Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9371, kappa: 0.8721, kb_relative_information_score: 4729.421, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9399, predictive_accuracy: 0.9375, prior_entropy: 0.9906, recall: 0.9375, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6707, scimark_benchmark: 1811.8342, usercpu_time_millis: 22.656, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 19.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9568, kappa: 0.9125, kb_relative_information_score: 9412.4788, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3687, scimark_benchmark: 1724.881, usercpu_time_millis: 30.259, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 28.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9617, kappa: 0.9224, kb_relative_information_score: 9661.7089, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.9906, recall: 0.9617, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3372, scimark_benchmark: 1730.1903, usercpu_time_millis: 8.475, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 8.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9546, kappa: 0.9079, kb_relative_information_score: 9372.7745, mean_absolute_error: 0.0819, 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: 0.1659, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3737, scimark_benchmark: 1843.1261, usercpu_time_millis: 40.761, usercpu_time_millis_testing: 2.83, usercpu_time_millis_training: 37.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9678, kappa: 0.9347, kb_relative_information_score: 9577.9448, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.9906, recall: 0.9678, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3229, scimark_benchmark: 1731.5618, usercpu_time_millis: 55.438, usercpu_time_millis_testing: 4.216, usercpu_time_millis_training: 51.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9527, kappa: 0.9041, kb_relative_information_score: 7687.9236, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9534, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4572, scimark_benchmark: 1850.5112, usercpu_time_millis: 52.591, usercpu_time_millis_testing: 5.578, usercpu_time_millis_training: 47.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9479, kappa: 0.8943, kb_relative_information_score: 9090.9007, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9906, recall: 0.9479, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4015, scimark_benchmark: 1729.728, usercpu_time_millis: 25.243, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 23.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9642, kappa: 0.9275, kb_relative_information_score: 9677.6599, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9906, recall: 0.9643, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3298, scimark_benchmark: 1852.9259, usercpu_time_millis: 35.487, usercpu_time_millis_testing: 2.42, usercpu_time_millis_training: 33.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9598, kappa: 0.9185, kb_relative_information_score: 9160.0924, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 0.9906, recall: 0.9598, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3665, scimark_benchmark: 1855.4813, usercpu_time_millis: 51.032, usercpu_time_millis_testing: 4.851, usercpu_time_millis_training: 46.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9652, kappa: 0.9295, kb_relative_information_score: 9549.1463, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9906, recall: 0.9653, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3318, scimark_benchmark: 1817.3803, usercpu_time_millis: 37.927, usercpu_time_millis_testing: 3.229, usercpu_time_millis_training: 34.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9592, kappa: 0.9172, kb_relative_information_score: 9617.8667, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3431, scimark_benchmark: 1733.8252, usercpu_time_millis: 47.587, usercpu_time_millis_testing: 2.614, usercpu_time_millis_training: 44.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.964, kappa: 0.9269, kb_relative_information_score: 9737.6382, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.9906, recall: 0.964, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3282, scimark_benchmark: 1825.2335, usercpu_time_millis: 21.899, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 20.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9654, kappa: 0.9299, kb_relative_information_score: 9673.2398, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 0.9906, recall: 0.9654, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3268, scimark_benchmark: 1840.5827, usercpu_time_millis: 23.069, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 21.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9534, kappa: 0.9055, kb_relative_information_score: 9258.2544, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9906, recall: 0.9534, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.3856, scimark_benchmark: 1721.8414, usercpu_time_millis: 45.332, usercpu_time_millis_testing: 3.88, usercpu_time_millis_training: 41.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9565, kappa: 0.9118, kb_relative_information_score: 9411.8112, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9906, recall: 0.9565, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3656, scimark_benchmark: 1729.728, usercpu_time_millis: 54.116, usercpu_time_millis_testing: 4.174, usercpu_time_millis_training: 49.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9656, kappa: 0.9303, kb_relative_information_score: 9449.0285, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.9906, recall: 0.9656, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3361, scimark_benchmark: 1730.1903, usercpu_time_millis: 43.43, usercpu_time_millis_testing: 3.619, usercpu_time_millis_training: 39.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9568, kappa: 0.9124, kb_relative_information_score: 9039.2522, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3782, scimark_benchmark: 1732.5611, usercpu_time_millis: 34.079, usercpu_time_millis_testing: 3.58, usercpu_time_millis_training: 30.