OpenML
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142878 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8687, kappa: 0.7128, kb_relative_information_score: 0.6593, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8676, number_of_instances: 1941, precision: 0.871, predictive_accuracy: 0.8676, prior_entropy: 0.9311, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6228, unweighted_recall: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4531, weighted_recall: 0.999, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9311, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.0684, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9959, kappa: 0.9909, kb_relative_information_score: 0.987, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9959, number_of_instances: 1941, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9311, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0659, root_relative_squared_error: 0.1384, unweighted_recall: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 0.9909, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9974, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9311, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1058, unweighted_recall: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9876, kappa: 0.9728, kb_relative_information_score: 0.9618, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9876, number_of_instances: 1941, precision: 0.9877, predictive_accuracy: 0.9876, prior_entropy: 0.9311, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.2342, unweighted_recall: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9918, kappa: 0.9819, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9918, number_of_instances: 1941, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9311, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.1616, unweighted_recall: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8474, kappa: 0.6618, kb_relative_information_score: 0.625, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4531, weighted_recall: 0.848, number_of_instances: 1941, precision: 0.847, predictive_accuracy: 0.848, prior_entropy: 0.9311, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6618, unweighted_recall: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8682, kappa: 0.7104, kb_relative_information_score: 0.6526, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8676, number_of_instances: 1941, precision: 0.8691, predictive_accuracy: 0.8676, prior_entropy: 0.9311, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6276, unweighted_recall: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9938, kappa: 0.9864, kb_relative_information_score: 0.9794, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9938, number_of_instances: 1941, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9311, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.1594, unweighted_recall: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9283, kappa: 0.8429, kb_relative_information_score: 0.8017, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9279, number_of_instances: 1941, precision: 0.9295, predictive_accuracy: 0.9279, prior_entropy: 0.9311, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4845, unweighted_recall: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9717, kappa: 0.9376, kb_relative_information_score: 0.9232, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9717, number_of_instances: 1941, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 0.9311, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.302, unweighted_recall: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.981, kappa: 0.958, kb_relative_information_score: 0.9447, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9809, number_of_instances: 1941, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 0.9311, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.2662, unweighted_recall: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9985, kappa: 0.9966, kb_relative_information_score: 0.9964, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9985, number_of_instances: 1941, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9311, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.0754, unweighted_recall: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7238, kappa: 0.3757, kb_relative_information_score: 0.2808, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4531, weighted_recall: 0.7388, number_of_instances: 1941, precision: 0.7306, predictive_accuracy: 0.7388, prior_entropy: 0.9311, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8457, unweighted_recall: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8771, kappa: 0.7294, kb_relative_information_score: 0.6803, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8769, number_of_instances: 1941, precision: 0.8775, predictive_accuracy: 0.8769, prior_entropy: 0.9311, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6325, unweighted_recall: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9815, kappa: 0.9593, kb_relative_information_score: 0.9446, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9815, number_of_instances: 1941, precision: 0.9818, predictive_accuracy: 0.9815, prior_entropy: 0.9311, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2673, unweighted_recall: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9794, kappa: 0.9544, kb_relative_information_score: 0.9442, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9794, number_of_instances: 1941, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 0.9311, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, unweighted_recall: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 0.9948, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9974, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9311, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.0843, unweighted_recall: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9908, kappa: 0.9796, kb_relative_information_score: 0.9713, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9907, number_of_instances: 1941, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 0.9311, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.1769, unweighted_recall: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8392, kappa: 0.6508, kb_relative_information_score: 0.5665, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4531, weighted_recall: 0.8372, number_of_instances: 1941, precision: 0.8444, predictive_accuracy: 0.8372, prior_entropy: 0.9311, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6676, unweighted_recall: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.979, kappa: 0.9538, kb_relative_information_score: 0.9423, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9789, number_of_instances: 1941, precision: 0.9794, predictive_accuracy: 0.9789, prior_entropy: 0.9311, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2492, unweighted_recall: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9287, kappa: 0.8435, kb_relative_information_score: 0.7943, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9284, number_of_instances: 1941, precision: 0.9295, predictive_accuracy: 0.9284, prior_entropy: 0.9311, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.227, root_relative_squared_error: 0.477, unweighted_recall: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9851, kappa: 0.9672, kb_relative_information_score: 0.9528, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9851, number_of_instances: 1941, precision: 0.9854, predictive_accuracy: 0.9851, prior_entropy: 0.9311, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.2384, unweighted_recall: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.961, kappa: 0.9141, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9608, number_of_instances: 1941, precision: 0.9613, predictive_accuracy: 0.9608, prior_entropy: 0.9311, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3602, unweighted_recall: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9851, kappa: 0.9671, kb_relative_information_score: 0.9634, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9851, number_of_instances: 1941, precision: 0.9852, predictive_accuracy: 0.9851, prior_entropy: 0.9311, relative_absolute_error: 0.0361, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2098, unweighted_recall: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9107, kappa: 0.8036, kb_relative_information_score: 0.7356, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9104, number_of_instances: 1941, precision: 0.9113, predictive_accuracy: 0.9104, prior_entropy: 0.9311, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5382, unweighted_recall: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8308, kappa: 0.6286, kb_relative_information_score: 0.5074, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4531, weighted_recall: 0.83, number_of_instances: 1941, precision: 0.8321, predictive_accuracy: 0.83, prior_entropy: 0.9311, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.339, root_relative_squared_error: 0.7122, unweighted_recall: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4531, weighted_recall: 0.999, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9311, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679, unweighted_recall: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9913, kappa: 0.9807, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9912, number_of_instances: 1941, precision: 0.9913, predictive_accuracy: 0.9912, prior_entropy: 0.9311, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1978, unweighted_recall: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 0.9902, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9974, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9311, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1052, unweighted_recall: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9502, kappa: 0.8906, kb_relative_information_score: 0.8551, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4531, weighted_recall: 0.95, number_of_instances: 1941, precision: 0.9507, predictive_accuracy: 0.95, prior_entropy: 0.9311, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4133, unweighted_recall: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9861, kappa: 0.9691, kb_relative_information_score: 0.966, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9861, number_of_instances: 1941, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 0.9311, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2303, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.984, kappa: 0.9647, kb_relative_information_score: 0.9593, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4531, weighted_recall: 0.984, number_of_instances: 1941, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9311, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.2137, unweighted_recall: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9283, kappa: 0.8426, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9279, number_of_instances: 1941, precision: 0.9293, predictive_accuracy: 0.9279, prior_entropy: 0.9311, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4614, unweighted_recall: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9866, kappa: 0.9706, kb_relative_information_score: 0.955, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9866, number_of_instances: 1941, precision: 0.9868, predictive_accuracy: 0.9866, prior_entropy: 0.9311, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2255, unweighted_recall: 0.988,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9668, kappa: 0.9272, kb_relative_information_score: 0.884, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9665, number_of_instances: 1941, precision: 0.9681, predictive_accuracy: 0.9665, prior_entropy: 0.9311, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3595, unweighted_recall: 0.9709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9758, kappa: 0.9466, kb_relative_information_score: 0.9282, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9758, number_of_instances: 1941, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.9311, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.2822, unweighted_recall: 0.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9606, kappa: 0.9135, kb_relative_information_score: 0.8904, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9603, number_of_instances: 1941, precision: 0.9614, predictive_accuracy: 0.9603, prior_entropy: 0.9311, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3424, unweighted_recall: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4531, weighted_recall: 1, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9311, root_mean_prior_squared_error: 0.4759, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9635, kappa: 0.9197, kb_relative_information_score: 0.8975, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9634, number_of_instances: 1941, precision: 0.9638, predictive_accuracy: 0.9634, prior_entropy: 0.9311, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3437, unweighted_recall: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9721, kappa: 0.9385, kb_relative_information_score: 0.9224, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9722, number_of_instances: 1941, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.9311, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3053, unweighted_recall: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9483, kappa: 0.8866, kb_relative_information_score: 0.8397, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4531, weighted_recall: 0.948, number_of_instances: 1941, precision: 0.9493, predictive_accuracy: 0.948, prior_entropy: 0.9311, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.406, unweighted_recall: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9317, kappa: 0.8497, kb_relative_information_score: 0.8265, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9315, number_of_instances: 1941, precision: 0.9321, predictive_accuracy: 0.9315, prior_entropy: 0.9311, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.503, unweighted_recall: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9228, kappa: 0.8298, kb_relative_information_score: 0.8138, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4531, weighted_recall: 0.9227, number_of_instances: 1941, precision: 0.9229, predictive_accuracy: 0.9227, prior_entropy: 0.9311, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.246, root_relative_squared_error: 0.5169, unweighted_recall: 0.9158,

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