Which of the following is NOT an advantage in recombining training and validation period data when forecasting new value
Posted: Mon Jul 11, 2022 11:28 am
Which of the following is NOT an advantage in recombiningtraining and validation period data when forecasting new values forthe forecasting horizon?
With more data (the complete time series compared to only thetraining period), some models can be estimated more accurately.
The validation period, which is the most recent period, usuallycontains the most valuable information in terms of being theclosest in time to the forecasted period.
If only the training period is used to generate forecasts, thenit will require forecasting further into the future.
Training and validation together illustrate all the systematiccomponents present in the data.
With more data (the complete time series compared to only thetraining period), some models can be estimated more accurately.
The validation period, which is the most recent period, usuallycontains the most valuable information in terms of being theclosest in time to the forecasted period.
If only the training period is used to generate forecasts, thenit will require forecasting further into the future.
Training and validation together illustrate all the systematiccomponents present in the data.