Answer / Mahendra Kumar Singh Patel

A Generative model learns the joint probability distribution of input features and output labels, whereas a Discriminative model learns the conditional probability of the output label given the input features. In simpler terms, Generative models attempt to model the underlying data-generating process, while Discriminative models focus on identifying boundaries between classes.

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