CITATION.cff

cff-version: 1.2.0
abstract: >-
  All relevant feature selection means trying to find all features carrying information usable for prediction,  rather than finding a possibly compact subset of features on which some particular model has a minimal error.  This might include redundant predictors.
title: All relevant feature selection
message: >-
  If you use this software, please cite it using the metadata from this file.
type: software
authors:
- given-names: Thomas
  family-names: Bury
  orcid: 'https://orcid.org/0000-0003-1421-4184'
keywords:
- "Feature Selection"
- "All Relevant Feature Selection"
- "Machine Learning"
license: MIT License
url: 'https://github.com/ThomasBury/arfs'
version: 2.3.2
date-released: 2021-12-18