OpenML
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13143 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
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13143 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9061, kappa: 0.8958, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9062, predictive_accuracy: 0.9062, prior_entropy: 3.3198, recall: 0.9062, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3198, recall: 0.9824, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3198, recall: 0.9824, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3198, recall: 0.9824, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3198, recall: 0.9824, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9804, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3198, recall: 0.9824, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9818, kb_relative_information_score: 0.9839, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 3.3198, recall: 0.9837, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9818, kb_relative_information_score: 0.9839, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 3.3198, recall: 0.9837, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9818, kb_relative_information_score: 0.9839, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 3.3198, recall: 0.9837, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9818, kb_relative_information_score: 0.9839, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 3.3198, recall: 0.9837, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9818, kb_relative_information_score: 0.9839, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 3.3198, recall: 0.9837, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9818, kb_relative_information_score: 0.9839, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 3.3198, recall: 0.9837, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 3.3198, recall: 0.9832, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9768, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9768, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9768, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9768, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9768, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9792, kappa: 0.9768, kb_relative_information_score: 0.9774, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 3.3198, recall: 0.9792, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9807, kappa: 0.9786, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.3198, recall: 0.9807, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9807, kappa: 0.9786, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.3198, recall: 0.9807, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9807, kappa: 0.9786, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.3198, recall: 0.9807, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9807, kappa: 0.9786, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.3198, recall: 0.9807, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9807, kappa: 0.9786, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.3198, recall: 0.9807, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9807, kappa: 0.9786, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.3198, recall: 0.9807, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9304, kappa: 0.9227, kb_relative_information_score: 0.9215, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9304, predictive_accuracy: 0.9305, prior_entropy: 3.3198, recall: 0.9305, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9304, kappa: 0.9227, kb_relative_information_score: 0.9215, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9304, predictive_accuracy: 0.9305, prior_entropy: 3.3198, recall: 0.9305, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9304, kappa: 0.9227, kb_relative_information_score: 0.9215, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9304, predictive_accuracy: 0.9305, prior_entropy: 3.3198, recall: 0.9305, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9806, kappa: 0.9785, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 3.3198, recall: 0.9806, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9806, kappa: 0.9785, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 3.3198, recall: 0.9806, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9806, kappa: 0.9785, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 3.3198, recall: 0.9806, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9519, kappa: 0.9466, kb_relative_information_score: 0.9495, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.952, predictive_accuracy: 0.9519, prior_entropy: 3.3198, recall: 0.9519, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9805, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 3.3198, recall: 0.9825, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.054, root_relative_squared_error: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9805, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 3.3198, recall: 0.9825, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.054, root_relative_squared_error: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9805, kb_relative_information_score: 0.9827, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 3.3198, recall: 0.9825, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.054, root_relative_squared_error: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9473, kappa: 0.9415, kb_relative_information_score: 0.9341, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 3.3198, recall: 0.9474, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.3084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9473, kappa: 0.9415, kb_relative_information_score: 0.9341, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 3.3198, recall: 0.9474, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.3084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9473, kappa: 0.9415, kb_relative_information_score: 0.9341, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 3.3198, recall: 0.9474, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.3084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9819, kappa: 0.9799, kb_relative_information_score: 0.982, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 3.3198, recall: 0.9819, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9819, kappa: 0.9799, kb_relative_information_score: 0.982, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 3.3198, recall: 0.9819, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9819, kappa: 0.9799, kb_relative_information_score: 0.982, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 3.3198, recall: 0.9819, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1774,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9367, kappa: 0.9298, kb_relative_information_score: 0.9228, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9367, predictive_accuracy: 0.9368, prior_entropy: 3.3198, recall: 0.9368, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9367, kappa: 0.9298, kb_relative_information_score: 0.9228, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9367, predictive_accuracy: 0.9368, prior_entropy: 3.3198, recall: 0.9368, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9319, kappa: 0.9243, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 3.3198, recall: 0.9319, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9319, kappa: 0.9243, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 3.3198, recall: 0.9319, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9319, kappa: 0.9243, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 3.3198, recall: 0.9319, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9319, kappa: 0.9243, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 3.3198, recall: 0.9319, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9319, kappa: 0.9243, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 3.3198, recall: 0.9319, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9319, kappa: 0.9243, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9319, predictive_accuracy: 0.9319, prior_entropy: 3.3198, recall: 0.9319, relative_absolute_error: 0.0759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9061, kappa: 0.8958, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9063, predictive_accuracy: 0.9063, prior_entropy: 3.3198, recall: 0.9063, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9061, kappa: 0.8958, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9063, predictive_accuracy: 0.9063, prior_entropy: 3.3198, recall: 0.9063, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9061, kappa: 0.8958, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9063, predictive_accuracy: 0.9063, prior_entropy: 3.3198, recall: 0.9063, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.4108,

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