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: 0.9063, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9072, kappa: 0.8969, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9071, predictive_accuracy: 0.9072, prior_entropy: 3.3198, recall: 0.9072, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9072, kappa: 0.8969, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9071, predictive_accuracy: 0.9072, prior_entropy: 3.3198, recall: 0.9072, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9072, kappa: 0.8969, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9071, predictive_accuracy: 0.9072, prior_entropy: 3.3198, recall: 0.9072, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9072, kappa: 0.8969, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9071, predictive_accuracy: 0.9072, prior_entropy: 3.3198, recall: 0.9072, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9072, kappa: 0.8969, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9071, predictive_accuracy: 0.9072, prior_entropy: 3.3198, recall: 0.9072, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9072, kappa: 0.8969, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9071, predictive_accuracy: 0.9072, prior_entropy: 3.3198, recall: 0.9072, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9524, kappa: 0.9471, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 3.3198, recall: 0.9524, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9524, kappa: 0.9471, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 3.3198, recall: 0.9524, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9524, kappa: 0.9471, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 3.3198, recall: 0.9524, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9524, kappa: 0.9471, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 3.3198, recall: 0.9524, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9524, kappa: 0.9471, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 3.3198, recall: 0.9524, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9524, kappa: 0.9471, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 3.3198, recall: 0.9524, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9448, kappa: 0.9387, kb_relative_information_score: 0.9344, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 3.3198, recall: 0.9449, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9448, kappa: 0.9387, kb_relative_information_score: 0.9344, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 3.3198, recall: 0.9449, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9448, kappa: 0.9387, kb_relative_information_score: 0.9344, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 3.3198, recall: 0.9449, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9448, kappa: 0.9387, kb_relative_information_score: 0.9344, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 3.3198, recall: 0.9449, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9448, kappa: 0.9387, kb_relative_information_score: 0.9344, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 3.3198, recall: 0.9449, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9448, kappa: 0.9387, kb_relative_information_score: 0.9344, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 3.3198, recall: 0.9449, relative_absolute_error: 0.0945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9819, kb_relative_information_score: 0.984, mean_absolute_error: 0.0036, 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: 0.0203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9819, kb_relative_information_score: 0.984, mean_absolute_error: 0.0036, 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: 0.0203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9819, kb_relative_information_score: 0.984, mean_absolute_error: 0.0036, 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: 0.0203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9819, kb_relative_information_score: 0.984, mean_absolute_error: 0.0036, 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: 0.0203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9819, kb_relative_information_score: 0.984, mean_absolute_error: 0.0036, 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: 0.0203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9837, kappa: 0.9819, kb_relative_information_score: 0.984, mean_absolute_error: 0.0036, 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: 0.0203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9422, kappa: 0.9359, kb_relative_information_score: 0.9374, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9422, predictive_accuracy: 0.9423, prior_entropy: 3.3198, recall: 0.9423, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9422, kappa: 0.9359, kb_relative_information_score: 0.9374, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9422, predictive_accuracy: 0.9423, prior_entropy: 3.3198, recall: 0.9423, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9422, kappa: 0.9359, kb_relative_information_score: 0.9374, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9422, predictive_accuracy: 0.9423, prior_entropy: 3.3198, recall: 0.9423, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9422, kappa: 0.9359, kb_relative_information_score: 0.9374, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9422, predictive_accuracy: 0.9423, prior_entropy: 3.3198, recall: 0.9423, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9422, kappa: 0.9359, kb_relative_information_score: 0.9374, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9422, predictive_accuracy: 0.9423, prior_entropy: 3.3198, recall: 0.9423, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9422, kappa: 0.9359, kb_relative_information_score: 0.9374, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9422, predictive_accuracy: 0.9423, prior_entropy: 3.3198, recall: 0.9423, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9752, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 3.3198, recall: 0.9777, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9752, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 3.3198, recall: 0.9777, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9752, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 3.3198, recall: 0.9777, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9752, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 3.3198, recall: 0.9777, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9752, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 3.3198, recall: 0.9777, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9752, kb_relative_information_score: 0.9747, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9777, predictive_accuracy: 0.9777, prior_entropy: 3.3198, recall: 