Task
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: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1318.1629, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1827, scimark_benchmark: 1305.9143, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 1.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1299.8477, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.1971, scimark_benchmark: 1337.0061, usercpu_time_millis: 6.673, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 6.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1320.3952, mean_absolute_error: 0.0204, 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: 0.0413, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1803, scimark_benchmark: 1348.9917, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1360.1923, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0502, scimark_benchmark: 1325.309, usercpu_time_millis: 0.948, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1322.8744, mean_absolute_error: 0.0206, 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: 0.0417, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.162, scimark_benchmark: 1320.7033, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1319.6159, mean_absolute_error: 0.0219, 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: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.1698, scimark_benchmark: 1291.9087, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1324.6539, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.1781, scimark_benchmark: 1299.0122, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.5816, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0126, root_relative_squared_error: 0.0254, scimark_benchmark: 1296.6793, usercpu_time_millis: 1.397, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1365.9878, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0186, root_relative_squared_error: 0.0375, scimark_benchmark: 1314.4306, usercpu_time_millis: 5.112, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 5.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.911, kappa: 0.8194, kb_relative_information_score: 1015.6741, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9244, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4884, scimark_benchmark: 1329.0097, usercpu_time_millis: 6.15, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 6.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1283.8029, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9727, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.2602, scimark_benchmark: 1333.3593, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5342, kappa: 0.1054, kb_relative_information_score: 81.9091, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.5859, predictive_accuracy: 0.5853, prior_entropy: 0.9912, recall: 0.5853, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9734, scimark_benchmark: 1334.0871, usercpu_time_millis: 2.491, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 2.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1365.7805, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0157, root_relative_squared_error: 0.0316, scimark_benchmark: 1281.6077, usercpu_time_millis: 0.758, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.7797, mean_absolute_error: 0.0214, 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: 0.0433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1671, scimark_benchmark: 1324.8842, usercpu_time_millis: 0.573, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1319.636, mean_absolute_error: 0.0219, 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: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1697, scimark_benchmark: 1304.2543, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.6208, kappa: 0.2809, kb_relative_information_score: 194.3682, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7411, predictive_accuracy: 0.6684, prior_entropy: 0.9912, recall: 0.6684, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9346, scimark_benchmark: 1310.9794, usercpu_time_millis: 2.267, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8063, kappa: 0.6137, kb_relative_information_score: 638.7021, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8624, predictive_accuracy: 0.8171, prior_entropy: 0.9912, recall: 0.8171, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7088, scimark_benchmark: 1306.1076, usercpu_time_millis: 5.225, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 5.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9552, kappa: 0.9091, kb_relative_information_score: 1186.649, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9588, predictive_accuracy: 0.9555, prior_entropy: 0.9912, recall: 0.9555, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.346, scimark_benchmark: 1328.1704, usercpu_time_millis: 6.66, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 6.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9041, kappa: 0.8055, kb_relative_information_score: 989.842, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9196, predictive_accuracy: 0.906, prior_entropy: 0.9912, recall: 0.906, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5064, scimark_benchmark: 1316.6644, usercpu_time_millis: 6.091, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 6.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1362.9271, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0194, root_relative_squared_error: 0.039, scimark_benchmark: 1319.6298, usercpu_time_millis: 1.033, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9556, kappa: 0.91, kb_relative_information_score: 1220.8011, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9556, predictive_accuracy: 0.9555, prior_entropy: 0.9912, recall: 0.9555, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.17, root_relative_squared_error: 0.342, scimark_benchmark: 1325.0528, usercpu_time_millis: 1.415, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7892, kappa: 0.5723, kb_relative_information_score: 426.9326, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7987, predictive_accuracy: 0.793, prior_entropy: 0.9912, recall: 0.793, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8369, scimark_benchmark: 1324.1849, usercpu_time_millis: 4.167, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 4.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1365.73, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0194, root_relative_squared_error: 0.0389, scimark_benchmark: 1325.1666, usercpu_time_millis: 5.203, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 5.