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: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1254.9918, mean_absolute_error: 0.0522, 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: 0.1058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.1965, scimark_benchmark: 1797.8007, usercpu_time_millis: 4.572, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 4.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9533, kappa: 0.9054, kb_relative_information_score: 1012.7612, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9912, recall: 0.9534, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4419, scimark_benchmark: 1739.2529, usercpu_time_millis: 3.965, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 3.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1307.0295, mean_absolute_error: 0.0278, 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: 0.0562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1718, scimark_benchmark: 1744.1084, usercpu_time_millis: 2.564, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 733.2477, mean_absolute_error: 0.2503, 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: 0.5067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6911, scimark_benchmark: 1426.796, usercpu_time_millis: 2.793, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 2.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1318.5042, mean_absolute_error: 0.022, 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: 0.0445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.178, scimark_benchmark: 1744.4527, usercpu_time_millis: 13.04, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 12.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1251.9041, mean_absolute_error: 0.0526, 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: 0.1065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2142, scimark_benchmark: 1745.3266, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1311.377, mean_absolute_error: 0.0263, 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: 0.0532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1558, scimark_benchmark: 1747.403, usercpu_time_millis: 10.096, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 9.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1231.2212, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2426, scimark_benchmark: 1078.6273, usercpu_time_millis: 3.173, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 2.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1133.1731, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3566, scimark_benchmark: 1744.9079, usercpu_time_millis: 7.21, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 6.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1217.0341, mean_absolute_error: 0.0688, 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: 0.1393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.233, scimark_benchmark: 1091.4867, usercpu_time_millis: 2.334, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 2.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1048.7954, mean_absolute_error: 0.1343, 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: 0.2719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4121, scimark_benchmark: 1753.3033, usercpu_time_millis: 4.309, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9577, kappa: 0.9144, kb_relative_information_score: 1044.8168, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4176, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.776, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0449, 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: 1751.3544, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 436.1881, mean_absolute_error: 0.365, 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: 0.7391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7691, scimark_benchmark: 1894.3808, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9598, kappa: 0.9186, kb_relative_information_score: 1147.3588, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9601, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3513, scimark_benchmark: 1710.448, usercpu_time_millis: 11.274, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 9.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8597, kappa: 0.7177, kb_relative_information_score: 816.1556, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8629, predictive_accuracy: 0.8593, prior_entropy: 0.9912, recall: 0.8593, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6193, scimark_benchmark: 1755.0172, usercpu_time_millis: 1.409, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1319.7046, mean_absolute_error: 0.0226, 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: 0.0457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1471, scimark_benchmark: 1739.0223, usercpu_time_millis: 8.013, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 7.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1289.3946, mean_absolute_error: 0.0367, 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: 0.0743, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1661, scimark_benchmark: 1749.1199, usercpu_time_millis: 1.736, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1307.3727, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1749.0608, usercpu_time_millis: 3.377, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 3.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9657, kappa: 0.9306, kb_relative_information_score: 1188.088, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3397, scimark_benchmark: 1861.0096, usercpu_time_millis: 3.644, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 3.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1300.1409, mean_absolute_error: 0.0314, 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: 0.0635, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1673, scimark_benchmark: 1732.0988, usercpu_time_millis: 4.393, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 4.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1303.596, mean_absolute_error: 0.0301, 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: 0.061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.1554, scimark_benchmark: 1690.1675, usercpu_time_millis: 3.564, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1228.0354, mean_absolute_error: 0.0642, 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: 0.1299, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2211, scimark_benchmark: 1710.2297, usercpu_time_millis: 5.37, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 4.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1263.7772, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2489, scimark_benchmark: 1722.3145, usercpu_time_millis: 11.481, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 10.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 982.2228, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9397, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4611, scimark_benchmark: 1731.9625, usercpu_time_millis: 1.993, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1308.196, mean_absolute_error: 0.0277, 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: 0.0561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.079, root_relative_squared_error: 0.159, scimark_benchmark: 738.8222, usercpu_time_millis: 13.47, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 12.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1313.5835, mean_absolute_error: 0.0253, 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: 0.0513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.1539, scimark_benchmark: 1736.621, usercpu_time_millis: 4.945, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 4.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9555, kappa: 0.9099, kb_relative_information_score: 1028.8787, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.9912, recall: 0.9555, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4278, scimark_benchmark: 1727.9566, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 2.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8568, kappa: 0.7111, kb_relative_information_score: 660.0424, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8585, predictive_accuracy: 0.8564, prior_entropy: 0.9912, recall: 0.8564, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6723, scimark_benchmark: 1846.849, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0431, 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: 1735.1328, usercpu_time_millis: 1.849, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1180.0178, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.294, scimark_benchmark: 1733.299, usercpu_time_millis: 4.984, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 4.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1317.6222, mean_absolute_error: 0.0235, 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: 0.0476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.074, root_relative_squared_error: 0.149, scimark_benchmark: 1732.8391, usercpu_time_millis: 3.554, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 3.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1022.4029, mean_absolute_error: 0.1488, 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: 0.3013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.3991, scimark_benchmark: 1723.0479, usercpu_time_millis: 3.339, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 2.