Made Simple -- Naive Bayes Classifiers

Naive Bayes Classifiers are a family of algorithms that are based on Bayes theorem. They are classification algorithms with the main principle being that every feature being classified is independent of the other. P(c) Prior, number of documents in class c divided by the total number of documents. We have the following documents. Document 1 and 2 are Burgers while 3 and 4 are Sandwich.