Your question is Managing Feedback and Drift. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What is your approach to managing the feedback loop for an active machine learning model in production at Hubvisory? How do you handle model drift?