Task
Supervised Classification on ML2017-challenge-1

Supervised Classification on ML2017-challenge-1

Task 146543 Supervised Classification ML2017-challenge-1 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4966, kappa: -0.0086, kb_relative_information_score: -31.1781, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4967, predictive_accuracy: 0.4966, prior_entropy: 0.9986, recall: 0.4966, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7095, root_relative_squared_error: 1.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.4991, kappa: -0.0038, kb_relative_information_score: -15.1325, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4991, predictive_accuracy: 0.4991, prior_entropy: 0.9986, recall: 0.4991, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 2848.044, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9786, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 2848.044, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9786, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 2848.044, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9786, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4483, f_measure: 0.4494, kappa: -0.1034, kb_relative_information_score: -334.0389, mean_absolute_error: 0.5507, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.4494, predictive_accuracy: 0.4493, prior_entropy: 0.9986, recall: 0.4493, relative_absolute_error: 1.1036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7421, root_relative_squared_error: 1.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 2848.0487, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9786, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 2848.0487, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9786, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2727,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 2848.044, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9786, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 2848.044, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9786, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2727,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9427, kappa: 0.8852, kb_relative_information_score: 2537.4116, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9428, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4294,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9587, kappa: 0.9173, kb_relative_information_score: 2691.1856, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9588, predictive_accuracy: 0.9587, prior_entropy: 0.9986, recall: 0.9587, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3577,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9423, kappa: 0.8844, kb_relative_information_score: 2826.9454, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9432, predictive_accuracy: 0.9424, prior_entropy: 0.9986, recall: 0.9424, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4804,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 1737.4269, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 1737.4269, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 1737.4269, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 1737.4269, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 1736.3264, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 2887.4051, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.9986, recall: 0.9856, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9878, kappa: 0.9755, kb_relative_information_score: 2907.5734, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 0.9986, recall: 0.9878, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.123, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9884, kappa: 0.9768, kb_relative_information_score: 2924.7973, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 0.9986, recall: 0.9884, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 2875.6824, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 2878.8073, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.9986, recall: 0.9856, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2568,

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