Which of the following error measurement can be used to compare forecasts across different data sets?
A) MAD
B) MSE
C) MAPE
D) none of the above

Question

Quizplus · Accepted Answer

MAPE (Mean Absolute Percentage Error) is the best choice because it calculates the error as a percentage and can be used to compare forecasts across different data sets regardless of their scale or unit of measurement. MAD (Mean Absolute Deviation) and MSE (Mean Squared Error) are not suitable for comparing forecasts across different data sets because they are measured in the same unit as the original data and are affected by the scale and variability of the data.

Which of the Following Error Measurement Can Be Used to Compare