8307, kb_relative_information_score: 6740.4247, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9165, predictive_accuracy: 0.9165, prior_entropy: 0.9906, recall: 0.9165, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.5485, scimark_benchmark: 1846.8212, usercpu_time_millis: 27.975, usercpu_time_millis_testing: 2.948, usercpu_time_millis_training: 25.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9054, kappa: 0.8078, kb_relative_information_score: 4564.767, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9079, predictive_accuracy: 0.906, prior_entropy: 0.9906, recall: 0.906, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.6892, scimark_benchmark: 1857.1082, usercpu_time_millis: 24.397, usercpu_time_millis_testing: 2.602, usercpu_time_millis_training: 21.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6432.7373, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4692, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5975, scimark_benchmark: 1834.6918, usercpu_time_millis: 21.485, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 19.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9694, kappa: 0.9379, kb_relative_information_score: 9813.6102, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9906, recall: 0.9694, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3071, scimark_benchmark: 1722.2409, usercpu_time_millis: 16.117, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 15.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9247, kappa: 0.847, kb_relative_information_score: 4303.1108, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.929, predictive_accuracy: 0.9254, prior_entropy: 0.9906, recall: 0.9254, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7041, scimark_benchmark: 1733.7613, usercpu_time_millis: 13.321, usercpu_time_millis_testing: 1.283, usercpu_time_millis_training: 12.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9155, kappa: 0.8288, kb_relative_information_score: 8460.0189, mean_absolute_error: 0.1239, 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: 0.251, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.48, scimark_benchmark: 1976.514, usercpu_time_millis: 5.223, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 5.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: -0.3818, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1753.3713, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9214, kappa: 0.8406, kb_relative_information_score: 8317.0486, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9215, predictive_accuracy: 0.9215, prior_entropy: 0.9906, recall: 0.9215, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4752, scimark_benchmark: 1753.7535, usercpu_time_millis: 1.323, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9241, kappa: 0.846, kb_relative_information_score: 8088.5337, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9242, predictive_accuracy: 0.9242, prior_entropy: 0.9906, recall: 0.9242, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4816, scimark_benchmark: 1831.6625, usercpu_time_millis: 2.966, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 2.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: -0.1436, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1731.0996, usercpu_time_millis: 1.144, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.2589, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1846.8212, usercpu_time_millis: 5.264, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 4.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9529, kappa: 0.9045, kb_relative_information_score: 9399.7251, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9529, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.3836, scimark_benchmark: 1967.14, usercpu_time_millis: 3.359, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 3.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9667, kappa: 0.9324, kb_relative_information_score: 9774.4629, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 0.9906, recall: 0.9667, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261, scimark_benchmark: 1957.3423, usercpu_time_millis: 55.762, usercpu_time_millis_testing: 2.259, usercpu_time_millis_training: 53.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9649, kappa: 0.9287, kb_relative_information_score: 8996.0469, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 0.9906, recall: 0.9649, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3625, scimark_benchmark: 1850.9652, usercpu_time_millis: 46.62, usercpu_time_millis_testing: 3.639, usercpu_time_millis_training: 42.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.939, kappa: 0.8762, kb_relative_information_score: 8676.8545, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9391, predictive_accuracy: 0.939, prior_entropy: 0.9906, recall: 0.939, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4364, scimark_benchmark: 1845.3975, usercpu_time_millis: 46.612, usercpu_time_millis_testing: 4.242, usercpu_time_millis_training: 42.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 9714.1074, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9615, predictive_accuracy: 0.9615, prior_entropy: 0.9906, recall: 0.9615, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.3346, scimark_benchmark: 1850.9652, usercpu_time_millis: 30.052, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 28.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9708, kappa: 0.9409, kb_relative_information_score: 9876.4504, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9906, recall: 0.9709, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.152, root_relative_squared_error: 0.306, scimark_benchmark: 1728.8708, usercpu_time_millis: 31.123, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 29.