Model Validation
Noun · AI & Machine Learning
Definitions
The process of verifying that a model or model-backed system behaves acceptably before or during deployment. Model validation can include benchmarks, regression tests, human review, policy checks, and schema verification.
In plain English: Checking that a model is acceptable and working as expected.
Example: "The release checklist required model validation on real customer documents, not just curated benchmark examples."