OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1274.1693, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2248, scimark_benchmark: 1767.5286, usercpu_time_millis: 11.263, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 10.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 765.5845, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.865, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6227, scimark_benchmark: 1872.6571, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 2.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1266.6367, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.207, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.899, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 5.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1254.0655, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2076, scimark_benchmark: 1867.1999, usercpu_time_millis: 5.197, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 4.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9123, kappa: 0.822, kb_relative_information_score: 976.7282, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9129, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5296, scimark_benchmark: 1870.742, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9305, kappa: 0.8589, kb_relative_information_score: 1018.0476, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9316, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4693, scimark_benchmark: 1864.0845, usercpu_time_millis: 1.408, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: 0.1111, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1864.0845, usercpu_time_millis: 2.457, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1293.145, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1817, scimark_benchmark: 1859.4255, usercpu_time_millis: 7.239, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 6.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8553, kappa: 0.7082, kb_relative_information_score: 788.8151, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.857, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6405, scimark_benchmark: 1861.1843, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1113.3335, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3315, scimark_benchmark: 1851.5125, usercpu_time_millis: 4.151, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 1037.0374, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3925, scimark_benchmark: 1845.1568, usercpu_time_millis: 5.952, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 5.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1247.0999, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.2903, scimark_benchmark: 1851.4609, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1310.0854, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2038, scimark_benchmark: 1847.1538, usercpu_time_millis: 4.496, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 4.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.981, kappa: 0.9615, kb_relative_information_score: 1233.2579, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2741, scimark_benchmark: 1864.8991, usercpu_time_millis: 1.973, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1301.3741, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.2024, scimark_benchmark: 1842.0305, usercpu_time_millis: 4.308, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 4.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9159, kappa: 0.8294, kb_relative_information_score: 1003.9446, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9166, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5116, scimark_benchmark: 1846.6258, usercpu_time_millis: 4.292, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 3.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.965, kappa: 0.9292, kb_relative_information_score: 1101.0484, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3698, scimark_benchmark: 1844.0458, usercpu_time_millis: 3.711, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 3.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1231.6553, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2492, scimark_benchmark: 1873.9387, usercpu_time_millis: 2.274, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 2.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1311.9581, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2062, scimark_benchmark: 1866.9264, usercpu_time_millis: 10.17, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 9.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1247.1681, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.211, scimark_benchmark: 1853.7236, usercpu_time_millis: 5.418, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 4.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 763.8893, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8612, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6256, scimark_benchmark: 1865.6428, usercpu_time_millis: 3.451, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8725, kappa: 0.7418, kb_relative_information_score: 651.9762, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8725, predictive_accuracy: 0.8724, prior_entropy: 0.9912, recall: 0.8724, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6566, scimark_benchmark: 1877.2162, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.915, kappa: 0.8273, kb_relative_information_score: 954.0195, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9172, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5172, scimark_benchmark: 1845.1568, usercpu_time_millis: 3.674, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 3.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1315.6957, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1739, scimark_benchmark: 1849.1812, usercpu_time_millis: 3.796, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 3.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.929, kappa: 0.8559, kb_relative_information_score: 1016.4431, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9304, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4717, scimark_benchmark: 1845.615, usercpu_time_millis: 3.628, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 3.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9686, kappa: 0.9363, kb_relative_information_score: 1158.2995, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.969, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3406, scimark_benchmark: 1856.2273, usercpu_time_millis: 0.953, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9504, kappa: 0.8994, kb_relative_information_score: 920.5042, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4767, scimark_benchmark: 1842.9565, usercpu_time_millis: 2.205, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1254.1364, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2352, scimark_benchmark: 1861.0453, usercpu_time_millis: 3.338, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 3.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9687, kappa: 0.9366, kb_relative_information_score: 1108.4998, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3629, scimark_benchmark: 1866.6776, usercpu_time_millis: 3.359, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 2.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9131, kappa: 0.8237, kb_relative_information_score: 1013.7599, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9135, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5271, scimark_benchmark: 1858.4861, usercpu_time_millis: 9.147, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 8.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1254.282, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.228, scimark_benchmark: 1847.612, usercpu_time_millis: 2.945, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 2.