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9225, kappa: 0.8425, kb_relative_information_score: 4231.0192, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9269, predictive_accuracy: 0.9232, prior_entropy: 0.9906, recall: 0.9232, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7096, scimark_benchmark: 1843.3097, usercpu_time_millis: 39.083, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 34.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9587, kappa: 0.9163, kb_relative_information_score: 9506.8528, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9587, predictive_accuracy: 0.9588, prior_entropy: 0.9906, recall: 0.9588, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3561, scimark_benchmark: 1848.388, usercpu_time_millis: 34.021, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 31.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9604, kappa: 0.9198, kb_relative_information_score: 9555.1227, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 0.9906, recall: 0.9605, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.347, scimark_benchmark: 1846.4335, usercpu_time_millis: 19.371, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 18.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9236, kappa: 0.8447, kb_relative_information_score: 4272.2996, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.928, predictive_accuracy: 0.9243, prior_entropy: 0.9906, recall: 0.9243, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7064, scimark_benchmark: 1848.7762, usercpu_time_millis: 35.621, usercpu_time_millis_testing: 4.097, usercpu_time_millis_training: 31.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9577, kappa: 0.9143, kb_relative_information_score: 9439.124, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3582, scimark_benchmark: 1711.7027, usercpu_time_millis: 20.015, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 18.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9467, kappa: 0.8917, kb_relative_information_score: 8198.802, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9473, predictive_accuracy: 0.9468, prior_entropy: 0.9906, recall: 0.9468, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4383, scimark_benchmark: 1848.916, usercpu_time_millis: 35.193, usercpu_time_millis_testing: 4.083, usercpu_time_millis_training: 31.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9653, kappa: 0.9297, kb_relative_information_score: 9867.4463, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.9906, recall: 0.9654, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3191, scimark_benchmark: 1853.454, usercpu_time_millis: 19.693, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 18.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 9818.1517, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9906, recall: 0.9681, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.154, root_relative_squared_error: 0.31, scimark_benchmark: 1852.5406, usercpu_time_millis: 44.736, usercpu_time_millis_testing: 3.343, usercpu_time_millis_training: 41.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9624, kappa: 0.9238, kb_relative_information_score: 9646.8641, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9906, recall: 0.9625, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3326, scimark_benchmark: 1851.3986, usercpu_time_millis: 22.733, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 21.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9613, kappa: 0.9215, kb_relative_information_score: 9586.8889, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3426, scimark_benchmark: 1849.447, usercpu_time_millis: 23.089, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 21.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9571, kappa: 0.913, kb_relative_information_score: 9287.9862, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3679, scimark_benchmark: 1852.5406, usercpu_time_millis: 45.97, usercpu_time_millis_testing: 4.201, usercpu_time_millis_training: 41.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9575, kappa: 0.9139, kb_relative_information_score: 9237.8885, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9906, recall: 0.9576, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3664, scimark_benchmark: 1734.0417, usercpu_time_millis: 53.217, usercpu_time_millis_testing: 5.169, usercpu_time_millis_training: 48.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.969, kappa: 0.9372, kb_relative_information_score: 9893.7294, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.9906, recall: 0.9691, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3066, scimark_benchmark: 1758.3133, usercpu_time_millis: 37.505, usercpu_time_millis_testing: 1.827, usercpu_time_millis_training: 35.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9571, kappa: 0.913, kb_relative_information_score: 9446.1442, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3656, scimark_benchmark: 1811.7204, usercpu_time_millis: 24.599, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 23.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9601, kappa: 0.9191, kb_relative_information_score: 9606.3145, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 0.9906, recall: 0.9601, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3433, scimark_benchmark: 1727.044, usercpu_time_millis: 33.389, usercpu_time_millis_testing: 2.277, usercpu_time_millis_training: 31.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9698, kappa: 0.9388, kb_relative_information_score: 9913.6779, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.97, predictive_accuracy: 0.9699, prior_entropy: 0.9906, recall: 0.9699, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3062, scimark_benchmark: 1845.2522, usercpu_time_millis: 56.406, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 53.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9525, kappa: 0.9036, kb_relative_information_score: 9056.9922, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.9906, recall: 0.9525, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.3929, scimark_benchmark: 1885.8711, usercpu_time_millis: 39.567, usercpu_time_millis_testing: 5.043, usercpu_time_millis_training: 34.524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9475, kappa: 0.8936, kb_relative_information_score: 9455.8134, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.9906, recall: 0.9475, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4004, scimark_benchmark: 1824.567, usercpu_time_millis: 217.752, usercpu_time_millis_testing: 2.081, usercpu_time_millis_training: 215.