Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
between projected values and observed data, and they are defined by the formula: Error = ForecastedValue − ObservedValue There are several metrics commonly employed to compute these errors, such as Mean Absolute Error (MAE) Mean Squared Error (MSE) Root Mean Squared Error (RMSE) Assuming that the