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: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.1234, 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: 1213.0754, usercpu_time_millis: 2.222, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9694, kappa: 0.9381, kb_relative_information_score: 1250.0809, mean_absolute_error: 0.0462, 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: 0.0936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3156, scimark_benchmark: 1193.2975, usercpu_time_millis: 52.081, usercpu_time_millis_testing: 3.041, usercpu_time_millis_training: 49.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1333.5751, mean_absolute_error: 0.0159, 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: 0.0322, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.1474, scimark_benchmark: 1195.1657, usercpu_time_millis: 29.428, usercpu_time_millis_testing: 2.101, usercpu_time_millis_training: 27.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.0766, mean_absolute_error: 0.0221, 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: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1566, scimark_benchmark: 1205.0023, usercpu_time_millis: 54.882, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 51.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9145, kappa: 0.8266, kb_relative_information_score: 1006.8835, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.915, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5239, scimark_benchmark: 1196.342, usercpu_time_millis: 29.618, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 27.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 757.7377, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8567, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6347, scimark_benchmark: 1196.9731, usercpu_time_millis: 4.739, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 4.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1264.08, mean_absolute_error: 0.0472, 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: 0.0955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2049, scimark_benchmark: 1175.3193, usercpu_time_millis: 17.222, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 15.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0913, 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: 1211.9627, usercpu_time_millis: 5.967, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 5.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8611, kappa: 0.7197, kb_relative_information_score: 703.4654, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8625, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6495, scimark_benchmark: 1198.1899, usercpu_time_millis: 8.836, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 7.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0904, 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: 1202.6572, usercpu_time_millis: 3.826, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9138, kappa: 0.8251, kb_relative_information_score: 987.1399, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9142, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.536, scimark_benchmark: 1200.5476, usercpu_time_millis: 32.002, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 29.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1292.6343, mean_absolute_error: 0.0339, 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: 0.0687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1875, scimark_benchmark: 1198.6925, usercpu_time_millis: 30.711, usercpu_time_millis_testing: 2.189, usercpu_time_millis_training: 28.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.5796, mean_absolute_error: 0.0325, 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: 0.0657, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1593, scimark_benchmark: 1195.7307, usercpu_time_millis: 56.92, usercpu_time_millis_testing: 4.448, usercpu_time_millis_training: 52.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1322.1247, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1801, scimark_benchmark: 1206.6171, usercpu_time_millis: 26.041, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 24.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1184.8039, mean_absolute_error: 0.0827, 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: 0.1674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2617, scimark_benchmark: 1195.498, usercpu_time_millis: 36.319, usercpu_time_millis_testing: 3.092, usercpu_time_millis_training: 33.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0004, 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: 1205.8776, usercpu_time_millis: 13.762, usercpu_time_millis_testing: 2.096, usercpu_time_millis_training: 11.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1311.1769, mean_absolute_error: 0.0259, 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: 0.0525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.083, root_relative_squared_error: 0.167, scimark_benchmark: 1203.853, usercpu_time_millis: 53.36, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 49.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1321.0309, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.1949, scimark_benchmark: 1202.6671, usercpu_time_millis: 69.181, usercpu_time_millis_testing: 4.035, usercpu_time_millis_training: 65.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0657, 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: 1863.9794, usercpu_time_millis: 1.774, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1283.2136, mean_absolute_error: 0.0383, 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: 0.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1926, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8682, kappa: 0.7334, kb_relative_information_score: 750.5764, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8685, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6039, scimark_benchmark: 1751.4212, usercpu_time_millis: 0.699, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1232.6797, mean_absolute_error: 0.0596, 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: 0.1207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2464, scimark_benchmark: 1872.9496, usercpu_time_millis: 2.99, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9393, kappa: 0.8769, kb_relative_information_score: 1045.8842, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.94, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4451, scimark_benchmark: 1858.4861, usercpu_time_millis: 2.43, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1253.6381, mean_absolute_error: 0.0512, 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: 0.1036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2236, scimark_benchmark: 1854.8897, usercpu_time_millis: 2.401, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 2.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1239.9335, mean_absolute_error: 0.0572, 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: 0.1158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.2328, scimark_benchmark: 1854.8318, usercpu_time_millis: 4.048, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 3.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1217.7605, mean_absolute_error: 0.0678, 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: 0.1374, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2394, scimark_benchmark: 1860.9282, usercpu_time_millis: 6.322, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 5.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0679, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1853.4563, usercpu_time_millis: 1.129, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0534, 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: 1807.0209, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1211.1207, mean_absolute_error: 0.0707, 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: 0.1431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2457, scimark_benchmark: 1853.7415, usercpu_time_millis: 2.291, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 2.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0232, 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: 789.5549, usercpu_time_millis: 1.592, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1270.9325, mean_absolute_error: 0.0427, 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: 0.0865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.2166, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.046, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9149, kappa: 0.8273, kb_relative_information_score: 967.9634, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9174, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.508, scimark_benchmark: 1864.9656, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0613, 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: 1864.8991, usercpu_time_millis: 1.885, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1180.2775, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.2941, scimark_benchmark: 1867.3423, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1165.8649, mean_absolute_error: 0.0902, 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: 0.1827, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.2831, scimark_benchmark: 1864.9731, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2.293,
