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From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier
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 introduce a discriminative reformulation based on log-odds, which is more di …