Task
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9486, kappa: 0.9433, kb_relative_information_score: 0.9505, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 3.4594, recall: 0.9485, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8766, kappa: 0.8656, kb_relative_information_score: 0.8474, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8788, predictive_accuracy: 0.8778, prior_entropy: 3.4594, recall: 0.8778, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9514, kappa: 0.9467, kb_relative_information_score: 0.9546, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9517, predictive_accuracy: 0.9515, prior_entropy: 3.4594, recall: 0.9515, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.7074, kappa: 0.68, kb_relative_information_score: 0.748, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7109, predictive_accuracy: 0.7091, prior_entropy: 3.4594, recall: 0.7091, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9535, kappa: 0.9489, kb_relative_information_score: 0.953, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9539, predictive_accuracy: 0.9535, prior_entropy: 3.4594, recall: 0.9535, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.7831, kappa: 0.7644, kb_relative_information_score: 0.701, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7887, predictive_accuracy: 0.7859, prior_entropy: 3.4594, recall: 0.7859, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0548, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9535, kappa: 0.9489, kb_relative_information_score: 0.9536, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9538, predictive_accuracy: 0.9535, prior_entropy: 3.4594, recall: 0.9535, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9485, kappa: 0.9433, kb_relative_information_score: 0.9514, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9491, predictive_accuracy: 0.9485, prior_entropy: 3.4594, recall: 0.9485, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9147, kappa: 0.9067, kb_relative_information_score: 0.9003, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9151, predictive_accuracy: 0.9152, prior_entropy: 3.4594, recall: 0.9152, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0548, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9499, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9529, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7809, kappa: 0.7689, kb_relative_information_score: 0.7815, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8016, predictive_accuracy: 0.7899, prior_entropy: 3.4594, recall: 0.7899, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9787, kappa: 0.9767, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.4594, recall: 0.9788, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7834, kappa: 0.7711, kb_relative_information_score: 0.7836, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8028, predictive_accuracy: 0.7919, prior_entropy: 3.4594, recall: 0.7919, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.7779, kappa: 0.7644, kb_relative_information_score: 0.7773, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7957, predictive_accuracy: 0.7859, prior_entropy: 3.4594, recall: 0.7859, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7786, kappa: 0.7656, kb_relative_information_score: 0.7784, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7959, predictive_accuracy: 0.7869, prior_entropy: 3.4594, recall: 0.7869, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6848,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9787, kappa: 0.9767, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 3.4594, recall: 0.9788, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9798, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9787, kappa: 0.9767, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.4594, recall: 0.9788, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9787, kappa: 0.9767, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.979, predictive_accuracy: 0.9788, prior_entropy: 3.4594, recall: 0.9788, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.216,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9787, kappa: 0.9767, kb_relative_information_score: 0.9779, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.4594, recall: 0.9788, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9808, kappa: 0.9789, kb_relative_information_score: 0.98, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.981, predictive_accuracy: 0.9808, prior_entropy: 3.4594, recall: 0.9808, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.2055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 0.979, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9799, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9212, kappa: 0.9133, kb_relative_information_score: 0.876, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9219, predictive_accuracy: 0.9212, prior_entropy: 3.4594, recall: 0.9212, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9464, kappa: 0.9411, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 3.4594, recall: 0.9465, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.089, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9255, kappa: 0.9189, kb_relative_information_score: 0.9278, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 3.4594, recall: 0.9263, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.3473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9404, kappa: 0.9344, kb_relative_information_score: 0.9362, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 3.4594, recall: 0.9404, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8263, kappa: 0.81, kb_relative_information_score: 0.7205, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8302, predictive_accuracy: 0.8273, prior_entropy: 3.4594, recall: 0.8273, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8439, kappa: 0.8289, kb_relative_information_score: 0.719, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8468, predictive_accuracy: 0.8444, prior_entropy: 3.4594, recall: 0.8444, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9474, kappa: 0.9422, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9479, predictive_accuracy: 0.9475, prior_entropy: 3.4594, recall: 0.9475, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.3016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.7132, kappa: 0.6867, kb_relative_information_score: 0.7499, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7157, predictive_accuracy: 0.7152, prior_entropy: 3.4594, recall: 0.7152, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9879, kappa: 0.9867, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 3.4594, recall: 0.9879, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9848, kappa: 0.9833, kb_relative_information_score: 0.9842, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.985, predictive_accuracy: 0.9848, prior_entropy: 3.4594, recall: 0.9848, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9889, kappa: 0.9878, kb_relative_information_score: 0.9884, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 3.4594, recall: 0.9889, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0449, root_relative_squared_error: 0.1563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9879, kappa: 0.9867, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.988, predictive_accuracy: 0.9879, prior_entropy: 3.4594, recall: 0.9879, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.928, kappa: 0.9211, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9282, predictive_accuracy: 0.9283, prior_entropy: 3.4594, recall: 