🎉 AI Engineers: Join our free webinar on how to improve your RAG performance. Secure your spot >

To Glossary Lobby

What is Performance Metrics Degradation in Machine Learning

In models, one often has to make do with subpar labels before production. Once high-quality labels are available, it becomes possible to re-evaluate the model’s performance. This is the most conclusive metric for detecting model degradation. Unfortunately, in most use cases it can take weeks, months, or even years until high-quality labels are available. Waiting for high-quality labels for re-evaluation might result in late detection of issues after serious damage has already been done.

Learn more about how this can affect your model in production.

Green Design
Green Background

Control All your GenAI Apps in minutes