Assessing alignment and stability of feature importance explanations via weight of evidence
Read the original at arxiv.org→arXiv:2609.00090v1 Announce Type: new Abstract: Feature importance Methods (FIMs) are widely used in Explainable AI to interpret model predictions, yet attribution scores alone often provide limited insight into the...
Original headline: "Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence"
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- Sep 2, 04:00 UTC arXiv cs.LG lead source Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence