Naive Bayes Classification: A probabilistic model that applies Bayes’ theorem assuming conditional independence among features, used extensively for its efficiency and interpretability.

A naive Bayes classifier is created and then used to make predictions for the 20 data items. The accuracy of the trained model is 80 percent (16 out of 20 correct).

Gaussian naive Bayes classification is a classical machine learning technique that can be used to predict a discrete value when the predictor variables are all numeric. For example, you might want to ...