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: 0.9901, f_measure: 0.9549, kappa: 0.9093, kb_relative_information_score: 1146.4945, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9583, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.3969, scimark_benchmark: 1314.4342, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1337.5291, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1159, scimark_benchmark: 1307.6136, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1303.9298, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2227, scimark_benchmark: 1296.8151, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1324.4973, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1779, scimark_benchmark: 1300.198, usercpu_time_millis: 0.618, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7906, kappa: 0.5752, kb_relative_information_score: 426.9023, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8005, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1292.822, usercpu_time_millis: 15.261, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 15.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8793, kappa: 0.7551, kb_relative_information_score: 922.2436, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8801, predictive_accuracy: 0.8797, prior_entropy: 0.9912, recall: 0.8797, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.5784, scimark_benchmark: 1318.2674, usercpu_time_millis: 9.4, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 9.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9029, kappa: 0.8032, kb_relative_information_score: 999.1534, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.903, predictive_accuracy: 0.9031, prior_entropy: 0.9912, recall: 0.9031, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.525, scimark_benchmark: 1317.6064, usercpu_time_millis: 6.713, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 6.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.781, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0093, root_relative_squared_error: 0.0188, scimark_benchmark: 1310.4108, usercpu_time_millis: 2.32, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 2.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1308.5473, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9852, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2346, scimark_benchmark: 1288.722, usercpu_time_millis: 4.866, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.5548, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0097, root_relative_squared_error: 0.0195, scimark_benchmark: 1319.0375, usercpu_time_millis: 2.902, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 2.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.6706, kappa: 0.3374, kb_relative_information_score: 265.7487, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6907, predictive_accuracy: 0.6837, prior_entropy: 0.9912, recall: 0.6837, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9081, scimark_benchmark: 1313.3425, usercpu_time_millis: 2.189, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8633, kappa: 0.7226, kb_relative_information_score: 861.4939, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8638, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6172, scimark_benchmark: 1301.4157, usercpu_time_millis: 2.386, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1367.595, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.015, scimark_benchmark: 1317.3211, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.1095, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1801, scimark_benchmark: 1300.7777, usercpu_time_millis: 0.495, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.6251, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.1861, scimark_benchmark: 1319.8436, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1356.8979, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0637, scimark_benchmark: 1306.8251, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.952, kappa: 0.9035, kb_relative_information_score: 1135.7752, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9558, predictive_accuracy: 0.9519, prior_entropy: 0.9912, recall: 0.9519, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4063, scimark_benchmark: 1307.6005, usercpu_time_millis: 3.339, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 3.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1366.0262, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0109, root_relative_squared_error: 0.0219, scimark_benchmark: 1310.6883, usercpu_time_millis: 1.073, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1367.8542, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0349, scimark_benchmark: 1296.2341, usercpu_time_millis: 0.811, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.2999, mean_absolute_error: 0.0205, 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: 0.0414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1802, scimark_benchmark: 1302.4448, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 1.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.9532, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.1859, scimark_benchmark: 1297.7566, usercpu_time_millis: 1.136, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7906, kappa: 0.5752, kb_relative_information_score: 427.241, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8005, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1297.2352, usercpu_time_millis: 36.896, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 36.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8992, kappa: 0.7957, kb_relative_information_score: 992.1012, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8994, prior_entropy: 0.9912, recall: 0.8994, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5332, scimark_benchmark: 1314.9076, usercpu_time_millis: 8.952, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 8.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 1355.754, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9912, recall: 0.9956, relative_absolute_error: 0.0132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.098, scimark_benchmark: 1316.7753, usercpu_time_millis: 2.956, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 2.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9796, kappa: 0.9589, kb_relative_information_score: 1299.483, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9805, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.259, scimark_benchmark: 1316.5572, usercpu_time_millis: 5.189, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 5.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8662, kappa: 0.7285, kb_relative_information_score: 875.0078, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8668, predictive_accuracy: 0.8666, prior_entropy: 0.9912, recall: 0.8666, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6093, scimark_benchmark: 1289.0501, usercpu_time_millis: 2.424, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7862, kappa: 0.5663, kb_relative_information_score: 418.9262, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7956, predictive_accuracy: 0.7901, prior_entropy: 0.9912, recall: 0.7901, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8404, scimark_benchmark: 1316.3138, usercpu_time_millis: 2.719, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8903, kappa: 0.7801, kb_relative_information_score: 992.5289, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8971, predictive_accuracy: 0.8899, prior_entropy: 0.9912, recall: 0.8899, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5757, scimark_benchmark: 1322.0368, usercpu_time_millis: 5.088, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9306, kappa: 0.8591, kb_relative_information_score: 1085.9559, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.939, predictive_accuracy: 0.9315, prior_entropy: 0.9912, recall: 0.9315, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4344, scimark_benchmark: 1300.5322, usercpu_time_millis: 6.968, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 6.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1322.0136, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.093, root_relative_squared_error: 0.1871, scimark_benchmark: 1316.4788, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.3178, mean_absolute_error: 0.019, 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: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.1732, scimark_benchmark: 1314.9649, usercpu_time_millis: 0.627, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1306.1419, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.2182, scimark_benchmark: 1293.9102, usercpu_time_millis: 0.791, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.5551, kappa: 0.1354, kb_relative_information_score: 94.1706, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6, predictive_accuracy: 0.5969, prior_entropy: 0.9912, recall: 0.5969, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9688, scimark_benchmark: 1295.1846, usercpu_time_millis: 2.454, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 2.