OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9365, kb_relative_information_score: 1243.5219, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3126, scimark_benchmark: 1864.3739, usercpu_time_millis: 11.025, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 10.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9759, kappa: 0.9512, kb_relative_information_score: 1185.0736, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3171, scimark_benchmark: 1871.8964, usercpu_time_millis: 8.672, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 7.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.4497, mean_absolute_error: 0.0285, 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: 0.0578, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2053, scimark_benchmark: 1873.9908, usercpu_time_millis: 3.028, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 2.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9401, kappa: 0.8784, kb_relative_information_score: 1036.1142, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9407, predictive_accuracy: 0.9402, prior_entropy: 0.9912, recall: 0.9402, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4537, scimark_benchmark: 1862.932, usercpu_time_millis: 1.894, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0323, 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: 1865.3572, usercpu_time_millis: 1.929, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1112.5119, mean_absolute_error: 0.1122, 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: 0.2272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3288, scimark_benchmark: 1867.5457, usercpu_time_millis: 2.267, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9767, kappa: 0.9527, kb_relative_information_score: 1200.9, mean_absolute_error: 0.0708, 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: 0.1434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3034, scimark_benchmark: 1859.7394, usercpu_time_millis: 3.859, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 3.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 1163.9598, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.315, scimark_benchmark: 1869.1727, usercpu_time_millis: 3.235, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1251.3065, mean_absolute_error: 0.0534, 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: 0.1081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.2072, scimark_benchmark: 1863.4543, usercpu_time_millis: 3.276, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1155.5662, mean_absolute_error: 0.0943, 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: 0.1909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2943, scimark_benchmark: 1859.2172, usercpu_time_millis: 5.24, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 4.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1065.8073, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4087, scimark_benchmark: 1860.9934, usercpu_time_millis: 2.93, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 2.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8762, kappa: 0.7497, kb_relative_information_score: 715.7012, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8765, predictive_accuracy: 0.8761, prior_entropy: 0.9912, recall: 0.8761, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6215, scimark_benchmark: 1867.725, usercpu_time_millis: 2.206, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 1.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.1913, mean_absolute_error: 0.028, 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: 0.0566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.1995, scimark_benchmark: 1869.6247, usercpu_time_millis: 3.075, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 2.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1302.0232, mean_absolute_error: 0.0289, 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: 0.0585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.202, scimark_benchmark: 1855.6011, usercpu_time_millis: 3.583, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 3.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1077.3031, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.359, scimark_benchmark: 1852.4167, usercpu_time_millis: 3.591, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 3.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1137.0294, mean_absolute_error: 0.1017, 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: 0.206, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3119, scimark_benchmark: 1861.8971, usercpu_time_millis: 5.208, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 4.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1240.2802, mean_absolute_error: 0.057, 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: 0.1155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2324, scimark_benchmark: 1862.1704, usercpu_time_millis: 3.997, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 3.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1295.7324, mean_absolute_error: 0.0323, 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: 0.0654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.1874, scimark_benchmark: 1861.9586, usercpu_time_millis: 5.446, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 4.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0598, 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: 1873.4078, usercpu_time_millis: 1.907, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9349, kappa: 0.8679, kb_relative_information_score: 985.9509, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9359, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4635, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.073, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0707, 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: 1865.5041, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3966, kb_relative_information_score: 0.0582, 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: 1864.9656, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 2.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1279.0547, mean_absolute_error: 0.0403, 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: 0.0815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.194, scimark_benchmark: 1856.3652, usercpu_time_millis: 5.6, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 5.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.016, 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: 1872.9496, usercpu_time_millis: 1.742, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9401, kappa: 0.8784, kb_relative_information_score: 992.299, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9407, predictive_accuracy: 0.9402, prior_entropy: 0.9912, recall: 0.9402, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4582, scimark_benchmark: 1873.8058, usercpu_time_millis: 4.755, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 4.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1280.2557, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2053, scimark_benchmark: 1852.9397, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8908, kappa: 0.7782, kb_relative_information_score: 417.9967, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8979, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7804, scimark_benchmark: 1859.4881, usercpu_time_millis: 0.327, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1251.1713, mean_absolute_error: 0.0517, 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: 0.1047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2301, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1169.4588, mean_absolute_error: 0.0864, 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: 0.175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3008, scimark_benchmark: 1862.4223, usercpu_time_millis: 5.097, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 4.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9131, kappa: 0.8237, kb_relative_information_score: 980.4709, mean_absolute_error: 0.1538, 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: 0.3113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5384, scimark_benchmark: 1865.5486, usercpu_time_millis: 2.05, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1276.0006, mean_absolute_error: 0.0416, 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: 0.0843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.197, scimark_benchmark: 1846.5618, usercpu_time_millis: 3.25, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1277.397, mean_absolute_error: 0.0416, 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: 0.0843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.1853, scimark_benchmark: 1872.4216, usercpu_time_millis: 4.898, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 4.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1295.5252, mean_absolute_error: 0.0326, 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: 0.066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1846, scimark_benchmark: 1857.5988, usercpu_time_millis: 3.144, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 2.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9438, kappa: 0.8859, kb_relative_information_score: 999.7043, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9442, predictive_accuracy: 0.9439, prior_entropy: 0.9912, recall: 0.9439, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4539, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 2.