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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1124.1833, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3452, scimark_benchmark: 1811.2926, usercpu_time_millis: 3.649, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 3.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.3564, 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: 1807.2936, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1278.1858, mean_absolute_error: 0.041, 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: 0.083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1904, scimark_benchmark: 1760.3984, usercpu_time_millis: 4.171, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 3.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8639, kappa: 0.7252, kb_relative_information_score: 677.9779, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8649, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.661, scimark_benchmark: 1763.6282, usercpu_time_millis: 2.293, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.005, 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: 1757.3182, usercpu_time_millis: 2.272, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9208, kappa: 0.8392, kb_relative_information_score: 817.0476, mean_absolute_error: 0.227, 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: 0.4597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.5497, scimark_benchmark: 1863.4543, usercpu_time_millis: 3.764, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 3.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1133.6633, mean_absolute_error: 0.1041, 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: 0.2108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.307, scimark_benchmark: 1861.3087, usercpu_time_millis: 1.512, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.1372, 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: 1863.4543, usercpu_time_millis: 1.495, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1328.4186, mean_absolute_error: 0.0172, 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: 0.0347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1832, scimark_benchmark: 1861.8546, usercpu_time_millis: 5.102, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 4.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1313.9664, mean_absolute_error: 0.0247, 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: 0.05, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1671, scimark_benchmark: 1864.3435, usercpu_time_millis: 1.374, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1317.7235, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1494, scimark_benchmark: 1851.9719, usercpu_time_millis: 3.034, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 2.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: 0.001, 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: 1823.4342, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1214.9999, mean_absolute_error: 0.0677, 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: 0.1372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.2569, scimark_benchmark: 1805.337, usercpu_time_millis: 3.99, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1298.4575, mean_absolute_error: 0.0301, 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: 0.0609, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2126, scimark_benchmark: 1743.5398, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1270.6112, mean_absolute_error: 0.0451, 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: 0.0913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1846, scimark_benchmark: 2044.9689, usercpu_time_millis: 2.41, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1220.415, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.35, scimark_benchmark: 1869.817, usercpu_time_millis: 7.735, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 7.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1230.4523, mean_absolute_error: 0.0631, 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: 0.1278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2192, scimark_benchmark: 1871.8964, usercpu_time_millis: 4.071, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9665, kappa: 0.9321, kb_relative_information_score: 1166.6882, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3411, scimark_benchmark: 1868.1908, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1312.9688, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0766, root_relative_squared_error: 0.1541, scimark_benchmark: 1871.3742, usercpu_time_millis: 4.933, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 4.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9533, kappa: 0.9054, kb_relative_information_score: 1032.4853, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4274, scimark_benchmark: 1871.9676, usercpu_time_millis: 2.943, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9196, kappa: 0.8368, kb_relative_information_score: 1024.7262, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9203, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.494, scimark_benchmark: 1870.4105, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: 0.1623, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.399, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8776, kappa: 0.7524, kb_relative_information_score: 592.8965, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8778, predictive_accuracy: 0.8776, prior_entropy: 0.9912, recall: 0.8776, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6882, scimark_benchmark: 1870.9768, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1311.4083, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.1564, scimark_benchmark: 1840.1538, usercpu_time_millis: 9.981, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 9.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1238.7732, mean_absolute_error: 0.0595, 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: 0.1205, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2109, scimark_benchmark: 1871.4349, usercpu_time_millis: 6.213, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 5.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 978.3314, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4342, scimark_benchmark: 1859.9421, usercpu_time_millis: 5.703, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 5.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1325.8651, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.1443, scimark_benchmark: 1841.8406, usercpu_time_millis: 5.573, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 5.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1255.4266, mean_absolute_error: 0.0509, 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: 0.1031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2141, scimark_benchmark: 1861.833, usercpu_time_millis: 4.713, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 4.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8575, kappa: 0.7126, kb_relative_information_score: 770.8698, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8593, predictive_accuracy: 0.8571, prior_entropy: 0.9912, recall: 0.8571, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6195, scimark_benchmark: 1865.1205, usercpu_time_millis: 1.643, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1231.3449, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2741, scimark_benchmark: 1860.1976, usercpu_time_millis: 2.456, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9152, kappa: 0.8281, kb_relative_information_score: 987.808, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9157, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.526, scimark_benchmark: 1861.3749, usercpu_time_millis: 1.563, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 1006.3341, mean_absolute_error: 0.1422, 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: 0.288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5168, scimark_benchmark: 1861.8971, usercpu_time_millis: 0.618, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1324.7719, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.1465, scimark_benchmark: 1807.8277, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8575, kappa: 0.7127, kb_relative_information_score: 778.4029, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8595, predictive_accuracy: 0.8571, prior_entropy: 0.9912, recall: 0.8571, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6162, scimark_benchmark: 1825.6105, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1067.4782, mean_absolute_error: 0.1264, 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: 0.2558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029, scimark_benchmark: 1845.9861, usercpu_time_millis: 2.056, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.892,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1247.0204, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2027, scimark_benchmark: 1852.8712, usercpu_time_millis: 2.183, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 2.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1305.7011, mean_absolute_error: 0.0276, 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: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1908, scimark_benchmark: 1847.0646, usercpu_time_millis: 8.139, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 7.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1289.7725, mean_absolute_error: 0.0352, 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: 0.0713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.1905, scimark_benchmark: 1855.789, usercpu_time_millis: 6.746, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 6.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1292.1293, mean_absolute_error: 0.0354, 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: 0.0717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.082, root_relative_squared_error: 0.165, scimark_benchmark: 1821.2349, usercpu_time_millis: 3.176, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 2.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9132, kappa: 0.8241, kb_relative_information_score: 928.7211, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9132, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5428, scimark_benchmark: 2149.0624, usercpu_time_millis: 2.942, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8932, kappa: 0.7834, kb_relative_information_score: 779.7836, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8939, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.5817, scimark_benchmark: 2147.8242, usercpu_time_millis: 3.167, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 2.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1188.5334, mean_absolute_error: 0.079, 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: 0.1599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2808, scimark_benchmark: 1853.97, usercpu_time_millis: 3.055, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.1772, mean_absolute_error: 0.0282, 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: 0.0572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.096, root_relative_squared_error: 0.1931, scimark_benchmark: 1749.865, usercpu_time_millis: 6.439, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 6.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9349, kappa: 0.8679, kb_relative_information_score: 889.9258, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9358, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5037, scimark_benchmark: 1747.5421, usercpu_time_millis: 5.233, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1313.0929, mean_absolute_error: 0.0244, 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: 0.0494, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.1842, scimark_benchmark: 1867.0839, usercpu_time_millis: 4.566, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 4.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 890.792, mean_absolute_error: 0.1997, 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: 0.4044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.4976, scimark_benchmark: 1869.2942, usercpu_time_millis: 4.299, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 3.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8517, kappa: 0.7012, kb_relative_information_score: 736.3233, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.854, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6898, scimark_benchmark: 1859.9578, usercpu_time_millis: 0.125, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 968.1377, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4424, scimark_benchmark: 2046.9466, usercpu_time_millis: 4.684, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 4.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 732.0251, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.698, scimark_benchmark: 1859.1559, usercpu_time_millis: 0.521, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1242.635, mean_absolute_error: 0.0563, 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: 0.114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.2287, scimark_benchmark: 1871.2001, usercpu_time_millis: 7.331, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 6.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1176.1016, mean_absolute_error: 0.0836, 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: 0.1693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.2991, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0742, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1858.2223, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1264.046, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1913, scimark_benchmark: 1857.7844, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9178, kappa: 0.8331, kb_relative_information_score: 951.0449, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.4903, scimark_benchmark: 1863.5878, usercpu_time_millis: 1.696, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1225.7258, mean_absolute_error: 0.0622, 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: 0.1259, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2597, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.822, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 756.9151, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6726, scimark_benchmark: 1865.0934, usercpu_time_millis: 3.414, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 3.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9548, kappa: 0.9085, kb_relative_information_score: 1050.5985, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4185, scimark_benchmark: 2166.5275, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9416, kappa: 0.8816, kb_relative_information_score: 1035.1756, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4528, scimark_benchmark: 1871.2001, usercpu_time_millis: 5.009, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 4.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1115.6891, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3528, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.2, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 3.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1282.5012, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1702, scimark_benchmark: 1862.4768, usercpu_time_millis: 9.184, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 8.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1256.4444, mean_absolute_error: 0.0505, 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: 0.1022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2126, scimark_benchmark: 1862.5409, usercpu_time_millis: 8.951, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 8.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1286.0052, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.1677, scimark_benchmark: 1866.0068, usercpu_time_millis: 4.296, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 3.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.957, kappa: 0.9129, kb_relative_information_score: 913.2185, mean_absolute_error: 0.1918, 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: 0.3884, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4783, scimark_benchmark: 1726.7057, usercpu_time_millis: 4.666, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 3.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3966, kb_relative_information_score: -0.0699, 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: 1863.066, usercpu_time_millis: 1.692, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1147.1487, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3227, scimark_benchmark: 1870.8114, usercpu_time_millis: 3.979, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 3.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8731, kappa: 0.7429, kb_relative_information_score: 602.0019, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8731, predictive_accuracy: 0.8732, prior_entropy: 0.9912, recall: 0.8732, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6852, scimark_benchmark: 1858.6076, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9149, kappa: 0.8271, kb_relative_information_score: 847.5567, mean_absolute_error: 0.2144, 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: 0.4341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5368, scimark_benchmark: 1858.8261, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1289.4365, mean_absolute_error: 0.0365, 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: 0.0739, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.1692, scimark_benchmark: 1861.3087, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.766,

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