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: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1269.9092, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1914, scimark_benchmark: 1869.2942, usercpu_time_millis: 6.4, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 5.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0452, 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: 1858.1823, usercpu_time_millis: 2.068, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.4098, 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: 1872.8797, usercpu_time_millis: 0.416, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0666, 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: 1838.622, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 1.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 740.7436, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9186, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5921, scimark_benchmark: 1861.8971, usercpu_time_millis: 3.618, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 3.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1293.2609, 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: 0.0686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1815, scimark_benchmark: 1853.4563, usercpu_time_millis: 8.652, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 7.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8983, kappa: 0.7935, kb_relative_information_score: 791.849, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5755, scimark_benchmark: 1860.9826, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0177, 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: 1862.8707, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1181.8222, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.288, scimark_benchmark: 1861.8971, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1242.6313, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2635, scimark_benchmark: 1850.6382, usercpu_time_millis: 1.003, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9708, kappa: 0.9409, kb_relative_information_score: 1076.147, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3694, scimark_benchmark: 1854.3736, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1010.4779, mean_absolute_error: 0.1527, 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: 0.3092, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4135, scimark_benchmark: 1863.9124, usercpu_time_millis: 6.2, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 5.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9752, kappa: 0.9498, kb_relative_information_score: 1203.0831, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.3049, scimark_benchmark: 1854.8318, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1204.3955, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2812, scimark_benchmark: 1866.8213, usercpu_time_millis: 7.766, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 7.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1265.6813, mean_absolute_error: 0.0469, 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: 0.095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.1955, scimark_benchmark: 1855.4812, usercpu_time_millis: 1.813, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1229.4909, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.2799, scimark_benchmark: 1859.9421, usercpu_time_millis: 8.08, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 7.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 734.3872, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6901, scimark_benchmark: 1857.1406, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1113.6513, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.329, scimark_benchmark: 1865.5208, usercpu_time_millis: 0.752, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9599, kappa: 0.9188, kb_relative_information_score: 1061.7113, mean_absolute_error: 0.128, 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: 0.2592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4106, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1258.654, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2437, scimark_benchmark: 1870.9927, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9246, kappa: 0.8469, kb_relative_information_score: 1058.0033, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9263, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4476, scimark_benchmark: 1866.4683, usercpu_time_millis: 5.209, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 4.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1201.542, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2734, scimark_benchmark: 1857.9581, usercpu_time_millis: 2.903, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 2.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9408, kappa: 0.88, kb_relative_information_score: 895.2571, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9413, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4962, scimark_benchmark: 1847.2806, usercpu_time_millis: 0.97, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1246.2603, mean_absolute_error: 0.0518, 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: 0.105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2647, scimark_benchmark: 1834.0484, usercpu_time_millis: 3.164, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 2.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1239.572, mean_absolute_error: 0.0586, 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: 0.1186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2176, scimark_benchmark: 1847.084, usercpu_time_millis: 1.591, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9179, kappa: 0.8333, kb_relative_information_score: 976.7205, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.92, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5088, scimark_benchmark: 1859.4121, usercpu_time_millis: 2.324, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.1515, 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: 1861.8971, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1244.617, mean_absolute_error: 0.0545, 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: 0.1104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.238, scimark_benchmark: 1856.799, usercpu_time_millis: 2.38, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9164, kappa: 0.8301, kb_relative_information_score: 855.9582, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.532, scimark_benchmark: 1858.6978, usercpu_time_millis: 4.595, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 3.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0053, 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: 1852.4857, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1210.3645, mean_absolute_error: 0.0707, 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: 0.1431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.2503, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1291.9937, mean_absolute_error: 0.0343, 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: 0.0694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1848.8886, usercpu_time_millis: 2.889, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1306.0069, mean_absolute_error: 0.0271, 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: 0.0549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.1994, scimark_benchmark: 1842.2036, usercpu_time_millis: 9.074, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 8.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1272.2783, mean_absolute_error: 0.043, 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: 0.087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2045, scimark_benchmark: 1846.1774, usercpu_time_millis: 6.187, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 5.