Question
Why should time-series training and test sets usually be split chronologically?
Select an option. Your answer will be checked instantly.
Correct Answer: C. Random splitting can leak future information into model training
Explanation:
Forecasting should mimic using past data to predict later periods.
Training on future observations would produce an unrealistically optimistic evaluation.
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