In SAS Model Manager, what does the formal 'model validation' workflow step accomplish before deployment?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — model validation in SAS Model Manager runs the registered model's score code against a holdout dataset, checks that it executes cleanly, and records the performance metrics you need before deployment. Cross-validation is training work, not this validation step.
Full Explanation
Model validation in SAS Model Manager executes the registered model's score code on a holdout dataset, confirms it runs without errors, compares output to expected results, and records performance metrics. Training with k-fold cross-validation to optimize hyperparameters is a training technique, not validation. Comparing the model to regulatory-approved baseline models with statistical tests is a downstream governance activity. Reviewing model documentation for completeness before inventory submission is governance, not validation execution.