OpenML
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 22833 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_7 study_98 study_99
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22833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9442, kappa: 0.9375, kb_relative_information_score: 0.9228, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9444, number_of_instances: 1080, precision: 0.9446, predictive_accuracy: 0.9444, prior_entropy: 3.1699, relative_absolute_error: 0.1188, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.3392, unweighted_recall: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9014, kappa: 0.8885, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9009, number_of_instances: 1080, precision: 0.905, predictive_accuracy: 0.9009, prior_entropy: 3.1699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4452, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9442, kappa: 0.9375, kb_relative_information_score: 0.9216, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9444, number_of_instances: 1080, precision: 0.9447, predictive_accuracy: 0.9444, prior_entropy: 3.1699, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3463, unweighted_recall: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9276, kappa: 0.9188, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9278, prior_entropy: 3.1699, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.381, unweighted_recall: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9285, kappa: 0.9198, kb_relative_information_score: 0.9264, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9287, number_of_instances: 1080, precision: 0.9296, predictive_accuracy: 0.9287, prior_entropy: 3.1699, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3661, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9368, kappa: 0.9292, kb_relative_information_score: 0.9332, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1975, weighted_recall: 0.937, number_of_instances: 1080, precision: 0.9375, predictive_accuracy: 0.937, prior_entropy: 3.1699, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.3334, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9014, kappa: 0.8885, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9009, number_of_instances: 1080, precision: 0.905, predictive_accuracy: 0.9009, prior_entropy: 3.1699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4452, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.953, kappa: 0.9469, kb_relative_information_score: 0.7988, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9528, number_of_instances: 1080, precision: 0.9536, predictive_accuracy: 0.9528, prior_entropy: 3.1699, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4317, unweighted_recall: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9537, kappa: 0.9479, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9537, number_of_instances: 1080, precision: 0.9542, predictive_accuracy: 0.9537, prior_entropy: 3.1699, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2928, unweighted_recall: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.953, kappa: 0.9469, kb_relative_information_score: 0.7988, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9528, number_of_instances: 1080, precision: 0.9536, predictive_accuracy: 0.9528, prior_entropy: 3.1699, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.4317, unweighted_recall: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9285, kappa: 0.9198, kb_relative_information_score: 0.9264, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9287, number_of_instances: 1080, precision: 0.9296, predictive_accuracy: 0.9287, prior_entropy: 3.1699, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3661, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9537, kappa: 0.9479, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9537, number_of_instances: 1080, precision: 0.9542, predictive_accuracy: 0.9537, prior_entropy: 3.1699, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2928, unweighted_recall: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9442, kappa: 0.9375, kb_relative_information_score: 0.9216, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9444, number_of_instances: 1080, precision: 0.9447, predictive_accuracy: 0.9444, prior_entropy: 3.1699, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.3463, unweighted_recall: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9014, kappa: 0.8885, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9009, number_of_instances: 1080, precision: 0.905, predictive_accuracy: 0.9009, prior_entropy: 3.1699, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4452, unweighted_recall: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9285, kappa: 0.9198, kb_relative_information_score: 0.9264, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9287, number_of_instances: 1080, precision: 0.9296, predictive_accuracy: 0.9287, prior_entropy: 3.1699, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3661, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.936, kappa: 0.9281, kb_relative_information_score: 0.916, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9361, number_of_instances: 1080, precision: 0.9375, predictive_accuracy: 0.9361, prior_entropy: 3.1699, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.116, root_relative_squared_error: 0.3693, unweighted_recall: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.4699, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.9529, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7631, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9276, kappa: 0.9188, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9278, prior_entropy: 3.1699, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.381, unweighted_recall: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9567, kappa: 0.951, kb_relative_information_score: 0.9133, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9565, number_of_instances: 1080, precision: 0.9571, predictive_accuracy: 0.9565, prior_entropy: 3.1699, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2968, unweighted_recall: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9518, kappa: 0.9458, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9519, number_of_instances: 1080, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.1699, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3146, unweighted_recall: 0.9519,

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