Mean absolute deviation (MAD), mean square error (MSE), and mean absolute percentage error (MAPE) forecast error metrics generally giving similar numerical results so it does not matter which one is used.

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MAD, MSE, and MAPE are all different types of forecast error metrics that measure the accuracy of a forecasting model. While they may give similar results in some cases, they each have their own strengths and weaknesses depending on the nature of the data being analyzed. Therefore, it is important to carefully consider which metric to use depending on the specific circumstances of the analysis.

Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean