Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112883 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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112883 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, unweighted_recall: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, unweighted_recall: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9016, kappa: 0.5055, kb_relative_information_score: 0.2733, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9102, number_of_instances: 1458, precision: 0.9005, predictive_accuracy: 0.9102, prior_entropy: 0.5353, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.7818, unweighted_recall: 0.7142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9031, kappa: 0.5131, kb_relative_information_score: 0.2613, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9115, number_of_instances: 1458, precision: 0.9022, predictive_accuracy: 0.9115, prior_entropy: 0.5353, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.7782, unweighted_recall: 0.7174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9055, kappa: 0.5287, kb_relative_information_score: 0.2676, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.9043, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7828, unweighted_recall: 0.7279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8823, kappa: 0.375, kb_relative_information_score: -0.6151, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9033, number_of_instances: 1458, precision: 0.8943, predictive_accuracy: 0.9033, prior_entropy: 0.5353, relative_absolute_error: 1.1372, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.9057, unweighted_recall: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8894, kappa: 0.4173, kb_relative_information_score: 0.1861, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7987, unweighted_recall: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8964, kappa: 0.4617, kb_relative_information_score: 0.1404, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9108, number_of_instances: 1458, precision: 0.9023, predictive_accuracy: 0.9108, prior_entropy: 0.5353, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.7969, unweighted_recall: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9061, kappa: 0.5311, kb_relative_information_score: 0.272, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9136, number_of_instances: 1458, precision: 0.905, predictive_accuracy: 0.9136, prior_entropy: 0.5353, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.7792, unweighted_recall: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.213, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.7909, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9044, kappa: 0.5239, kb_relative_information_score: 0.2573, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9115, number_of_instances: 1458, precision: 0.9028, predictive_accuracy: 0.9115, prior_entropy: 0.5353, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.7873, unweighted_recall: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9058, kappa: 0.5284, kb_relative_information_score: 0.2703, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9136, number_of_instances: 1458, precision: 0.9049, predictive_accuracy: 0.9136, prior_entropy: 0.5353, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.7785, unweighted_recall: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, unweighted_recall: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.894, kappa: 0.4581, kb_relative_information_score: 0.2245, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2148, weighted_recall: 0.906, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5353, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7915, unweighted_recall: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -0.0167, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8786, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5353, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9424, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9042, kappa: 0.5179, kb_relative_information_score: 0.2562, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7772, unweighted_recall: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8608, kappa: 0.2419, kb_relative_information_score: 0.078, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8937, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8937, prior_entropy: 0.5353, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.8545, unweighted_recall: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, unweighted_recall: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9042, kappa: 0.5179, kb_relative_information_score: 0.2562, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7772, unweighted_recall: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.894, kappa: 0.4581, kb_relative_information_score: 0.2245, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2148, weighted_recall: 0.906, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5353, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7915, unweighted_recall: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8608, kappa: 0.2419, kb_relative_information_score: 0.078, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8937, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8937, prior_entropy: 0.5353, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.8545, unweighted_recall: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8894, kappa: 0.4173, kb_relative_information_score: 0.1861, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7987, unweighted_recall: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -0.0167, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8786, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5353, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9424, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8608, kappa: 0.2419, kb_relative_information_score: 0.078, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8937, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8937, prior_entropy: 0.5353, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.8545, unweighted_recall: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -0.0167, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8786, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5353, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9424, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -0.0167, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8786, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5353, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9424, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, unweighted_recall: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8894, kappa: 0.4173, kb_relative_information_score: 0.1861, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7987, unweighted_recall: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9018, kappa: 0.5051, kb_relative_information_score: 0.2696, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9108, number_of_instances: 1458, precision: 0.9012, predictive_accuracy: 0.9108, prior_entropy: 0.5353, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.7768, unweighted_recall: 0.7122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9042, kappa: 0.5179, kb_relative_information_score: 0.2562, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7771, unweighted_recall: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, unweighted_recall: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.894, kappa: 0.4581, kb_relative_information_score: 0.2245, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2148, weighted_recall: 0.906, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5353, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.7915, unweighted_recall: 0.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8964, kappa: 0.4617, kb_relative_information_score: 0.1404, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9108, number_of_instances: 1458, precision: 0.9023, predictive_accuracy: 0.9108, prior_entropy: 0.5353, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.7969, unweighted_recall: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9055, kappa: 0.5287, kb_relative_information_score: 0.2676, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.9043, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7828, unweighted_recall: 0.7279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9042, kappa: 0.5179, kb_relative_information_score: 0.2562, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.7771, unweighted_recall: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8894, kappa: 0.4173, kb_relative_information_score: 0.1861, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7987, unweighted_recall: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9058, kappa: 0.5284, kb_relative_information_score: 0.2703, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9136, number_of_instances: 1458, precision: 0.9049, predictive_accuracy: 0.9136, prior_entropy: 0.5353, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.7785, unweighted_recall: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -0.0167, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8786, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5353, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9424, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -0.0167, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8786, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5353, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9424, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8608, kappa: 0.2419, kb_relative_information_score: 0.078, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8937, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8937, prior_entropy: 0.5353, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.8545, unweighted_recall: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9049, kappa: 0.5233, kb_relative_information_score: 0.2719, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9129, number_of_instances: 1458, precision: 0.904, predictive_accuracy: 0.9129, prior_entropy: 0.5353, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.7796, unweighted_recall: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8894, kappa: 0.4173, kb_relative_information_score: 0.1861, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8993, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7987, unweighted_recall: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8263, kappa: 0.0343, kb_relative_information_score: -0.0167, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2148, weighted_recall: 0.8786, number_of_instances: 1458, precision: 0.8424, predictive_accuracy: 0.8786, prior_entropy: 0.5353, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9424, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9061, kappa: 0.5311, kb_relative_information_score: 0.2719, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9136, number_of_instances: 1458, precision: 0.905, predictive_accuracy: 0.9136, prior_entropy: 0.5353, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.7793, unweighted_recall: 0.7283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.2148, weighted_recall: 0.9074, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5353, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.259, root_relative_squared_error: 0.791, unweighted_recall: 0.6885,

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