Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 22774 runs submitted
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  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8582, kappa: 0.7134, kb_relative_information_score: 0.7109, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8587, predictive_accuracy: 0.858, prior_entropy: 0.9912, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 0.7198, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8596, kappa: 0.7164, kb_relative_information_score: 0.7139, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8603, predictive_accuracy: 0.8594, prior_entropy: 0.9912, recall: 0.8594, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.864, kappa: 0.7254, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.865, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 0.7198, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 0.7198, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8639, kappa: 0.7249, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.861, kappa: 0.719, kb_relative_information_score: 0.7168, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9912, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8669, kappa: 0.7309, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 0.7198, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9912, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8639, kappa: 0.7249, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8669, kappa: 0.7311, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8676, predictive_accuracy: 0.8667, prior_entropy: 0.9912, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8654, kappa: 0.7281, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8661, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8683, kappa: 0.7341, kb_relative_information_score: 0.7316, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.8681, prior_entropy: 0.9912, recall: 0.8681, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 0.7227, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9912, recall: 0.8638, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.8698, kappa: 0.7369, kb_relative_information_score: 0.7345, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8705, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 0.7345, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9912, recall: 0.8696, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7267,

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