Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 130846 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7571, kappa: 0.4582, kb_relative_information_score: 0.3091, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7617, number_of_instances: 768, precision: 0.7564, predictive_accuracy: 0.7617, prior_entropy: 0.9331, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8399, unweighted_recall: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7227, kappa: 0.3872, kb_relative_information_score: 0.34, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.7217, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9931, unweighted_recall: 0.6919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 0.3784, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7409, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9331, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, unweighted_recall: 0.7058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7533, kappa: 0.4484, kb_relative_information_score: 0.2857, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8471, unweighted_recall: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7533, kappa: 0.4484, kb_relative_information_score: 0.2857, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8471, unweighted_recall: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7533, kappa: 0.4484, kb_relative_information_score: 0.2857, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8471, unweighted_recall: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7533, kappa: 0.4484, kb_relative_information_score: 0.2857, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8471, unweighted_recall: 0.7154,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7533, kappa: 0.4484, kb_relative_information_score: 0.2857, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7531, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8471, unweighted_recall: 0.7154,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.77, kappa: 0.4881, kb_relative_information_score: 0.3662, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7734, number_of_instances: 768, precision: 0.7691, predictive_accuracy: 0.7734, prior_entropy: 0.9331, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, unweighted_recall: 0.7377,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: -0.1398, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7604, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9331, relative_absolute_error: 1.0807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0315, unweighted_recall: 0.7242,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7353, kappa: 0.4194, kb_relative_information_score: 0.3916, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7344, number_of_instances: 768, precision: 0.7363, predictive_accuracy: 0.7344, prior_entropy: 0.9331, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0813, unweighted_recall: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7353, kappa: 0.4194, kb_relative_information_score: 0.3916, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7344, number_of_instances: 768, precision: 0.7363, predictive_accuracy: 0.7344, prior_entropy: 0.9331, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0813, unweighted_recall: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7353, kappa: 0.4194, kb_relative_information_score: 0.3916, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7344, number_of_instances: 768, precision: 0.7363, predictive_accuracy: 0.7344, prior_entropy: 0.9331, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0813, unweighted_recall: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7353, kappa: 0.4194, kb_relative_information_score: 0.3916, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7344, number_of_instances: 768, precision: 0.7363, predictive_accuracy: 0.7344, prior_entropy: 0.9331, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0813, unweighted_recall: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7353, kappa: 0.4194, kb_relative_information_score: 0.3916, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7344, number_of_instances: 768, precision: 0.7363, predictive_accuracy: 0.7344, prior_entropy: 0.9331, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0813, unweighted_recall: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7713, kappa: 0.4871, kb_relative_information_score: 0.3302, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7786, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, unweighted_recall: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7214, kappa: 0.3867, kb_relative_information_score: 0.3329, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7214, number_of_instances: 768, precision: 0.7214, predictive_accuracy: 0.7214, prior_entropy: 0.9331, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0021, unweighted_recall: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7311, kappa: 0.4066, kb_relative_information_score: 0.3428, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7304, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9792, unweighted_recall: 0.7022,

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