While performing Cross-Validation, you notice a significant discrepancy between training and validation performance in each fold. What might be the reason, and how would you address it?
- All of the above
- Data leakage; ensure proper separation between training and validation
- Overfitting; reduce model complexity
- Underfitting; increase model complexity
A significant discrepancy between training and validation performance could result from overfitting, underfitting, or data leakage. Addressing it requires identifying the underlying issue and taking appropriate action, such as reducing/increasing model complexity for overfitting/underfitting or ensuring proper separation between training and validation to prevent leakage.
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