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From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier

arXiv:2610.10642v1 Announce Type: new Abstract: This paper studies the construction of an explanatory space for a weighted naive Bayes classifier from the supervised representation induced by the model. We start from the classical supervised distance based on conditional log-likelihoods and introdu…

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  1. 2026-10-09 04:00 · arXiv stat.ML
    From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier

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