Your question is Overfitting vs Underfitting. 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).
What is the difference between overfitting and underfitting?
Answer in the context of a supervised learning model. Keep your explanation focused on how each problem appears in training vs validation performance, and mention one or two ways to fix each.
