A demand-forecast model is evaluated on time-series data. Which split strategy helps avoid learning from future information?

1. Use a time-aware split that respects the prediction timeline
2. Evaluate only on the exact training records
3. Randomly include future labels in every training row
4. Select test records after repeatedly examining their labels