Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 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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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: 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: 0.5, 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: 0.9849, 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: 0.7205, 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: 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: 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: 0.9528, f_measure: 0.954, kappa: 0.9069, kb_relative_information_score: 0.9065, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9911, recall: 0.9541, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 0.9258, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, 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: 0.5, 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: 0.9843, 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: 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: 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: 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: 0.9785, 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: 0.9921, 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: 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: 0.9683, f_measure: 0.9665, kappa: 0.9324, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9665, prior_entropy: 0.9911, recall: 0.9665, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9911, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
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: 0.9974, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9941, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, 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: 0.985, 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: 0.8236, f_measure: 0.8258, kappa: 0.6472, kb_relative_information_score: 0.6454, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8258, predictive_accuracy: 0.8258, prior_entropy: 0.9911, recall: 0.8258, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8399,
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: 0.8779, f_measure: 0.8861, kappa: 0.7688, kb_relative_information_score: 0.7715, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8953, predictive_accuracy: 0.8878, prior_entropy: 0.9911, recall: 0.8878, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6742,
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: 0.9482, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 0.8976, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9911, recall: 0.9497, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.8158, kappa: 0.6307, kb_relative_information_score: 0.6424, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8597, predictive_accuracy: 0.8243, prior_entropy: 0.9911, recall: 0.8243, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9216, kappa: 0.8409, kb_relative_information_score: 0.8412, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9233, predictive_accuracy: 0.922, prior_entropy: 0.9911, recall: 0.922, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9445, kappa: 0.8874, kb_relative_information_score: 0.8872, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9449, predictive_accuracy: 0.9446, prior_entropy: 0.9911, recall: 0.9446, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, 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: 0.9913, 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: 0.5, 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: 0.9803, f_measure: 0.9782, kappa: 0.9559, kb_relative_information_score: 0.9555, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9792, predictive_accuracy: 0.9781, prior_entropy: 0.9911, recall: 0.9781, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2976,
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: 0.2275, f_measure: 0.2369, kappa: -0.545, kb_relative_information_score: -0.5536, mean_absolute_error: 0.7631, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.237, predictive_accuracy: 0.2369, prior_entropy: 0.9911, recall: 0.2369, relative_absolute_error: 1.5452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8736, root_relative_squared_error: 1.758,
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: 0.9256, f_measure: 0.929, kappa: 0.856, kb_relative_information_score: 0.8561, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.9293, prior_entropy: 0.9911, recall: 0.9293, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5351,
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: 0.9915, f_measure: 0.9905, kappa: 0.9809, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9907, predictive_accuracy: 0.9905, prior_entropy: 0.9911, recall: 0.9905, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.1959,
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: 0.8275, f_measure: 0.8295, kappa: 0.6548, kb_relative_information_score: 0.6528, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8295, predictive_accuracy: 0.8294, prior_entropy: 0.9911, recall: 0.8294, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8311,
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: 0.9154, f_measure: 0.9162, kappa: 0.8304, kb_relative_information_score: 0.8294, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9162, 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: 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: 0.9841, 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: 0.9815, f_measure: 0.9796, kappa: 0.9589, kb_relative_information_score: 0.9585, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9796, prior_entropy: 0.9911, recall: 0.9796, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.2875,
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: 0.6415, f_measure: 0.6458, kappa: 0.283, kb_relative_information_score: 0.2789, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6459, predictive_accuracy: 0.6458, prior_entropy: 0.9911, recall: 0.6458, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5952, root_relative_squared_error: 1.1977,
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: 0.9836, f_measure: 0.9818, kappa: 0.9633, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9818, prior_entropy: 0.9911, recall: 0.9818, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9911, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8885, kappa: 0.7744, kb_relative_information_score: 0.773, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8886, predictive_accuracy: 0.8885, prior_entropy: 0.9911, recall: 0.8885, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.672,
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: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9911, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7937, kappa: 0.5824, kb_relative_information_score: 0.5801, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7938, predictive_accuracy: 0.7937, prior_entropy: 0.9911, recall: 0.7937, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 0.9703, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9859, predictive_accuracy: 0.9854, prior_entropy: 0.9911, recall: 0.9854, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.243,
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: 0.6911, f_measure: 0.6936, kappa: 0.3808, kb_relative_information_score: 0.3753, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6944, predictive_accuracy: 0.6931, prior_entropy: 0.9911, recall: 0.6931, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1147,
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: 0.6107, f_measure: 0.5846, kappa: 0.2399, kb_relative_information_score: 0.2952, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7867, predictive_accuracy: 0.6538, prior_entropy: 0.9911, recall: 0.6538, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.1841,
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: 0.2724, f_measure: 0.2813, kappa: -0.4552, kb_relative_information_score: -0.4631, mean_absolute_error: 0.7187, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.2813, predictive_accuracy: 0.2813, prior_entropy: 0.9911, recall: 0.2813, relative_absolute_error: 1.4552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8477, root_relative_squared_error: 1.706,
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: 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,

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