What is the impact of feature correlation on Naïve Bayes decision boundary?

Feature correlation can distort probability estimates but often does not severely affect decision boundaries.

Correlated features lead to double-counting evidence in Naïve Bayes, which inflates likelihoods. However, decision boundaries depend on relative comparisons between classes, so classification may still remain correct. Severe correlation can still bias predictions.