Hi there, help me to answer and understand this question.
Which of the following statements do, in part, explain why the more complex models have a higher MAPE (Mean Absolute Percentage Error)?
Select the best answer
a) MAPE captures forecast bias, and the more complex models are biased upwards
b) None of the forecast models include a seasonal component, while the incoming calls display strong seasonality
c) If the training data set was larger, the more complex models would be more accurate
d) None of the above