MAPE (mean absolute percentage error) is a relative error measure that uses absolute values. There are two advantages of this measure. First, the absolute values keep the positive and negative errors from cancelling out each other. Second, because relative errors do not depend on the scale of the dependent variable, this measure lets you compare forecast accuracy between differently scaled time-series data.