Welcome to your interview.
The question is on your right: Explain Precision Recall Tradeoff. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You are discussing a classification model with a product team that needs to understand how model quality changes based on what kinds of mistakes you are willing to accept. They want a simple way to reason about when to favor catching more positives versus being more selective.
How would you explain the trade-off between precision and recall to a product team?