Model Validation - CI/CD Glossary Definition

Model validation checks a trained model against quality thresholds on held-out data and blocks promotion when it fails.

Model validation evaluates a trained model on held-out data against quality thresholds (accuracy, precision, recall, calibration) before it can be promoted. Failing thresholds block deployment.

Validation is the CI gate for models: it turns evaluation metrics into a pass or fail decision in the deployment pipeline.

Gate on metrics

A validation stage asserts the new model beats a baseline and meets minimum metrics on a test set (test-set-gl36). If not, the pipeline stops.

Related guides