OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20883 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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20883 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9945, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.3114, kappa: 0.0038, kb_relative_information_score: 0.0862, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.3157, predictive_accuracy: 0.3234, prior_entropy: 1.7874, recall: 0.3234, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5816, root_relative_squared_error: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9867, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, kappa: 0.0067, kb_relative_information_score: 0.078, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.308, prior_entropy: 1.7874, recall: 0.308, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7874, recall: 0.9869, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.1767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, kappa: 0.5247, kb_relative_information_score: 0.1499, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6992, prior_entropy: 1.7874, recall: 0.6992, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 0.9777, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9785, kappa: 0.9688, kb_relative_information_score: 0.8555, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9788, predictive_accuracy: 0.9786, prior_entropy: 1.7874, recall: 0.9786, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.9789, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7874, recall: 0.9869, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 0.991, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, recall: 0.9941, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.1116, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.352, prior_entropy: 1.7874, recall: 0.352, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 0.9894, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7874, recall: 0.9929, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9955, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9825, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.1088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9821, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.1644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 0.9763, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7874, recall: 0.9834, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9842, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.3902, kappa: 0.1033, kb_relative_information_score: 0.1847, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.4339, predictive_accuracy: 0.3983, prior_entropy: 1.7874, recall: 0.3983, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.3231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 0.986, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9916, kappa: 0.9879, kb_relative_information_score: 0.985, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9877, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9883, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 0.9365, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7874, recall: 0.9893, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.1964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7874, recall: 0.9881, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0391, root_relative_squared_error: 0.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 0.9871, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9752, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 0.9789, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.1401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 0.9821, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 1.7874, recall: 0.9905, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 0.9926, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, recall: 0.9941, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, recall: 0.9941, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 0.9901, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7874, recall: 0.9917, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9957, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 0.9731, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 1.7874, recall: 0.9845, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.08, root_relative_squared_error: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 0.9785, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7874, recall: 0.9857, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.08, root_relative_squared_error: 0.1929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.9929, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 0.9986, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7874, recall: 0.9988, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.9795, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7874, recall: 0.9869, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 0.994, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7874, recall: 0.9952, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.982, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7874, recall: 0.9869, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.1711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 0.9926, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7874, recall: 0.9941, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 0.982, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7874, recall: 0.9869, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.1683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 0.9954, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7874, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 0.9411, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7874, recall: 0.9834, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.9972, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0832,

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