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Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

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 underlying reasoning process. In this work, we introduce a novel perspective by emb…

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  1. 2026-09-02 04:00 · arXiv cs.LG
    Assessing Alignment and Stability of Feature Importance Explanations via Weight of Evidence

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