DLIME uses agglomerative hierarchical clustering and KNN to generate stable local explanations for black-box ML predictions on medical data, outperforming LIME on Jaccard similarity of repeated explanations.
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DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems
DLIME uses agglomerative hierarchical clustering and KNN to generate stable local explanations for black-box ML predictions on medical data, outperforming LIME on Jaccard similarity of repeated explanations.