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1328.7625, mean_absolute_error: 0.017, 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: 0.0344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1793, scimark_benchmark: 1731.6389, usercpu_time_millis: 1.252, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1058.1024, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3703, scimark_benchmark: 1723.218, usercpu_time_millis: 2.78, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 2.29,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1166.3171, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.2779, scimark_benchmark: 1894.9164, usercpu_time_millis: 2.85, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 2.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1321.7573, mean_absolute_error: 0.0215, 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: 0.0435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1489, scimark_benchmark: 1768.2277, usercpu_time_millis: 7.345, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 6.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1272.5384, mean_absolute_error: 0.0428, 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: 0.0866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2084, scimark_benchmark: 1728.0111, usercpu_time_millis: 11.633, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 10.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1336.4845, mean_absolute_error: 0.0146, 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: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.073, root_relative_squared_error: 0.1469, scimark_benchmark: 1728.9285, usercpu_time_millis: 12.974, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 12.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1237.4049, mean_absolute_error: 0.0601, 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: 0.1217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2121, scimark_benchmark: 1741.9128, usercpu_time_millis: 9.15, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 8.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1321.8422, mean_absolute_error: 0.0204, 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: 0.0413, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1779, scimark_benchmark: 1734.2699, usercpu_time_millis: 9.044, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 8.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1229.5853, mean_absolute_error: 0.0635, 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: 0.1286, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.22, scimark_benchmark: 1724.4675, usercpu_time_millis: 4.058, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 3.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1272.3374, mean_absolute_error: 0.0444, 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: 0.0899, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.183, scimark_benchmark: 1736.4936, usercpu_time_millis: 1.172, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1170.415, mean_absolute_error: 0.0887, 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: 0.1796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.137, root_relative_squared_error: 0.2757, scimark_benchmark: 1972.3955, usercpu_time_millis: 2.73, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 2.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1259.0941, mean_absolute_error: 0.0503, 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: 0.1019, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1941, scimark_benchmark: 1737.5919, usercpu_time_millis: 1.945, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0189, 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: 2140.8445, usercpu_time_millis: 1.731, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9665, kappa: 0.9322, kb_relative_information_score: 987.1977, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4301, scimark_benchmark: 1738.3274, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8618, kappa: 0.7211, kb_relative_information_score: 779.5057, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8632, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6132, scimark_benchmark: 1735.121, usercpu_time_millis: 2.391, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1191.8233, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2793, scimark_benchmark: 2136.9224, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1318.7655, mean_absolute_error: 0.0226, 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: 0.0457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.1627, scimark_benchmark: 1736.5552, usercpu_time_millis: 10.897, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 10.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9365, kappa: 0.8714, kb_relative_information_score: 1096.0773, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9366, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4201, scimark_benchmark: 1944.1575, usercpu_time_millis: 4.442, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 4.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.973, kappa: 0.9455, kb_relative_information_score: 1257.2628, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2885, scimark_benchmark: 1715.2663, usercpu_time_millis: 10.464, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 9.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1301.9373, mean_absolute_error: 0.029, 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: 0.0587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2001, scimark_benchmark: 1720.683, usercpu_time_millis: 2.192, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1317.227, mean_absolute_error: 0.0232, 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: 0.0471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.1618, scimark_benchmark: 1732.8983, usercpu_time_millis: 7.435, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 6.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1271.2572, mean_absolute_error: 0.0439, 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: 0.0888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2014, scimark_benchmark: 2021.6984, usercpu_time_millis: 2.769, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 2.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1297.6282, mean_absolute_error: 0.0318, 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: 0.0644, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.1819, scimark_benchmark: 1740.8353, usercpu_time_millis: 4.733, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 4.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1204.1013, mean_absolute_error: 0.0726, 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: 0.147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.132, root_relative_squared_error: 0.2657, scimark_benchmark: 1836.1117, usercpu_time_millis: 6.881, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 6.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9218, kappa: 0.8414, kb_relative_information_score: 1019.649, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9223, predictive_accuracy: 0.922, prior_entropy: 0.9912, recall: 0.922, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.4954, scimark_benchmark: 1959.5714, usercpu_time_millis: 2.037, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0352, 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: 1990.3494, usercpu_time_millis: 2.086, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1332.4355, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2122, scimark_benchmark: 1851.6768, usercpu_time_millis: 4.871, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 4.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1102.057, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3337, scimark_benchmark: 1761.8065, usercpu_time_millis: 2.072, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1187.5144, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2598, scimark_benchmark: 1763.2751, usercpu_time_millis: 3.772, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 3.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1314.7736, mean_absolute_error: 0.0237, 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: 0.0479, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1823, scimark_benchmark: 1699.0847, usercpu_time_millis: 5.265, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 4.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1268.4701, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321, scimark_benchmark: 1759.0925, usercpu_time_millis: 1.195, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9702, kappa: 0.9397, kb_relative_information_score: 1042.2726, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9705, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.3915, scimark_benchmark: 1764.1074, usercpu_time_millis: 0.857, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1282.4026, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2229, scimark_benchmark: 1854.6986, usercpu_time_millis: 8.403, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 8.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9416, kappa: 0.8815, kb_relative_information_score: 1036.8998, mean_absolute_error: 0.135, 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: 0.2734, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4525, scimark_benchmark: 1952.0785, usercpu_time_millis: 4.813, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 4.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1256.6205, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.123, root_relative_squared_error: 0.2476, scimark_benchmark: 1926.0941, usercpu_time_millis: 2.602, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 2.398,

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