Task
Supervised Classification on numerai28.6

Supervised Classification on numerai28.6

Task 167120 Supervised Classification numerai28.6 3034 runs submitted
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  • OpenML-CC18 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.501, kappa: 0.0106, kb_relative_information_score: 0.0042, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5064, number_of_instances: 96320, precision: 0.5056, predictive_accuracy: 0.5064, prior_entropy: 0.9999, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0184, unweighted_recall: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0425, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.522, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.522, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5047, kappa: 0.0092, kb_relative_information_score: 0.0053, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5047, number_of_instances: 96320, precision: 0.5047, predictive_accuracy: 0.5047, prior_entropy: 0.9999, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.0843, unweighted_recall: 0.5046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0425, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0427, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.522, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5183, kappa: 0.0421, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5219, number_of_instances: 96320, precision: 0.5217, predictive_accuracy: 0.5219, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9986, unweighted_recall: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0425, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.501, kappa: 0.0106, kb_relative_information_score: 0.0042, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5064, number_of_instances: 96320, precision: 0.5056, predictive_accuracy: 0.5064, prior_entropy: 0.9999, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0184, unweighted_recall: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0425, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5212,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5047, kappa: 0.0092, kb_relative_information_score: 0.0053, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5047, number_of_instances: 96320, precision: 0.5047, predictive_accuracy: 0.5047, prior_entropy: 0.9999, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.0843, unweighted_recall: 0.5046,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0425, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0427, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.522, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5183, kappa: 0.0421, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5219, number_of_instances: 96320, precision: 0.5217, predictive_accuracy: 0.5219, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9986, unweighted_recall: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5222, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5222, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5183, kappa: 0.0421, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5219, number_of_instances: 96320, precision: 0.5217, predictive_accuracy: 0.5219, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9986, unweighted_recall: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.5182, kappa: 0.0429, kb_relative_information_score: 0.0041, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5224, number_of_instances: 96320, precision: 0.5222, predictive_accuracy: 0.5224, prior_entropy: 0.9999, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, unweighted_recall: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5185, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.5182, kappa: 0.0429, kb_relative_information_score: 0.0041, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5224, number_of_instances: 96320, precision: 0.5222, predictive_accuracy: 0.5224, prior_entropy: 0.9999, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, unweighted_recall: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5186, kappa: 0.0426, kb_relative_information_score: 0.0043, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4999, weighted_recall: 0.5221, number_of_instances: 96320, precision: 0.5219, predictive_accuracy: 0.5221, prior_entropy: 0.9999, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, unweighted_recall: 0.5213,

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