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7868, kappa: 0.5676, kb_relative_information_score: 422.6038, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7968, predictive_accuracy: 0.7908, prior_entropy: 0.9912, recall: 0.7908, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8385, scimark_benchmark: 1329.2084, usercpu_time_millis: 3.337, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 3.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1327.5047, mean_absolute_error: 0.0178, 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: 0.036, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.1658, scimark_benchmark: 1303.1873, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.7781, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0211, scimark_benchmark: 1298.5367, usercpu_time_millis: 1.784, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1318.4974, mean_absolute_error: 0.0223, 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: 0.0452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1634, scimark_benchmark: 1359.9378, usercpu_time_millis: 6.678, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 6.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9672, kappa: 0.9334, kb_relative_information_score: 1138.2648, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3653, scimark_benchmark: 1282.2469, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1289.6203, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.2299, scimark_benchmark: 1306.5533, usercpu_time_millis: 0.855, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1319.8462, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1904, scimark_benchmark: 1304.8875, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7369, kappa: 0.4736, kb_relative_information_score: 589.6266, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.775, predictive_accuracy: 0.75, prior_entropy: 0.9912, recall: 0.75, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7483, scimark_benchmark: 1304.0462, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7525, kappa: 0.4985, kb_relative_information_score: 548.5306, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7639, predictive_accuracy: 0.758, prior_entropy: 0.9912, recall: 0.758, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7808, scimark_benchmark: 1300.878, usercpu_time_millis: 2.077, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8481, kappa: 0.6965, kb_relative_information_score: 864.6562, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8574, predictive_accuracy: 0.8477, prior_entropy: 0.9912, recall: 0.8477, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6532, scimark_benchmark: 1301.7249, usercpu_time_millis: 4.615, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 4.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7908, kappa: 0.5755, kb_relative_information_score: 425.5592, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7999, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8367, scimark_benchmark: 1296.4786, usercpu_time_millis: 6.692, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 6.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8227, kappa: 0.6398, kb_relative_information_score: 730.0713, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8263, predictive_accuracy: 0.8243, prior_entropy: 0.9912, recall: 0.8243, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6887, scimark_benchmark: 1358.9121, usercpu_time_millis: 2.16, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9259, kappa: 0.8514, kb_relative_information_score: 873.7932, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9321, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5718, scimark_benchmark: 1306.4381, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.6312, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1704, scimark_benchmark: 1264.2178, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1323.9331, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1818, scimark_benchmark: 1285.9715, usercpu_time_millis: 0.481, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1296.3616, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2366, scimark_benchmark: 1330.3767, usercpu_time_millis: 0.905, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.5398, mean_absolute_error: 0.0163, 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: 0.0331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1596, scimark_benchmark: 1316.8956, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7502, kappa: 0.4935, kb_relative_information_score: 350.7361, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7593, predictive_accuracy: 0.7551, prior_entropy: 0.9912, recall: 0.7551, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8732, scimark_benchmark: 1303.8634, usercpu_time_millis: 2.336, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1294.7226, mean_absolute_error: 0.0313, 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: 0.0635, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2203, scimark_benchmark: 1334.5981, usercpu_time_millis: 0.742, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.8084, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0198, scimark_benchmark: 1302.7609, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 2.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9753, kappa: 0.95, kb_relative_information_score: 1290.651, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9757, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2463, scimark_benchmark: 1301.7501, usercpu_time_millis: 3.25, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 3.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1323.9211, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.1818, scimark_benchmark: 1315.322, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.7024, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0094, root_relative_squared_error: 0.0188, scimark_benchmark: 1322.5203, usercpu_time_millis: 2.529, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.6863, kappa: 0.3678, kb_relative_information_score: 278.0438, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7046, predictive_accuracy: 0.6975, prior_entropy: 0.9912, recall: 0.6975, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.903, scimark_benchmark: 1332.1898, usercpu_time_millis: 2.122, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1326.6354, mean_absolute_error: 0.0179, 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: 0.0362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.1761, scimark_benchmark: 1305.4165, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 1153.8552, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3496, scimark_benchmark: 1320.8143, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9214, kappa: 0.8409, kb_relative_information_score: 1092.8919, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9216, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4595, scimark_benchmark: 1300.4056, usercpu_time_millis: 4.417, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7906, kappa: 0.5752, kb_relative_information_score: 427.2419, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8005, predictive_accuracy: 0.7945, prior_entropy: 0.9912, recall: 0.7945, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8362, scimark_benchmark: 1311.7265, usercpu_time_millis: 33.572, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 33.