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: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1321.7877, mean_absolute_error: 0.0196, 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: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.1887, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.462, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7892, kappa: 0.5723, kb_relative_information_score: 424.472, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7987, predictive_accuracy: 0.793, prior_entropy: 0.9912, recall: 0.793, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8375, scimark_benchmark: 1884.8294, usercpu_time_millis: 3.572, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 3.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.908, kappa: 0.8136, kb_relative_information_score: 1024.738, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9081, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5046, scimark_benchmark: 1872.4216, usercpu_time_millis: 12.407, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 12.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9317, kappa: 0.8629, kb_relative_information_score: 1122.2493, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.937, predictive_accuracy: 0.9315, prior_entropy: 0.9912, recall: 0.9315, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.4779, scimark_benchmark: 1870.3382, usercpu_time_millis: 2.549, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1278.1236, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2688, scimark_benchmark: 1747.0265, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.0509, mean_absolute_error: 0.0191, 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: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.1726, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.604, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1357.3674, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0652, scimark_benchmark: 1871.668, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5342, kappa: 0.1054, kb_relative_information_score: 81.9032, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5859, predictive_accuracy: 0.5853, prior_entropy: 0.9912, recall: 0.5853, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9734, scimark_benchmark: 1876.7581, usercpu_time_millis: 2, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8984, kappa: 0.794, kb_relative_information_score: 995.7689, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8988, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5313, scimark_benchmark: 1767.3592, usercpu_time_millis: 5.304, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 5.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1362.6721, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0439, scimark_benchmark: 1861.1843, usercpu_time_millis: 0.697, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9702, kappa: 0.9397, kb_relative_information_score: 1264.5951, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9705, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.2867, scimark_benchmark: 1775.1662, usercpu_time_millis: 1.138, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.2332, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0107, root_relative_squared_error: 0.0216, scimark_benchmark: 1851.3688, usercpu_time_millis: 2.137, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 2.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1323.1778, mean_absolute_error: 0.0194, 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: 0.0394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1748, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.596, mean_absolute_error: 0.0189, 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: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1724, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8793, kappa: 0.756, kb_relative_information_score: 916.8476, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9031, predictive_accuracy: 0.8827, prior_entropy: 0.9912, recall: 0.8827, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5548, scimark_benchmark: 1752.106, usercpu_time_millis: 6.123, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 6.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1337.4555, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1175, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9178, kappa: 0.8332, kb_relative_information_score: 1053.0694, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9294, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.464, scimark_benchmark: 1868.6447, usercpu_time_millis: 5.884, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 5.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9731, kappa: 0.9456, kb_relative_information_score: 1288.4171, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9735, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2525, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.967, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9132, kappa: 0.824, kb_relative_information_score: 1023.6399, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9261, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.4837, scimark_benchmark: 1865.1666, usercpu_time_millis: 5.787, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 5.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.5369, kappa: 0.1103, kb_relative_information_score: 84.613, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5894, predictive_accuracy: 0.5875, prior_entropy: 0.9912, recall: 0.5875, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9725, scimark_benchmark: 1875.5079, usercpu_time_millis: 1.999, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.57, mean_absolute_error: 0.0189, 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: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.1727, scimark_benchmark: 1870.1619, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1323.1781, mean_absolute_error: 0.0195, 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: 0.0394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.1746, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1324.0258, mean_absolute_error: 0.0189, 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: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.1819, scimark_benchmark: 1870.2139, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7862, kappa: 0.5663, kb_relative_information_score: 418.4125, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7956, predictive_accuracy: 0.7901, prior_entropy: 0.9912, recall: 0.7901, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8404, scimark_benchmark: 1870.6721, usercpu_time_millis: 2.484, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 2.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1318.6556, mean_absolute_error: 0.0211, 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: 0.0427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1864.3739, usercpu_time_millis: 2.265, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 2.