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9642, kappa: 0.9275, kb_relative_information_score: 9620.7931, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9906, recall: 0.9643, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3369, scimark_benchmark: 1829.2164, usercpu_time_millis: 29.565, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 27.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7398.6845, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5504, scimark_benchmark: 1844.9056, usercpu_time_millis: 26.33, usercpu_time_millis_testing: 2.061, usercpu_time_millis_training: 24.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9142, kappa: 0.8262, kb_relative_information_score: 8002.339, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 0.9906, recall: 0.9142, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5068, scimark_benchmark: 1730.6397, usercpu_time_millis: 25.51, usercpu_time_millis_testing: 2.493, usercpu_time_millis_training: 23.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.908, kappa: 0.8137, kb_relative_information_score: 7992.4732, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9081, predictive_accuracy: 0.9079, prior_entropy: 0.9906, recall: 0.9079, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5253, scimark_benchmark: 1841.6688, usercpu_time_millis: 21.016, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 20.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9226.9205, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9906, recall: 0.9545, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3792, scimark_benchmark: 1835.7111, usercpu_time_millis: 20.648, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 19.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9612, kappa: 0.9213, kb_relative_information_score: 8820.6905, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9615, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3788, scimark_benchmark: 1837.1955, usercpu_time_millis: 14.51, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 13.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9198, kappa: 0.8373, kb_relative_information_score: 8572.3187, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9198, predictive_accuracy: 0.9199, prior_entropy: 0.9906, recall: 0.9199, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4708, scimark_benchmark: 1839.7911, usercpu_time_millis: 12.666, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 12.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.926, kappa: 0.8496, kb_relative_information_score: 6704.6673, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9273, predictive_accuracy: 0.9263, prior_entropy: 0.9906, recall: 0.9263, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5451, scimark_benchmark: 1760.6379, usercpu_time_millis: 12.824, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 11.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9687, kappa: 0.9364, kb_relative_information_score: 9773.3624, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9906, recall: 0.9687, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3179, scimark_benchmark: 1817.0134, usercpu_time_millis: 126.696, usercpu_time_millis_testing: 9.001, usercpu_time_millis_training: 117.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9538, kappa: 0.9063, kb_relative_information_score: 9497.6179, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.9906, recall: 0.9538, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3689, scimark_benchmark: 1718.1763, usercpu_time_millis: 77.557, usercpu_time_millis_testing: 3.151, usercpu_time_millis_training: 74.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9515, kappa: 0.9016, kb_relative_information_score: 9207.4912, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.9906, recall: 0.9515, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.3838, scimark_benchmark: 1729.3088, usercpu_time_millis: 43.475, usercpu_time_millis_testing: 3.161, usercpu_time_millis_training: 40.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.917, kappa: 0.8318, kb_relative_information_score: 7731.0967, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.917, predictive_accuracy: 0.9171, prior_entropy: 0.9906, recall: 0.9171, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5052, scimark_benchmark: 1729.6336, usercpu_time_millis: 38.059, usercpu_time_millis_testing: 2.58, usercpu_time_millis_training: 35.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9134, kappa: 0.8244, kb_relative_information_score: 7368.559, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9135, predictive_accuracy: 0.9135, prior_entropy: 0.9906, recall: 0.9135, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5281, scimark_benchmark: 1731.0052, usercpu_time_millis: 31.678, usercpu_time_millis_testing: 2.341, usercpu_time_millis_training: 29.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9168, kappa: 0.8315, kb_relative_information_score: 8062.0337, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9168, predictive_accuracy: 0.9169, prior_entropy: 0.9906, recall: 0.9169, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4878, scimark_benchmark: 1853.9121, usercpu_time_millis: 32.859, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 30.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9351, kappa: 0.8684, kb_relative_information_score: 8617.9133, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9351, predictive_accuracy: 0.9351, prior_entropy: 0.9906, recall: 0.9351, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4448, scimark_benchmark: 1841.1596, usercpu_time_millis: 32.899, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 31.