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: 0.9992, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1221.7867, mean_absolute_error: 0.0639, 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: 0.1294, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2619, scimark_benchmark: 1864.3739, usercpu_time_millis: 2.104, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1129.0066, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3435, scimark_benchmark: 1842.9243, usercpu_time_millis: 6.833, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 6.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9148, kappa: 0.827, kb_relative_information_score: 899.1284, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9181, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5187, scimark_benchmark: 1967.98, usercpu_time_millis: 4.052, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 3.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 398.3068, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8955, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7892, scimark_benchmark: 1862.4126, usercpu_time_millis: 2.35, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1212.7255, mean_absolute_error: 0.0703, 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: 0.1423, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419, scimark_benchmark: 1762.6444, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0624, 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: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1718.4527, usercpu_time_millis: 0.351, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1260.8259, mean_absolute_error: 0.0461, 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: 0.0934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2457, scimark_benchmark: 1858.4007, usercpu_time_millis: 8.833, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 8.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8604, kappa: 0.7188, kb_relative_information_score: 815.7465, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8629, predictive_accuracy: 0.8601, prior_entropy: 0.9912, recall: 0.8601, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6193, scimark_benchmark: 1855.1969, usercpu_time_millis: 3.444, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 3.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1257.2657, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2316, scimark_benchmark: 1737.327, usercpu_time_millis: 8.301, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 7.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9216, kappa: 0.8408, kb_relative_information_score: 838.3221, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9238, predictive_accuracy: 0.922, prior_entropy: 0.9912, recall: 0.922, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5354, scimark_benchmark: 1793.7646, usercpu_time_millis: 1.248, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1189.0866, mean_absolute_error: 0.0785, 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: 0.159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.2826, scimark_benchmark: 1856.624, usercpu_time_millis: 4.578, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 4.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1256.7853, mean_absolute_error: 0.051, 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: 0.1033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2015, scimark_benchmark: 1852.0263, usercpu_time_millis: 6.064, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 5.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1200.4842, mean_absolute_error: 0.0757, 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: 0.1532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.2514, scimark_benchmark: 1846.8389, usercpu_time_millis: 2, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0484, 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: 1874.4489, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9796, kappa: 0.9586, kb_relative_information_score: 1113.7879, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9798, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3371, scimark_benchmark: 1861.1173, usercpu_time_millis: 5.464, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 4.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1120.6648, mean_absolute_error: 0.1029, 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: 0.2083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3697, scimark_benchmark: 1861.8971, usercpu_time_millis: 5.244, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 4.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 736.9237, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6885, scimark_benchmark: 1868.0738, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0805, 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: 1764.6137, usercpu_time_millis: 2.227, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 1054.0609, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4116, scimark_benchmark: 1784.5992, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.029, 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: 1862.932, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1205.8673, mean_absolute_error: 0.0712, 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: 0.1443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.2687, scimark_benchmark: 1864.3739, usercpu_time_millis: 1.937, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9114, kappa: 0.82, kb_relative_information_score: 910.4724, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9131, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5345, scimark_benchmark: 1843.4825, usercpu_time_millis: 2.569, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 2.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0238, 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: 1869.1727, usercpu_time_millis: 1.235, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1296.6924, 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: 0.0651, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1817, scimark_benchmark: 1840.0785, usercpu_time_millis: 4.804, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 4.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1275.0763, mean_absolute_error: 0.0403, 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: 0.0815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2285, scimark_benchmark: 1723.7952, usercpu_time_millis: 8.729, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1244.3998, mean_absolute_error: 0.0537, 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: 0.1088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2471, scimark_benchmark: 1832.9991, usercpu_time_millis: 3.655, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 3.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: 0.0145, 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: 1745.7661, usercpu_time_millis: 1.866, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.1046, 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: 1849.8674, usercpu_time_millis: 0.705, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1227.2065, mean_absolute_error: 0.0636, 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: 0.1287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.235, scimark_benchmark: 1852.0263, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8908, kappa: 0.7782, kb_relative_information_score: 361.984, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8979, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8091, scimark_benchmark: 1846.8389, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9774, kappa: 0.9542, kb_relative_information_score: 1083.1534, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3577, scimark_benchmark: 1869.1727, usercpu_time_millis: 2.001, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1253.8713, mean_absolute_error: 0.0522, 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: 0.1057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2056, scimark_benchmark: 1743.7604, usercpu_time_millis: 3.744, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 3.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1317.6834, mean_absolute_error: 0.0198, 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: 0.04, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2484, scimark_benchmark: 1854.6858, usercpu_time_millis: 10.944, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 10.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9424, kappa: 0.8832, kb_relative_information_score: 1158.3342, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 0.9912, recall: 0.9424, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4003, scimark_benchmark: 1783.1767, usercpu_time_millis: 5.565, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 5.