Treffer: fseval : a benchmarking framework for feature selection and feature ranking algorithms
Title:
fseval : a benchmarking framework for feature selection and feature ranking algorithms
Publisher Information:
Open Journals
Publication Year:
2022
Collection:
University of Malta: OAR@UM / L-Università ta' Malta
Subject Terms:
Document Type:
Fachzeitschrift
article in journal/newspaper
Language:
English
Relation:
Overschie, J. G., Alsahaf, A., & Azzopardi, G. (2022). fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms. Journal of Open Source Software, 7(79), 4611.; https://www.um.edu.mt/library/oar/handle/123456789/112950
Rights:
info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Accession Number:
edsbas.DC6C64A1
Database:
BASE
Weitere Informationen
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. ; peer-reviewed