Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21196 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.1253, kappa: 0.0272, kb_relative_information_score: 0.0993, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, weighted_recall: 0.1245, number_of_instances: 2000, precision: 0.1262, predictive_accuracy: 0.1245, prior_entropy: 3.3219, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.2645, unweighted_recall: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.1278, kappa: 0.03, kb_relative_information_score: 0.0918, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.127, number_of_instances: 2000, precision: 0.1287, predictive_accuracy: 0.127, prior_entropy: 3.3219, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.3381, unweighted_recall: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.1289, kappa: 0.0311, kb_relative_information_score: 0.1007, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.13, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3857, root_relative_squared_error: 1.2857, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1256, kappa: 0.0278, kb_relative_information_score: 0.0983, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, weighted_recall: 0.125, number_of_instances: 2000, precision: 0.1263, predictive_accuracy: 0.125, prior_entropy: 3.3219, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3845, root_relative_squared_error: 1.2816, unweighted_recall: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kappa: -0.0794, kb_relative_information_score: 0.0828, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.18, weighted_recall: 0.0285, number_of_instances: 2000, predictive_accuracy: 0.0285, prior_entropy: 3.3219, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.0498, unweighted_recall: 0.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, f_measure: 0.1262, kappa: 0.0283, kb_relative_information_score: 0.1, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, weighted_recall: 0.1255, number_of_instances: 2000, precision: 0.127, predictive_accuracy: 0.1255, prior_entropy: 3.3219, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.2703, unweighted_recall: 0.1255,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.131, kappa: 0.0311, kb_relative_information_score: 0.0881, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.1346, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.392, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.131, kappa: 0.0311, kb_relative_information_score: 0.0881, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.1346, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.392, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.131, kappa: 0.0311, kb_relative_information_score: 0.0881, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.18, weighted_recall: 0.128, number_of_instances: 2000, precision: 0.1346, predictive_accuracy: 0.128, prior_entropy: 3.3219, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.392, unweighted_recall: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.122, kappa: 0.0228, kb_relative_information_score: 0.0989, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.18, weighted_recall: 0.1205, number_of_instances: 2000, precision: 0.1236, predictive_accuracy: 0.1205, prior_entropy: 3.3219, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3667, root_relative_squared_error: 1.2223, unweighted_recall: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,

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