Regional Explanations via Causal Sufficiency and Necessity
Model explainability is essential for understanding and trusting machine learning models. Existing explainable AI methods often explain predictions through feature importance, counterfactual explanations, or rules. However, a region-level characterization of when and only when a prediction behavior arises remains less...
Xuexin Chen, Peng Liang, Zijian Li et al.
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