Forecasting software packages typically report several summary measures of the forecasting error.The most important of these are MAE (mean absolute error),RMSE (root mean square error),and MAPE (mean absolute percentage error).

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These measures, MAE, RMSE, and MAPE, are commonly used to summarize the forecasting error in various forecasting software packages, providing different perspectives on the accuracy and performance of the forecasting models.

Forecasting Software Packages Typically Report Several Summary Measures of the Forecasting