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: 0.9807, f_measure: 0.9194, kappa: 0.8366, kb_relative_information_score: 8476.5301, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9194, predictive_accuracy: 0.9195, prior_entropy: 0.9906, recall: 0.9195, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4708, scimark_benchmark: 1737.8652, usercpu_time_millis: 60.405, usercpu_time_millis_testing: 2.565, usercpu_time_millis_training: 57.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9546, kappa: 0.9079, kb_relative_information_score: 9281.9411, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.9906, recall: 0.9546, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3825, scimark_benchmark: 1720.4488, usercpu_time_millis: 52.275, usercpu_time_millis_testing: 3.765, usercpu_time_millis_training: 48.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9427, kappa: 0.8838, kb_relative_information_score: 8997.9959, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9906, recall: 0.9427, relative_absolute_error: 0.2014, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.4201, scimark_benchmark: 1736.9559, usercpu_time_millis: 33.108, usercpu_time_millis_testing: 2.605, usercpu_time_millis_training: 30.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9442, kappa: 0.8869, kb_relative_information_score: 9014.0703, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9443, predictive_accuracy: 0.9443, prior_entropy: 0.9906, recall: 0.9443, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4123, scimark_benchmark: 1729.8402, usercpu_time_millis: 22.919, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 21.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: 0.2404, 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: 1733.3606, usercpu_time_millis: 21.719, usercpu_time_millis_testing: 2.104, usercpu_time_millis_training: 19.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: 0.1669, 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: 1734.6706, usercpu_time_millis: 14.791, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 13.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3985, kb_relative_information_score: 0.1226, 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: 1741.2759, usercpu_time_millis: 14.377, usercpu_time_millis_testing: 1.754, usercpu_time_millis_training: 12.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9666, kappa: 0.9322, kb_relative_information_score: 9217.3758, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9667, predictive_accuracy: 0.9666, prior_entropy: 0.9906, recall: 0.9666, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3462, scimark_benchmark: 1429.2427, usercpu_time_millis: 91, usercpu_time_millis_testing: 8.76, usercpu_time_millis_training: 82.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9578, kappa: 0.9143, kb_relative_information_score: 8602.4685, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9581, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.3991, scimark_benchmark: 1447.2036, usercpu_time_millis: 42.13, usercpu_time_millis_testing: 3.06, usercpu_time_millis_training: 39.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9332, kappa: 0.8644, kb_relative_information_score: 7472.0246, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9336, predictive_accuracy: 0.9333, prior_entropy: 0.9906, recall: 0.9333, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.493, scimark_benchmark: 1404.5487, usercpu_time_millis: 35.6, usercpu_time_millis_testing: 2.42, usercpu_time_millis_training: 33.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9241, kappa: 0.8458, kb_relative_information_score: 5937.223, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9264, predictive_accuracy: 0.9246, prior_entropy: 0.9906, recall: 0.9246, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.5942, scimark_benchmark: 1405.6425, usercpu_time_millis: 10.12, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 9.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9369, kappa: 0.8718, kb_relative_information_score: 7139.7159, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9375, predictive_accuracy: 0.937, prior_entropy: 0.9906, recall: 0.937, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5094, scimark_benchmark: 1309.7128, usercpu_time_millis: 45.77, usercpu_time_millis_testing: 4.19, usercpu_time_millis_training: 41.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9209, kappa: 0.8392, kb_relative_information_score: 4355.8259, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.925, predictive_accuracy: 0.9216, prior_entropy: 0.9906, recall: 0.9216, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.701, scimark_benchmark: 1441.163, usercpu_time_millis: 4.19, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 3.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9491, kappa: 0.8967, kb_relative_information_score: 7404.7132, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9498, predictive_accuracy: 0.9493, prior_entropy: 0.9906, recall: 0.9493, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4803, scimark_benchmark: 1373.6575, usercpu_time_millis: 87.45, usercpu_time_millis_testing: 7.56, usercpu_time_millis_training: 79.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9677, kappa: 0.9344, kb_relative_information_score: 9301.6417, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9678, predictive_accuracy: 0.9677, prior_entropy: 0.9906, recall: 0.9677, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3379, scimark_benchmark: 1413.8772, usercpu_time_millis: 43.26, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 40.