Answer / Lalsingh

A Naive Bayes classifier is a simple probabilistic model based on Bayes' theorem with an assumption of independence among features (i.e., the presence or absence of one feature does not affect the probability of observing any other feature). It assumes that the joint probability of the observed features can be factorized into the product of individual conditional probabilities, which simplifies the computation significantly. Naive Bayes classifiers are widely used for text classification and spam filtering due to their simplicity and effectiveness.

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