RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a______, as it is scale-dependent.

The correct answer is B. Particular Variable. The RMSE serves to aggregate the magnitudes of the errors in predictions for various times into a single measure of predictive power. RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a particular variable and not between…

Model Evaluation and Selection

Question

Options

ABetween Variables
BParticular Variable
CAmong all the variables
DAll of the above are correct

How the community answered

(29 responses)

A
3% (1)
B
72% (21)
C
14% (4)
D
10% (3)

Explanation

The RMSE serves to aggregate the magnitudes of the errors in predictions for various times into a single measure of predictive power. RMSE is a good measure of accuracy, but only to compare forecasting errors of different models for a particular variable and not between variables, as it is scale-dependent.

Topics

#RMSE#scale-dependent metrics#model evaluation#forecasting

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