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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: 1289.2293, mean_absolute_error: 0.0361, 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: 0.0731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.1788, scimark_benchmark: 1306.4257, usercpu_time_millis: 31.257, usercpu_time_millis_testing: 2.763, usercpu_time_millis_training: 28.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 1147.963, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3469, scimark_benchmark: 1323.6138, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.1287, 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: 1311.744, usercpu_time_millis: 10.45, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 9.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1226.9486, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2546, scimark_benchmark: 1308.1528, usercpu_time_millis: 37.098, usercpu_time_millis_testing: 2.727, usercpu_time_millis_training: 34.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.4249, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1316.2713, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1271.5288, mean_absolute_error: 0.0449, 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: 0.091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.1819, scimark_benchmark: 1330.1275, usercpu_time_millis: 3.595, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1336.7526, mean_absolute_error: 0.0145, 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: 0.0293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.1459, scimark_benchmark: 1324.9415, usercpu_time_millis: 58.905, usercpu_time_millis_testing: 3.656, usercpu_time_millis_training: 55.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.9178, mean_absolute_error: 0.0286, 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: 0.058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1742, scimark_benchmark: 1324.9588, usercpu_time_millis: 37.197, usercpu_time_millis_testing: 2.413, usercpu_time_millis_training: 34.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.1532, mean_absolute_error: 0.0322, 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: 0.0652, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.084, root_relative_squared_error: 0.169, scimark_benchmark: 1318.8899, usercpu_time_millis: 36.303, usercpu_time_millis_testing: 2.513, usercpu_time_millis_training: 33.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1265.8951, mean_absolute_error: 0.0475, 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: 0.0961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.1858, scimark_benchmark: 1333.9945, usercpu_time_millis: 28.803, usercpu_time_millis_testing: 2.503, usercpu_time_millis_training: 26.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9453, kappa: 0.889, kb_relative_information_score: 1084.0935, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9455, predictive_accuracy: 0.9453, prior_entropy: 0.9912, recall: 0.9453, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4115, scimark_benchmark: 1301.3266, usercpu_time_millis: 34.101, usercpu_time_millis_testing: 2.537, usercpu_time_millis_training: 31.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0179, 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: 1312.0395, usercpu_time_millis: 8.608, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 7.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0162, 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: 1324.1922, usercpu_time_millis: 13.591, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 12.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1178.3274, mean_absolute_error: 0.0854, 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: 0.1729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.268, scimark_benchmark: 1305.9512, usercpu_time_millis: 15.19, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 13.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1303.0031, mean_absolute_error: 0.0296, 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: 0.0599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.087, root_relative_squared_error: 0.1751, scimark_benchmark: 1326.2673, usercpu_time_millis: 28.272, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 26.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0354, 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: 1324.6416, usercpu_time_millis: 5.828, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 4.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1329.5023, mean_absolute_error: 0.018, 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: 0.0363, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1425, scimark_benchmark: 1284.2104, usercpu_time_millis: 37.668, usercpu_time_millis_testing: 2.504, usercpu_time_millis_training: 35.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1279.5367, mean_absolute_error: 0.0403, 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: 0.0815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1907, scimark_benchmark: 1297.7087, usercpu_time_millis: 35.391, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 32.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1298.9144, mean_absolute_error: 0.0323, 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: 0.0655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.079, root_relative_squared_error: 0.1589, scimark_benchmark: 1268.8776, usercpu_time_millis: 14.621, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 13.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1305.2272, mean_absolute_error: 0.0289, 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: 0.0585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1645, scimark_benchmark: 1287.7773, usercpu_time_millis: 6.777, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 6.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1288.4561, mean_absolute_error: 0.0364, 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: 0.0737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1807, scimark_benchmark: 1316.6393, usercpu_time_millis: 35.612, usercpu_time_millis_testing: 2.776, usercpu_time_millis_training: 32.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1290.2905, mean_absolute_error: 0.0362, 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: 0.0734, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1666, scimark_benchmark: 1330.3382, usercpu_time_millis: 12.779, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 11.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8632, kappa: 0.7235, kb_relative_information_score: 700.2213, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8638, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6498, scimark_benchmark: 1327.4001, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1322.1638, mean_absolute_error: 0.0203, 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: 0.0411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1757, scimark_benchmark: 1306.1954, usercpu_time_millis: 54.265, usercpu_time_millis_testing: 2.513, usercpu_time_millis_training: 51.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1291.5519, mean_absolute_error: 0.035, 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: 0.0708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.09, root_relative_squared_error: 0.181, scimark_benchmark: 1325.5917, usercpu_time_millis: 23.453, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 21.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0635, 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: 1290.6461, usercpu_time_millis: 3.25, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 2.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9723, kappa: 0.9439, kb_relative_information_score: 1187.1201, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3203, scimark_benchmark: 1285.982, usercpu_time_millis: 26.713, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 25.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1118.1293, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9712, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3537, scimark_benchmark: 1315.3464, usercpu_time_millis: 10.213, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 9.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1063.9362, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3719, scimark_benchmark: 1317.7314, usercpu_time_millis: 39.658, usercpu_time_millis_testing: 4.078, usercpu_time_millis_training: 35.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1256.2712, mean_absolute_error: 0.0517, 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: 0.1047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.195, scimark_benchmark: 1315.3809, usercpu_time_millis: 38.976, usercpu_time_millis_testing: 3.797, usercpu_time_millis_training: 35.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1204.503, mean_absolute_error: 0.0739, 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: 0.1497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2478, scimark_benchmark: 1293.8001, usercpu_time_millis: 17.547, usercpu_time_millis_testing: 1.704, usercpu_time_millis_training: 15.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9416, kappa: 0.8815, kb_relative_information_score: 1055.4729, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9419, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4385, scimark_benchmark: 1328.5225, usercpu_time_millis: 27.609, usercpu_time_millis_testing: 1.615, usercpu_time_millis_training: 25.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1050.3705, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.419, scimark_benchmark: 1319.6351, usercpu_time_millis: 17.893, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 16.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1226.5645, mean_absolute_error: 0.0617, 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: 0.1249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2594, scimark_benchmark: 1321.9704, usercpu_time_millis: 19.191, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 17.679,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs