Papers › fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms

fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms

23 Nov 2022Journal of Open Source Software 2022 11archive 2025-07-28

Jeroen G. S. Overschie, Ahmad Alsahaf, George Azzopardi

The fseval Python package allows benchmarking Feature Selection and Feature Ranking algorithms on a large scale, and facilitates the comparison of multiple algorithms in a systematic way. In particular, fseval enables users to run experiments in parallel and distributed over multiple machines, and export the results to an SQL database. The execution of an experiment can be fully determined by a configuration file, which means the experiment results can be reproduced easily, given only the configuration file. fseval has high test coverage, continuous integration, and rich documentation. The package is open source and can be installed through PyPI. The source code is available at: https://github.com/dunnkers/fseval.

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Automated Feature EngineeringBenchmarkingDistributed ComputingFeature EngineeringFeature Importancefeature selection

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