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: 0.9202, f_measure: 0.8532, kappa: 0.8369, kb_relative_information_score: 0.8459, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8532, predictive_accuracy: 0.8533, prior_entropy: 3.3198, recall: 0.8533, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9813, kappa: 0.9792, kb_relative_information_score: 0.9816, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 3.3198, recall: 0.9813, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1854,
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: 0.9519, 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: 0.9756, 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: 0.9756, 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: 0.9733, 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: 0.9733, 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: 0.9733, f_measure: 0.9519, kappa: 0.9465, 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: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, 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: 0.9467, 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: 0.9756, f_measure: 0.9559, kappa: 0.9511, kb_relative_information_score: 0.9537, 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: 0.3128,
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: 0.9519, 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: 0.9733, 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: 0.9519, prior_entropy: 3.3198, recall: 0.9519, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3271,
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: 0.9734, 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: 0.9733, 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: 0.9519, 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: 0.9755, f_measure: 0.9558, kappa: 0.9509, kb_relative_information_score: 0.9536, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 3.3198, recall: 0.9559, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9522, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9522, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9468, 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: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9468, 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: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9468, 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: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9521, kappa: 0.9468, 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: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3263,
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: 0.9519, prior_entropy: 3.3198, recall: 0.9519, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3271,
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: 0.9519, prior_entropy: 3.3198, recall: 0.9519, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3271,
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: 0.9519, prior_entropy: 3.3198, recall: 0.9519, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3271,
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: 0.9519, prior_entropy: 3.3198, recall: 0.9519, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3271,
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: 0.9734, 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: 0.9734, 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: 0.9734, 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: 0.9733, 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: 0.9733, 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: 0.9733, 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: 0.9733, 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: 0.9733, 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: 0.9733, 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: 0.9733, 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: 0.9733, 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: 0.9734, f_measure: 0.9521, 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: 0.9467, 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: 0.9467, 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: 0.9756, 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: 0.9756, 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,
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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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3198, recall: 0.978, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3198, recall: 0.978, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1925,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3198, recall: 0.978, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3198, recall: 0.978, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1925,
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: 0.9996, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3198, recall: 0.978, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 0.9757, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3198, recall: 0.978, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0577, root_relative_squared_error: 0.1925,
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: 0.9734, f_measure: 0.9521, kappa: 0.9468, 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: 0.0532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.3263,

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