Answer / Ruchi Tiwari

Generative models learn the joint probability distribution over input features and class labels, such as Naive Bayes and Hidden Markov Models. In contrast, Discriminative models focus on learning the conditional probability of class labels given input features, like Logistic Regression and Support Vector Machines.

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