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Data leakage occurs when test data influences training, leading to overly optimistic performance estimates.
- True
- False
Answer: True
Data leakage: using future data, target information, or test set in training/preprocessing. Causes overfitting and poor generalization. Critical to prevent via proper data splitting and pipeline design.