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9626, kappa: 0.9242, kb_relative_information_score: 9890.6818, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 0.9906, recall: 0.9626, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3342, scimark_benchmark: 1837.0722, usercpu_time_millis: 142.237, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 140.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.938, kappa: 0.8742, kb_relative_information_score: 9177.226, mean_absolute_error: 0.0895, 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: 0.1813, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4332, scimark_benchmark: 1772.2308, usercpu_time_millis: 186.391, usercpu_time_millis_testing: 2.067, usercpu_time_millis_training: 184.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9381, kappa: 0.8744, kb_relative_information_score: 9205.4819, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4262, scimark_benchmark: 1725.4227, usercpu_time_millis: 191.024, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 189.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9552, kappa: 0.9091, kb_relative_information_score: 9651.6523, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.9906, recall: 0.9552, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3727, scimark_benchmark: 1816.7553, usercpu_time_millis: 163.542, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 161.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9592, kappa: 0.9173, kb_relative_information_score: 9751.3477, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9906, recall: 0.9592, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.358, scimark_benchmark: 1843.1016, usercpu_time_millis: 221.866, usercpu_time_millis_testing: 2.661, usercpu_time_millis_training: 219.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9693, kappa: 0.9378, kb_relative_information_score: 10057.3832, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.9906, recall: 0.9693, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3142, scimark_benchmark: 1821.7175, usercpu_time_millis: 192.066, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 190.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9377, kappa: 0.8736, kb_relative_information_score: 9198.526, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9378, predictive_accuracy: 0.9378, prior_entropy: 0.9906, recall: 0.9378, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4261, scimark_benchmark: 1733.0257, usercpu_time_millis: 156.471, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 154.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9362, kappa: 0.8705, kb_relative_information_score: 9134.6523, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9362, predictive_accuracy: 0.9362, prior_entropy: 0.9906, recall: 0.9362, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.44, scimark_benchmark: 1728.0111, usercpu_time_millis: 227.182, usercpu_time_millis_testing: 2.641, usercpu_time_millis_training: 224.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9641.3747, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9906, recall: 0.9545, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3752, scimark_benchmark: 1834.111, usercpu_time_millis: 208.665, usercpu_time_millis_testing: 2.025, usercpu_time_millis_training: 206.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9634, kappa: 0.9257, kb_relative_information_score: 9897.7723, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.9906, recall: 0.9634, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.332, scimark_benchmark: 1724.0479, usercpu_time_millis: 173.971, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 172.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9381, kappa: 0.8744, kb_relative_information_score: 9197.8566, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4259, scimark_benchmark: 1821.1707, usercpu_time_millis: 200.581, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 198.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.955, kappa: 0.9088, kb_relative_information_score: 9618.8849, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.9906, recall: 0.955, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3771, scimark_benchmark: 1818.3028, usercpu_time_millis: 233.162, usercpu_time_millis_testing: 2.713, usercpu_time_millis_training: 230.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9368, kappa: 0.8718, kb_relative_information_score: 9154.215, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9369, predictive_accuracy: 0.9369, prior_entropy: 0.9906, recall: 0.9369, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4369, scimark_benchmark: 1712.4277, usercpu_time_millis: 212.373, usercpu_time_millis_testing: 2.523, usercpu_time_millis_training: 209.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 9848.8122, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.9906, recall: 0.9607, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3419, scimark_benchmark: 1800.8311, usercpu_time_millis: 237.259, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 235.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9373, kappa: 0.8729, kb_relative_information_score: 9208.7528, mean_absolute_error: 0.0879, 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: 0.178, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4262, scimark_benchmark: 1713.0011, usercpu_time_millis: 228.041, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 226.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.936, kappa: 0.8702, kb_relative_information_score: 9140.8434, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.936, predictive_accuracy: 0.936, prior_entropy: 0.9906, recall: 0.936, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4389, scimark_benchmark: 1833.1466, usercpu_time_millis: 196.258, usercpu_time_millis_testing: 2.439, usercpu_time_millis_training: 193.