Naïve Bayes (NB) technique is a supervised learning technique that uses probability-theory-based analysis. It is a machine-learning technique that computes the probabilities of an instance belonging of each one of many target classes, given the prior probabilities of classification using individual factors. Naïve Bayes technique is used often in classifying text documents into one of multiple predefined categories.
