OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 733.6403, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6904, scimark_benchmark: 1735.4422, usercpu_time_millis: 2.388, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 2.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0047, 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: 1722.7651, usercpu_time_millis: 1.454, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1332.7176, mean_absolute_error: 0.0142, 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: 0.0288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2153, scimark_benchmark: 1737.1979, usercpu_time_millis: 16.974, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 16.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1260.7109, mean_absolute_error: 0.0498, 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: 0.1009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.1899, scimark_benchmark: 1737.1474, usercpu_time_millis: 4.734, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 4.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.7028, mean_absolute_error: 0.028, 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: 0.0568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1921, scimark_benchmark: 1738.4871, usercpu_time_millis: 9.721, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 9.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9541, kappa: 0.9069, kb_relative_information_score: 1007.8578, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4452, scimark_benchmark: 1743.9277, usercpu_time_millis: 5.318, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 4.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1309.474, mean_absolute_error: 0.0271, 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: 0.0549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1583, scimark_benchmark: 1745.0258, usercpu_time_millis: 6.846, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 6.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1236.854, mean_absolute_error: 0.0587, 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: 0.1189, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.2344, scimark_benchmark: 1738.8522, usercpu_time_millis: 6.484, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 5.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1177.6335, mean_absolute_error: 0.0834, 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: 0.1688, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.2933, scimark_benchmark: 1079.282, usercpu_time_millis: 4.747, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 4.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1256.283, mean_absolute_error: 0.0517, 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: 0.1046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.1962, scimark_benchmark: 1744.1084, usercpu_time_millis: 2.524, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0269, 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: 1748.0598, usercpu_time_millis: 1.387, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9181, kappa: 0.8339, kb_relative_information_score: 1005.4493, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9187, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5126, scimark_benchmark: 1745.7661, usercpu_time_millis: 2.125, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 2.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 420.0801, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7773, scimark_benchmark: 1736.3456, usercpu_time_millis: 1.69, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9511, kappa: 0.901, kb_relative_information_score: 1080.1464, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4117, scimark_benchmark: 1076.3074, usercpu_time_millis: 2.148, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1274.7523, mean_absolute_error: 0.0424, 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: 0.0859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.1951, scimark_benchmark: 1747.1969, usercpu_time_millis: 1.58, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8938, kappa: 0.7843, kb_relative_information_score: 600.5216, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9006, predictive_accuracy: 0.895, prior_entropy: 0.9912, recall: 0.895, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6774, scimark_benchmark: 1744.3284, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1297.8634, mean_absolute_error: 0.0306, 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: 0.0619, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2069, scimark_benchmark: 1737.14, usercpu_time_millis: 3.469, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 3.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1307.972, mean_absolute_error: 0.0274, 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: 0.0554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1718, scimark_benchmark: 1752.3353, usercpu_time_millis: 2.518, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 2.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.965, kappa: 0.9291, kb_relative_information_score: 1138.1265, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3519, scimark_benchmark: 1750.0316, usercpu_time_millis: 7.977, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 7.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1306.9635, mean_absolute_error: 0.027, 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: 0.0547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1907, scimark_benchmark: 1747.1377, usercpu_time_millis: 12.331, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 11.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1331.3456, mean_absolute_error: 0.0155, 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: 0.0314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.1915, scimark_benchmark: 1752.6238, usercpu_time_millis: 2.85, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0681, 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: 1741.7556, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1307.1249, mean_absolute_error: 0.027, 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: 0.0546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1897, scimark_benchmark: 1742.0378, usercpu_time_millis: 4.144, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 3.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8908, kappa: 0.7783, kb_relative_information_score: 500.6378, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8976, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7328, scimark_benchmark: 1739.9311, usercpu_time_millis: 1.711, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1317.9245, mean_absolute_error: 0.023, 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: 0.0466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.1587, scimark_benchmark: 1855.8396, usercpu_time_millis: 2.268, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 2.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1212.6798, mean_absolute_error: 0.0679, 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: 0.1375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.2715, scimark_benchmark: 1753.7269, usercpu_time_millis: 7.501, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 6.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1317.1321, mean_absolute_error: 0.0236, 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: 0.0477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.076, root_relative_squared_error: 0.153, scimark_benchmark: 1747.1631, usercpu_time_millis: 3.881, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 3.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9174, kappa: 0.8325, kb_relative_information_score: 1006.7078, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9179, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5066, scimark_benchmark: 1753.392, usercpu_time_millis: 3.483, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 3.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.1029, 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: 1711.733, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 972.0852, mean_absolute_error: 0.1685, 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: 0.3411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4391, scimark_benchmark: 1736.1249, usercpu_time_millis: 6.169, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 5.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1293.4554, mean_absolute_error: 0.0338, 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: 0.0683, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.1853, scimark_benchmark: 1760.3967, usercpu_time_millis: 9.497, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 8.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1274.3011, mean_absolute_error: 0.0436, 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: 0.0882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1802, scimark_benchmark: 1738.5695, usercpu_time_millis: 3.601, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 3.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 659.3737, mean_absolute_error: 0.2824, 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: 0.5717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6765, scimark_benchmark: 1758.2662, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9179, kappa: 0.8332, kb_relative_information_score: 869.7274, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9205, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5182, scimark_benchmark: 1738.5695, usercpu_time_millis: 4.532, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 3.