Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59564 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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59564 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.555, kappa: 0.11, kb_relative_information_score: 0.0901, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.5, weighted_recall: 0.555, number_of_instances: 2600, precision: 0.555, predictive_accuracy: 0.555, prior_entropy: 1, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5992, root_relative_squared_error: 1.1984, unweighted_recall: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0735, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0888, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0716, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0735, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5669, kappa: 0.1338, kb_relative_information_score: 0.0897, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, weighted_recall: 0.5669, number_of_instances: 2600, precision: 0.5669, predictive_accuracy: 0.5669, prior_entropy: 1, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.0732, unweighted_recall: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 0.0888, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5665, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0735, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.555, kappa: 0.11, kb_relative_information_score: 0.0901, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.5, weighted_recall: 0.555, number_of_instances: 2600, precision: 0.555, predictive_accuracy: 0.555, prior_entropy: 1, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5992, root_relative_squared_error: 1.1984, unweighted_recall: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, weighted_recall: 0.5665, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0734, unweighted_recall: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0735, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.5712, kappa: 0.1423, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, weighted_recall: 0.5712, number_of_instances: 2600, precision: 0.5712, predictive_accuracy: 0.5712, prior_entropy: 1, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0292, unweighted_recall: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5638, kappa: 0.1277, kb_relative_information_score: 0.086, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.5, weighted_recall: 0.5638, number_of_instances: 2600, precision: 0.5638, predictive_accuracy: 0.5638, prior_entropy: 1, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0644, unweighted_recall: 0.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 0.0868, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.5, weighted_recall: 0.5619, number_of_instances: 2600, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0669, unweighted_recall: 0.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0735, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5842, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0888, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0716, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5433, kappa: 0.0869, kb_relative_information_score: 0.0876, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.5, weighted_recall: 0.5435, number_of_instances: 2600, precision: 0.5435, predictive_accuracy: 0.5435, prior_entropy: 1, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6082, root_relative_squared_error: 1.2163, unweighted_recall: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0735, unweighted_recall: 0.5662,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 0.0888, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5665, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5754, kappa: 0.1508, kb_relative_information_score: 0.0577, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, weighted_recall: 0.5754, number_of_instances: 2600, precision: 0.5754, predictive_accuracy: 0.5754, prior_entropy: 1, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.49, root_relative_squared_error: 0.98, unweighted_recall: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5669, kappa: 0.1338, kb_relative_information_score: 0.0897, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, weighted_recall: 0.5669, number_of_instances: 2600, precision: 0.5669, predictive_accuracy: 0.5669, prior_entropy: 1, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.0732, unweighted_recall: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.5712, kappa: 0.1423, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, weighted_recall: 0.5712, number_of_instances: 2600, precision: 0.5712, predictive_accuracy: 0.5712, prior_entropy: 1, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0292, unweighted_recall: 0.5712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.5712, kappa: 0.1423, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, weighted_recall: 0.5712, number_of_instances: 2600, precision: 0.5712, predictive_accuracy: 0.5712, prior_entropy: 1, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0292, unweighted_recall: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5638, kappa: 0.1277, kb_relative_information_score: 0.086, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.5, weighted_recall: 0.5638, number_of_instances: 2600, precision: 0.5638, predictive_accuracy: 0.5638, prior_entropy: 1, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0644, unweighted_recall: 0.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 0.0868, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.5, weighted_recall: 0.5619, number_of_instances: 2600, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0669, unweighted_recall: 0.5619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.5712, kappa: 0.1423, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, weighted_recall: 0.5712, number_of_instances: 2600, precision: 0.5712, predictive_accuracy: 0.5712, prior_entropy: 1, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0292, unweighted_recall: 0.5712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 0.0888, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5665, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5754, kappa: 0.1508, kb_relative_information_score: 0.0577, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, weighted_recall: 0.5754, number_of_instances: 2600, precision: 0.5754, predictive_accuracy: 0.5754, prior_entropy: 1, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.49, root_relative_squared_error: 0.98, unweighted_recall: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5669, kappa: 0.1338, kb_relative_information_score: 0.0897, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, weighted_recall: 0.5669, number_of_instances: 2600, precision: 0.5669, predictive_accuracy: 0.5669, prior_entropy: 1, relative_absolute_error: 0.9178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.0732, unweighted_recall: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0735, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5662, kappa: 0.1323, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.5, weighted_recall: 0.5662, number_of_instances: 2600, precision: 0.5662, predictive_accuracy: 0.5662, prior_entropy: 1, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0713, unweighted_recall: 0.5662,

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