Model Validation

Noun · AI & Machine Learning

Definitions

  1. 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."

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