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9149, kappa: 0.827, kb_relative_information_score: 5037.9476, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9189, predictive_accuracy: 0.9156, prior_entropy: 0.9906, recall: 0.9156, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6574, scimark_benchmark: 1434.5017, usercpu_time_millis: 37.34, usercpu_time_millis_testing: 3.96, usercpu_time_millis_training: 33.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9382, kappa: 0.8745, kb_relative_information_score: 6540.7806, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9385, prior_entropy: 0.9906, recall: 0.9385, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5463, scimark_benchmark: 1415.0795, usercpu_time_millis: 54.4, usercpu_time_millis_testing: 4.77, usercpu_time_millis_training: 49.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9649, kappa: 0.9289, kb_relative_information_score: 8895.7711, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 0.9906, recall: 0.965, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3661, scimark_benchmark: 1418.3418, usercpu_time_millis: 158.24, usercpu_time_millis_testing: 12.65, usercpu_time_millis_training: 145.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9483, kappa: 0.895, kb_relative_information_score: 7406.5337, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9491, predictive_accuracy: 0.9484, prior_entropy: 0.9906, recall: 0.9484, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4806, scimark_benchmark: 1415.5643, usercpu_time_millis: 92.15, usercpu_time_millis_testing: 8.7, usercpu_time_millis_training: 83.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.915, kappa: 0.8273, kb_relative_information_score: 3698.7919, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9215, predictive_accuracy: 0.916, prior_entropy: 0.9906, recall: 0.916, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7483, scimark_benchmark: 1470.1139, usercpu_time_millis: 52.07, usercpu_time_millis_testing: 5.96, usercpu_time_millis_training: 46.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9571, kappa: 0.9129, kb_relative_information_score: 8896.3998, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.3854, scimark_benchmark: 1408.5138, usercpu_time_millis: 24.2, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 22.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9657, kappa: 0.9304, kb_relative_information_score: 9347.8196, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 0.9906, recall: 0.9657, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3406, scimark_benchmark: 1408.2339, usercpu_time_millis: 117.12, usercpu_time_millis_testing: 8.28, usercpu_time_millis_training: 108.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9503, kappa: 0.8991, kb_relative_information_score: 7508.737, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.951, predictive_accuracy: 0.9504, prior_entropy: 0.9906, recall: 0.9504, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4723, scimark_benchmark: 1360.1217, usercpu_time_millis: 96.07, usercpu_time_millis_testing: 9.33, usercpu_time_millis_training: 86.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9259, kappa: 0.8496, kb_relative_information_score: 7220.2968, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9261, predictive_accuracy: 0.926, prior_entropy: 0.9906, recall: 0.926, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5134, scimark_benchmark: 1446.4499, usercpu_time_millis: 32.34, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 29.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 8273.1405, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9398, predictive_accuracy: 0.9396, prior_entropy: 0.9906, recall: 0.9396, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4445, scimark_benchmark: 1406.4113, usercpu_time_millis: 27.08, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 25.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9634, kappa: 0.9258, kb_relative_information_score: 8967.3512, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9636, predictive_accuracy: 0.9635, prior_entropy: 0.9906, recall: 0.9635, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3719, scimark_benchmark: 1361.6517, usercpu_time_millis: 5.42, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 5.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9145, kappa: 0.8261, kb_relative_information_score: 4004.3304, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9202, predictive_accuracy: 0.9153, prior_entropy: 0.9906, recall: 0.9153, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7267, scimark_benchmark: 1454.551, usercpu_time_millis: 8.12, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 7.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.936, kappa: 0.87, kb_relative_information_score: 5928.5326, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9377, predictive_accuracy: 0.9363, prior_entropy: 0.9906, recall: 0.9363, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5894, scimark_benchmark: 1454.6171, usercpu_time_millis: 49.83, usercpu_time_millis_testing: 5.31, usercpu_time_millis_training: 44.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9516, kappa: 0.9018, kb_relative_information_score: 7600.4626, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9524, predictive_accuracy: 0.9518, prior_entropy: 0.9906, recall: 0.9518, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4645, scimark_benchmark: 1383.3737, usercpu_time_millis: 45.6, usercpu_time_millis_testing: 4.31, usercpu_time_millis_training: 41.