Task
Supervised Classification on adult

Supervised Classification on adult

Task 7592 Supervised Classification adult 12915 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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12915 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8428, kappa: 0.5526, kb_relative_information_score: 0.3949, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8498, number_of_instances: 48842, precision: 0.8425, predictive_accuracy: 0.8498, prior_entropy: 0.7938, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.7536, unweighted_recall: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8452, kappa: 0.5615, kb_relative_information_score: 0.4119, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8511, number_of_instances: 48842, precision: 0.8443, predictive_accuracy: 0.8511, prior_entropy: 0.7938, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.7501, unweighted_recall: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4149, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8515, number_of_instances: 48842, precision: 0.8449, predictive_accuracy: 0.8515, prior_entropy: 0.7938, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7503, unweighted_recall: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4149, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7503, unweighted_recall: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4148, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7502, unweighted_recall: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4146, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8428, kappa: 0.5526, kb_relative_information_score: 0.3949, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8498, number_of_instances: 48842, precision: 0.8425, predictive_accuracy: 0.8498, prior_entropy: 0.7938, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.7536, unweighted_recall: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8452, kappa: 0.5615, kb_relative_information_score: 0.4119, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8511, number_of_instances: 48842, precision: 0.8443, predictive_accuracy: 0.8511, prior_entropy: 0.7938, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.7501, unweighted_recall: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4148, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7502, unweighted_recall: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4148, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7502, unweighted_recall: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4148, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7503, unweighted_recall: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8462, kappa: 0.5656, kb_relative_information_score: 0.4176, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8514, number_of_instances: 48842, precision: 0.8451, predictive_accuracy: 0.8514, prior_entropy: 0.7938, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7517, unweighted_recall: 0.7656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.846, kappa: 0.564, kb_relative_information_score: 0.4148, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7502, unweighted_recall: 0.7637,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8459, kappa: 0.5639, kb_relative_information_score: 0.4149, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8515, number_of_instances: 48842, precision: 0.8449, predictive_accuracy: 0.8515, prior_entropy: 0.7938, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7503, unweighted_recall: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8459, kappa: 0.5638, kb_relative_information_score: 0.4145, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8516, number_of_instances: 48842, precision: 0.845, predictive_accuracy: 0.8516, prior_entropy: 0.7938, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.32, root_relative_squared_error: 0.75, unweighted_recall: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8415, kappa: 0.5639, kb_relative_information_score: 0.3805, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8418, number_of_instances: 48842, precision: 0.8413, predictive_accuracy: 0.8418, prior_entropy: 0.7938, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7709, unweighted_recall: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8415, kappa: 0.5639, kb_relative_information_score: 0.3805, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8418, number_of_instances: 48842, precision: 0.8413, predictive_accuracy: 0.8418, prior_entropy: 0.7938, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7709, unweighted_recall: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8415, kappa: 0.5639, kb_relative_information_score: 0.3805, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8418, number_of_instances: 48842, precision: 0.8413, predictive_accuracy: 0.8418, prior_entropy: 0.7938, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7709, unweighted_recall: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8415, kappa: 0.5639, kb_relative_information_score: 0.3805, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8418, number_of_instances: 48842, precision: 0.8413, predictive_accuracy: 0.8418, prior_entropy: 0.7938, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7709, unweighted_recall: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8415, kappa: 0.5639, kb_relative_information_score: 0.3805, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3641, weighted_recall: 0.8418, number_of_instances: 48842, precision: 0.8413, predictive_accuracy: 0.8418, prior_entropy: 0.7938, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.7709, unweighted_recall: 0.7809,

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