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Unlocking the Benefits of Forecasting – An Engineering Perspective
[…] it difficult to compare time series on different scales. The two most commonly used measures of this type are the Mean Absolute Error (MAE) – which equally weighs all data points – and Root Mean Squared Error (RMSE) – which aims to minimize extreme errors (at the expense of worse average performance). Percentage errors […]