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1254.5559, mean_absolute_error: 0.0523, 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: 0.1059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.1989, scimark_benchmark: 1758.3846, usercpu_time_millis: 8.17, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 7.505,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1317.8739, mean_absolute_error: 0.0205, 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: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2442, scimark_benchmark: 1867.9598, usercpu_time_millis: 6, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1320.7629, mean_absolute_error: 0.0209, 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: 0.0424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1773, scimark_benchmark: 1774.173, usercpu_time_millis: 8.414, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 8.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0754, 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: 1828.0482, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9357, kappa: 0.8696, kb_relative_information_score: 1041.2083, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9362, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4507, scimark_benchmark: 1866.5101, usercpu_time_millis: 5.747, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 5.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0356, 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: 1831.935, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1272.8247, mean_absolute_error: 0.0413, 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: 0.0835, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.2293, scimark_benchmark: 1870.2724, usercpu_time_millis: 2.408, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1257.0133, mean_absolute_error: 0.0513, 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: 0.104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1952, scimark_benchmark: 1765.3736, usercpu_time_millis: 5.416, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8618, kappa: 0.7211, kb_relative_information_score: 660.7416, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.863, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6694, scimark_benchmark: 1861.309, usercpu_time_millis: 2.412, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 2.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9174, kappa: 0.8325, kb_relative_information_score: 1006.9315, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9179, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5041, scimark_benchmark: 1772.3548, usercpu_time_millis: 2.995, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 2.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1296.1151, mean_absolute_error: 0.0317, 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: 0.0641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2006, scimark_benchmark: 1857.9581, usercpu_time_millis: 4.351, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 4.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9129, kappa: 0.8231, kb_relative_information_score: 922.0777, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9143, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5301, scimark_benchmark: 1858.359, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0686, 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: 1801.0183, usercpu_time_millis: 1.762, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1265.1046, mean_absolute_error: 0.0467, 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: 0.0946, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.2035, scimark_benchmark: 1854.3038, usercpu_time_millis: 2.68, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 2.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8976, kappa: 0.792, kb_relative_information_score: 643.5973, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6519, scimark_benchmark: 1869.3254, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.943, kappa: 0.8845, kb_relative_information_score: 933.915, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9434, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4732, scimark_benchmark: 1859.6174, usercpu_time_millis: 1.323, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.874, kappa: 0.7451, kb_relative_information_score: 617.1776, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8742, predictive_accuracy: 0.8739, prior_entropy: 0.9912, recall: 0.8739, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6754, scimark_benchmark: 1857.8367, usercpu_time_millis: 1.215, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1053.348, mean_absolute_error: 0.1324, 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: 0.268, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4108, scimark_benchmark: 1760.0137, usercpu_time_millis: 2.303, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 741.577, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6828, scimark_benchmark: 1764.8709, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1198.5652, mean_absolute_error: 0.0765, 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: 0.1548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2531, scimark_benchmark: 1780.3053, usercpu_time_millis: 0.474, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8784, kappa: 0.7541, kb_relative_information_score: 702.1679, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8787, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.628, scimark_benchmark: 1854.8897, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1267.6213, mean_absolute_error: 0.0448, 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: 0.0908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2135, scimark_benchmark: 1741.8535, usercpu_time_millis: 7.479, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 6.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1046.4003, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9718, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3831, scimark_benchmark: 1893.0259, usercpu_time_millis: 0.423, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0157, 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: 1754.9333, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0165, 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: 1703.1015, usercpu_time_millis: 1.154, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1319.2979, mean_absolute_error: 0.0217, 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: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.1768, scimark_benchmark: 1772.7681, usercpu_time_millis: 9.159, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 8.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1051.7504, mean_absolute_error: 0.1368, 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: 0.2769, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3788, scimark_benchmark: 2142.9009, usercpu_time_millis: 2.42, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 2.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0472, 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: 1759.5507, usercpu_time_millis: 1.907, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1314.7035, mean_absolute_error: 0.0247, 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: 0.0501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.1543, scimark_benchmark: 1865.6428, usercpu_time_millis: 3.681, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 3.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8877, kappa: 0.772, kb_relative_information_score: 394.6401, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8958, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7906, scimark_benchmark: 1864.6653, usercpu_time_millis: 2.677, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 2.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9504, kappa: 0.8995, kb_relative_information_score: 1088.3713, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.2322, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4127, scimark_benchmark: 1865.1205, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1281.4704, mean_absolute_error: 0.0375, 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: 0.0759, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2236, scimark_benchmark: 1722.2373, usercpu_time_millis: 1.97, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9245, kappa: 0.8468, kb_relative_information_score: 810.829, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9266, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5513, scimark_benchmark: 1817.3701, usercpu_time_millis: 1.662, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.1135, 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: 1813.9184, usercpu_time_millis: 0.344, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9163, kappa: 0.8301, kb_relative_information_score: 900.0137, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9194, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5186, scimark_benchmark: 1754.1216, usercpu_time_millis: 3.101, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 2.767,

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