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9666, kappa: 0.9326, kb_relative_information_score: 1190.3801, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9688, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3572, scimark_benchmark: 1313.8252, usercpu_time_millis: 2.152, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1345.3864, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1131, scimark_benchmark: 1303.1408, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.198,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1243.2911, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.2955, scimark_benchmark: 1314.6566, usercpu_time_millis: 1.397, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1322.808, mean_absolute_error: 0.0197, 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: 0.0399, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.1729, scimark_benchmark: 1300.9835, usercpu_time_millis: 0.703, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1346.1091, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1106, scimark_benchmark: 1296.8745, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1341.6157, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.0976, scimark_benchmark: 1293.9619, usercpu_time_millis: 0.737, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1323.8013, mean_absolute_error: 0.0192, 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: 0.0389, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1718, scimark_benchmark: 1315.6506, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1318.1535, mean_absolute_error: 0.0213, 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: 0.0431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1826, scimark_benchmark: 1313.859, usercpu_time_millis: 1.623, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1321.781, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.1886, scimark_benchmark: 1316.1725, usercpu_time_millis: 0.446, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1341.5604, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.098, scimark_benchmark: 1312.4096, usercpu_time_millis: 0.781, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.5688, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.1859, scimark_benchmark: 1311.9, usercpu_time_millis: 0.429, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9132, kappa: 0.824, kb_relative_information_score: 1026.214, mean_absolute_error: 0.1332, 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: 0.2696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.5016, scimark_benchmark: 1290.4794, usercpu_time_millis: 14.202, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 14.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9876, kappa: 0.975, kb_relative_information_score: 1328.5115, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9879, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.1879, scimark_benchmark: 1320.4519, usercpu_time_millis: 5.149, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 5.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8604, kappa: 0.7185, kb_relative_information_score: 845.6142, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8915, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.5986, scimark_benchmark: 1294.4348, usercpu_time_millis: 5.719, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 5.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9142, kappa: 0.8291, kb_relative_information_score: 1126.6856, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9279, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.245, root_relative_squared_error: 0.493, scimark_benchmark: 1315.6806, usercpu_time_millis: 5.747, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 5.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7695, kappa: 0.5326, kb_relative_information_score: 591.5922, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7797, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7595, scimark_benchmark: 1293.1837, usercpu_time_millis: 1.983, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1324.0809, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1816, scimark_benchmark: 1308.632, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1321.4387, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1737, scimark_benchmark: 1316.2195, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1262.8614, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9814, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2693, scimark_benchmark: 1319.111, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6059, kappa: 0.2165, kb_relative_information_score: 170.4367, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6343, predictive_accuracy: 0.6297, prior_entropy: 0.9912, recall: 0.6297, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9403, scimark_benchmark: 1312.9609, usercpu_time_millis: 2.229, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 2.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9541, kappa: 0.9071, kb_relative_information_score: 1215.6361, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9542, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3482, scimark_benchmark: 1288.6904, usercpu_time_millis: 1.689, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1362.0777, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.038, scimark_benchmark: 1318.2617, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8474, kappa: 0.6952, kb_relative_information_score: 870.2728, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8571, predictive_accuracy: 0.8469, prior_entropy: 0.9912, recall: 0.8469, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6569, scimark_benchmark: 1290.935, usercpu_time_millis: 4.742, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 4.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 1070.3146, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4355, scimark_benchmark: 1286.3792, usercpu_time_millis: 1.381, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1319.9958, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.192, scimark_benchmark: 1300.2569, usercpu_time_millis: 0.442, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7906, kappa: 0.5752, kb_relative_information_score: 427.0243, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8005, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1297.419, usercpu_time_millis: 15.539, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 15.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9626, kappa: 0.9241, kb_relative_information_score: 1201.2547, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9652, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3278, scimark_benchmark: 1298.0026, usercpu_time_millis: 7.289, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 7.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.8929, kappa: 0.7881, kb_relative_information_score: 1062.4229, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9137, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5036, scimark_benchmark: 1297.5517, usercpu_time_millis: 6.036, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 5.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1367.9628, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0118, root_relative_squared_error: 0.0237, scimark_benchmark: 1306.3771, usercpu_time_millis: 3.571, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 3.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1319.2737, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.189, scimark_benchmark: 1309.2576, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8466, kappa: 0.6938, kb_relative_information_score: 856.517, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8566, predictive_accuracy: 0.8462, prior_entropy: 0.9912, recall: 0.8462, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6665, scimark_benchmark: 1302.3393, usercpu_time_millis: 5.369, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 5.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8514, kappa: 0.6984, kb_relative_information_score: 728.8253, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8523, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6796, scimark_benchmark: 1304.2053, usercpu_time_millis: 2.015, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9513, kappa: 0.9018, kb_relative_information_score: 1062.4725, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9535, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.46, scimark_benchmark: 1298.3989, usercpu_time_millis: 2.121, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7681, kappa: 0.5297, kb_relative_information_score: 387.2895, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7778, predictive_accuracy: 0.7726, prior_entropy: 0.9912, recall: 0.7726, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8555, scimark_benchmark: 1319.1783, usercpu_time_millis: 2.304, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 2.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1315.2591, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.1976, scimark_benchmark: 1290.7718, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1364.9741, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0197, scimark_benchmark: 1301.8524, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.403,

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