After performing our data cleanup, it's time to examine our prediction targets. Our ideal modeling pipeline includes two models: one that controls acceptance of the loan and one that estimates interest rate. Already you should be thinking that the first model is a binary classification problem (accept or reject the loan) while the second model is a regression problem, where the outcome is a numeric value.