Model assessment for EXTREMELY imbalanced dataset
I would only look at the precision/recall scores of the undersampled class (the positive class in your case).

Checking the performance on the oversampled class seems quite meaningless, since it is quite easy to achieve very high scores.

Then, balancing the precision/recall with a F-beta score will depend on your specific use case.