OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9041, kappa: 0.8055, kb_relative_information_score: 5120.4398, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9043, predictive_accuracy: 0.9043, prior_entropy: 0.9906, recall: 0.9043, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6551, scimark_benchmark: 1830.6983, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9169, kappa: 0.8311, kb_relative_information_score: 3923.59, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9219, predictive_accuracy: 0.9177, prior_entropy: 0.9906, recall: 0.9177, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7321, scimark_benchmark: 1845.3208, usercpu_time_millis: 1.154, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 9148.8923, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9906, recall: 0.9395, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4236, scimark_benchmark: 1735.1328, usercpu_time_millis: 5.964, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 5.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1724.0884, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9295, kappa: 0.8568, kb_relative_information_score: 8295.9132, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9298, predictive_accuracy: 0.9296, prior_entropy: 0.9906, recall: 0.9296, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4645, scimark_benchmark: 2018.0996, usercpu_time_millis: 1.518, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1846.6923, usercpu_time_millis: 0.981, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1717.7303, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 9111.6499, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9906, recall: 0.9395, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4238, scimark_benchmark: 1843.2914, usercpu_time_millis: 4.946, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9369, kappa: 0.8721, kb_relative_information_score: 8913.9973, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9371, predictive_accuracy: 0.937, prior_entropy: 0.9906, recall: 0.937, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4293, scimark_benchmark: 1842.1882, usercpu_time_millis: 3.329, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1969.7598, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9393, kappa: 0.8769, kb_relative_information_score: 9138.1473, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9906, recall: 0.9394, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4237, scimark_benchmark: 1735.1328, usercpu_time_millis: 5.571, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 5.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.3985, kb_relative_information_score: 84.3536, mean_absolute_error: 0.4909, 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: 0.9947, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9948, scimark_benchmark: 1960.9199, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9373, kappa: 0.8729, kb_relative_information_score: 9105.1294, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9374, predictive_accuracy: 0.9374, prior_entropy: 0.9906, recall: 0.9374, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4254, scimark_benchmark: 1846.4335, usercpu_time_millis: 5.862, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 5.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9378, kappa: 0.8739, kb_relative_information_score: 8727.7727, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9381, predictive_accuracy: 0.9379, prior_entropy: 0.9906, recall: 0.9379, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4341, scimark_benchmark: 2006.0977, usercpu_time_millis: 2.14, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9123, kappa: 0.8219, kb_relative_information_score: 4551.8192, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9133, predictive_accuracy: 0.9126, prior_entropy: 0.9906, recall: 0.9126, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6899, scimark_benchmark: 1813.4056, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1850.8185, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9331, kappa: 0.8642, kb_relative_information_score: 8480.6286, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9336, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4521, scimark_benchmark: 1850.2875, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1845.779, usercpu_time_millis: 1.155, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9389, kappa: 0.876, kb_relative_information_score: 9115.9734, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.939, predictive_accuracy: 0.9389, prior_entropy: 0.9906, recall: 0.9389, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, scimark_benchmark: 1854.4431, usercpu_time_millis: 5.53, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 5.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9262, kappa: 0.8501, kb_relative_information_score: 7138.4267, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9267, predictive_accuracy: 0.9264, prior_entropy: 0.9906, recall: 0.9264, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.519, scimark_benchmark: 1849.7595, usercpu_time_millis: 1.397, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1852.9988, usercpu_time_millis: 1.145, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9374, kappa: 0.8731, kb_relative_information_score: 9050.5602, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.9906, recall: 0.9375, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4255, scimark_benchmark: 1840.2451, usercpu_time_millis: 4.883, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 4.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1844.6765, usercpu_time_millis: 1.127, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9382, kappa: 0.8747, kb_relative_information_score: 9016.383, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9906, recall: 0.9383, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4258, scimark_benchmark: 1874.33, usercpu_time_millis: 3.64, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9337, kappa: 0.8655, kb_relative_information_score: 8115.7367, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9906, recall: 0.9339, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4622, scimark_benchmark: 1853.454, usercpu_time_millis: 1.775, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9214, kappa: 0.8406, kb_relative_information_score: 7606.1372, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9216, predictive_accuracy: 0.9216, prior_entropy: 0.9906, recall: 0.9216, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5055, scimark_benchmark: 1957.4577, usercpu_time_millis: 1.151, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9366, kappa: 0.8714, kb_relative_information_score: 8932.5987, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9906, recall: 0.9367, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4301, scimark_benchmark: 2008.5893, usercpu_time_millis: 3.558, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 3.