Your question is Evaluating Models on Imbalanced Data. 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).
How do you evaluate a model on imbalanced datasets using precision, recall, F1-score, and ROC-AUC?