How do you split data into train/validation/test sets and why does it matter?

Train data fits the model, validation tunes choices, and test evaluates final performance. Good splits prevent leakage and ensure realistic evaluation. For time-based data, split by time (not random). For grouped data (users), split by group to avoid the same entity appearing in multiple sets.