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Naive Bayes Classifier - How does a Bayesian classifier work?
Answer
As a supervised learning method for classification, Naive Bayes's job is to determine the data point's class using the feature values. With a collection of feature values (i.e., p(yi | x1, x2, …, xn)), a naive bayes classifier determines the likelihood of a class.