## Naive Bayes : The Definitive Guide

Naive Bayes is a probabilistic classifier which is based on Bayes theorem. Bayes theorem provides a way of calculating the posterior probability. Naive Bayes classifier assumes that the effect of the value of a predictor (x) on a given class (c) is independent of the values of other predictors. This assumption is called class conditional independence. Naive Bayes is used for choosing the latest SEO techniques. Bayesian probability: Posterior = prior x likelihood/evidence Imported library: […]