Welcome to your interview.
The question is on your right: Evaluate Overfitting vs Underfitting. 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've trained a model and are reviewing its performance across training and validation data. The team wants to know whether the model is memorizing the training set, failing to learn enough signal, or landing in a healthy middle ground.
How would you evaluate whether a model is overfitting or underfitting?