Records from the same customer appear in both training and validation sets, inflating performance on customer-specific signals. What split should be evaluated?

1. Sorting rows by predicted probability before splitting
2. A group-aware split keeping each customer in one side
3. A random row split with more shuffling
4. Duplicating rare customers into both partitions