A tf-idf-style post-processing of rule-based explanations produces factor relevance scores that users rate as more interpretable and useful than raw rule output in a small study.
Explainable ai (xai): A systematic meta-survey of current challenges and future opportunities
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Enhancing the Interpretability of Rule-based Explanations through Information Retrieval
A tf-idf-style post-processing of rule-based explanations produces factor relevance scores that users rate as more interpretable and useful than raw rule output in a small study.