The user wants to understand Validation Data in the context of Model Evaluation & Monitoring and apply it to practical AI governance or compliance work.
Validation data is data used to evaluate a model during development and tune choices such as hyperparameters, thresholds, or learning processes. It should be distinct from training and test data to help detect underfitting, overfitting, and generalization problems.
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