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9293, kappa: 0.8565, kb_relative_information_score: 6780.9829, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9297, predictive_accuracy: 0.9294, prior_entropy: 0.9906, recall: 0.9294, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5374, scimark_benchmark: 1435.9051, usercpu_time_millis: 15.62, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 14.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9493, kappa: 0.8971, kb_relative_information_score: 8218.1176, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9498, predictive_accuracy: 0.9494, prior_entropy: 0.9906, recall: 0.9494, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4324, scimark_benchmark: 1411.3637, usercpu_time_millis: 9.8, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 9.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8881, kappa: 0.7728, kb_relative_information_score: 2795.0995, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9025, predictive_accuracy: 0.8903, prior_entropy: 0.9906, recall: 0.8903, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8131, scimark_benchmark: 1371.08, usercpu_time_millis: 13.58, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 12.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9577, kappa: 0.9141, kb_relative_information_score: 8467.8971, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4051, scimark_benchmark: 1402.8081, usercpu_time_millis: 8.24, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 7.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: 0.2116, 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: 1388.4361, usercpu_time_millis: 19.89, usercpu_time_millis_testing: 2.33, usercpu_time_millis_training: 17.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9306, kappa: 0.8591, kb_relative_information_score: 5976.1022, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9325, predictive_accuracy: 0.931, prior_entropy: 0.9906, recall: 0.931, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.292, root_relative_squared_error: 0.5878, scimark_benchmark: 1455.7823, usercpu_time_millis: 43.24, usercpu_time_millis_testing: 4.55, usercpu_time_millis_training: 38.69,
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: 0.9904, f_measure: 0.9469, kappa: 0.8923, kb_relative_information_score: 8611.5001, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9471, predictive_accuracy: 0.947, prior_entropy: 0.9906, recall: 0.947, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4174, scimark_benchmark: 1392.0676, usercpu_time_millis: 62.35, usercpu_time_millis_testing: 6.13, usercpu_time_millis_training: 56.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9168, kappa: 0.831, kb_relative_information_score: 6213.3592, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9184, predictive_accuracy: 0.9172, prior_entropy: 0.9906, recall: 0.9172, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5801, scimark_benchmark: 1377.0169, usercpu_time_millis: 20.05, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 18.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9252, kappa: 0.8481, kb_relative_information_score: 6107.7385, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9272, predictive_accuracy: 0.9256, prior_entropy: 0.9906, recall: 0.9256, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.5826, scimark_benchmark: 1389.258, usercpu_time_millis: 18.22, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 16.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9378, kappa: 0.8738, kb_relative_information_score: 7622.1459, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9387, predictive_accuracy: 0.938, prior_entropy: 0.9906, recall: 0.938, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4817, scimark_benchmark: 1368.3166, usercpu_time_millis: 28.42, usercpu_time_millis_testing: 3.42, usercpu_time_millis_training: 25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.945, kappa: 0.8884, kb_relative_information_score: 7955.255, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9456, predictive_accuracy: 0.9452, prior_entropy: 0.9906, recall: 0.9452, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.452, scimark_benchmark: 1415.0094, usercpu_time_millis: 49.88, usercpu_time_millis_testing: 4.62, usercpu_time_millis_training: 45.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.933, kappa: 0.864, kb_relative_information_score: 7589.3681, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9339, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.4904, scimark_benchmark: 1381.2956, usercpu_time_millis: 59.4, usercpu_time_millis_testing: 4.82, usercpu_time_millis_training: 54.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 7784.5057, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9543, predictive_accuracy: 0.9538, prior_entropy: 0.9906, recall: 0.9538, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4491, scimark_benchmark: 1348.9738, usercpu_time_millis: 84.4, usercpu_time_millis_testing: 7.54, usercpu_time_millis_training: 76.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.5634, 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: 1376.6425, usercpu_time_millis: 4.19, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 3.