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Validation Data
Fundamentals
Data used for model tuning (e.g., hyperparameters).
Validation data are used to select models and hyperparameters without touching the final test set.
- Purpose: Estimate generalization during development.
- Best practices: Keep separate from training/test data, ensure same distribution, use meaningful metrics.
- Risk: Overfitting to validation data through repeated tuning.