Forecast metrics compare forecasts with actual values: MAE and RMSE in the units of the series, MAPE as a percentage (unstable near zero), sMAPE, and MASE, which compares to a naive forecast. The choice depends on sensitivity to large errors and on values close to zero.
Example
mean_absolute_percentage_error(reel, prevu)