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: 0.9487, f_measure: 0.879, kappa: 0.755, kb_relative_information_score: 614.0643, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.879, predictive_accuracy: 0.879, prior_entropy: 0.9912, recall: 0.879, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6797, scimark_benchmark: 1775.2473, usercpu_time_millis: 0.48, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1235.3541, mean_absolute_error: 0.0569, 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: 0.1153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2665, scimark_benchmark: 1844.8398, usercpu_time_millis: 8.706, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 7.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9621, kappa: 0.9233, kb_relative_information_score: 1227.993, mean_absolute_error: 0.0553, 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: 0.112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3295, scimark_benchmark: 1861.8971, usercpu_time_millis: 2.001, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1079.0888, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.3999, scimark_benchmark: 1736.2365, usercpu_time_millis: 1.862, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.0504, 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: 1853.5834, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1235.3181, mean_absolute_error: 0.0567, 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: 0.1148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2686, scimark_benchmark: 1701.7804, usercpu_time_millis: 4.505, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 4.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3966, kb_relative_information_score: -0.6012, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1861.896, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1239.9642, 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: 0.1069, root_relative_squared_error: 0.2151, scimark_benchmark: 1730.2249, usercpu_time_millis: 9.64, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 8.339,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1246.4863, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.289, scimark_benchmark: 1774.515, usercpu_time_millis: 1.052, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1193.156, mean_absolute_error: 0.0783, 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: 0.1586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2635, scimark_benchmark: 1860.8554, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1313.6296, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.2112, scimark_benchmark: 1869.6309, usercpu_time_millis: 13.699, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 12.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1304.5962, mean_absolute_error: 0.0283, 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: 0.0573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.18, scimark_benchmark: 1854.6858, usercpu_time_millis: 3.094, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 2.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1263.4794, mean_absolute_error: 0.0467, 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: 0.0945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, scimark_benchmark: 1932.865, usercpu_time_millis: 7.123, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 6.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9268, kappa: 0.8513, kb_relative_information_score: 1029.6822, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9284, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.4698, scimark_benchmark: 1868.1832, usercpu_time_millis: 6.392, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 5.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9208, kappa: 0.8392, kb_relative_information_score: 954.0506, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9233, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4893, scimark_benchmark: 1761.7662, usercpu_time_millis: 0.843, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9123, kappa: 0.8221, kb_relative_information_score: 950.0263, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9128, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5406, scimark_benchmark: 781.2235, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 1185.4107, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9912, recall: 0.957, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3635, scimark_benchmark: 1853.0696, usercpu_time_millis: 2.915, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 2.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1252.6075, mean_absolute_error: 0.0494, 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: 0.1001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.2528, scimark_benchmark: 1848.6702, usercpu_time_millis: 6.429, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 5.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1256.5271, mean_absolute_error: 0.051, 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: 0.1032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2034, scimark_benchmark: 1767.9723, usercpu_time_millis: 4.151, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 3.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1264.1511, mean_absolute_error: 0.0447, 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: 0.0906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.2397, scimark_benchmark: 1852.0263, usercpu_time_millis: 3.266, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1242.0889, mean_absolute_error: 0.0536, 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: 0.1086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2678, scimark_benchmark: 1857.1406, usercpu_time_millis: 4.115, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 3.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1273.8681, mean_absolute_error: 0.0416, 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: 0.0843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2121, scimark_benchmark: 1862.1704, usercpu_time_millis: 6.854, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 6.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1072.3324, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4003, scimark_benchmark: 1862.4126, usercpu_time_millis: 3.127, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 2.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.014, 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: 1825.4668, usercpu_time_millis: 1.448, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1267.8292, mean_absolute_error: 0.0442, 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: 0.0895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2188, scimark_benchmark: 1757.5087, usercpu_time_millis: 4.637, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 4.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1185.4329, mean_absolute_error: 0.08, 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: 0.1619, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.2861, scimark_benchmark: 1855.1969, usercpu_time_millis: 6.471, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 5.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1267.0704, mean_absolute_error: 0.044, 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: 0.0891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2329, scimark_benchmark: 1846.385, usercpu_time_millis: 11.142, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 10.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1313.4082, mean_absolute_error: 0.0245, 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: 0.0497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1669, scimark_benchmark: 1741.7815, usercpu_time_millis: 2.296, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 2.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.8681, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6957, scimark_benchmark: 1793.212, usercpu_time_millis: 1.585, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1295.0191, mean_absolute_error: 0.032, 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: 0.0648, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2069, scimark_benchmark: 1847.4043, usercpu_time_millis: 9.245, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 8.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1146.1341, mean_absolute_error: 0.0981, 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: 0.1987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.3027, scimark_benchmark: 1847.7053, usercpu_time_millis: 3.813, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 3.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9268, kappa: 0.8513, kb_relative_information_score: 1005.445, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9285, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.4787, scimark_benchmark: 1843.7226, usercpu_time_millis: 2.162, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0922, 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: 1753.8378, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1007.5439, mean_absolute_error: 0.1418, 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: 0.2871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5162, scimark_benchmark: 1841.6691, usercpu_time_millis: 10.631, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 9.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1105.3938, mean_absolute_error: 0.1147, 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: 0.2323, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3372, scimark_benchmark: 1722.2373, usercpu_time_millis: 3.168, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 2.733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1228.7835, mean_absolute_error: 0.0615, 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: 0.1245, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2478, scimark_benchmark: 2028.3763, usercpu_time_millis: 5.608, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 5.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1229.1706, mean_absolute_error: 0.0619, 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: 0.1253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2426, scimark_benchmark: 2048.3669, usercpu_time_millis: 5.165, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 4.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1306.7731, mean_absolute_error: 0.0273, 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: 0.0553, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.1785, scimark_benchmark: 1869.7037, usercpu_time_millis: 3.266, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 3.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1260.7673, mean_absolute_error: 0.0466, 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: 0.0944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2394, scimark_benchmark: 1869.6309, usercpu_time_millis: 9.979, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 9.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1252.4714, mean_absolute_error: 0.0511, 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: 0.1035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, scimark_benchmark: 1746.1701, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.8952, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6962, scimark_benchmark: 1746.5708, usercpu_time_millis: 1.148, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1181.62, mean_absolute_error: 0.0813, 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: 0.1647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.293, scimark_benchmark: 1704.3586, usercpu_time_millis: 9.58, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 8.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9474, kappa: 0.8934, kb_relative_information_score: 1079.7865, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9477, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4111, scimark_benchmark: 1739.8218, usercpu_time_millis: 2.137, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9563, kappa: 0.9114, kb_relative_information_score: 1037.9915, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4238, scimark_benchmark: 1736.0929, usercpu_time_millis: 6.427, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 5.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1295.0784, mean_absolute_error: 0.0319, 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: 0.0645, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2113, scimark_benchmark: 1785.4972, usercpu_time_millis: 9.896, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 9.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0345, 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: 1744.4527, usercpu_time_millis: 2.235, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1317.8302, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285, scimark_benchmark: 1749.4079, usercpu_time_millis: 15.068, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 14.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1000.7622, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4189, scimark_benchmark: 1765.0905, usercpu_time_millis: 5.166, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 4.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1274.3958, mean_absolute_error: 0.0421, 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: 0.0853, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2011, scimark_benchmark: 1874.4489, usercpu_time_millis: 1.435, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8669, kappa: 0.7312, kb_relative_information_score: 777.8721, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8679, predictive_accuracy: 0.8666, prior_entropy: 0.9912, recall: 0.8666, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6168, scimark_benchmark: 1876.6882, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1267.9425, mean_absolute_error: 0.0437, 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: 0.0884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2317, scimark_benchmark: 1725.8582, usercpu_time_millis: 10.058, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 9.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0489, 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: 1766.9427, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1185.9542, mean_absolute_error: 0.0818, 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: 0.1656, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2653, scimark_benchmark: 1863.9124, usercpu_time_millis: 7.363, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 6.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1278.0801, mean_absolute_error: 0.0404, 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: 0.0819, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.1988, scimark_benchmark: 1744.3284, usercpu_time_millis: 2.923, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9737, kappa: 0.9467, kb_relative_information_score: 1097.3259, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.352, scimark_benchmark: 790.5689, usercpu_time_millis: 8.792, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 7.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1252.6529, mean_absolute_error: 0.0527, 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: 0.1066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2078, scimark_benchmark: 790.2522, usercpu_time_millis: 8.189, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 7.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1246.8908, mean_absolute_error: 0.0553, 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: 0.1119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.2119, scimark_benchmark: 2013.734, usercpu_time_millis: 4.042, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 3.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1269.5742, mean_absolute_error: 0.0426, 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: 0.0863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2337, scimark_benchmark: 2030.7131, usercpu_time_millis: 2.686, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 2.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 971.5699, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4402, scimark_benchmark: 1945.0504, usercpu_time_millis: 2.535, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 2.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1172.7743, mean_absolute_error: 0.0837, 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: 0.1694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3112, scimark_benchmark: 1743.4678, usercpu_time_millis: 4.223, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 3.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1254.3618, mean_absolute_error: 0.0488, 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: 0.0988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2499, scimark_benchmark: 1862.4223, usercpu_time_millis: 5.979, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 5.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9181, kappa: 0.8337, kb_relative_information_score: 1006.5652, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9191, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5073, scimark_benchmark: 1871.2001, usercpu_time_millis: 2.722, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 2.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8944, kappa: 0.7865, kb_relative_information_score: 763.1138, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8948, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.5928, scimark_benchmark: 1740.6923, usercpu_time_millis: 1.765, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0615, 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: 1872.6571, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9149, kappa: 0.8271, kb_relative_information_score: 748.1452, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9179, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5881, scimark_benchmark: 2136.4951, usercpu_time_millis: 2.861, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 2.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1288.4336, mean_absolute_error: 0.0348, 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: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2137, scimark_benchmark: 1871.2001, usercpu_time_millis: 3.352, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9788, kappa: 0.9571, kb_relative_information_score: 1187.5475, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2944, scimark_benchmark: 1946.6613, usercpu_time_millis: 3.158, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 2.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1210.8611, mean_absolute_error: 0.0706, 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: 0.1429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2483, scimark_benchmark: 1864.9656, usercpu_time_millis: 3.807, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 3.398,

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