What is Test Set in Machine Learning?
A test set is a held-out subset of data used once to estimate final model performance on unseen examples after training and validation are complete.
Related Giskard articles
Do not stop at test-set accuracy
Complement static test sets with continuous behavioral and security evals. See Giskard OSS v3.
Further reading
Authoritative reference: Wikipedia: Train/validation/test sets.