Why Naive Bayes Algorithm is NOT affected by Feature Scaling
Naive Bayes is a probabilistic algorithm that makes class predictions based on Bayes’ theorem, which states that the probability of a class given a set of features is proportional to the product of the probabilities of each feature given the class. The algorithm assumes independence between the features, so scaling the features should not affect…