Naive Bayes Classifier in Machine Learning

Naive Bayes Classifiers are probabilistic models that are used for the classification task. It is based on the Bayes theorem with an assumption of independence among predictors. In the real-world, the independence assumption may or may not be true, but still, Naive Bayes performs well. Naive It is called naive because it assumes that all features in the dataset are mutually independent. Bayes, It is based on Bayes Theorem.