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1285.9826, mean_absolute_error: 0.0371, 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: 0.0751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.1888, scimark_benchmark: 1867.1999, usercpu_time_millis: 4.833, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 4.381,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1241.8263, mean_absolute_error: 0.0538, 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: 0.109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2671, scimark_benchmark: 1866.6776, usercpu_time_millis: 2.746, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 2.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9364, kappa: 0.8709, kb_relative_information_score: 983.4522, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9373, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4636, scimark_benchmark: 1867.4545, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1215.2775, mean_absolute_error: 0.065, 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: 0.1316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2886, scimark_benchmark: 1845.1969, usercpu_time_millis: 2.728, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 2.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 1227.1298, mean_absolute_error: 0.0601, 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: 0.1216, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2767, scimark_benchmark: 1854.3038, usercpu_time_millis: 5.482, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 5.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.241, 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: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1861.7123, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1005.236, mean_absolute_error: 0.1426, 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: 0.2887, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5177, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.761, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1250.6167, mean_absolute_error: 0.0536, 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: 0.1085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2097, scimark_benchmark: 1862.4126, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9193, kappa: 0.8362, kb_relative_information_score: 841.5321, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9218, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5344, scimark_benchmark: 1857.1406, usercpu_time_millis: 2.868, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 2.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1301.5237, mean_absolute_error: 0.0296, 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: 0.0598, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1846, scimark_benchmark: 1867.725, usercpu_time_millis: 2.504, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 2.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.981, kappa: 0.9615, kb_relative_information_score: 1230.9159, mean_absolute_error: 0.0581, 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: 0.1177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.2761, scimark_benchmark: 1863.4702, usercpu_time_millis: 2.027, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0413, 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: 1869.1029, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1234.7652, mean_absolute_error: 0.0586, 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: 0.1186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2485, scimark_benchmark: 1863.9794, usercpu_time_millis: 4.689, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 4.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.2281, mean_absolute_error: 0.0315, 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: 0.0638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1793, scimark_benchmark: 1867.1999, usercpu_time_millis: 6.035, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 5.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0694, 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: 1857.66, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1281.8546, mean_absolute_error: 0.0385, 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: 0.0779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2006, scimark_benchmark: 1870.8644, usercpu_time_millis: 6.037, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 5.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9592, kappa: 0.9173, kb_relative_information_score: 1106.1192, mean_absolute_error: 0.1085, 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: 0.2197, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3851, scimark_benchmark: 1860.7227, usercpu_time_millis: 6.422, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 5.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1105.6926, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3369, scimark_benchmark: 1864.4376, usercpu_time_millis: 7.041, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 6.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1201.9297, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3033, scimark_benchmark: 1867.1999, usercpu_time_millis: 6.849, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 6.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1236.7364, mean_absolute_error: 0.0595, 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: 0.1205, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.111, root_relative_squared_error: 0.2235, scimark_benchmark: 1862.8707, usercpu_time_millis: 7.618, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 6.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9159, kappa: 0.8295, kb_relative_information_score: 1019.1689, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5017, scimark_benchmark: 1580.9097, usercpu_time_millis: 5.723, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 5.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1205.7435, mean_absolute_error: 0.0718, 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: 0.1454, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2648, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.922, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 2.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1298.1338, mean_absolute_error: 0.0313, 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: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.1839, scimark_benchmark: 1860.9209, usercpu_time_millis: 6.648, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 6.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1299.6036, mean_absolute_error: 0.0306, 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: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1825, scimark_benchmark: 1584.1913, usercpu_time_millis: 7.135, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 6.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 734.1707, mean_absolute_error: 0.2498, 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: 0.5057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6897, scimark_benchmark: 1844.9718, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 2.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9036, kappa: 0.8043, kb_relative_information_score: 677.6917, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9084, predictive_accuracy: 0.9045, prior_entropy: 0.9912, recall: 0.9045, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6296, scimark_benchmark: 1853.4699, usercpu_time_millis: 2.763, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0473, 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: 1869.1029, usercpu_time_millis: 0.716, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8531, kappa: 0.7039, kb_relative_information_score: 773.5993, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8551, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6536, scimark_benchmark: 1871.2729, usercpu_time_millis: 0.449, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9649, kappa: 0.9289, kb_relative_information_score: 1178.9891, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3343, scimark_benchmark: 1873.5368, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9665, kappa: 0.9322, kb_relative_information_score: 992.9135, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4258, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.702, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1004.8518, mean_absolute_error: 0.1428, 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: 0.2892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5172, scimark_benchmark: 1869.7524, usercpu_time_millis: 1.072, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9504, kappa: 0.8994, kb_relative_information_score: 999.8096, mean_absolute_error: 0.153, 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: 0.3098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4519, scimark_benchmark: 1874.977, usercpu_time_millis: 1.134, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8589, kappa: 0.7154, kb_relative_information_score: 659.6851, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8604, predictive_accuracy: 0.8586, prior_entropy: 0.9912, recall: 0.8586, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6747, scimark_benchmark: 1854.8954, usercpu_time_millis: 0.584, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1111.9756, mean_absolute_error: 0.1123, 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: 0.2275, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3306, scimark_benchmark: 1865.9581, usercpu_time_millis: 1.036, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.813,

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