Task
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 17879 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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17879 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.7853, 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: 0.7992, 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: 0.46, f_measure: 0.0171, kappa: -0.08, kb_relative_information_score: -0.0208, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0181, predictive_accuracy: 0.0182, prior_entropy: 3.4594, recall: 0.0182, relative_absolute_error: 1.08, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.4697,
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: 0.9799, 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: 0.88, f_measure: 0.7734, kappa: 0.76, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7905, predictive_accuracy: 0.7818, prior_entropy: 3.4594, recall: 0.7818, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6928,
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: 0.9799, 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: 0.9878, f_measure: 0.9777, kappa: 0.9756, kb_relative_information_score: 0.9769, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.978, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.2211,
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: 0.9798, 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: 0.981, 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: 0.9894, 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: 0.9889, 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: 0.9799, 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: 0.8844, f_measure: 0.7802, 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: 0.8013, 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: 0.8844, f_measure: 0.7812, 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: 0.8004, 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: 0.979, 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: 0.8817, f_measure: 0.776, kappa: 0.7633, kb_relative_information_score: 0.7763, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7942, predictive_accuracy: 0.7848, prior_entropy: 3.4594, recall: 0.7848, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7898, kappa: 0.7767, kb_relative_information_score: 0.7889, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8057, predictive_accuracy: 0.797, prior_entropy: 3.4594, recall: 0.797, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.778, 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: 0.7975, 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,
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: 0.9889, 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: 0.9799, 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: 0.9799, 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: 0.9798, 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: 0.9799, 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: 0.8822, f_measure: 0.7777, 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: 0.795, 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: 0.9889, 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: 0.9799, 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: 0.9889, 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: 0.9798, 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: 0.9799, 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: 0.8817, f_measure: 0.7767, kappa: 0.7633, kb_relative_information_score: 0.7763, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7946, predictive_accuracy: 0.7848, prior_entropy: 3.4594, recall: 0.7848, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.688,
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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: 0.8833, f_measure: 0.7787, kappa: 0.7667, kb_relative_information_score: 0.7794, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7991, predictive_accuracy: 0.7879, prior_entropy: 3.4594, recall: 0.7879, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6831,
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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: 0.7768, 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: 0.7986, 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,
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: 0.9807, 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: 0.9799, 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: 0.9889, 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: 0.8817, f_measure: 0.774, kappa: 0.7633, kb_relative_information_score: 0.7763, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7965, predictive_accuracy: 0.7848, prior_entropy: 3.4594, recall: 0.7848, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.688,
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: 0.9799, 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: 0.9976, f_measure: 0.94, kappa: 0.9344, kb_relative_information_score: 0.9412, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9406, predictive_accuracy: 0.9404, prior_entropy: 3.4594, recall: 0.9404, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8628, kappa: 0.8489, kb_relative_information_score: 0.7878, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8651, predictive_accuracy: 0.8626, prior_entropy: 3.4594, recall: 0.8626, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.52,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9322, kappa: 0.9256, kb_relative_information_score: 0.9214, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.933, predictive_accuracy: 0.9323, prior_entropy: 3.4594, recall: 0.9323, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9322, kappa: 0.9256, kb_relative_information_score: 0.9214, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.933, predictive_accuracy: 0.9323, prior_entropy: 3.4594, recall: 0.9323, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3346,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9412, kappa: 0.9356, kb_relative_information_score: 0.9422, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9416, predictive_accuracy: 0.9414, prior_entropy: 3.4594, recall: 0.9414, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8136, kappa: 0.7967, kb_relative_information_score: 0.7533, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8151, predictive_accuracy: 0.8152, prior_entropy: 3.4594, recall: 0.8152, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5692,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9545, kappa: 0.95, kb_relative_information_score: 0.9561, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9547, predictive_accuracy: 0.9545, prior_entropy: 3.4594, recall: 0.9545, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9484, kappa: 0.9433, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9487, predictive_accuracy: 0.9485, prior_entropy: 3.4594, recall: 0.9485, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.293,
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: 0.5, 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: 0.9981, f_measure: 0.9484, kappa: 0.9433, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9487, predictive_accuracy: 0.9485, prior_entropy: 3.4594, recall: 0.9485, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9424, kappa: 0.9367, kb_relative_information_score: 0.9353, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9429, predictive_accuracy: 0.9424, prior_entropy: 3.4594, recall: 0.9424, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9424, kappa: 0.9367, kb_relative_information_score: 0.9353, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9429, predictive_accuracy: 0.9424, prior_entropy: 3.4594, recall: 0.9424, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9415, kappa: 0.9356, kb_relative_information_score: 0.9398, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9419, predictive_accuracy: 0.9414, prior_entropy: 3.4594, recall: 0.9414, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9415, kappa: 0.9356, kb_relative_information_score: 0.9398, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9419, predictive_accuracy: 0.9414, prior_entropy: 3.4594, recall: 0.9414, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9525, kappa: 0.9478, kb_relative_information_score: 0.9545, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.083, root_relative_squared_error: 0.2887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9525, kappa: 0.9478, kb_relative_information_score: 0.9545, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.953, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.083, root_relative_squared_error: 0.2887,

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