Your question is False-Positive Metrics for Detection Models. 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).
We want to track the false-positive rate of our detection models over time at Abnormal AI. What key metrics would you define, and how would you structure the underlying data?