A graph built from classification rules yields a feature-importance score and a rule-set distance that perform competitively with and more robustly than common importance metrics.
IEEE journal of biomedical and health in- formatics19(5), 1557–1566 (2015)
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Enhancing interpretability of rule-based classifiers through feature graphs
A graph built from classification rules yields a feature-importance score and a rule-set distance that perform competitively with and more robustly than common importance metrics.