Your question is Tune a Model for Better Performance. 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).
You are working on a supervised learning model that is already in production, but its validation score is not good enough. Your team wants a clearer plan for improving performance without changing the problem setup.
How would you optimize a machine learning model for better performance?