Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3494 Supervised Classification monks-problems-3 73042 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.3984, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 534.0902, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.4652, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0437, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.1673, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 509.4566, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 0.9989, recall: 0.9693, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 534.0431, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.7068, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0432, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9711, kappa: 0.9422, kb_relative_information_score: 523.1696, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9714, predictive_accuracy: 0.9711, prior_entropy: 0.9989, recall: 0.9711, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.2004, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.3021, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.8468, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9675, kappa: 0.935, kb_relative_information_score: 511.2835, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 0.9989, recall: 0.9675, relative_absolute_error: 0.0821, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.3021, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 498.3933, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.6973, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.8914, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 490.3926, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.1969, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.111, root_relative_squared_error: 0.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.7048, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.4441, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.9566, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 493.5927, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 529.5281, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.7679, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.4927, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0437, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 529.5408, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 486.8847, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.2717, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.5068, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.956, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.6331, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 501.9708, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 487.2893, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.6831, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.3332, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.6518, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 529.1945, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 527.2607, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.2785, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.1305, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.0128, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 498.3482, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 527.8464, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 488.9879, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3615,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 528.8625, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 0.9989, recall: 0.9765, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 490.173, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.3902, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.675, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 531.9003, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 493.5547, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 527.8633, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 532.5628, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 528.8329, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6609, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 509.7581, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 0.9989, recall: 0.9693, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.296,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs