Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 9978 Supervised Classification ozone-level-8hr 94644 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_73 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, kb_relative_information_score: -2.2796, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 1.466, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9651, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9319, kappa: 0.335, kb_relative_information_score: -0.159, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9436, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3398, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, unweighted_recall: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9295, kappa: 0.307, kb_relative_information_score: -0.3373, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9424, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.9424, prior_entropy: 0.3398, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, unweighted_recall: 0.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1358, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9023, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.9278, kappa: 0.3574, kb_relative_information_score: -0.1056, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9317, number_of_instances: 2534, precision: 0.9247, predictive_accuracy: 0.9317, prior_entropy: 0.3398, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9399, unweighted_recall: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1364, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.933, kappa: 0.3687, kb_relative_information_score: -0.1195, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9412, number_of_instances: 2534, precision: 0.9299, predictive_accuracy: 0.9412, prior_entropy: 0.3398, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, unweighted_recall: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9314, kappa: 0.3621, kb_relative_information_score: -0.1188, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9388, number_of_instances: 2534, precision: 0.9278, predictive_accuracy: 0.9388, prior_entropy: 0.3398, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1364, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9314, kappa: 0.3621, kb_relative_information_score: -0.1188, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9388, number_of_instances: 2534, precision: 0.9278, predictive_accuracy: 0.9388, prior_entropy: 0.3398, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9319, kappa: 0.335, kb_relative_information_score: -0.159, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9436, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3398, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, unweighted_recall: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -0.2887, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9392, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3398, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, unweighted_recall: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1364, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.9297, kappa: 0.3366, kb_relative_information_score: -0.0153, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9384, number_of_instances: 2534, precision: 0.9259, predictive_accuracy: 0.9384, prior_entropy: 0.3398, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.8937, unweighted_recall: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9311, kappa: 0.3631, kb_relative_information_score: -0.1261, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1186, weighted_recall: 0.938, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.938, prior_entropy: 0.3398, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8935, unweighted_recall: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9294, kappa: 0.3525, kb_relative_information_score: -0.1193, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9357, number_of_instances: 2534, precision: 0.9255, predictive_accuracy: 0.9357, prior_entropy: 0.3398, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.8977, unweighted_recall: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, kb_relative_information_score: -2.2796, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 1.466, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9651, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9319, kappa: 0.335, kb_relative_information_score: -0.159, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9436, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3398, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, unweighted_recall: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.9295, kappa: 0.307, kb_relative_information_score: -0.3373, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9424, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.9424, prior_entropy: 0.3398, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8567, unweighted_recall: 0.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1358, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.9023, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1626, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8669, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.9278, kappa: 0.3574, kb_relative_information_score: -0.1056, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9317, number_of_instances: 2534, precision: 0.9247, predictive_accuracy: 0.9317, prior_entropy: 0.3398, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9399, unweighted_recall: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.93, kappa: 0.3532, kb_relative_information_score: -0.1316, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8995, unweighted_recall: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1364, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.933, kappa: 0.3687, kb_relative_information_score: -0.1195, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9412, number_of_instances: 2534, precision: 0.9299, predictive_accuracy: 0.9412, prior_entropy: 0.3398, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, unweighted_recall: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, kb_relative_information_score: -0.4059, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9363, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9314, kappa: 0.3621, kb_relative_information_score: -0.1188, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9388, number_of_instances: 2534, precision: 0.9278, predictive_accuracy: 0.9388, prior_entropy: 0.3398, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -0.2887, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9392, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3398, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, unweighted_recall: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1364, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.9314, kappa: 0.3621, kb_relative_information_score: -0.1188, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9388, number_of_instances: 2534, precision: 0.9278, predictive_accuracy: 0.9388, prior_entropy: 0.3398, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.216, root_relative_squared_error: 0.888, unweighted_recall: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.933, kappa: 0.3687, kb_relative_information_score: -0.1195, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9412, number_of_instances: 2534, precision: 0.9299, predictive_accuracy: 0.9412, prior_entropy: 0.3398, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.8688, unweighted_recall: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -0.2887, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9392, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3398, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, unweighted_recall: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9319, kappa: 0.335, kb_relative_information_score: -0.159, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9436, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3398, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, unweighted_recall: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1364, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.9311, kappa: 0.3631, kb_relative_information_score: -0.1261, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1186, weighted_recall: 0.938, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.938, prior_entropy: 0.3398, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.8935, unweighted_recall: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, kb_relative_information_score: -0.4059, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9363, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -0.2887, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9392, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3398, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.874, unweighted_recall: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.93, kappa: 0.3532, kb_relative_information_score: -0.1315, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.8995, unweighted_recall: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, kb_relative_information_score: -0.4059, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9363, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, kb_relative_information_score: -0.4059, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9363, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9319, kappa: 0.335, kb_relative_information_score: -0.159, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9436, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3398, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, unweighted_recall: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, kb_relative_information_score: -0.4059, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9363, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9319, kappa: 0.335, kb_relative_information_score: -0.159, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9436, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3398, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8501, unweighted_recall: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, kb_relative_information_score: -0.4059, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9363, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.9297, kappa: 0.3514, kb_relative_information_score: -0.1364, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9365, number_of_instances: 2534, precision: 0.9258, predictive_accuracy: 0.9365, prior_entropy: 0.3398, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.9027, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9291, kappa: 0.4119, kb_relative_information_score: -0.3026, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9278, number_of_instances: 2534, precision: 0.9305, predictive_accuracy: 0.9278, prior_entropy: 0.3398, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.9598, unweighted_recall: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9336, kappa: 0.3725, kb_relative_information_score: -0.1636, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1186, weighted_recall: 0.942, number_of_instances: 2534, precision: 0.9308, predictive_accuracy: 0.942, prior_entropy: 0.3398, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.8667, unweighted_recall: 0.6455,

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