Your question is Tune Model Hyperparameters. 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 choosing hyperparameters for a supervised learning model before deployment. The goal is to improve generalization on unseen data, not just fit the training set.
How do you tune hyperparameters for a machine learning model?