Which statement best differentiates generative from discriminative models?
Answer options
A
Generative models are newer than discriminative models
B
Generative models are only for images, discriminative for text
C
Both models serve the same purpose
D
Generative models cannot be trained with labeled data
E
Generative models learn the joint probability distribution,
F
while discriminative models learn the conditional probability
Correct answer: Generative models learn the joint probability distribution,, while discriminative models learn the conditional probability
Explanation
Generative models learn the joint probability distribution P(X,Y), modeling how input features and labels are jointly distributed. Discriminative models learn the conditional probability P(Y|X) — the boundary between classes. Options [4] and [5] together form the complete answer: 'Generative models learn the joint probability distribution, while discriminative models learn the conditional probability.'