Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 170475 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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170475 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9972, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9986, recall: 0.9972, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9426, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 0.9426, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8915, kappa: 0.7855, kb_relative_information_score: 0.7835, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9078, predictive_accuracy: 0.8921, prior_entropy: 0.9986, recall: 0.8921, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 0.9768, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 0.9824, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9906, kappa: 0.9812, kb_relative_information_score: 0.9812, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.9986, recall: 0.9906, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 0.9529, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.977, predictive_accuracy: 0.9765, prior_entropy: 0.9986, recall: 0.9765, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 0.9824, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 0.9824, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9427, kappa: 0.8857, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9472, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 0.9849, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.1735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9897, kappa: 0.9793, kb_relative_information_score: 0.9793, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9986, recall: 0.9897, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9919, kappa: 0.9837, kb_relative_information_score: 0.9837, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.9986, recall: 0.9919, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 0.9824, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 0.9849, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.1735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 0.9831, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.184,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9888, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 0.9843, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9828, kappa: 0.9655, kb_relative_information_score: 0.9655, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9829, predictive_accuracy: 0.9828, prior_entropy: 0.9986, recall: 0.9828, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9875, kappa: 0.9749, kb_relative_information_score: 0.9749, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.9986, recall: 0.9875, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9878, kappa: 0.9756, kb_relative_information_score: 0.9755, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.9986, recall: 0.9878, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9894, kappa: 0.9787, kb_relative_information_score: 0.9787, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.9986, recall: 0.9894, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9909, kappa: 0.9818, kb_relative_information_score: 0.9818, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.9986, recall: 0.9909, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.1907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 0.9824, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9888, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 0.9805, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.1972,

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

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

OpenML APIs