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8651, kappa: 0.7265, kb_relative_information_score: 2642.422, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.884, predictive_accuracy: 0.8684, prior_entropy: 0.9906, recall: 0.8684, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8249, scimark_benchmark: 1433.3251, usercpu_time_millis: 4.71, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 4.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9422, kappa: 0.8826, kb_relative_information_score: 8198.8558, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9426, predictive_accuracy: 0.9423, prior_entropy: 0.9906, recall: 0.9423, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.4458, scimark_benchmark: 1402.3882, usercpu_time_millis: 48.87, usercpu_time_millis_testing: 3.25, usercpu_time_millis_training: 45.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9139, kappa: 0.825, kb_relative_information_score: 6014.1733, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9158, predictive_accuracy: 0.9143, prior_entropy: 0.9906, recall: 0.9143, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5932, scimark_benchmark: 1339.7492, usercpu_time_millis: 35.54, usercpu_time_millis_testing: 3.83, usercpu_time_millis_training: 31.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.965, kappa: 0.9291, kb_relative_information_score: 9295.308, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.9906, recall: 0.9651, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3442, scimark_benchmark: 1388.3381, usercpu_time_millis: 98.38, usercpu_time_millis_testing: 8.63, usercpu_time_millis_training: 89.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9518, kappa: 0.9022, kb_relative_information_score: 7677.4674, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 0.9906, recall: 0.952, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4579, scimark_benchmark: 1511.8165, usercpu_time_millis: 43.99, usercpu_time_millis_testing: 3.61, usercpu_time_millis_training: 40.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8267, kappa: 0.651, kb_relative_information_score: 2058.2052, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8632, predictive_accuracy: 0.8337, prior_entropy: 0.9906, recall: 0.8337, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8651, scimark_benchmark: 1358.5007, usercpu_time_millis: 20.76, usercpu_time_millis_testing: 2.86, usercpu_time_millis_training: 17.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.9893, 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: 0.9999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1, scimark_benchmark: 1482.1832, usercpu_time_millis: 3.53, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 3.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9342, kappa: 0.8664, kb_relative_information_score: 6757.993, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9349, predictive_accuracy: 0.9344, prior_entropy: 0.9906, recall: 0.9344, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.535, scimark_benchmark: 1353.9609, usercpu_time_millis: 27.38, usercpu_time_millis_testing: 2.42, usercpu_time_millis_training: 24.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8974, kappa: 0.7916, kb_relative_information_score: 3676.4012, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9071, predictive_accuracy: 0.899, prior_entropy: 0.9906, recall: 0.899, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7521, scimark_benchmark: 1369.3068, usercpu_time_millis: 21.05, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 19.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9388, kappa: 0.8758, kb_relative_information_score: 7650.539, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.939, prior_entropy: 0.9906, recall: 0.939, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4797, scimark_benchmark: 1426.4121, usercpu_time_millis: 17.14, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 16.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9233, kappa: 0.8443, kb_relative_information_score: 6784.4875, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.9906, recall: 0.9234, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5404, scimark_benchmark: 1443.5365, usercpu_time_millis: 8.27, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 7.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9237, kappa: 0.8449, kb_relative_information_score: 5362.5231, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9265, predictive_accuracy: 0.9242, prior_entropy: 0.9906, recall: 0.9242, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6327, scimark_benchmark: 1402.4121, usercpu_time_millis: 45, usercpu_time_millis_testing: 4.61, usercpu_time_millis_training: 40.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9704, kappa: 0.94, kb_relative_information_score: 9476.9584, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 0.9906, recall: 0.9704, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3218, scimark_benchmark: 1410.7847, usercpu_time_millis: 100.07, usercpu_time_millis_testing: 7.07, usercpu_time_millis_training: 93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.951, kappa: 0.9005, kb_relative_information_score: 8452.5003, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9514, predictive_accuracy: 0.9511, prior_entropy: 0.9906, recall: 0.9511, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4171, scimark_benchmark: 1404.9033, usercpu_time_millis: 91.53, usercpu_time_millis_testing: 7.91, usercpu_time_millis_training: 83.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9295, kappa: 0.8568, kb_relative_information_score: 4454.1962, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9333, predictive_accuracy: 0.9301, prior_entropy: 0.9906, recall: 0.9301, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.692, scimark_benchmark: 1428.4541, usercpu_time_millis: 36.89, usercpu_time_millis_testing: 3.97, usercpu_time_millis_training: 32.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.886, kappa: 0.7686, kb_relative_information_score: 3242.8399, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8997, predictive_accuracy: 0.8882, prior_entropy: 0.9906, recall: 0.8882, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7826, scimark_benchmark: 1436.3362, usercpu_time_millis: 21.81, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 19.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9547, kappa: 0.9081, kb_relative_information_score: 7798.9137, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9554, predictive_accuracy: 0.9549, prior_entropy: 0.9906, recall: 0.9549, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4473, scimark_benchmark: 1407.2493, usercpu_time_millis: 90.55, usercpu_time_millis_testing: 8.79, usercpu_time_millis_training: 81.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9692, kappa: 0.9376, kb_relative_information_score: 9378.814, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.331, scimark_benchmark: 1367.3897, usercpu_time_millis: 45.37, usercpu_time_millis_testing: 2.95, usercpu_time_millis_training: 42.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9185, kappa: 0.8342, kb_relative_information_score: 4159.6231, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9234, predictive_accuracy: 0.9192, prior_entropy: 0.9906, recall: 0.9192, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7151, scimark_benchmark: 1401.3857, usercpu_time_millis: 13.34, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 12.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.879, kappa: 0.7545, kb_relative_information_score: 2503.5645, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.896, predictive_accuracy: 0.8817, prior_entropy: 0.9906, recall: 0.8817, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8338, scimark_benchmark: 1398.368, usercpu_time_millis: 18.06, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 16.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9347, kappa: 0.8675, kb_relative_information_score: 7373.7082, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9356, predictive_accuracy: 0.935, prior_entropy: 0.9906, recall: 0.935, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.4996, scimark_benchmark: 1406.1782, usercpu_time_millis: 28.28, usercpu_time_millis_testing: 2.6, usercpu_time_millis_training: 25.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.932, kappa: 0.8619, kb_relative_information_score: 5251.7994, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9345, predictive_accuracy: 0.9324, prior_entropy: 0.9906, recall: 0.9324, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6378, scimark_benchmark: 1416.4105, usercpu_time_millis: 27.23, usercpu_time_millis_testing: 3.08, usercpu_time_millis_training: 24.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9309, kappa: 0.8596, kb_relative_information_score: 6648.4219, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9322, predictive_accuracy: 0.9312, prior_entropy: 0.9906, recall: 0.9312, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5452, scimark_benchmark: 1344.1182, usercpu_time_millis: 8.84, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9587, kappa: 0.9161, kb_relative_information_score: 8501.9251, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9591, predictive_accuracy: 0.9588, prior_entropy: 0.9906, recall: 0.9588, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4025, scimark_benchmark: 1409.297, usercpu_time_millis: 6.63, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 6.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9338, kappa: 0.8654, kb_relative_information_score: 4607.6482, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9371, predictive_accuracy: 0.9342, prior_entropy: 0.9906, recall: 0.9342, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6803, scimark_benchmark: 1312.6872, usercpu_time_millis: 22.94, usercpu_time_millis_testing: 2.17, usercpu_time_millis_training: 20.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9459, kappa: 0.8901, kb_relative_information_score: 7917.7743, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9464, predictive_accuracy: 0.946, prior_entropy: 0.9906, recall: 0.946, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4547, scimark_benchmark: 1414.1909, usercpu_time_millis: 84.37, usercpu_time_millis_testing: 7.97, usercpu_time_millis_training: 76.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9506, kappa: 0.8998, kb_relative_information_score: 8623.9584, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9509, predictive_accuracy: 0.9507, prior_entropy: 0.9906, recall: 0.9507, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4103, scimark_benchmark: 1389.6161, usercpu_time_millis: 48.82, usercpu_time_millis_testing: 3.36, usercpu_time_millis_training: 45.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.966, kappa: 0.931, kb_relative_information_score: 9329.8178, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.9906, recall: 0.966, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3408, scimark_benchmark: 1259.8556, usercpu_time_millis: 159.5, usercpu_time_millis_testing: 12.04, usercpu_time_millis_training: 147.