UGC NET CSE | December 2025 | Part 2 | Question: 79

Question

Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R

Assertion A: In supervised learning, the model is trained using labelled data.

Reason R: Supervised learning algorithms find patterns in data to predict outcomes without any prior knowledge of the correct output.

In the light of the above statements, choose the most appropriate answer from the options given below

• A. Both $\mathbf{A}$ and $\mathbf{R}$ are correct and $\mathbf{R}$ is the correct explantion of $\mathbf{A}$
• B. Both $\mathbf{A}$ and $\mathbf{R}$ are correct but $\mathbf{R}$ is NOT the correct explanation of $\mathbf{A}$
• C. $\mathbf{A}$ is correct but $\mathbf{R}$ is not correct
• D. $\mathbf{A}$ is not correct but $\mathbf{R}$ is correct

Answer 1

A : Correct (training requires knowledge of ground truth to calculate loss)

B : False (Supervised algorithms use knowledge of correct output to guide the learning of weights)