ML algorithm and projects

 Forecast Accuracy Metrics We will be discussing here about the most commonly used forecast accuracy metrics mentioned below: Forecast bias MAD MAPE MSE RMSE MPE Forecast Bias This metric will help us in understanding whether the model has over estimated or under estimated. If the value is positive then its overestimation and if its negative then underestimation.  In order to get bias as a % of sales, we have Forecast Bias %                                                                             fig:  relexsoumtions                                    If the value is more than 100 % then its an over forecast and if its less than 100% its under forecast. It is important metric in demand forecast...