Example of a naive Bayes classifier depicted as a Bayesian Network In statistics, naive (sometimes simple or idiot's) Bayes classifiers are a family of "probabilistic classifiers" which assumes that the features are conditionally independent, given the target class.[1] In other words, a naive Bayes model assumes the information about the class provided by each variable is unrelated to the informat
