Simple Explanation of Naive Bayes Algorithm

                      Naive Bayes algorithm  generally assumes that the input features are independent to each other.It gives the amount of probability of one feature given the amount of  another feature.It is a type of classification algorithm. The formula is:           where      P(A|B)= Posterior probability - means probability of feature A given the                                                            probability of B     P(B|A) =Likelihood - means  probability of feature B given the                                                            ...