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9463, kappa: 0.891, kb_relative_information_score: 8231.1226, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9468, predictive_accuracy: 0.9465, prior_entropy: 0.9906, recall: 0.9465, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4356, scimark_benchmark: 1324.2191, usercpu_time_millis: 56.33, usercpu_time_millis_testing: 5.19, usercpu_time_millis_training: 51.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.933, kappa: 0.864, kb_relative_information_score: 7248.2284, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9334, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5075, scimark_benchmark: 1415.6911, usercpu_time_millis: 20.77, usercpu_time_millis_testing: 1.88, usercpu_time_millis_training: 18.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9691, kappa: 0.9374, kb_relative_information_score: 9509.2048, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3243, scimark_benchmark: 1377.5838, usercpu_time_millis: 22.7, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 21.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9453, kappa: 0.889, kb_relative_information_score: 7106.4746, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9464, predictive_accuracy: 0.9455, prior_entropy: 0.9906, recall: 0.9455, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5022, scimark_benchmark: 1160.5417, usercpu_time_millis: 66.11, usercpu_time_millis_testing: 7.29, usercpu_time_millis_training: 58.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9099, kappa: 0.8169, kb_relative_information_score: 5071.9784, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9136, predictive_accuracy: 0.9106, prior_entropy: 0.9906, recall: 0.9106, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6553, scimark_benchmark: 1296.6643, usercpu_time_millis: 5.9, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 5.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9558, kappa: 0.9103, kb_relative_information_score: 7897.2152, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9565, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4391, scimark_benchmark: 1302.5833, usercpu_time_millis: 151.42, usercpu_time_millis_testing: 12.19, usercpu_time_millis_training: 139.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9266, kappa: 0.8508, kb_relative_information_score: 4269.4878, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9306, predictive_accuracy: 0.9272, prior_entropy: 0.9906, recall: 0.9272, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7058, scimark_benchmark: 1173.3589, usercpu_time_millis: 61.84, usercpu_time_millis_testing: 6.88, usercpu_time_millis_training: 54.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9581, kappa: 0.915, kb_relative_information_score: 8604.6089, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9585, predictive_accuracy: 0.9582, prior_entropy: 0.9906, recall: 0.9582, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.3988, scimark_benchmark: 1112.8618, usercpu_time_millis: 20.3, usercpu_time_millis_testing: 1.52, usercpu_time_millis_training: 18.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8871, kappa: 0.7707, kb_relative_information_score: 3069.8295, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8997, predictive_accuracy: 0.8891, prior_entropy: 0.9906, recall: 0.8891, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7948, scimark_benchmark: 1169.1586, usercpu_time_millis: 17.58, usercpu_time_millis_testing: 2.31, usercpu_time_millis_training: 15.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9441, kappa: 0.8865, kb_relative_information_score: 8245.9562, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9444, predictive_accuracy: 0.9442, prior_entropy: 0.9906, recall: 0.9442, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4387, scimark_benchmark: 1339.8244, usercpu_time_millis: 89.14, usercpu_time_millis_testing: 8.28, usercpu_time_millis_training: 80.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9607, kappa: 0.9202, kb_relative_information_score: 8783.3068, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.961, predictive_accuracy: 0.9607, prior_entropy: 0.9906, recall: 0.9607, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3821, scimark_benchmark: 1277.2488, usercpu_time_millis: 84.38, usercpu_time_millis_testing: 6.38, usercpu_time_millis_training: 78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9523, kappa: 0.9033, kb_relative_information_score: 8630.2512, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 0.9906, recall: 0.9524, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4075, scimark_benchmark: 1299.9238, usercpu_time_millis: 47.14, usercpu_time_millis_testing: 3.05, usercpu_time_millis_training: 44.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9189, kappa: 0.8351, kb_relative_information_score: 5794.6494, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9209, predictive_accuracy: 0.9193, prior_entropy: 0.9906, recall: 0.9193, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6061, scimark_benchmark: 1287.0932, usercpu_time_millis: 35.33, usercpu_time_millis_testing: 3.13, usercpu_time_millis_training: 32.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.92, kappa: 0.8375, kb_relative_information_score: 3891.5604, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9257, predictive_accuracy: 0.9209, prior_entropy: 0.9906, recall: 0.9209, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.734, scimark_benchmark: 1273.5135, usercpu_time_millis: 32.99, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 30.