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9155, kappa: 0.8288, kb_relative_information_score: 8130.7282, mean_absolute_error: 0.1424, 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: 0.2886, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4922, scimark_benchmark: 1853.9121, usercpu_time_millis: 29.51, usercpu_time_millis_testing: 2.73, usercpu_time_millis_training: 26.78,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8411, kappa: 0.6798, kb_relative_information_score: 5586.1691, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8768, predictive_accuracy: 0.8473, prior_entropy: 0.9906, recall: 0.8473, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6704, scimark_benchmark: 1851.4874, usercpu_time_millis: 20.885, usercpu_time_millis_testing: 2.622, usercpu_time_millis_training: 18.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9685, kappa: 0.9361, kb_relative_information_score: 9849.1, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9686, predictive_accuracy: 0.9685, prior_entropy: 0.9906, recall: 0.9685, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3142, scimark_benchmark: 1852.3186, usercpu_time_millis: 18.912, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 18.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9598, kappa: 0.9185, kb_relative_information_score: 9619.601, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9906, recall: 0.9598, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3423, scimark_benchmark: 1839.7911, usercpu_time_millis: 18.933, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 17.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6043.5932, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6066, scimark_benchmark: 1834.2328, usercpu_time_millis: 18.259, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 16.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9203, kappa: 0.8383, kb_relative_information_score: 8605.9282, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9204, predictive_accuracy: 0.9204, prior_entropy: 0.9906, recall: 0.9204, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4652, scimark_benchmark: 1844.2676, usercpu_time_millis: 12.455, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 12.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: 0.0572, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1718.2275, usercpu_time_millis: 8.484, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 7.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9608, kappa: 0.9206, kb_relative_information_score: 9663.4251, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 0.9906, recall: 0.9608, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3407, scimark_benchmark: 1834.6918, usercpu_time_millis: 6.254, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 6.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9279, kappa: 0.8536, kb_relative_information_score: 6547.8827, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9285, predictive_accuracy: 0.9281, prior_entropy: 0.9906, recall: 0.9281, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5517, scimark_benchmark: 1849.408, usercpu_time_millis: 6.716, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 6.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.936, kappa: 0.8703, kb_relative_information_score: 8860.5346, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.936, predictive_accuracy: 0.936, prior_entropy: 0.9906, recall: 0.936, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4427, scimark_benchmark: 1853.9121, usercpu_time_millis: 81.522, usercpu_time_millis_testing: 3.513, usercpu_time_millis_training: 78.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9694, kappa: 0.9379, kb_relative_information_score: 9830.8085, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9906, recall: 0.9694, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3115, scimark_benchmark: 1761.1631, usercpu_time_millis: 88.373, usercpu_time_millis_testing: 5.825, usercpu_time_millis_training: 82.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.927, kappa: 0.8518, kb_relative_information_score: 8673.8101, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9276, predictive_accuracy: 0.9272, prior_entropy: 0.9906, recall: 0.9272, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.228, root_relative_squared_error: 0.459, scimark_benchmark: 1850.2875, usercpu_time_millis: 61.833, usercpu_time_millis_testing: 3.299, usercpu_time_millis_training: 58.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.957, kappa: 0.9128, kb_relative_information_score: 9248.2065, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9571, predictive_accuracy: 0.957, prior_entropy: 0.9906, recall: 0.957, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3688, scimark_benchmark: 1856.5802, usercpu_time_millis: 58.935, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 54.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9547, kappa: 0.9081, kb_relative_information_score: 9269.4708, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 0.9906, recall: 0.9547, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3802, scimark_benchmark: 1848.2024, usercpu_time_millis: 55.486, usercpu_time_millis_testing: 3.284, usercpu_time_millis_training: 52.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.956, kappa: 0.9109, kb_relative_information_score: 9451.6335, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.9906, recall: 0.956, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3683, scimark_benchmark: 1855.5541, usercpu_time_millis: 53.599, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 51.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9593, kappa: 0.9175, kb_relative_information_score: 9582.6332, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9593, prior_entropy: 0.9906, recall: 0.9593, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3484, scimark_benchmark: 1855.4813, usercpu_time_millis: 45.858, usercpu_time_millis_testing: 1.954, usercpu_time_millis_training: 43.