Explainability in action: A metric-driven assessment of local explanations for healthcare tabular models
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Explainable AI (XAI) is increasingly used in clinical machine learning, yet quantitative evaluation of explanation quality is often reported inconsistently across methods and datasets. We present a reproducible, metric-driven framework for evaluating XAI metho... ...
