Forecasting, Deep Learning, Arima, Goldman Sachs, Data Science.
relative to the total variance. MAPE and MPE are percentage-based metrics that measure the average percentage difference between the predicted and actual values. MAPE is more suitable for smaller errors, while MPE is more appropriate for larger errors. Choosing the appropriate evaluation metric