Regression is a deterioration in measured model performance relative to an earlier version or evaluation. It threatens trust when model outputs cannot be reproduced and complicates production decision-making. section 2.1.1 section 6.1.4
Treat regression as an operational signal that connects reproducible development with production monitoring:
- Reproduce the affected model, then compare the training dataset and training algorithm code to identify what changed. section 2.1.1
- Monitor deployed models after release so performance regressions are detected as a protection mechanism for high-impact applications. section 6.1.4
- Maintain multiple production model versions to evaluate training algorithms and select the strongest candidate. section 6.1.4
Production monitoring
A regression monitor can protect fraud-detection and loan-approval systems by identifying declining model performance after deployment. section 6.1.4
