Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 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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20384 Runs

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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: 0.8753, 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: 0.8753, 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: 0.8774, 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: 0.8774, 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: 0.8753, 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: 0.8753, 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: 0.8697, f_measure: 0.6672, kappa: 0.4962, kb_relative_information_score: 0.4476, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6785, number_of_instances: 5456, precision: 0.6821, predictive_accuracy: 0.6785, prior_entropy: 1.7146, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7991, unweighted_recall: 0.5752,
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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,
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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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.675, kappa: 0.5074, kb_relative_information_score: 0.4879, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6783, number_of_instances: 5456, precision: 0.6749, predictive_accuracy: 0.6783, prior_entropy: 1.7146, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.8031, unweighted_recall: 0.6188,
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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: 0.8379, 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: 0.8753, 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: 0.8379, 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: 0.8697, f_measure: 0.6672, kappa: 0.4962, kb_relative_information_score: 0.4476, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3312, weighted_recall: 0.6785, number_of_instances: 5456, precision: 0.6821, predictive_accuracy: 0.6785, prior_entropy: 1.7146, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7991, unweighted_recall: 0.5752,
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,

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