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Explain what is naive bayes in machine learning?
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Answer / Anubha Rastogi
Naive Bayes is a classification algorithm based on applying Bayes' Theorem with strong independence assumptions between the features. It assumes that the presence of a particular feature does not affect the presence or absence of any other feature. This assumption allows for efficient implementation, but can lead to suboptimal results in certain cases.
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