OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 19920 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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19920 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.6813, kappa: 0.515, kb_relative_information_score: 0.4736, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6886, number_of_instances: 5456, precision: 0.6924, predictive_accuracy: 0.6886, prior_entropy: 1.7146, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7871, unweighted_recall: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.6658, kappa: 0.4945, kb_relative_information_score: 0.4484, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6778, number_of_instances: 5456, precision: 0.6817, predictive_accuracy: 0.6778, prior_entropy: 1.7146, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8004, unweighted_recall: 0.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.6658, kappa: 0.4945, kb_relative_information_score: 0.4484, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6778, number_of_instances: 5456, precision: 0.6817, predictive_accuracy: 0.6778, prior_entropy: 1.7146, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8004, unweighted_recall: 0.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.6808, kappa: 0.5131, kb_relative_information_score: 0.4749, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6879, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6879, prior_entropy: 1.7146, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7972, unweighted_recall: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.6861, kappa: 0.5216, kb_relative_information_score: 0.4808, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6923, number_of_instances: 5456, precision: 0.6966, predictive_accuracy: 0.6923, prior_entropy: 1.7146, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7833, unweighted_recall: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.6868, kappa: 0.5226, kb_relative_information_score: 0.4813, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6928, number_of_instances: 5456, precision: 0.6972, predictive_accuracy: 0.6928, prior_entropy: 1.7146, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.6813, kappa: 0.515, kb_relative_information_score: 0.4736, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6886, number_of_instances: 5456, precision: 0.6924, predictive_accuracy: 0.6886, prior_entropy: 1.7146, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.7871, unweighted_recall: 0.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.6856, kappa: 0.521, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6919, number_of_instances: 5456, precision: 0.6961, predictive_accuracy: 0.6919, prior_entropy: 1.7146, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.7836, unweighted_recall: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.5604, kappa: 0.3776, kb_relative_information_score: 0.256, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6197, number_of_instances: 5456, precision: 0.6551, predictive_accuracy: 0.6197, prior_entropy: 1.7146, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8793, unweighted_recall: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.687, kappa: 0.5229, kb_relative_information_score: 0.4814, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3312, weighted_recall: 0.693, number_of_instances: 5456, precision: 0.6974, predictive_accuracy: 0.693, prior_entropy: 1.7146, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.7831, unweighted_recall: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6794, kappa: 0.5125, kb_relative_information_score: 0.4711, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6871, number_of_instances: 5456, precision: 0.6906, predictive_accuracy: 0.6871, prior_entropy: 1.7146, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.788, unweighted_recall: 0.5961,

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