Welcome to your interview.
The question is on your right: Bias-Variance in Model Selection. 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're comparing several supervised learning models and want to choose one that will generalize well to new data.
What is the bias-variance tradeoff, and how does it affect model selection?