Your question is Model Evaluation 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).
What metrics do you use to evaluate the performance of a model?
Answer this as a practical interview question. Explain how your metric selection changes for classification, regression, ranking, or probabilistic prediction, and how you would account for class imbalance and differing error costs. Mention how you would validate performance on held-out data and use error analysis alongside aggregate metrics.