MAPE (mean absolute percentage error) is a relative error measure that uses absolute values. The absolute values keep the positive and negative errors from cancelling out each other. Because relative errors do not depend on the scale of the dependent variable, this measure enables you to compare forecast accuracy between differently scaled time-series data.