Task
Supervised Classification on MagicTelescope

Supervised Classification on MagicTelescope

Task 3954 Supervised Classification MagicTelescope 61997 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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61997 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.5351, kappa: 0.0403, kb_relative_information_score: 0.223, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.764, predictive_accuracy: 0.6592, prior_entropy: 0.9355, recall: 0.6592, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5838, root_relative_squared_error: 1.2226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.8488, kappa: 0.6627, kb_relative_information_score: 0.6645, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8534, predictive_accuracy: 0.8528, prior_entropy: 0.9355, recall: 0.8528, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8273, kappa: 0.6133, kb_relative_information_score: 0.6225, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8378, predictive_accuracy: 0.8344, prior_entropy: 0.9355, recall: 0.8344, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5351, kappa: 0.0407, kb_relative_information_score: 0.2237, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7768, predictive_accuracy: 0.6595, prior_entropy: 0.9355, recall: 0.6595, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8273, kappa: 0.6133, kb_relative_information_score: 0.6225, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8378, predictive_accuracy: 0.8344, prior_entropy: 0.9355, recall: 0.8344, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7993, kappa: 0.5498, kb_relative_information_score: 0.5697, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8187, predictive_accuracy: 0.8113, prior_entropy: 0.9355, recall: 0.8113, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8273, kappa: 0.6133, kb_relative_information_score: 0.6225, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8378, predictive_accuracy: 0.8344, prior_entropy: 0.9355, recall: 0.8344, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.6025, kappa: 0.1279, kb_relative_information_score: 0.0942, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6023, predictive_accuracy: 0.6027, prior_entropy: 0.9355, recall: 0.6027, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4552, f_measure: 0.5032, kappa: -0.0896, kb_relative_information_score: -0.1328, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.5032, predictive_accuracy: 0.5032, prior_entropy: 0.9355, recall: 0.5032, relative_absolute_error: 1.0896, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.7049, root_relative_squared_error: 1.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.8301, kappa: 0.6217, kb_relative_information_score: 0.6213, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8324, predictive_accuracy: 0.8339, prior_entropy: 0.9355, recall: 0.8339, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.6025, kappa: 0.1279, kb_relative_information_score: 0.0942, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6023, predictive_accuracy: 0.6027, prior_entropy: 0.9355, recall: 0.6027, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5351, kappa: 0.0406, kb_relative_information_score: 0.2236, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7751, predictive_accuracy: 0.6595, prior_entropy: 0.9355, recall: 0.6595, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.5183, kappa: 0.0118, kb_relative_information_score: 0.2043, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6873, predictive_accuracy: 0.651, prior_entropy: 0.9355, recall: 0.651, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5908, root_relative_squared_error: 1.2373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.6025, kappa: 0.1279, kb_relative_information_score: 0.0942, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6023, predictive_accuracy: 0.6027, prior_entropy: 0.9355, recall: 0.6027, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.5762, kappa: 0.083, kb_relative_information_score: 0.0238, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.5821, predictive_accuracy: 0.5718, prior_entropy: 0.9355, recall: 0.5718, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6544, root_relative_squared_error: 1.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.5762, kappa: 0.083, kb_relative_information_score: 0.0238, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.5821, predictive_accuracy: 0.5718, prior_entropy: 0.9355, recall: 0.5718, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6544, root_relative_squared_error: 1.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5351, kappa: 0.0407, kb_relative_information_score: 0.2237, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7768, predictive_accuracy: 0.6595, prior_entropy: 0.9355, recall: 0.6595, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.2221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5674, kappa: 0.0528, kb_relative_information_score: 0.0123, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.5681, predictive_accuracy: 0.5668, prior_entropy: 0.9355, recall: 0.5668, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.535, kappa: 0.036, kb_relative_information_score: 0.2166, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.688, predictive_accuracy: 0.6564, prior_entropy: 0.9355, recall: 0.6564, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.2276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.7821, kappa: 0.5258, kb_relative_information_score: 0.4998, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7844, predictive_accuracy: 0.7806, prior_entropy: 0.9355, recall: 0.7806, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.5346, kappa: 0.0373, kb_relative_information_score: 0.2194, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7205, predictive_accuracy: 0.6576, prior_entropy: 0.9355, recall: 0.6576, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.5762, kappa: 0.083, kb_relative_information_score: 0.0238, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.5821, predictive_accuracy: 0.5718, prior_entropy: 0.9355, recall: 0.5718, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6544, root_relative_squared_error: 1.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.6025, kappa: 0.1279, kb_relative_information_score: 0.0942, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6023, predictive_accuracy: 0.6027, prior_entropy: 0.9355, recall: 0.6027, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.32,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.535, kappa: 0.0402, kb_relative_information_score: 0.2231, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7686, predictive_accuracy: 0.6593, prior_entropy: 0.9355, recall: 0.6593, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.2225,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.51, kappa: -0.0002, kb_relative_information_score: 0.1981, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.4204, predictive_accuracy: 0.6483, prior_entropy: 0.9355, recall: 0.6483, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5931, root_relative_squared_error: 1.2421,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.5352, kappa: 0.0359, kb_relative_information_score: 0.2162, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6825, predictive_accuracy: 0.6562, prior_entropy: 0.9355, recall: 0.6562, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5863, root_relative_squared_error: 1.228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4584, f_measure: 0.5061, kappa: -0.0833, kb_relative_information_score: -0.1257, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.506, predictive_accuracy: 0.5063, prior_entropy: 0.9355, recall: 0.5063, relative_absolute_error: 1.0828, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.7027, root_relative_squared_error: 1.4716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5102, kappa: 0.0001, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.5962, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1983, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5102, kappa: 0.0002, kb_relative_information_score: 0.1984, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.772, predictive_accuracy: 0.6484, prior_entropy: 0.9355, recall: 0.6484, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5929, root_relative_squared_error: 1.2418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5101, kappa: -0, kb_relative_information_score: 0.1982, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.5376, predictive_accuracy: 0.6483, prior_entropy: 0.9355, recall: 0.6483, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.593, root_relative_squared_error: 1.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5418, kappa: 0.0362, kb_relative_information_score: 0.2057, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.6179, predictive_accuracy: 0.6516, prior_entropy: 0.9355, recall: 0.6516, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5902, root_relative_squared_error: 1.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.535, kappa: 0.0402, kb_relative_information_score: 0.2231, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7686, predictive_accuracy: 0.6593, prior_entropy: 0.9355, recall: 0.6593, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.2225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.8127, kappa: 0.5851, kb_relative_information_score: 0.5783, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8124, predictive_accuracy: 0.815, prior_entropy: 0.9355, recall: 0.815, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9007,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs