Task
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 143155 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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143155 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.9174, kappa: 0.2428, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.9174, kappa: 0.2428, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.9157, kappa: 0.2252, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9167, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.9177, kappa: 0.2526, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.917, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.9134, kappa: 0.204, kb_relative_information_score: 0.2681, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.9161, kappa: 0.2356, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,

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