Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19714 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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19714 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9613, kappa: 0.9215, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9613, number_of_instances: 11055, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9906, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3416, unweighted_recall: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9396, kappa: 0.8775, kb_relative_information_score: 0.8341, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9397, number_of_instances: 11055, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9906, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4246, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9336, kappa: 0.8653, kb_relative_information_score: 0.749, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9338, number_of_instances: 11055, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 0.9906, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4556, unweighted_recall: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.94, kappa: 0.8782, kb_relative_information_score: 0.8166, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4935, weighted_recall: 0.94, number_of_instances: 11055, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 0.9906, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4255, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9396, kappa: 0.8775, kb_relative_information_score: 0.8341, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9397, number_of_instances: 11055, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9906, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4246, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9336, kappa: 0.8653, kb_relative_information_score: 0.749, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9338, number_of_instances: 11055, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 0.9906, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4556, unweighted_recall: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.94, kappa: 0.8782, kb_relative_information_score: 0.8166, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4935, weighted_recall: 0.94, number_of_instances: 11055, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 0.9906, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4255, unweighted_recall: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9396, kappa: 0.8775, kb_relative_information_score: 0.8341, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9397, number_of_instances: 11055, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9906, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4246, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9396, kappa: 0.8775, kb_relative_information_score: 0.8341, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9397, number_of_instances: 11055, precision: 0.9397, predictive_accuracy: 0.9397, prior_entropy: 0.9906, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4246, unweighted_recall: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9363, kappa: 0.8708, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9363, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4295, unweighted_recall: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8343, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8343, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8343, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9395, number_of_instances: 11055, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9395, number_of_instances: 11055, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9394, kappa: 0.8771, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9395, number_of_instances: 11055, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9336, kappa: 0.8653, kb_relative_information_score: 0.749, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9338, number_of_instances: 11055, precision: 0.9341, predictive_accuracy: 0.9338, prior_entropy: 0.9906, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4556, unweighted_recall: 0.9309,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 0.8344, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9396, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247, unweighted_recall: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9393, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, unweighted_recall: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.938, kappa: 0.8745, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4935, weighted_recall: 0.938, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.938, prior_entropy: 0.9906, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4308, unweighted_recall: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.938, kappa: 0.8745, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4935, weighted_recall: 0.938, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.938, prior_entropy: 0.9906, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4308, unweighted_recall: 0.9373,

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