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9327, kappa: 0.8634, kb_relative_information_score: 1026.8385, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9338, predictive_accuracy: 0.9329, prior_entropy: 0.9912, recall: 0.9329, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4638, scimark_benchmark: 1748.2947, usercpu_time_millis: 6.836, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 6.27,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8811, kappa: 0.7592, kb_relative_information_score: 683.9901, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8811, predictive_accuracy: 0.8812, prior_entropy: 0.9912, recall: 0.8812, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6387, scimark_benchmark: 1847.8582, usercpu_time_millis: 1.233, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1312.0516, mean_absolute_error: 0.0223, 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: 0.0452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2521, scimark_benchmark: 1859.7394, usercpu_time_millis: 10.167, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 9.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8847, kappa: 0.7659, kb_relative_information_score: 376.0689, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8934, predictive_accuracy: 0.8863, prior_entropy: 0.9912, recall: 0.8863, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8012, scimark_benchmark: 1861.3822, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1277.1255, mean_absolute_error: 0.0413, 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: 0.0836, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.1936, scimark_benchmark: 1849.0806, usercpu_time_millis: 8.92, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 8.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1294.3879, mean_absolute_error: 0.0334, 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: 0.0676, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1804, scimark_benchmark: 1775.6747, usercpu_time_millis: 6.701, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 6.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9133, kappa: 0.824, kb_relative_information_score: 911.5255, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9168, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5143, scimark_benchmark: 1861.5088, usercpu_time_millis: 3.707, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 3.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1305.4195, mean_absolute_error: 0.0282, 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: 0.0572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.086, root_relative_squared_error: 0.1731, scimark_benchmark: 1731.7408, usercpu_time_millis: 7.327, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 6.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1191.1395, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3066, scimark_benchmark: 1867.4545, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.981, kappa: 0.9616, kb_relative_information_score: 1211.3022, mean_absolute_error: 0.0664, 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: 0.1344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2933, scimark_benchmark: 1784.6224, usercpu_time_millis: 5.535, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 4.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1286.7522, mean_absolute_error: 0.0366, 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: 0.0741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1903, scimark_benchmark: 1893.0862, usercpu_time_millis: 5.457, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 4.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0885, 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: 1742.9855, usercpu_time_millis: 0.708, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1153.9844, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3176, scimark_benchmark: 1833.6835, usercpu_time_millis: 2.287, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 2.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9701, kappa: 0.9393, kb_relative_information_score: 1145.6001, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3364, scimark_benchmark: 1742.0962, usercpu_time_millis: 1.896, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1270.9029, mean_absolute_error: 0.0439, 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: 0.0889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2013, scimark_benchmark: 1732.0068, usercpu_time_millis: 9.667, usercpu_time_millis_testing: 1.015, usercpu_time_millis_training: 8.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0042, 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: 1871.2001, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0479, 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: 1862.932, usercpu_time_millis: 1.903, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0502, 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: 1862.8707, usercpu_time_millis: 1.734, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9126, kappa: 0.8225, kb_relative_information_score: 719.1802, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.916, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6044, scimark_benchmark: 1817.2008, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8703, kappa: 0.7373, kb_relative_information_score: 608.4291, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8703, predictive_accuracy: 0.8703, prior_entropy: 0.9912, recall: 0.8703, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6822, scimark_benchmark: 1867.0779, usercpu_time_millis: 2.124, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9321, kappa: 0.8624, kb_relative_information_score: 1079.5111, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9323, predictive_accuracy: 0.9322, prior_entropy: 0.9912, recall: 0.9322, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4372, scimark_benchmark: 1838.2065, usercpu_time_millis: 7.003, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 6.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 1026.3025, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4066, scimark_benchmark: 1788.6944, usercpu_time_millis: 1.604, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9133, kappa: 0.824, kb_relative_information_score: 908.7908, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9168, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5161, scimark_benchmark: 1846.9511, usercpu_time_millis: 4.541, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 3.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1223.3457, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.2827, scimark_benchmark: 1835.07, usercpu_time_millis: 1.309, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1317.7111, mean_absolute_error: 0.0202, 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: 0.041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2295, scimark_benchmark: 1848.7716, usercpu_time_millis: 6.37, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 5.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0072, 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: 1861.833, usercpu_time_millis: 1.875, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1286.855, mean_absolute_error: 0.0352, 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: 0.0714, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184, scimark_benchmark: 1865.2449, usercpu_time_millis: 2.911, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 2.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1209.3173, mean_absolute_error: 0.0716, 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: 0.145, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2461, scimark_benchmark: 1783.9914, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1077.5541, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9754, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3581, scimark_benchmark: 1855.7107, usercpu_time_millis: 5.371, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 4.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9238, kappa: 0.8452, kb_relative_information_score: 953.3038, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9259, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.4886, scimark_benchmark: 1862.7527, usercpu_time_millis: 4.35, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 3.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9158, kappa: 0.829, kb_relative_information_score: 977.62, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9174, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.514, scimark_benchmark: 1777.7324, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1291.1101, mean_absolute_error: 0.0343, 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: 0.0695, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1926, scimark_benchmark: 1847.3472, usercpu_time_millis: 3.853, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 3.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0553, 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: 1841.752, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8946, kappa: 0.7859, kb_relative_information_score: 631.8315, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.901, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6581, scimark_benchmark: 1686.3695, usercpu_time_millis: 2.466, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 2.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 1260.9816, mean_absolute_error: 0.0423, 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: 0.0857, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.2965, scimark_benchmark: 1839.6482, usercpu_time_millis: 1.227, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 1.17,

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