Naive Bayes In Naive Bayes modeling, a Bayesian probability distribution is estimated under a strong assumption: that all of the features are conditionally independent given the target value.
given n features x i with respect to the context x, we have: The context x is constant for each outcome y, so we only need to find: For most natural language processing scenarios, including ours, this independence assumption is almost certainly false.