A demand forecasting model will predict next month from past sales. Which validation split best reflects this deployment?

1. Train only on the validation month and score the same rows.
2. Train on earlier periods and validate on later periods without future information in features.
3. Sort by sales value and reserve only the largest sales for training.
4. Randomly mix future and past rows into every split without considering time.