Naive Bayes works by assuming that the presence of a particular feature in

How does naive bayes classifier work in machine learning?

Question Posted / Deepak Varshney

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Answer Posted / Deepak Varshney

Naive Bayes works by assuming that the presence of a particular feature in a class is independent of the presence of any other feature. It calculates the probability of each class given the features and selects the class with the highest probability.

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