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.6262, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0122, root_relative_squared_error: 0.0245, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.895, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9658, kappa: 0.9312, kb_relative_information_score: 1255.1323, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9682, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3303, scimark_benchmark: 1874.6428, usercpu_time_millis: 2.516, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7424, kappa: 0.4779, kb_relative_information_score: 334.7399, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7522, predictive_accuracy: 0.7478, prior_entropy: 0.9912, recall: 0.7478, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8803, scimark_benchmark: 1878.1423, usercpu_time_millis: 2.008, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.8209, mean_absolute_error: 0.0193, 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: 0.0391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1752.6915, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1319.761, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1903, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1305.3321, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2194, scimark_benchmark: 1868.7188, usercpu_time_millis: 1.228, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1319.9802, mean_absolute_error: 0.0203, 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: 0.0411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.1917, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1367.736, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0142, root_relative_squared_error: 0.0286, scimark_benchmark: 1767.9327, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1323.6251, mean_absolute_error: 0.0191, 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: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1838, scimark_benchmark: 1863.9124, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1363.8222, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0533, scimark_benchmark: 1763.8715, usercpu_time_millis: 1.236, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.211,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1304.0672, mean_absolute_error: 0.0277, 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: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2016, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.539, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.525,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1318.6495, mean_absolute_error: 0.0205, 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: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1908, scimark_benchmark: 1765.9091, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.5625, mean_absolute_error: 0.0194, 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: 0.0393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.6302, kappa: 0.2984, kb_relative_information_score: 207.4097, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7549, predictive_accuracy: 0.6764, prior_entropy: 0.9912, recall: 0.6764, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9295, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.034, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1320.1239, mean_absolute_error: 0.0201, 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: 0.0407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.1899, scimark_benchmark: 1854.8318, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.52, kappa: 0.0576, kb_relative_information_score: 66.8056, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5433, predictive_accuracy: 0.5583, prior_entropy: 0.9912, recall: 0.5583, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9808, scimark_benchmark: 1885.8556, usercpu_time_millis: 1.943, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9672, kappa: 0.9334, kb_relative_information_score: 1137.5318, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3661, scimark_benchmark: 1873.4805, usercpu_time_millis: 0.829, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8427, kappa: 0.6838, kb_relative_information_score: 776.7634, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8814, predictive_accuracy: 0.8491, prior_entropy: 0.9912, recall: 0.8491, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6349, scimark_benchmark: 1872.4216, usercpu_time_millis: 5.544, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 5.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, f_measure: 0.6228, kappa: 0.2831, kb_relative_information_score: 198.1695, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7387, predictive_accuracy: 0.6691, prior_entropy: 0.9912, recall: 0.6691, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9332, scimark_benchmark: 1873.3476, usercpu_time_millis: 2.045, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8474, kappa: 0.6952, kb_relative_information_score: 865.3784, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8571, predictive_accuracy: 0.8469, prior_entropy: 0.9912, recall: 0.8469, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6596, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.455, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5448, kappa: 0.1204, kb_relative_information_score: 88.6165, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5932, predictive_accuracy: 0.5911, prior_entropy: 0.9912, recall: 0.5911, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9708, scimark_benchmark: 1876.23, usercpu_time_millis: 1.976, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1362.5923, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0192, root_relative_squared_error: 0.0387, scimark_benchmark: 1869.3925, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1342.0846, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.0977, scimark_benchmark: 1874.3338, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9707, kappa: 0.9406, kb_relative_information_score: 1140.7246, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3536, scimark_benchmark: 1750.3868, usercpu_time_millis: 0.727, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1322.1735, mean_absolute_error: 0.0195, 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: 0.0395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1866, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.449, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8527, kappa: 0.7009, kb_relative_information_score: 796.0515, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8543, predictive_accuracy: 0.8535, prior_entropy: 0.9912, recall: 0.8535, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6427, scimark_benchmark: 1887.8491, usercpu_time_millis: 1.658, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1344.8087, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1191, scimark_benchmark: 1858.7074, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765, scimark_benchmark: 1835.2024, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778, scimark_benchmark: 1771.8717, usercpu_time_millis: 0.107, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1361.0266, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0814, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765, scimark_benchmark: 1856.2927, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1346.9462, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1148, scimark_benchmark: 1841.2149, usercpu_time_millis: 0.251, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765, scimark_benchmark: 1845.4779, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1345.8717, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.117, scimark_benchmark: 1770.4721, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1361.0266, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0814, scimark_benchmark: 1856.7467, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1363.421, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0384, root_relative_squared_error: 0.0772, scimark_benchmark: 1859.5577, usercpu_time_millis: 0.229, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1357.4214, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0897, scimark_benchmark: 1841.2149, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1343.7675, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1212, scimark_benchmark: 1846.4401, usercpu_time_millis: 0.259, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765, scimark_benchmark: 1845.8794, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.81, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.0819, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1344.8087, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1191, scimark_benchmark: 1780.6818, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1364.4974, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.076, scimark_benchmark: 1788.8424, usercpu_time_millis: 0.263, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778, scimark_benchmark: 1852.0889, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1353.806, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.049, root_relative_squared_error: 0.0986, scimark_benchmark: 1831.0882, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.004,

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