Your question is Choosing Core Model Metrics. 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 discussing how to evaluate an AI model before launch and after deployment. The team wants a clear way to measure performance, but the right metric depends on the task and the cost of different mistakes.
What metrics would you use to evaluate the performance of an AI model?