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9497, kappa: 0.8981, kb_relative_information_score: 9439.7164, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9906, recall: 0.9497, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4002, scimark_benchmark: 1843.7637, usercpu_time_millis: 222.63, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 219.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9521, kappa: 0.9029, kb_relative_information_score: 9582.5759, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9906, recall: 0.9521, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3825, scimark_benchmark: 1783.4406, usercpu_time_millis: 252.725, usercpu_time_millis_testing: 1.892, usercpu_time_millis_training: 250.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.956, kappa: 0.9108, kb_relative_information_score: 9715.3635, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9906, recall: 0.956, relative_absolute_error: 0.1299, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3621, scimark_benchmark: 1791.1322, usercpu_time_millis: 150.209, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 148.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9434, kappa: 0.8852, kb_relative_information_score: 9276.7271, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9434, predictive_accuracy: 0.9434, prior_entropy: 0.9906, recall: 0.9434, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4207, scimark_benchmark: 1833.2039, usercpu_time_millis: 231.829, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 228.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9378, kappa: 0.8738, kb_relative_information_score: 9198.5368, mean_absolute_error: 0.0883, 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: 0.179, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4261, scimark_benchmark: 1820.2697, usercpu_time_millis: 234.326, usercpu_time_millis_testing: 1.766, usercpu_time_millis_training: 232.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9378, kappa: 0.8738, kb_relative_information_score: 9195.8234, mean_absolute_error: 0.0884, 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: 0.1792, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1737.6811, usercpu_time_millis: 233.997, usercpu_time_millis_testing: 1.756, usercpu_time_millis_training: 232.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9292, kappa: 0.8565, kb_relative_information_score: 8983.7617, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9292, predictive_accuracy: 0.9293, prior_entropy: 0.9906, recall: 0.9293, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4572, scimark_benchmark: 1713.0329, usercpu_time_millis: 258.353, usercpu_time_millis_testing: 3.086, usercpu_time_millis_training: 255.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9373, kappa: 0.8728, kb_relative_information_score: 9165.3193, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9373, predictive_accuracy: 0.9373, prior_entropy: 0.9906, recall: 0.9373, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4371, scimark_benchmark: 1742.8048, usercpu_time_millis: 257.706, usercpu_time_millis_testing: 3.52, usercpu_time_millis_training: 254.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9319, kappa: 0.8619, kb_relative_information_score: 9043.883, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 0.9906, recall: 0.932, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.45, scimark_benchmark: 1823.7167, usercpu_time_millis: 269.595, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 266.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9564, kappa: 0.9116, kb_relative_information_score: 9698.2963, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9906, recall: 0.9564, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3668, scimark_benchmark: 1818.2638, usercpu_time_millis: 210.983, usercpu_time_millis_testing: 2.525, usercpu_time_millis_training: 208.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9373, kappa: 0.8729, kb_relative_information_score: 9199.1465, mean_absolute_error: 0.0883, 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: 0.1788, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1752.9164, usercpu_time_millis: 256.952, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 255.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9441, kappa: 0.8866, kb_relative_information_score: 9305.5683, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 0.9906, recall: 0.9441, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4176, scimark_benchmark: 1709.5018, usercpu_time_millis: 273.261, usercpu_time_millis_testing: 3.287, usercpu_time_millis_training: 269.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9388, kappa: 0.8759, kb_relative_information_score: 9186.7445, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9388, predictive_accuracy: 0.9389, prior_entropy: 0.9906, recall: 0.9389, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4333, scimark_benchmark: 1753.9136, usercpu_time_millis: 286, usercpu_time_millis_testing: 3.164, usercpu_time_millis_training: 282.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9371, kappa: 0.8724, kb_relative_information_score: 9160.313, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9371, predictive_accuracy: 0.9371, prior_entropy: 0.9906, recall: 0.9371, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4358, scimark_benchmark: 1708.2099, usercpu_time_millis: 230.954, usercpu_time_millis_testing: 2.569, usercpu_time_millis_training: 228.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9382, kappa: 0.8748, kb_relative_information_score: 9181.195, mean_absolute_error: 0.0893, 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: 0.1809, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4323, scimark_benchmark: 1801.3233, usercpu_time_millis: 293.642, usercpu_time_millis_testing: 2.013, usercpu_time_millis_training: 291.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9377, kappa: 0.8736, kb_relative_information_score: 9197.071, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9378, predictive_accuracy: 0.9378, prior_entropy: 0.9906, recall: 0.9378, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4259, scimark_benchmark: 1832.6598, usercpu_time_millis: 283.651, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 281.957,

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