Your question is Choosing Models for Classification Scoring. 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 are choosing a model for a supervised scoring problem, where the output is a probability or risk score used to rank or classify cases. Several candidate models are on the table, and you need a principled way to pick among them.
What machine learning models would you use for classification and scoring problems, and how would you decide among them?