Welcome to your interview.
The question is on your right: Bias-Variance Tradeoff in Practice. 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 (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You are comparing several supervised learning models and want a principled way to explain why some underfit while others overfit.
Can you define the bias-variance tradeoff and explain how it impacts model performance?