28. What is the difference between a generative and a discriminative model?
(A) A generative model learns the underlying probability distribution of the data, while a discriminative model learns the decision boundary between classes.
(B) A generative model learns the decision boundary between classes, while a discriminative model learns the underlying probability distribution of the data.
(C) A generative model is unsupervised, while a discriminative model is supervised.
(D) A generative model is used for regression, while a discriminative model is used for classification.
(E) None of the above.