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7917.6342, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5207, scimark_benchmark: 1853.3841, usercpu_time_millis: 41.171, usercpu_time_millis_testing: 2.662, usercpu_time_millis_training: 38.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7997.0842, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5244, scimark_benchmark: 1851.3287, usercpu_time_millis: 37.783, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 35.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9506, kappa: 0.8999, kb_relative_information_score: 8960.1296, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9508, predictive_accuracy: 0.9507, prior_entropy: 0.9906, recall: 0.9507, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3985, scimark_benchmark: 1753.653, usercpu_time_millis: 62.557, usercpu_time_millis_testing: 5.52, usercpu_time_millis_training: 57.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8117.2468, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5239, scimark_benchmark: 1857.1082, usercpu_time_millis: 35.583, usercpu_time_millis_testing: 2.449, usercpu_time_millis_training: 33.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9447, kappa: 0.8878, kb_relative_information_score: 9192.4479, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9447, predictive_accuracy: 0.9447, prior_entropy: 0.9906, recall: 0.9447, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4043, scimark_benchmark: 1855.0232, usercpu_time_millis: 34.38, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 33.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9574, kappa: 0.9136, kb_relative_information_score: 9540.0597, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9906, recall: 0.9574, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3533, scimark_benchmark: 1845.9137, usercpu_time_millis: 28.201, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 27.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9255, kappa: 0.8489, kb_relative_information_score: 8754.0259, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9255, predictive_accuracy: 0.9256, prior_entropy: 0.9906, recall: 0.9256, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.462, scimark_benchmark: 1850.3603, usercpu_time_millis: 27.183, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 26.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9412, kappa: 0.8806, kb_relative_information_score: 7571.5089, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.942, predictive_accuracy: 0.9414, prior_entropy: 0.9906, recall: 0.9414, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4785, scimark_benchmark: 1854.1098, usercpu_time_millis: 23.278, usercpu_time_millis_testing: 3.288, usercpu_time_millis_training: 19.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9656, kappa: 0.9302, kb_relative_information_score: 9178.7999, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9657, predictive_accuracy: 0.9656, prior_entropy: 0.9906, recall: 0.9656, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3494, scimark_benchmark: 1846.5429, usercpu_time_millis: 18.53, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 17.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9714, kappa: 0.942, kb_relative_information_score: 10020.7433, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9715, predictive_accuracy: 0.9714, prior_entropy: 0.9906, recall: 0.9714, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.2947, scimark_benchmark: 1859.5273, usercpu_time_millis: 39.813, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 37.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7971.4991, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5415, scimark_benchmark: 1850.2875, usercpu_time_millis: 10.415, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 9.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9339, kappa: 0.8661, kb_relative_information_score: 8905.9142, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9339, predictive_accuracy: 0.9339, prior_entropy: 0.9906, recall: 0.9339, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4451, scimark_benchmark: 1857.5008, usercpu_time_millis: 38.957, usercpu_time_millis_testing: 1.587, usercpu_time_millis_training: 37.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 7076.5323, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6326, scimark_benchmark: 1754.249, usercpu_time_millis: 15.194, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 13.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9533, kappa: 0.9051, kb_relative_information_score: 7448.2593, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.954, predictive_accuracy: 0.9534, prior_entropy: 0.9906, recall: 0.9534, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4736, scimark_benchmark: 1760.0762, usercpu_time_millis: 36.58, usercpu_time_millis_testing: 2.932, usercpu_time_millis_training: 33.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9717, kappa: 0.9425, kb_relative_information_score: 10010.8071, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.9906, recall: 0.9717, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.146, root_relative_squared_error: 0.294, scimark_benchmark: 1756.6448, usercpu_time_millis: 34.981, usercpu_time_millis_testing: 1.691, usercpu_time_millis_training: 33.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.933, kappa: 0.8638, kb_relative_information_score: 5587.6429, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.935, predictive_accuracy: 0.9333, prior_entropy: 0.9906, recall: 0.9333, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.305, root_relative_squared_error: 0.614, scimark_benchmark: 1853.454, usercpu_time_millis: 6.332, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 5.