Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
penalise larger errors more than smaller ones, since the errors are squared. In contrast, MAE applies linear penalties to errors. The MAE is optimised when the point forecast is close to the median. The choice between MSE and MAE metrics involves trade-offs in outlier sensitivity, robustness, and