Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 86066 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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86066 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, 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: 0.9908, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 0.9911, recall: 0.9898, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2033,
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: 0.8228, f_measure: 0.8347, kappa: 0.6674, kb_relative_information_score: 0.6765, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8696, predictive_accuracy: 0.8411, prior_entropy: 0.9911, recall: 0.8411, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2342, f_measure: 0.2437, kappa: -0.5322, kb_relative_information_score: -0.5387, mean_absolute_error: 0.7558, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.2433, predictive_accuracy: 0.2442, prior_entropy: 0.9911, recall: 0.2442, relative_absolute_error: 1.5304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8694, root_relative_squared_error: 1.7495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3478, f_measure: 0.356, kappa: -0.3047, kb_relative_information_score: -0.3102, mean_absolute_error: 0.6436, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3557, predictive_accuracy: 0.3564, prior_entropy: 0.9911, recall: 0.3564, relative_absolute_error: 1.3031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8022, root_relative_squared_error: 1.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2303, f_measure: 0.2397, kappa: -0.5396, kb_relative_information_score: -0.5476, mean_absolute_error: 0.7602, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.2397, predictive_accuracy: 0.2398, prior_entropy: 0.9911, recall: 0.2398, relative_absolute_error: 1.5393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8719, root_relative_squared_error: 1.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9866, predictive_accuracy: 0.9862, prior_entropy: 0.9911, recall: 0.9862, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368,
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: 0.8872, f_measure: 0.8844, kappa: 0.7674, kb_relative_information_score: 0.7641, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8876, predictive_accuracy: 0.8841, prior_entropy: 0.9911, recall: 0.8841, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6851,
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: 0.5, 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: 0.9369, f_measure: 0.94, kappa: 0.8783, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9409, predictive_accuracy: 0.9402, prior_entropy: 0.9911, recall: 0.9402, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.492,
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,
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: 0.9993, 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: 0.991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, 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: 0.991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, 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: 0.9849, 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: 0.9849, 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: 0.9843, 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: 0.9987, 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: 0.2709, f_measure: 0.2799, kappa: -0.4581, kb_relative_information_score: -0.466, mean_absolute_error: 0.7201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.2799, predictive_accuracy: 0.2799, prior_entropy: 0.9911, recall: 0.2799, relative_absolute_error: 1.4581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8486, root_relative_squared_error: 1.7077,
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: 0.9974, 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: 0.9815, 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: 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: 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: 0.9992, 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: 0.5, 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: 0.9992, 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: 0.9557, f_measure: 0.9563, kappa: 0.9114, kb_relative_information_score: 0.911, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9911, recall: 0.9563, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4208,
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: 0.9893, f_measure: 0.9884, 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: 0.9886, 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: 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: 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: 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: 0.9875, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9866, predictive_accuracy: 0.9862, prior_entropy: 0.9911, recall: 0.9862, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368,
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: 0.646, f_measure: 0.6502, kappa: 0.2918, kb_relative_information_score: 0.2878, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6503, predictive_accuracy: 0.6501, prior_entropy: 0.9911, recall: 0.6501, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.1903,
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: 0.9849, 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: 0.7853, f_measure: 0.7879, kappa: 0.5706, kb_relative_information_score: 0.5682, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7879, predictive_accuracy: 0.7879, prior_entropy: 0.9911, recall: 0.7879, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9268,
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: 0.9869, 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: 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: 0.9154, 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: 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: 0.8236, 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: 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: 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: 0.5, 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: 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: 0.6107, 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: 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: 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: 0.9859, 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: 0.9829, 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: 0.9823, 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: 0.9803, 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: 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: 0.9974, 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: 0.9915, 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: 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: 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: 0.9836, 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: 0.6911, 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: 0.8875, 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: 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,

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