For a group project during our AI Bootcamp at BeCode, we were asked to build a service where people can upload a picture of a skin mole they worry about, and learn if they should have it checked by a doctor or not. This article tries to answer a question that came out of that project (we couldn’t let it go); would our model performance have been better if we would have known how to handle imbalanced classes?
The key input received from our coaches is described below:
