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: 0.9776, f_measure: 0.918, kappa: 0.8335, kb_relative_information_score: 973.7786, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9197, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5109, scimark_benchmark: 1801.8401, usercpu_time_millis: 1.84, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0073, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1838.1863, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0469, 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: 1837.1843, usercpu_time_millis: 1.019, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8893, kappa: 0.7752, kb_relative_information_score: 565.1009, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8967, predictive_accuracy: 0.8907, prior_entropy: 0.9912, recall: 0.8907, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6965, scimark_benchmark: 1819.8553, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9276, kappa: 0.8532, kb_relative_information_score: 1047.1342, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9283, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4657, scimark_benchmark: 1865.3572, usercpu_time_millis: 0.635, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8908, kappa: 0.7782, kb_relative_information_score: 413.2909, mean_absolute_error: 0.3725, 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: 0.7543, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7829, scimark_benchmark: 1811.5277, usercpu_time_millis: 2.023, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0353, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1852.8712, usercpu_time_millis: 1.877, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1159.8082, mean_absolute_error: 0.0929, 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: 0.1881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.143, root_relative_squared_error: 0.2877, scimark_benchmark: 1809.2617, usercpu_time_millis: 2.162, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1288.131, mean_absolute_error: 0.036, 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: 0.0728, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1896, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.502, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9209, kappa: 0.8393, kb_relative_information_score: 998.3282, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9229, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4847, scimark_benchmark: 1835.9648, usercpu_time_millis: 2.308, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 2.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1182.5771, mean_absolute_error: 0.0813, 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: 0.1646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.288, scimark_benchmark: 1779.2734, usercpu_time_millis: 8.768, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 7.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1320.0835, mean_absolute_error: 0.021, 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: 0.0426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1729, scimark_benchmark: 1868.1196, usercpu_time_millis: 2.1, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1007.1125, mean_absolute_error: 0.1416, 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: 0.2867, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.5254, scimark_benchmark: 1864.3739, usercpu_time_millis: 1.896, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1207.9085, mean_absolute_error: 0.0699, 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: 0.1415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.2743, scimark_benchmark: 1810.6215, usercpu_time_millis: 3.384, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 3.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1298.8106, mean_absolute_error: 0.0303, 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: 0.0614, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2041, scimark_benchmark: 1798.3631, usercpu_time_millis: 4.526, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 4.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1215.2065, mean_absolute_error: 0.069, 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: 0.1398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2409, scimark_benchmark: 1814.9814, usercpu_time_millis: 3.609, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1278.4872, mean_absolute_error: 0.0404, 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: 0.0818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.1962, scimark_benchmark: 1865.4271, usercpu_time_millis: 3.862, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 3.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1293.9292, mean_absolute_error: 0.0325, 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: 0.0657, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2084, scimark_benchmark: 1872.4216, usercpu_time_millis: 4.864, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 4.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.8178, mean_absolute_error: 0.251, 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: 0.5083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.694, scimark_benchmark: 1807.7963, usercpu_time_millis: 3.38, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 2.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1181.5129, mean_absolute_error: 0.0832, 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: 0.1685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2741, scimark_benchmark: 1811.2727, usercpu_time_millis: 0.413, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 619.1553, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6786, scimark_benchmark: 1810.0644, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 732.009, mean_absolute_error: 0.251, 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: 0.5082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6946, scimark_benchmark: 1808.413, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9014, kappa: 0.7997, kb_relative_information_score: 648.5022, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9065, predictive_accuracy: 0.9023, prior_entropy: 0.9912, recall: 0.9023, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6467, scimark_benchmark: 1811.9223, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1223.4987, mean_absolute_error: 0.0632, 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: 0.1279, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2595, scimark_benchmark: 1804.2247, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.2307, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1791.8147, usercpu_time_millis: 1.151, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9119, kappa: 0.821, kb_relative_information_score: 849.699, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9153, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5428, scimark_benchmark: 1803.2198, usercpu_time_millis: 1.551, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1288.5578, mean_absolute_error: 0.0353, 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: 0.0715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.197, scimark_benchmark: 1788.9872, usercpu_time_millis: 2.804, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 2.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.0732, 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: 1825.8609, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 1076.233, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4163, scimark_benchmark: 1807.3041, usercpu_time_millis: 3.765, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 3.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1121.5893, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3248, scimark_benchmark: 1823.9243, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9349, kappa: 0.868, kb_relative_information_score: 1045.8732, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9357, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4488, scimark_benchmark: 1827.1175, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.932, kappa: 0.8619, kb_relative_information_score: 1032.995, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9331, predictive_accuracy: 0.9322, prior_entropy: 0.9912, recall: 0.9322, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4594, scimark_benchmark: 1807.3702, usercpu_time_millis: 4.327, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 3.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1301.2315, mean_absolute_error: 0.0297, 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: 0.06, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.1856, scimark_benchmark: 1853.7115, usercpu_time_millis: 0.532, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1279.3492, mean_absolute_error: 0.0379, 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: 0.0767, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2357, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.62, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1123.9485, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3487, scimark_benchmark: 1779.2734, usercpu_time_millis: 8.711, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 7.923,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1267.9922, mean_absolute_error: 0.0436, 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: 0.0883, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2324, scimark_benchmark: 1831.4747, usercpu_time_millis: 7.97, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 7.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1219.158, mean_absolute_error: 0.0673, 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: 0.1362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.238, scimark_benchmark: 1819.8743, usercpu_time_millis: 7.325, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 6.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1213.8728, mean_absolute_error: 0.0695, 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: 0.1406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2438, scimark_benchmark: 1829.0184, usercpu_time_millis: 7.632, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 6.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1199.3492, mean_absolute_error: 0.0713, 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: 0.1444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3043, scimark_benchmark: 1840.7273, usercpu_time_millis: 4.87, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 4.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1209.6889, mean_absolute_error: 0.0691, 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: 0.14, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2732, scimark_benchmark: 1829.0184, usercpu_time_millis: 8.366, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 7.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.8887, kappa: 0.775, kb_relative_information_score: 761.9233, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8893, predictive_accuracy: 0.8885, prior_entropy: 0.9912, recall: 0.8885, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5938, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.665, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1154.8267, mean_absolute_error: 0.0942, 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: 0.1908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.2987, scimark_benchmark: 1849.1868, usercpu_time_millis: 8.339, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 7.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9164, kappa: 0.8301, kb_relative_information_score: 782.0721, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.5704, scimark_benchmark: 1839.7194, usercpu_time_millis: 4.545, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 4.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1257.118, mean_absolute_error: 0.0506, 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: 0.1025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2044, scimark_benchmark: 1791.3677, usercpu_time_millis: 9.908, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 8.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9416, kappa: 0.8817, kb_relative_information_score: 1147.7364, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4157, scimark_benchmark: 1828.3963, usercpu_time_millis: 8.618, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 8.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1280.7545, mean_absolute_error: 0.0395, 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: 0.0799, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.1929, scimark_benchmark: 1808.1106, usercpu_time_millis: 9.211, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 8.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1318.8965, mean_absolute_error: 0.019, 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: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.27, scimark_benchmark: 1837.2976, usercpu_time_millis: 4.585, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 4.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.1304, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1861.8406, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1315.9921, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.2633, scimark_benchmark: 1809.2617, usercpu_time_millis: 10.719, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 10.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8633, kappa: 0.7241, kb_relative_information_score: 785.2902, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8646, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6095, scimark_benchmark: 1862.1704, usercpu_time_millis: 3.309, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 2.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8953, kappa: 0.7874, kb_relative_information_score: 674.6458, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9016, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6339, scimark_benchmark: 1866.9264, usercpu_time_millis: 2.723, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 2.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9511, kappa: 0.9008, kb_relative_information_score: 1077.574, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4111, scimark_benchmark: 1871.4349, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9283, kappa: 0.8544, kb_relative_information_score: 1047.9825, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9297, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4528, scimark_benchmark: 1838.2529, usercpu_time_millis: 5.521, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 5.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1192.8689, mean_absolute_error: 0.0788, 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: 0.1595, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2596, scimark_benchmark: 1834.8401, usercpu_time_millis: 5.42, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 4.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1253.8692, mean_absolute_error: 0.0524, 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: 0.106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2035, scimark_benchmark: 1871.2001, usercpu_time_millis: 9.306, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 8.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9371, kappa: 0.8725, kb_relative_information_score: 876.0956, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9379, predictive_accuracy: 0.9373, prior_entropy: 0.9912, recall: 0.9373, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5069, scimark_benchmark: 1854.3038, usercpu_time_millis: 4.173, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 3.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.1393, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.057, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1290.5188, mean_absolute_error: 0.0339, 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: 0.0687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.211, scimark_benchmark: 1869.6309, usercpu_time_millis: 10.916, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 10.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9371, kappa: 0.8725, kb_relative_information_score: 1049.3886, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9379, predictive_accuracy: 0.9373, prior_entropy: 0.9912, recall: 0.9373, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4444, scimark_benchmark: 1864.6657, usercpu_time_millis: 1.432, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1283.6376, mean_absolute_error: 0.0369, 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: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2191, scimark_benchmark: 1837.8924, usercpu_time_millis: 8.839, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 8.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1180.448, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9725, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3171, scimark_benchmark: 1871.3925, usercpu_time_millis: 2.398, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 2.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1258.1536, mean_absolute_error: 0.0472, 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: 0.0956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2462, scimark_benchmark: 1811.9223, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8568, kappa: 0.7112, kb_relative_information_score: 762.1147, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8586, predictive_accuracy: 0.8564, prior_entropy: 0.9912, recall: 0.8564, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6289, scimark_benchmark: 1812.3071, usercpu_time_millis: 1.327, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1287.0001, mean_absolute_error: 0.0366, 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: 0.0741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1883, scimark_benchmark: 1799.2374, usercpu_time_millis: 0.354, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8931, kappa: 0.7828, kb_relative_information_score: 537.9167, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8997, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7139, scimark_benchmark: 1807.9211, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1197.5723, mean_absolute_error: 0.0749, 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: 0.1518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2764, scimark_benchmark: 1779.2734, usercpu_time_millis: 1.248, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0292, 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: 1860.1369, usercpu_time_millis: 1.277, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1317.2547, mean_absolute_error: 0.0224, 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: 0.0453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.1733, scimark_benchmark: 1869.1727, usercpu_time_millis: 7.193, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 6.671,

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