Your question is Optimize Model 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 and the current version is not meeting the performance bar. Several candidate algorithms and preprocessing choices are on the table, and you need a principled way to improve results without overfitting.
How would you optimize a machine learning model for performance?