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Cross-Validation
Data / Training / Evaluation
Repeated train/test splits for robust estimation.
Cross-validation evaluates model performance by repeatedly splitting data into training and test sets.
- Variants: k-fold, leave-one-out, stratified CV.
- Benefit: Produces a more reliable performance estimate.