Example Concept: In time series forecasting, a common pitfall is using standard k-fold cross-validation, which can lead to data leakage by mixing past and future data. Instead, techniques like time series split or walk-forward validation should be employed. These methods maintain the temporal order by training on past data and validating on future data, thus preserving the sequence and providing more reliable performance estimates.