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6553, kappa: 0.3327, kb_relative_information_score: 257.2293, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7434, predictive_accuracy: 0.6895, prior_entropy: 0.9912, recall: 0.6895, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9089, scimark_benchmark: 1303.839, usercpu_time_millis: 2.174, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1335.7985, mean_absolute_error: 0.0143, 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: 0.029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1569, scimark_benchmark: 1306.989, usercpu_time_millis: 3.563, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 3.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9661, kb_relative_information_score: 1314.1057, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9834, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1981, scimark_benchmark: 1330.5472, usercpu_time_millis: 2.439, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9657, kappa: 0.9306, kb_relative_information_score: 1078.4999, mean_absolute_error: 0.1171, 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: 0.2372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4191, scimark_benchmark: 1298.0472, usercpu_time_millis: 1.01, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1319.461, mean_absolute_error: 0.0219, 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: 0.0444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1702, scimark_benchmark: 1292.0845, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1322.6253, mean_absolute_error: 0.0198, 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: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.085, root_relative_squared_error: 0.1711, scimark_benchmark: 1305.1359, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7869, kappa: 0.5677, kb_relative_information_score: 424.886, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7965, predictive_accuracy: 0.7908, prior_entropy: 0.9912, recall: 0.7908, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8375, scimark_benchmark: 1312.9945, usercpu_time_millis: 3.371, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 3.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.933, kappa: 0.8644, kb_relative_information_score: 1122.5508, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9331, predictive_accuracy: 0.9329, prior_entropy: 0.9912, recall: 0.9329, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4323, scimark_benchmark: 1327.8171, usercpu_time_millis: 4.148, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 4.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 1118.4317, mean_absolute_error: 0.1018, 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: 0.2062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3869, scimark_benchmark: 1312.5819, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8227, kappa: 0.645, kb_relative_information_score: 667.0378, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.83, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6887, scimark_benchmark: 1280.1637, usercpu_time_millis: 5.428, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 5.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1318.78, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9863, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1914, scimark_benchmark: 1310.9091, usercpu_time_millis: 0.526, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.7573, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0093, root_relative_squared_error: 0.0187, scimark_benchmark: 1308.0477, usercpu_time_millis: 2.452, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 2.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8539, kappa: 0.7086, kb_relative_information_score: 897.511, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.865, predictive_accuracy: 0.8535, prior_entropy: 0.9912, recall: 0.8535, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.643, scimark_benchmark: 1324.8105, usercpu_time_millis: 4.476, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 4.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7922, kappa: 0.5785, kb_relative_information_score: 427.7123, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8015, predictive_accuracy: 0.7959, prior_entropy: 0.9912, recall: 0.7959, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.836, scimark_benchmark: 1335.2109, usercpu_time_millis: 9.43, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 9.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7474, kappa: 0.4886, kb_relative_information_score: 527.4941, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7606, predictive_accuracy: 0.7536, prior_entropy: 0.9912, recall: 0.7536, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7914, scimark_benchmark: 1306.2258, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 2.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1326.9684, mean_absolute_error: 0.018, 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: 0.0365, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1664, scimark_benchmark: 1336.1538, usercpu_time_millis: 0.586, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.6445, kappa: 0.3153, kb_relative_information_score: 245.8147, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.74, predictive_accuracy: 0.6822, prior_entropy: 0.9912, recall: 0.6822, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9134, scimark_benchmark: 1335.0034, usercpu_time_millis: 2.186, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9744, kappa: 0.9481, kb_relative_information_score: 1162.9102, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9755, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3335, scimark_benchmark: 1307.129, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.758,

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