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9467, kappa: 0.8918, kb_relative_information_score: 7262.6304, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9476, predictive_accuracy: 0.9469, prior_entropy: 0.9906, recall: 0.9469, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.4928, scimark_benchmark: 1851.8567, usercpu_time_millis: 2.433, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 2.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.922, kappa: 0.8415, kb_relative_information_score: 7103.6473, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9227, predictive_accuracy: 0.9222, prior_entropy: 0.9906, recall: 0.9222, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5266, scimark_benchmark: 1923.2844, usercpu_time_millis: 32.037, usercpu_time_millis_testing: 3.425, usercpu_time_millis_training: 28.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9552, kappa: 0.9092, kb_relative_information_score: 9426, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9906, recall: 0.9552, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3723, scimark_benchmark: 1911.2376, usercpu_time_millis: 25.527, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 24.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.3962, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1923.7685, usercpu_time_millis: 19.774, usercpu_time_millis_testing: 2.137, usercpu_time_millis_training: 17.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9013, kappa: 0.8, kb_relative_information_score: 7233.7712, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9013, predictive_accuracy: 0.9013, prior_entropy: 0.9906, recall: 0.9013, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5471, scimark_benchmark: 1763.1594, usercpu_time_millis: 11.979, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 11.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9592, kappa: 0.9172, kb_relative_information_score: 9474.2182, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3537, scimark_benchmark: 1862.82, usercpu_time_millis: 73.637, usercpu_time_millis_testing: 7.144, usercpu_time_millis_training: 66.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9559, kappa: 0.9105, kb_relative_information_score: 7658.5819, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 0.9906, recall: 0.956, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4562, scimark_benchmark: 2045.3733, usercpu_time_millis: 17.424, usercpu_time_millis_testing: 1.761, usercpu_time_millis_training: 15.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.951, kappa: 0.9007, kb_relative_information_score: 9079.1654, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9906, recall: 0.9511, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3927, scimark_benchmark: 2011.1863, usercpu_time_millis: 19.975, usercpu_time_millis_testing: 1.76, usercpu_time_millis_training: 18.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.933, kappa: 0.8641, kb_relative_information_score: 8483.9956, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4498, scimark_benchmark: 1937.0067, usercpu_time_millis: 26.595, usercpu_time_millis_testing: 2.188, usercpu_time_millis_training: 24.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9416, kappa: 0.8816, kb_relative_information_score: 8808.1876, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.9906, recall: 0.9417, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4285, scimark_benchmark: 2013.6423, usercpu_time_millis: 16.675, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 15.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8050.3992, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5247, scimark_benchmark: 2021.5753, usercpu_time_millis: 20.277, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 19.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8541, kappa: 0.7052, kb_relative_information_score: 2082.5245, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8823, predictive_accuracy: 0.8589, prior_entropy: 0.9906, recall: 0.8589, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.863, scimark_benchmark: 1802.5026, usercpu_time_millis: 15.068, usercpu_time_millis_testing: 1.913, usercpu_time_millis_training: 13.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.913, kappa: 0.8232, kb_relative_information_score: 3565.3605, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9201, predictive_accuracy: 0.9141, prior_entropy: 0.9906, recall: 0.9141, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7581, scimark_benchmark: 1934.8673, usercpu_time_millis: 8.555, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 7.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: 0.2879, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 15.785, usercpu_time_millis_testing: 1.916, usercpu_time_millis_training: 13.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 7062.4106, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6063, scimark_benchmark: 2006.8737, usercpu_time_millis: 17.066, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 15.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: -0.6425, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1862.5086, usercpu_time_millis: 2.816, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9368, kappa: 0.872, kb_relative_information_score: 8888.4616, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 0.9906, recall: 0.9368, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4427, scimark_benchmark: 1860.7373, usercpu_time_millis: 2.88, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9415, kappa: 0.8815, kb_relative_information_score: 9078.3012, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9415, predictive_accuracy: 0.9416, prior_entropy: 0.9906, recall: 0.9416, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4161, scimark_benchmark: 1941.8016, usercpu_time_millis: 15.222, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 14.