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1245.9175, mean_absolute_error: 0.0559, 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: 0.1131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.2108, scimark_benchmark: 1860.0553, usercpu_time_millis: 6.703, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 6.025,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1251.7895, mean_absolute_error: 0.053, 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: 0.1073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2085, scimark_benchmark: 1861.1843, usercpu_time_millis: 3.857, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1194.628, mean_absolute_error: 0.0782, 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: 0.1584, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2562, scimark_benchmark: 1864.8991, usercpu_time_millis: 5.695, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 5.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0613, 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: 1851.5723, usercpu_time_millis: 0.721, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9583, kappa: 0.9154, kb_relative_information_score: 1156.8385, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3574, scimark_benchmark: 1869.2273, usercpu_time_millis: 4.97, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 4.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1239.4568, mean_absolute_error: 0.0558, 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: 0.1129, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.2523, scimark_benchmark: 1847.084, usercpu_time_millis: 3.661, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 3.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 1126.4865, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3816, scimark_benchmark: 1867.1999, usercpu_time_millis: 9.889, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 9.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1215.731, mean_absolute_error: 0.0675, 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: 0.1366, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.2567, scimark_benchmark: 1867.725, usercpu_time_millis: 6.597, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 5.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1124.4281, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3473, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.234, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1300.3786, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.2326, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.674, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 3.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9475, kappa: 0.8935, kb_relative_information_score: 1098.6009, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9476, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4016, scimark_benchmark: 1865.6428, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1148.9709, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3058, scimark_benchmark: 1860.4615, usercpu_time_millis: 1.349, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9379, kappa: 0.8739, kb_relative_information_score: 1037.3718, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4534, scimark_benchmark: 1862.932, usercpu_time_millis: 4.363, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 3.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1274.8459, mean_absolute_error: 0.0413, 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: 0.0837, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2094, scimark_benchmark: 1839.9935, usercpu_time_millis: 2.732, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 2.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1164.3178, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.2929, scimark_benchmark: 1857.66, usercpu_time_millis: 0.52, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1282.3704, mean_absolute_error: 0.0389, 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: 0.0788, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1893, scimark_benchmark: 1852.4305, usercpu_time_millis: 8.506, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 7.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1267.5793, mean_absolute_error: 0.0449, 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: 0.0909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2103, scimark_benchmark: 1836.5407, usercpu_time_millis: 3.07, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 2.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0939, 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: 1867.725, usercpu_time_millis: 1.719, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9592, kappa: 0.9174, kb_relative_information_score: 958.9512, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4504, scimark_benchmark: 1835.4783, usercpu_time_millis: 2.869, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1249.3981, mean_absolute_error: 0.054, 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: 0.1093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2121, scimark_benchmark: 1856.2369, usercpu_time_millis: 4.741, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 4.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1196.0052, mean_absolute_error: 0.0774, 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: 0.1566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2576, scimark_benchmark: 1865.0282, usercpu_time_millis: 2.486, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 2.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8597, kappa: 0.7169, kb_relative_information_score: 765.3738, mean_absolute_error: 0.2401, 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: 0.4862, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6233, scimark_benchmark: 1868.5777, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1003.4386, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5167, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.506, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1244.0333, mean_absolute_error: 0.0552, 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: 0.1118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1250.4112, mean_absolute_error: 0.0537, 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: 0.1086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2095, scimark_benchmark: 1867.725, usercpu_time_millis: 3.714, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 3.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9621, kappa: 0.9232, kb_relative_information_score: 1238.4507, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.9912, recall: 0.9621, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3339, scimark_benchmark: 1860.3388, usercpu_time_millis: 8.31, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 7.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0503, 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: 1836.6781, usercpu_time_millis: 1.577, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0322, 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: 1858.2962, usercpu_time_millis: 0.706, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9283, kappa: 0.8544, kb_relative_information_score: 1007.4617, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9297, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4862, scimark_benchmark: 1834.6286, usercpu_time_millis: 2.909, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1214.9206, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.2921, scimark_benchmark: 1844.7474, usercpu_time_millis: 8.296, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 7.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9745, kappa: 0.9483, kb_relative_information_score: 1160.8617, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.327, scimark_benchmark: 1853.5217, usercpu_time_millis: 8.713, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 7.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1284.8084, mean_absolute_error: 0.0376, 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: 0.0762, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.19, scimark_benchmark: 1850.3214, usercpu_time_millis: 8.492, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 7.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1285.8646, mean_absolute_error: 0.0358, 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: 0.0725, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2167, scimark_benchmark: 1849.6959, usercpu_time_millis: 3.136, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 2.945,

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