Question

Which of the following is true about RMSE?

• A. It helps to find the square root of a number.
• B. It stands for Rough Mean Square Error.
• C. It helps to determine the accuracy of an AI model.
• D. It is the square root of the sum of test values and predicted values.

Hint:

Tip: Lower RMSE = better predictions; it measures how much your model’s output differs from reality.

Answer 1

The Correct Option is C

RMSE stands for Root Mean Square Error, not Rough Mean Square Error.
It is a widely used metric to measure the accuracy of predictions made by a model.
RMSE calculates the square root of the average of squared differences between actual and predicted values.
A lower RMSE value indicates better model performance, as it means the predictions are closer to actual results.
It does not find the square root of any number alone; it specifically relates to prediction error.
Therefore, RMSE helps to determine the prediction accuracy of an AI or statistical model.
So, the correct answer is option (C).