Task
Supervised Classification on satimage

Supervised Classification on satimage

Task 2074 Supervised Classification satimage 21619 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21619 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8108, kappa: 0.7937, kb_relative_information_score: 0.7364, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8353, number_of_instances: 6430, precision: 0.8184, predictive_accuracy: 0.8353, prior_entropy: 2.4834, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8189, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8093, kappa: 0.7936, kb_relative_information_score: 0.7352, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8353, number_of_instances: 6430, precision: 0.8184, predictive_accuracy: 0.8353, prior_entropy: 2.4834, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.5558, unweighted_recall: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8204, kappa: 0.7962, kb_relative_information_score: 0.7666, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8369, number_of_instances: 6430, precision: 0.8205, predictive_accuracy: 0.8369, prior_entropy: 2.4834, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.193, root_relative_squared_error: 0.5252, unweighted_recall: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8111, kappa: 0.7941, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8356, number_of_instances: 6430, precision: 0.8187, predictive_accuracy: 0.8356, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8081, kappa: 0.7883, kb_relative_information_score: 0.7339, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8311, number_of_instances: 6430, precision: 0.8155, predictive_accuracy: 0.8311, prior_entropy: 2.4834, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.5647, unweighted_recall: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8108, kappa: 0.7937, kb_relative_information_score: 0.7364, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8353, number_of_instances: 6430, precision: 0.8184, predictive_accuracy: 0.8353, prior_entropy: 2.4834, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8189, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.7438, kappa: 0.7426, kb_relative_information_score: 0.6045, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.2701, weighted_recall: 0.7964, number_of_instances: 6430, precision: 0.8015, predictive_accuracy: 0.7964, prior_entropy: 2.4834, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.6383, unweighted_recall: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.803, kappa: 0.7913, kb_relative_information_score: 0.7264, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8337, number_of_instances: 6430, precision: 0.8146, predictive_accuracy: 0.8337, prior_entropy: 2.4834, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5586, unweighted_recall: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7992, kappa: 0.7869, kb_relative_information_score: 0.7155, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8303, number_of_instances: 6430, precision: 0.8146, predictive_accuracy: 0.8303, prior_entropy: 2.4834, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5661, unweighted_recall: 0.7498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8189, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8079, kappa: 0.7921, kb_relative_information_score: 0.7319, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8342, number_of_instances: 6430, precision: 0.8186, predictive_accuracy: 0.8342, prior_entropy: 2.4834, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8021, kappa: 0.7866, kb_relative_information_score: 0.7319, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2701, weighted_recall: 0.83, number_of_instances: 6430, precision: 0.8145, predictive_accuracy: 0.83, prior_entropy: 2.4834, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.5664, unweighted_recall: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8189, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8111, kappa: 0.7941, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8356, number_of_instances: 6430, precision: 0.8187, predictive_accuracy: 0.8356, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8093, kappa: 0.7936, kb_relative_information_score: 0.7352, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8353, number_of_instances: 6430, precision: 0.8184, predictive_accuracy: 0.8353, prior_entropy: 2.4834, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.5558, unweighted_recall: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, kappa: 0.7328, kb_relative_information_score: 0.5886, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2701, weighted_recall: 0.7894, number_of_instances: 6430, predictive_accuracy: 0.7894, prior_entropy: 2.4834, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.6508, unweighted_recall: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7365, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8188, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5561, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.7838, kappa: 0.7782, kb_relative_information_score: 0.6922, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.2701, weighted_recall: 0.824, number_of_instances: 6430, precision: 0.8123, predictive_accuracy: 0.824, prior_entropy: 2.4834, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.5788, unweighted_recall: 0.7337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8111, kappa: 0.7941, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8356, number_of_instances: 6430, precision: 0.8187, predictive_accuracy: 0.8356, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8524, kappa: 0.824, kb_relative_information_score: 0.8227, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8582, number_of_instances: 6430, precision: 0.8501, predictive_accuracy: 0.8582, prior_entropy: 2.4834, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4928, unweighted_recall: 0.8136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.8504, kappa: 0.8225, kb_relative_information_score: 0.8195, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8571, number_of_instances: 6430, precision: 0.8483, predictive_accuracy: 0.8571, prior_entropy: 2.4834, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.4912, unweighted_recall: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8204, kappa: 0.7962, kb_relative_information_score: 0.7666, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8369, number_of_instances: 6430, precision: 0.8205, predictive_accuracy: 0.8369, prior_entropy: 2.4834, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.193, root_relative_squared_error: 0.5252, unweighted_recall: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8429, kappa: 0.8153, kb_relative_information_score: 0.8051, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8515, number_of_instances: 6430, precision: 0.8406, predictive_accuracy: 0.8515, prior_entropy: 2.4834, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4987, unweighted_recall: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8189, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8111, kappa: 0.7941, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8356, number_of_instances: 6430, precision: 0.8187, predictive_accuracy: 0.8356, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8093, kappa: 0.7936, kb_relative_information_score: 0.7352, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8353, number_of_instances: 6430, precision: 0.8184, predictive_accuracy: 0.8353, prior_entropy: 2.4834, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.5558, unweighted_recall: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, kappa: 0.7328, kb_relative_information_score: 0.5886, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2701, weighted_recall: 0.7894, number_of_instances: 6430, predictive_accuracy: 0.7894, prior_entropy: 2.4834, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.6508, unweighted_recall: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8108, kappa: 0.7937, kb_relative_information_score: 0.7364, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8353, number_of_instances: 6430, precision: 0.8184, predictive_accuracy: 0.8353, prior_entropy: 2.4834, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7366, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8189, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8108, kappa: 0.7937, kb_relative_information_score: 0.7364, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8353, number_of_instances: 6430, precision: 0.8184, predictive_accuracy: 0.8353, prior_entropy: 2.4834, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5563, unweighted_recall: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8079, kappa: 0.7921, kb_relative_information_score: 0.7319, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8342, number_of_instances: 6430, precision: 0.8186, predictive_accuracy: 0.8342, prior_entropy: 2.4834, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.811, kappa: 0.7867, kb_relative_information_score: 0.735, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8295, number_of_instances: 6430, precision: 0.8164, predictive_accuracy: 0.8295, prior_entropy: 2.4834, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5685, unweighted_recall: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, kappa: 0.7328, kb_relative_information_score: 0.5886, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2701, weighted_recall: 0.7894, number_of_instances: 6430, predictive_accuracy: 0.7894, prior_entropy: 2.4834, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.6508, unweighted_recall: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.803, kappa: 0.7913, kb_relative_information_score: 0.7264, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8337, number_of_instances: 6430, precision: 0.8146, predictive_accuracy: 0.8337, prior_entropy: 2.4834, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5586, unweighted_recall: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8113, kappa: 0.7943, kb_relative_information_score: 0.7365, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8358, number_of_instances: 6430, precision: 0.8188, predictive_accuracy: 0.8358, prior_entropy: 2.4834, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5561, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, kappa: 0.7328, kb_relative_information_score: 0.5886, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2701, weighted_recall: 0.7894, number_of_instances: 6430, predictive_accuracy: 0.7894, prior_entropy: 2.4834, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.6508, unweighted_recall: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8076, kappa: 0.7919, kb_relative_information_score: 0.7318, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8341, number_of_instances: 6430, precision: 0.8183, predictive_accuracy: 0.8341, prior_entropy: 2.4834, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.5581, unweighted_recall: 0.7588,

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