OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 56704 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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56704 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.6523, kappa: 0.3046, kb_relative_information_score: 0.3046, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6523, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5897, root_relative_squared_error: 1.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6519, kappa: 0.3038, kb_relative_information_score: 0.3038, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6519, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.59, root_relative_squared_error: 1.18,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.6615, kappa: 0.3231, kb_relative_information_score: 0.3231, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6615, predictive_accuracy: 0.6615, prior_entropy: 1, recall: 0.6615, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1635,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6515, kappa: 0.3031, kb_relative_information_score: 0.3031, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6515, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.1806,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.6523, kappa: 0.3046, kb_relative_information_score: 0.3046, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6523, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5897, root_relative_squared_error: 1.1793,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.4119, kappa: 0.0077, kb_relative_information_score: 0.0077, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5103, predictive_accuracy: 0.5038, prior_entropy: 1, recall: 0.5038, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7044, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.6901, kappa: 0.3862, kb_relative_information_score: 0.3862, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7007, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.554, root_relative_squared_error: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.6253, kappa: 0.2508, kb_relative_information_score: 0.2508, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6254, predictive_accuracy: 0.6254, prior_entropy: 1, recall: 0.6254, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.2241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6515, kappa: 0.3031, kb_relative_information_score: 0.3031, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6515, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5903, root_relative_squared_error: 1.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6519, kappa: 0.3038, kb_relative_information_score: 0.3038, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6519, predictive_accuracy: 0.6519, prior_entropy: 1, recall: 0.6519, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.59, root_relative_squared_error: 1.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.6238, kappa: 0.2477, kb_relative_information_score: 0.2477, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6239, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6133, root_relative_squared_error: 1.2266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.4119, kappa: 0.0077, kb_relative_information_score: 0.0077, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5103, predictive_accuracy: 0.5038, prior_entropy: 1, recall: 0.5038, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7044, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.6238, kappa: 0.2477, kb_relative_information_score: 0.2477, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6239, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6133, root_relative_squared_error: 1.2266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6311, kappa: 0.2623, kb_relative_information_score: 0.2623, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6312, predictive_accuracy: 0.6312, prior_entropy: 1, recall: 0.6312, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6073, root_relative_squared_error: 1.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, f_measure: 0.6234, kappa: 0.2469, kb_relative_information_score: 0.2469, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6235, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6136, root_relative_squared_error: 1.2273,

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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Use one of our APIs to download data from OpenML and upload your results

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