OpenML
Supervised Classification on har

Supervised Classification on har

Task 14970 Supervised Classification har 16704 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_99
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16704 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9809, kappa: 0.977, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9809, number_of_instances: 10299, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 2.5759, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1977, unweighted_recall: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9721, kappa: 0.9665, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9721, number_of_instances: 10299, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 2.5759, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2535, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9819, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1716, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9819, kb_relative_information_score: 0.9778, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.1739, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.982, kb_relative_information_score: 0.9828, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2771, weighted_recall: 0.985, number_of_instances: 10299, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 2.5759, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.1763, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9819, kb_relative_information_score: 0.9817, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.985, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.1716, unweighted_recall: 0.9859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9809, kappa: 0.977, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9809, number_of_instances: 10299, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 2.5759, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1977, unweighted_recall: 0.9815,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9721, kappa: 0.9665, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9721, number_of_instances: 10299, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 2.5759, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2535, unweighted_recall: 0.9733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9721, kappa: 0.9665, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9721, number_of_instances: 10299, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 2.5759, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2535, unweighted_recall: 0.9733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9812, kappa: 0.9773, kb_relative_information_score: 0.9575, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9812, number_of_instances: 10299, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 2.5759, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.075, root_relative_squared_error: 0.2016, unweighted_recall: 0.9822,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9795, kappa: 0.9752, kb_relative_information_score: 0.9787, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9794, number_of_instances: 10299, precision: 0.9796, predictive_accuracy: 0.9794, prior_entropy: 2.5759, relative_absolute_error: 0.0269, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.2025, unweighted_recall: 0.98,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9819, kb_relative_information_score: 0.9778, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.1739, unweighted_recall: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9809, kappa: 0.977, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9809, number_of_instances: 10299, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 2.5759, relative_absolute_error: 0.0265, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1977, unweighted_recall: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9501, kappa: 0.9402, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9503, number_of_instances: 10299, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 2.5759, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3741, unweighted_recall: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9849, kappa: 0.9818, kb_relative_information_score: 0.9738, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9849, number_of_instances: 10299, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 2.5759, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.066, root_relative_squared_error: 0.1773, unweighted_recall: 0.9858,

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