OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91907 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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91907 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7508, kappa: 0.4954, kb_relative_information_score: 0.4925, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7508, predictive_accuracy: 0.7507, prior_entropy: 0.9911, recall: 0.7507, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2742, f_measure: 0.283, kappa: -0.4513, kb_relative_information_score: -0.4601, mean_absolute_error: 0.7172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.2833, predictive_accuracy: 0.2828, prior_entropy: 0.9911, recall: 0.2828, relative_absolute_error: 1.4522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8469, root_relative_squared_error: 1.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9911, recall: 0.9825, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9911, recall: 0.9847, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9911, recall: 0.9869, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9911, recall: 0.9847, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 0.9273, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9911, recall: 0.9643, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9774, kappa: 0.9545, kb_relative_information_score: 0.954, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9774, prior_entropy: 0.9911, recall: 0.9774, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9789, kappa: 0.9574, kb_relative_information_score: 0.957, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9798, predictive_accuracy: 0.9789, prior_entropy: 0.9911, recall: 0.9789, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9636, kappa: 0.9264, kb_relative_information_score: 0.9258, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9911, recall: 0.9636, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9789, kappa: 0.9574, kb_relative_information_score: 0.957, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9798, predictive_accuracy: 0.9789, prior_entropy: 0.9911, recall: 0.9789, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9811, kappa: 0.9618, kb_relative_information_score: 0.9614, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.981, prior_entropy: 0.9911, recall: 0.981, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9838, predictive_accuracy: 0.9832, prior_entropy: 0.9911, recall: 0.9832, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9873, predictive_accuracy: 0.9869, prior_entropy: 0.9911, recall: 0.9869, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.726, kappa: 0.467, kb_relative_information_score: 0.494, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8283, predictive_accuracy: 0.7515, prior_entropy: 0.9911, recall: 0.7515, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9837, predictive_accuracy: 0.9832, prior_entropy: 0.9911, recall: 0.9832, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9911, recall: 0.9825, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9157, kappa: 0.8288, kb_relative_information_score: 0.8294, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 0.9911, recall: 0.9162, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7776, kappa: 0.5494, kb_relative_information_score: 0.5474, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7775, predictive_accuracy: 0.7777, prior_entropy: 0.9911, recall: 0.7777, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9838, predictive_accuracy: 0.9832, prior_entropy: 0.9911, recall: 0.9832, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9911, recall: 0.9825, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9911, recall: 0.9825, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.997, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9955, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 0.9763, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9911, recall: 0.9883, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9775, kappa: 0.9545, kb_relative_information_score: 0.954, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9785, predictive_accuracy: 0.9774, prior_entropy: 0.9911, recall: 0.9774, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.8558, kappa: 0.7081, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8745, predictive_accuracy: 0.8593, prior_entropy: 0.9911, recall: 0.8593, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9825, prior_entropy: 0.9911, recall: 0.9825, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 0.9822, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9914, predictive_accuracy: 0.9913, prior_entropy: 0.9911, recall: 0.9913, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 0.9837, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9911, recall: 0.992, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9838, predictive_accuracy: 0.9832, prior_entropy: 0.9911, recall: 0.9832, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9871, predictive_accuracy: 0.9869, prior_entropy: 0.9911, recall: 0.9869, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7761, kappa: 0.5572, kb_relative_information_score: 0.5756, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8484, predictive_accuracy: 0.7915, prior_entropy: 0.9911, recall: 0.7915, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9911, recall: 0.5554, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.3418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9767, kappa: 0.953, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9833, kappa: 0.9662, kb_relative_information_score: 0.9659, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9838, predictive_accuracy: 0.9832, prior_entropy: 0.9911, recall: 0.9832, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,

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