SupRB in the context of rule-based machine learning methods: A comparative study

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Michael Heider, Helena Stegherr, Roman Sraj, David Pätzel, Jonathan Wurth, Jörg Hähner

Published: 2023, Last Modified: 10 Feb 2025Appl. Soft Comput. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Detailed the presentation of SupRB, an interpretable machine learning algorithm.•SupRB performs competitively on errors with generally smaller models.•Analysing a rule is easy to do even for non-experts.