0.9777, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9631, kappa: 0.9591, kb_relative_information_score: 0.9483, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3198, recall: 0.9632, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9631, kappa: 0.9591, kb_relative_information_score: 0.9483, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3198, recall: 0.9632, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9631, kappa: 0.9591, kb_relative_information_score: 0.9483, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3198, recall: 0.9632, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9631, kappa: 0.9591, kb_relative_information_score: 0.9483, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3198, recall: 0.9632, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9631, kappa: 0.9591, kb_relative_information_score: 0.9483, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3198, recall: 0.9632, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9631, kappa: 0.9591, kb_relative_information_score: 0.9483, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 3.3198, recall: 0.9632, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9826, kappa: 0.9807, kb_relative_information_score: 0.9826, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 3.3198, recall: 0.9826, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1765,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9702, kappa: 0.9668, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 3.3198, recall: 0.9702, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2297,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8719, kappa: 0.858, kb_relative_information_score: 0.7694, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8723, prior_entropy: 3.3198, recall: 0.8723, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8719, kappa: 0.858, kb_relative_information_score: 0.7694, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8723, prior_entropy: 3.3198, recall: 0.8723, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8719, kappa: 0.858, kb_relative_information_score: 0.7694, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8723, prior_entropy: 3.3198, recall: 0.8723, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8719, kappa: 0.858, kb_relative_information_score: 0.7694, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8723, prior_entropy: 3.3198, recall: 0.8723, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5008,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9795, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3198, recall: 0.9816, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9795, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3198, recall: 0.9816, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9795, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3198, recall: 0.9816, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1772,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9816, kappa: 0.9795, kb_relative_information_score: 0.9815, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3198, recall: 0.9816, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1772,
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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: 0.0981, root_relative_squared_error: 0.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 3.3198, recall: 0.9521, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9468, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9523, predictive_accuracy: 0.9522, prior_entropy: 3.3198, recall: 0.9522, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.3261,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9518, kappa: 0.9464, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3198, recall: 0.9518, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3273,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9518, kappa: 0.9465, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3198, recall: 0.9518, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9518, kappa: 0.9465, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.952, predictive_accuracy: 0.9518, prior_entropy: 3.3198, recall: 0.9518, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3272,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.952, kappa: 0.9466, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 3.3198, recall: 0.952, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9319, kappa: 0.9244, kb_relative_information_score: 0.9025, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9319, predictive_accuracy: 0.932, prior_entropy: 3.3198, recall: 0.932, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9555, kappa: 0.9506, kb_relative_information_score: 0.9384, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 3.3198, recall: 0.9555, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9538, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 3.3198, recall: 0.956, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9492, kappa: 0.9436, kb_relative_information_score: 0.9304, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 3.3198, recall: 0.9492, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.3002,
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: 0.9521, predictive_accuracy: 0.952, prior_entropy: 3.3198, recall: 0.952, 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: 0.9996, f_measure: 0.9794, kappa: 0.9771, kb_relative_information_score: 0.9778, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 3.3198, recall: 0.9794, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.956, kappa: 0.9512, kb_relative_information_score: 0.9538, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 3.3198, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9784, kappa: 0.9759, kb_relative_information_score: 0.9767, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 3.3198, recall: 0.9784, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9518, kappa: 0.9465, kb_relative_information_score: 0.9494, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 3.3198, recall: 0.9518, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 0.982, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 3.3198, recall: 0.9818, 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: 0.9734, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 0.9496, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 3.3198, recall: 0.952, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9561, kappa: 0.9512, kb_relative_information_score: 0.9539, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 3.3198, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3123,

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

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

OpenML APIs