OpenML
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 23 Supervised Classification balance-scale 227 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, kappa: 0.3518, kb_relative_information_score: 0.2956, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, weighted_recall: 0.534, number_of_instances: 206, predictive_accuracy: 0.534, prior_entropy: 1.3777, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, unweighted_recall: 0.5894,

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