General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...

In classification, our goal is to assign each observation in the test dataset to one of a number of pre-specified categories. We do so using information from the observed predictor variables (or ...