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.959, kappa: 0.9169, kb_relative_information_score: 9567.5025, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 0.9906, recall: 0.959, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3511, scimark_benchmark: 1884.7301, usercpu_time_millis: 73.971, usercpu_time_millis_testing: 3.776, usercpu_time_millis_training: 70.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9575, kappa: 0.9139, kb_relative_information_score: 9432.7664, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9906, recall: 0.9576, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3601, scimark_benchmark: 1971.7489, usercpu_time_millis: 50.218, usercpu_time_millis_testing: 3.558, usercpu_time_millis_training: 46.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9392, kappa: 0.8766, kb_relative_information_score: 7771.4204, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9399, predictive_accuracy: 0.9394, prior_entropy: 0.9906, recall: 0.9394, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4709, scimark_benchmark: 1965.7949, usercpu_time_millis: 49.527, usercpu_time_millis_testing: 4.133, usercpu_time_millis_training: 45.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9162, kappa: 0.83, kb_relative_information_score: 7674.3283, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 0.9906, recall: 0.9162, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5074, scimark_benchmark: 1844.2408, usercpu_time_millis: 26.769, usercpu_time_millis_testing: 2.559, usercpu_time_millis_training: 24.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9521, kappa: 0.903, kb_relative_information_score: 9338.2879, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9906, recall: 0.9521, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3807, scimark_benchmark: 1903.9656, usercpu_time_millis: 89.12, usercpu_time_millis_testing: 5.138, usercpu_time_millis_training: 83.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9361, kappa: 0.8706, kb_relative_information_score: 8837.1282, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9362, predictive_accuracy: 0.936, prior_entropy: 0.9906, recall: 0.936, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.442, scimark_benchmark: 1992.5688, usercpu_time_millis: 75.072, usercpu_time_millis_testing: 3.425, usercpu_time_millis_training: 71.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9143, kappa: 0.8264, kb_relative_information_score: 8497.3443, mean_absolute_error: 0.121, 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: 0.2451, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4832, scimark_benchmark: 2084.8834, usercpu_time_millis: 75.818, usercpu_time_millis_testing: 2.87, usercpu_time_millis_training: 72.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9464, kappa: 0.8913, kb_relative_information_score: 9166.9276, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9464, predictive_accuracy: 0.9465, prior_entropy: 0.9906, recall: 0.9465, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4018, scimark_benchmark: 1983.3406, usercpu_time_millis: 56.21, usercpu_time_millis_testing: 4.097, usercpu_time_millis_training: 52.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9316, kappa: 0.8612, kb_relative_information_score: 8734.1093, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9318, predictive_accuracy: 0.9317, prior_entropy: 0.9906, recall: 0.9317, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4495, scimark_benchmark: 1768.2765, usercpu_time_millis: 58.027, usercpu_time_millis_testing: 4.276, usercpu_time_millis_training: 53.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9142, kappa: 0.8262, kb_relative_information_score: 8398.1471, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 0.9906, recall: 0.9142, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4984, scimark_benchmark: 1948.9803, usercpu_time_millis: 57.365, usercpu_time_millis_testing: 2.493, usercpu_time_millis_training: 54.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9361, kappa: 0.8704, kb_relative_information_score: 8624.928, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9361, predictive_accuracy: 0.9361, prior_entropy: 0.9906, recall: 0.9361, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4438, scimark_benchmark: 2025.4778, usercpu_time_millis: 13.896, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 13.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9718, kappa: 0.9429, kb_relative_information_score: 10187.0538, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9906, recall: 0.9719, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2822, scimark_benchmark: 1938.9919, usercpu_time_millis: 25.612, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 24.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8411, kappa: 0.6798, kb_relative_information_score: 4776.4564, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8768, predictive_accuracy: 0.8473, prior_entropy: 0.9906, recall: 0.8473, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6904, scimark_benchmark: 1768.769, usercpu_time_millis: 23.461, usercpu_time_millis_testing: 2.655, usercpu_time_millis_training: 20.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6970.3546, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6116, scimark_benchmark: 1897.4802, usercpu_time_millis: 22.196, usercpu_time_millis_testing: 2.361, usercpu_time_millis_training: 19.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.919, kappa: 0.8358, kb_relative_information_score: 6999.5412, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.919, predictive_accuracy: 0.919, prior_entropy: 0.9906, recall: 0.919, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5334, scimark_benchmark: 1776.7534, usercpu_time_millis: 16.832, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 15.731,

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