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.924, kappa: 0.8457, kb_relative_information_score: 7271.9545, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9249, predictive_accuracy: 0.9243, prior_entropy: 0.9906, recall: 0.9243, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5191, scimark_benchmark: 1303.1404, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8968, kappa: 0.7902, kb_relative_information_score: 3544.4972, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9058, predictive_accuracy: 0.8982, prior_entropy: 0.9906, recall: 0.8982, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7615, scimark_benchmark: 1321.8386, usercpu_time_millis: 26.89, usercpu_time_millis_testing: 3.02, usercpu_time_millis_training: 23.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9305, kappa: 0.8588, kb_relative_information_score: 6597.8133, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9318, predictive_accuracy: 0.9308, prior_entropy: 0.9906, recall: 0.9308, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5486, scimark_benchmark: 1296.8098, usercpu_time_millis: 22.25, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 20.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9221, kappa: 0.8415, kb_relative_information_score: 4218.1404, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9267, predictive_accuracy: 0.9228, prior_entropy: 0.9906, recall: 0.9228, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7105, scimark_benchmark: 1337.7274, usercpu_time_millis: 43.37, usercpu_time_millis_testing: 5.4, usercpu_time_millis_training: 37.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9575, kappa: 0.9138, kb_relative_information_score: 9008.0571, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9577, predictive_accuracy: 0.9576, prior_entropy: 0.9906, recall: 0.9576, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3788, scimark_benchmark: 1327.4109, usercpu_time_millis: 95.59, usercpu_time_millis_testing: 9.68, usercpu_time_millis_training: 85.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.954, kappa: 0.9067, kb_relative_information_score: 8215.427, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9546, predictive_accuracy: 0.9541, prior_entropy: 0.9906, recall: 0.9541, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4264, scimark_benchmark: 1301.3421, usercpu_time_millis: 61.7, usercpu_time_millis_testing: 5.7, usercpu_time_millis_training: 56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9451, kappa: 0.8885, kb_relative_information_score: 7153.0156, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9461, predictive_accuracy: 0.9453, prior_entropy: 0.9906, recall: 0.9453, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4988, scimark_benchmark: 1277.3663, usercpu_time_millis: 10.77, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 9.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8747, kappa: 0.7458, kb_relative_information_score: 2759.3187, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8921, predictive_accuracy: 0.8775, prior_entropy: 0.9906, recall: 0.8775, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8165, scimark_benchmark: 1296.5353, usercpu_time_millis: 22.5, usercpu_time_millis_testing: 2.95, usercpu_time_millis_training: 19.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9488, kappa: 0.8961, kb_relative_information_score: 7307.8399, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.949, prior_entropy: 0.9906, recall: 0.949, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4859, scimark_benchmark: 1272.7256, usercpu_time_millis: 66.23, usercpu_time_millis_testing: 6.65, usercpu_time_millis_training: 59.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9144, kappa: 0.8261, kb_relative_information_score: 3979.1032, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9202, predictive_accuracy: 0.9153, prior_entropy: 0.9906, recall: 0.9153, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7284, scimark_benchmark: 1303.0686, usercpu_time_millis: 51.26, usercpu_time_millis_testing: 6.9, usercpu_time_millis_training: 44.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9476, kappa: 0.8937, kb_relative_information_score: 7340.8417, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9485, predictive_accuracy: 0.9478, prior_entropy: 0.9906, recall: 0.9478, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4859, scimark_benchmark: 1316.3163, usercpu_time_millis: 43.65, usercpu_time_millis_testing: 3.38, usercpu_time_millis_training: 40.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.5521, kappa: 0.1922, kb_relative_information_score: 954.2864, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7795, predictive_accuracy: 0.6349, prior_entropy: 0.9906, recall: 0.6349, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.939, scimark_benchmark: 1294.1265, usercpu_time_millis: 12.35, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 11.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3985, kb_relative_information_score: -0.121, 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: 1308.5047, usercpu_time_millis: 19.14, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 17.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.885, kappa: 0.7665, kb_relative_information_score: 3355.9784, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.899, predictive_accuracy: 0.8872, prior_entropy: 0.9906, recall: 0.8872, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7748, scimark_benchmark: 1295.0615, usercpu_time_millis: 3.56, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.13,

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