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

DOI

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.

Jeroen Overschie was responsible for the implementation. Ahmad Alsahaf and George Azzopardi were the supervisors of this project. This software has been published under GNU license 3.0: https://www.gnu.org/licenses/gpl-3.0.en.html

Identifier
DOI https://doi.org/10.34894/KDEPR0
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/KDEPR0
Provenance
Creator Overschie, Jeroen ORCID logo; Alsahaf, Ahmad ORCID logo; Azzopardi, George ORCID logo
Publisher DataverseNL
Contributor Azzopardi, George
Publication Year 2022
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Azzopardi, George (University of Groningen)
Representation
Resource Type Program source code; Dataset
Format application/x-gzip
Size 1527168
Version 1.0
Discipline Other