Your question is Imbalanced Classification 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).
Explain the difference between accuracy, precision, recall, and F1 score in an imbalanced classification problem.
Define each metric, describe how it is calculated from the confusion matrix, and explain why accuracy may be misleading when one class is much more common than the other. Clarify when precision, recall, or F1 score should be prioritized.