OpenML
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 3891 Supervised Classification gina_agnostic 66404 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_73 under100k
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66404 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9215, kappa: 0.843, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9219, predictive_accuracy: 0.9216, prior_entropy: 0.9998, recall: 0.9216, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5602,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9363, kappa: 0.8725, kb_relative_information_score: 0.8725, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9364, predictive_accuracy: 0.9363, prior_entropy: 0.9998, recall: 0.9363, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.9357, kappa: 0.8713, kb_relative_information_score: 0.8713, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9358, predictive_accuracy: 0.9357, prior_entropy: 0.9998, recall: 0.9357, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9328, kappa: 0.8656, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9328, predictive_accuracy: 0.9328, prior_entropy: 0.9998, recall: 0.9328, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5185,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.8244, kappa: 0.6486, kb_relative_information_score: 0.6486, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 0.9998, recall: 0.8244, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8382,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.9013, kappa: 0.8025, kb_relative_information_score: 0.8027, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9026, predictive_accuracy: 0.9014, prior_entropy: 0.9998, recall: 0.9014, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6282,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7918, kappa: 0.5835, kb_relative_information_score: 0.5835, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7918, predictive_accuracy: 0.7918, prior_entropy: 0.9998, recall: 0.7918, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.8244, kappa: 0.6486, kb_relative_information_score: 0.6486, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 0.9998, recall: 0.8244, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9328, kappa: 0.8656, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9328, predictive_accuracy: 0.9328, prior_entropy: 0.9998, recall: 0.9328, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9328, kappa: 0.8656, kb_relative_information_score: 0.8656, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9328, predictive_accuracy: 0.9328, prior_entropy: 0.9998, recall: 0.9328, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0163, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,

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