Your question is Explain ROC Curves Clearly. 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 presenting model results to a marketing executive who wants a simple explanation of how the classifier behaves across different thresholds. The team has seen the ROC curve in the review deck, but the business owner wants to understand what it says about false alarms and missed cases.
How would you explain an ROC curve to a non-technical marketing executive?