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Which technique splits data into training, validation, and test sets to prevent overfitting?
- Cross-Validation
- Holdout Method
- Bootstrap
- All of these
Answer: All of these
Data splitting strategies: holdout (simple split), cross-validation (multiple folds), bootstrap (resampling). Critical for reliable model evaluation and generalization assessment.