Attack discrimination with smarter machine learning

The diagram above uses synthetic data to show how a threshold classifier works. As you can see, picking a threshold requires some tradeoffs. Too low, and the bank gives loans to many people who default. Too high, and many people who deserve a loan won't get one. So what is the best threshold?