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 1197.3208, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.283, scimark_benchmark: 1846.385, usercpu_time_millis: 1.817, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1134, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1854.2319, usercpu_time_millis: 1.982, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: 0.1116, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1864.8321, usercpu_time_millis: 2.156, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1263.4759, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2083, scimark_benchmark: 1840.5082, usercpu_time_millis: 3.28, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 3.015,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1304.3307, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1791, scimark_benchmark: 1849.9673, usercpu_time_millis: 2.319, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 2.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1141.5415, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3057, scimark_benchmark: 1865.3572, usercpu_time_millis: 1.536, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1025.2309, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9172, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.4996, scimark_benchmark: 1879.9636, usercpu_time_millis: 1.817, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9167, kappa: 0.831, kb_relative_information_score: 1002.4003, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9172, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5171, scimark_benchmark: 1869.1727, usercpu_time_millis: 2.38, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 2.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0866, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1840.8164, usercpu_time_millis: 1.17, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9599, kappa: 0.9188, kb_relative_information_score: 954.7266, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.4531, scimark_benchmark: 1851.5723, usercpu_time_millis: 4.365, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 3.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8618, kappa: 0.7211, kb_relative_information_score: 749.5544, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8632, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6323, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.658, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.949, kappa: 0.8967, kb_relative_information_score: 1061.9591, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4235, scimark_benchmark: 1850.6087, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.5059, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1250.0353, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.2292, scimark_benchmark: 1863.6189, usercpu_time_millis: 1.635, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9174, kappa: 0.8325, kb_relative_information_score: 1005.1569, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9179, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5136, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1197.6553, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2547, scimark_benchmark: 1867.5361, usercpu_time_millis: 1.107, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8918, kappa: 0.7804, kb_relative_information_score: 790.3221, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8924, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5766, scimark_benchmark: 1846.8389, usercpu_time_millis: 1.018, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.8445, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6968, scimark_benchmark: 1871.2729, usercpu_time_millis: 1.952, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.0519, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1878.9559, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9149, kappa: 0.8271, kb_relative_information_score: 893.4501, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9179, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5223, scimark_benchmark: 1878.2943, usercpu_time_millis: 0.292, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1304.8992, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.182, scimark_benchmark: 1852.311, usercpu_time_millis: 8.603, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 7.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1271.1779, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.232, scimark_benchmark: 1842.2549, usercpu_time_millis: 7.962, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 7.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0424, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1863.7904, usercpu_time_millis: 1.361, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1707, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1873.8058, usercpu_time_millis: 1.042, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3966, kb_relative_information_score: -0.0721, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1857.1406, usercpu_time_millis: 0.883, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1228.24, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2501, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.205, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1284.194, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2023, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.678, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1301.8583, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.004, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1194.3591, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.2591, scimark_benchmark: 1859.6753, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1244.3972, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.2877, scimark_benchmark: 1862.8707, usercpu_time_millis: 8.36, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 7.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9203, kappa: 0.8382, kb_relative_information_score: 1012.7391, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9212, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5031, scimark_benchmark: 1851.0764, usercpu_time_millis: 6.167, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 5.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.2354, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.1781, scimark_benchmark: 1869.6309, usercpu_time_millis: 9.528, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 8.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1291.5272, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1848, scimark_benchmark: 1869.6888, usercpu_time_millis: 8.974, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 8.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1277.6436, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.2256, scimark_benchmark: 1871.4425, usercpu_time_millis: 3.541, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 3.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 1128.7468, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3814, scimark_benchmark: 1850.4932, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 2.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0783, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1277.6948, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0799, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2224, scimark_benchmark: 1865.1205, usercpu_time_millis: 10.583, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 9.787,

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