OpenML
Supervised Classification on splice

Supervised Classification on splice

Task 45 Supervised Classification splice 20618 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_70 study_98 study_99 under100k under1m
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20618 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9361, kappa: 0.8962, kb_relative_information_score: 0.8824, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9361, number_of_instances: 3190, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 1.4802, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4199, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9361, kappa: 0.8962, kb_relative_information_score: 0.8824, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9361, number_of_instances: 3190, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 1.4802, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4199, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9361, kappa: 0.8962, kb_relative_information_score: 0.8824, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9361, number_of_instances: 3190, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 1.4802, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4199, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9361, kappa: 0.8962, kb_relative_information_score: 0.8824, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9361, number_of_instances: 3190, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 1.4802, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4199, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.8025, kappa: 0.6662, kb_relative_information_score: 0.3458, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4101, weighted_recall: 0.8116, number_of_instances: 3190, precision: 0.8555, predictive_accuracy: 0.8116, prior_entropy: 1.4802, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7805, unweighted_recall: 0.7392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9317, kappa: 0.889, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9317, number_of_instances: 3190, precision: 0.9318, predictive_accuracy: 0.9317, prior_entropy: 1.4802, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4388, unweighted_recall: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9481, kappa: 0.9156, kb_relative_information_score: 0.8928, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, weighted_recall: 0.948, number_of_instances: 3190, precision: 0.9482, predictive_accuracy: 0.948, prior_entropy: 1.4802, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.3861, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9591, kappa: 0.9335, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9589, number_of_instances: 3190, precision: 0.9594, predictive_accuracy: 0.9589, prior_entropy: 1.4802, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3661, unweighted_recall: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9591, kappa: 0.9335, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9589, number_of_instances: 3190, precision: 0.9594, predictive_accuracy: 0.9589, prior_entropy: 1.4802, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3661, unweighted_recall: 0.9573,

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