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1730.7371, usercpu_time_millis: 1.005, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.3985, kb_relative_information_score: 415.0004, mean_absolute_error: 0.4806, 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: 0.9738, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.974, scimark_benchmark: 1948.3943, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1767.7221, usercpu_time_millis: 1.083, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 2003.2665, usercpu_time_millis: 0.954, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9348, kappa: 0.8677, kb_relative_information_score: 8667.2476, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9352, predictive_accuracy: 0.935, prior_entropy: 0.9906, recall: 0.935, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4417, scimark_benchmark: 1954.6887, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1830.063, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9314, kappa: 0.8608, kb_relative_information_score: 7324.6052, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.932, predictive_accuracy: 0.9316, prior_entropy: 0.9906, recall: 0.9316, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.5036, scimark_benchmark: 1725.6937, usercpu_time_millis: 1.561, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1878.971, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.863,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3601.5915, mean_absolute_error: 0.3643, 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: 0.7382, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7612, scimark_benchmark: 1732.0988, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1850.2875, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9322, kappa: 0.8623, kb_relative_information_score: 8614.581, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9326, predictive_accuracy: 0.9323, prior_entropy: 0.9906, recall: 0.9323, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4523, scimark_benchmark: 1832.0308, usercpu_time_millis: 2.691, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 2.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1728.9285, usercpu_time_millis: 1.084, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1733.81, usercpu_time_millis: 1.095, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9215, kappa: 0.8407, kb_relative_information_score: 7049.401, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9216, predictive_accuracy: 0.9216, prior_entropy: 0.9906, recall: 0.9216, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5347, scimark_benchmark: 1833.8629, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9363, kappa: 0.8707, kb_relative_information_score: 8460.9726, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9366, predictive_accuracy: 0.9364, prior_entropy: 0.9906, recall: 0.9364, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.4456, scimark_benchmark: 1863.1579, usercpu_time_millis: 1.964, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.821, kappa: 0.6413, kb_relative_information_score: 2408.3625, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8697, predictive_accuracy: 0.8299, prior_entropy: 0.9906, recall: 0.8299, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8417, scimark_benchmark: 1866.5348, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1846.2342, usercpu_time_millis: 1.027, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1849.8294, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1850.2875, usercpu_time_millis: 1.034, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9342, kappa: 0.8664, kb_relative_information_score: 8687.4264, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9345, predictive_accuracy: 0.9343, prior_entropy: 0.9906, recall: 0.9343, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4453, scimark_benchmark: 1966.6163, usercpu_time_millis: 2.174, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 2.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9357, kappa: 0.8695, kb_relative_information_score: 8870.8772, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9359, predictive_accuracy: 0.9358, prior_entropy: 0.9906, recall: 0.9358, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4359, scimark_benchmark: 1850.2875, usercpu_time_millis: 2.922, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 2.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.938, kappa: 0.8742, kb_relative_information_score: 9126.8327, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.938, prior_entropy: 0.9906, recall: 0.938, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4245, scimark_benchmark: 2018.6961, usercpu_time_millis: 6.891, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 6.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1820.4473, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9379, kappa: 0.874, kb_relative_information_score: 9141.0839, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9379, predictive_accuracy: 0.9379, prior_entropy: 0.9906, recall: 0.9379, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4245, scimark_benchmark: 1816.63, usercpu_time_millis: 8.907, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 8.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9381, kappa: 0.8744, kb_relative_information_score: 9053.0647, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4254, scimark_benchmark: 1868.6472, usercpu_time_millis: 4.276, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 4.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.821, kappa: 0.6413, kb_relative_information_score: 1363.1084, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8697, predictive_accuracy: 0.8299, prior_entropy: 0.9906, recall: 0.8299, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9124, scimark_benchmark: 1829.1035, usercpu_time_millis: 1.366, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5633.1678, mean_absolute_error: 0.2718, 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: 0.5508, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6302, scimark_benchmark: 1733.7613, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9353, kappa: 0.8686, kb_relative_information_score: 8724.7346, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9356, predictive_accuracy: 0.9354, prior_entropy: 0.9906, recall: 0.9354, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4396, scimark_benchmark: 1961.8307, usercpu_time_millis: 2.296, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 2.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1.028, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1728.9285, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9334, kappa: 0.8649, kb_relative_information_score: 8476.6404, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9339, predictive_accuracy: 0.9336, prior_entropy: 0.9906, recall: 0.9336, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4494, scimark_benchmark: 1730.1903, usercpu_time_millis: 2.085, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.924, kappa: 0.8456, kb_relative_information_score: 6145.5685, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9247, predictive_accuracy: 0.9242, prior_entropy: 0.9906, recall: 0.9242, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5781, scimark_benchmark: 1956.9492, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1853.454, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9207, kappa: 0.8392, kb_relative_information_score: 7160.4465, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9208, predictive_accuracy: 0.9209, prior_entropy: 0.9906, recall: 0.9209, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5299, scimark_benchmark: 1834.1773, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1894.1897, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1846.2342, usercpu_time_millis: 1.018, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1889.9929, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1821.6573, usercpu_time_millis: 0.98, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1959.1658, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.819,

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