Let's say that I'm building a binary classifier for giving loans to consumers. But apart from the standard accuracy metrics I can use, I have a requirement from the business, which wants to be able to auto-approve 80% of the loans.My gut instinct is that this should be 1 - False Positive Rate, but I'm not quite sure.Any ideas?
Translating a Business Metric into an ML Accuracy Metric
classification;accuracy