Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 26772 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 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: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8166, kappa: 0.7983, kb_relative_information_score: 0.7953, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.8185, number_of_instances: 2000, precision: 0.8164, predictive_accuracy: 0.8185, prior_entropy: 3.3219, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5403, unweighted_recall: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8148, kappa: 0.7956, kb_relative_information_score: 0.7839, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, weighted_recall: 0.816, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.816, prior_entropy: 3.3219, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5411, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8153, kappa: 0.7961, kb_relative_information_score: 0.8099, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, weighted_recall: 0.8165, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8165, prior_entropy: 3.3219, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5508, unweighted_recall: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8246, kappa: 0.8056, kb_relative_information_score: 0.8118, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.817, kappa: 0.7972, kb_relative_information_score: 0.8112, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, weighted_recall: 0.8175, number_of_instances: 2000, precision: 0.817, predictive_accuracy: 0.8175, prior_entropy: 3.3219, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5497, unweighted_recall: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7564, kappa: 0.7367, kb_relative_information_score: 0.4143, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.18, weighted_recall: 0.763, number_of_instances: 2000, precision: 0.7579, predictive_accuracy: 0.763, prior_entropy: 3.3219, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.821, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8007, kappa: 0.7811, kb_relative_information_score: 0.6802, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.18, weighted_recall: 0.803, number_of_instances: 2000, precision: 0.8004, predictive_accuracy: 0.803, prior_entropy: 3.3219, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6174, unweighted_recall: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.7939, kappa: 0.7711, kb_relative_information_score: 0.7943, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, weighted_recall: 0.794, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.794, prior_entropy: 3.3219, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5908, unweighted_recall: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7564, kappa: 0.7367, kb_relative_information_score: 0.4143, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.18, weighted_recall: 0.763, number_of_instances: 2000, precision: 0.7579, predictive_accuracy: 0.763, prior_entropy: 3.3219, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.821, unweighted_recall: 0.763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.7928, kappa: 0.7694, kb_relative_information_score: 0.7952, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, weighted_recall: 0.7925, number_of_instances: 2000, precision: 0.7933, predictive_accuracy: 0.7925, prior_entropy: 3.3219, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5817, unweighted_recall: 0.7925,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8037, kappa: 0.785, kb_relative_information_score: 0.7414, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, weighted_recall: 0.8065, number_of_instances: 2000, precision: 0.8029, predictive_accuracy: 0.8065, prior_entropy: 3.3219, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686, unweighted_recall: 0.8065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.817, kappa: 0.7972, kb_relative_information_score: 0.8112, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, weighted_recall: 0.8175, number_of_instances: 2000, precision: 0.817, predictive_accuracy: 0.8175, prior_entropy: 3.3219, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5497, unweighted_recall: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8037, kappa: 0.785, kb_relative_information_score: 0.7414, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, weighted_recall: 0.8065, number_of_instances: 2000, precision: 0.8029, predictive_accuracy: 0.8065, prior_entropy: 3.3219, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686, unweighted_recall: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7564, kappa: 0.7367, kb_relative_information_score: 0.4143, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.18, weighted_recall: 0.763, number_of_instances: 2000, precision: 0.7579, predictive_accuracy: 0.763, prior_entropy: 3.3219, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.821, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8093, kappa: 0.7878, kb_relative_information_score: 0.8047, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, weighted_recall: 0.809, number_of_instances: 2000, precision: 0.8099, predictive_accuracy: 0.809, prior_entropy: 3.3219, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5655, unweighted_recall: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7564, kappa: 0.7367, kb_relative_information_score: 0.4143, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.18, weighted_recall: 0.763, number_of_instances: 2000, precision: 0.7579, predictive_accuracy: 0.763, prior_entropy: 3.3219, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.821, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,

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