Welcome to your interview for the Machine Learning Engineer role at Amazon.
The question is on your right: Hyperparameter Tuning for ML Models. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen. You have three graded attempts to score 7/10 or better.
You're comparing several supervised learning models and want a disciplined way to improve performance without overfitting to a validation split.
How do you tune hyperparameters for a machine learning model?