RealAC generates counterfactual explanations by matching pairwise feature dependencies via mutual information and applying a user-defined immutability mask, but the reported performance gains are not uniformly supported by its own tables.
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RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
RealAC generates counterfactual explanations by matching pairwise feature dependencies via mutual information and applying a user-defined immutability mask, but the reported performance gains are not uniformly supported by its own tables.