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

Jeroen Overschie, Ahmad Alsahaf, George Azzopardi

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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.
Original languageEnglish
Article number4611
Number of pages5
JournalThe Journal of Open Source Software
Issue number79
Publication statusPublished - 2022


  • Feature selection
  • benchmarking

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