Question

Assertion (A) : In real-life scenarios, a small RMSE value indicates a better model fit to the data and higher accuracy.
Reason (R) : A large RMSE value suggests that the model fits the data well.

• A. Both (A) and (R) are true, and (R) is the correct explanation of (A).
• B. Both (A) and (R) are true, but (R) is not the correct explanation of (A).
• C. (A) is true, but (R) is false.
• D. (A) is false, but (R) is true.

Hint:

Lower RMSE = better fit; higher RMSE = worse fit.

Answer 1

The Correct Option is C

RMSE (Root Mean Squared Error) quantifies regression model prediction accuracy.
A lower RMSE signifies a closer match between predicted and actual values, indicating superior accuracy and model fit, thus validating Assertion (A).
Conversely, Reason (R) is incorrect, as a high RMSE denotes substantial error and a poor model fit, not a good fit.
Therefore, only Assertion (A) is accurate, and Reason (R) is false.
Consequently, option (C) is the correct choice.