0.9283, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.569, kappa: 0.5544, kb_relative_information_score: 0.0007, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6301, predictive_accuracy: 0.5949, prior_entropy: 3.4594, recall: 0.5949, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7413, kappa: 0.7189, kb_relative_information_score: 0.5336, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7466, predictive_accuracy: 0.7444, prior_entropy: 3.4594, recall: 0.7444, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8657, kappa: 0.8533, kb_relative_information_score: 0.7811, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 3.4594, recall: 0.8667, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.843, kappa: 0.8278, kb_relative_information_score: 0.7629, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8463, predictive_accuracy: 0.8434, prior_entropy: 3.4594, recall: 0.8434, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9495, kappa: 0.9444, kb_relative_information_score: 0.9483, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9503, predictive_accuracy: 0.9495, prior_entropy: 3.4594, recall: 0.9495, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7093, kappa: 0.6833, kb_relative_information_score: 0.7441, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7115, predictive_accuracy: 0.7121, prior_entropy: 3.4594, recall: 0.7121, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.7349, kappa: 0.7122, kb_relative_information_score: 0.6054, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7393, predictive_accuracy: 0.7384, prior_entropy: 3.4594, recall: 0.7384, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9393, kappa: 0.9333, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9399, predictive_accuracy: 0.9394, prior_entropy: 3.4594, recall: 0.9394, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9576, kappa: 0.9533, kb_relative_information_score: 0.9584, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9579, predictive_accuracy: 0.9576, prior_entropy: 3.4594, recall: 0.9576, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.079, root_relative_squared_error: 0.2749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8012, kappa: 0.7833, kb_relative_information_score: 0.4142, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8056, predictive_accuracy: 0.803, prior_entropy: 3.4594, recall: 0.803, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9525, kappa: 0.9478, kb_relative_information_score: 0.9516, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9527, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9516, kappa: 0.9467, kb_relative_information_score: 0.9542, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9519, predictive_accuracy: 0.9515, prior_entropy: 3.4594, recall: 0.9515, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.2914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9514, kappa: 0.9467, kb_relative_information_score: 0.9556, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9519, predictive_accuracy: 0.9515, prior_entropy: 3.4594, recall: 0.9515, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.5227, kappa: 0.51, kb_relative_information_score: 0.0001, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5626, predictive_accuracy: 0.5545, prior_entropy: 3.4594, recall: 0.5545, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9485, kappa: 0.9433, kb_relative_information_score: 0.9471, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 3.4594, recall: 0.9485, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.3082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8741, kappa: 0.8622, kb_relative_information_score: 0.7755, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8759, predictive_accuracy: 0.8747, prior_entropy: 3.4594, recall: 0.8747, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.149, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9546, kappa: 0.95, kb_relative_information_score: 0.9559, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 3.4594, recall: 0.9545, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9556, kappa: 0.9511, kb_relative_information_score: 0.9559, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9558, predictive_accuracy: 0.9556, prior_entropy: 3.4594, recall: 0.9556, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9475, kappa: 0.9422, kb_relative_information_score: 0.9512, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.948, predictive_accuracy: 0.9475, prior_entropy: 3.4594, recall: 0.9475, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9504, kappa: 0.9456, kb_relative_information_score: 0.9503, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9506, predictive_accuracy: 0.9505, prior_entropy: 3.4594, recall: 0.9505, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9557, kappa: 0.9511, kb_relative_information_score: 0.9551, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9563, predictive_accuracy: 0.9556, prior_entropy: 3.4594, recall: 0.9556, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.2901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9529, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9531, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9475, kappa: 0.9422, kb_relative_information_score: 0.9505, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.948, predictive_accuracy: 0.9475, prior_entropy: 3.4594, recall: 0.9475, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.3053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9507, kappa: 0.9456, kb_relative_information_score: 0.9521, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9513, predictive_accuracy: 0.9505, prior_entropy: 3.4594, recall: 0.9505, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9535, kappa: 0.9489, kb_relative_information_score: 0.9533, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9537, predictive_accuracy: 0.9535, prior_entropy: 3.4594, recall: 0.9535, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.2914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9557, kappa: 0.9511, kb_relative_information_score: 0.9543, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.956, predictive_accuracy: 0.9556, prior_entropy: 3.4594, recall: 0.9556, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.2877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9496, kappa: 0.9444, kb_relative_information_score: 0.9433, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.95, predictive_accuracy: 0.9495, prior_entropy: 3.4594, recall: 0.9495, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9536, kappa: 0.9489, kb_relative_information_score: 0.9541, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9539, predictive_accuracy: 0.9535, prior_entropy: 3.4594, recall: 0.9535, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.2841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9506, kappa: 0.9456, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.951, predictive_accuracy: 0.9505, prior_entropy: 3.4594, recall: 0.9505, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.2914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9402, kappa: 0.9344, kb_relative_information_score: 0.9411, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9407, predictive_accuracy: 0.9404, prior_entropy: 3.4594, recall: 0.9404, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9526, kappa: 0.9478, kb_relative_information_score: 0.9484, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9532, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.3047,

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