In situations where you need to compare forecasting methods for different time periods, the most appropriate accuracy measure is mean
A) error.
B) absolute error.
C) squared error.
D) absolute percentage error.

Question

Quizplus · Accepted Answer

Absolute percentage error is the most appropriate accuracy measure when comparing forecasting methods for different time periods because it measures the relative accuracy of the forecast and is not affected by the scale of the data or units of measurement. It allows for meaningful comparison between methods for different time periods.

In Situations Where You Need to Compare Forecasting Methods for Different