Your question is Bias-Variance Tradeoff in Model Choice. 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).
You're comparing a few supervised learning models and want to choose one that will generalize well to new data.
Explain the bias-variance tradeoff and how it impacts your choice of algorithm.