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Model Validation may refer to:
Assessing whether a statistical or machine-learning model is accurate and generalizes well to new data (e.g., via validation sets, cross-validation, and performance metrics).
Verifying and validating simulation models so they correctly represent real-world systems (often including verification, calibration, and validation against experiments).