Assign a numerical value to each possible outcome on the tree. Use dollar amounts for outcomes. For example, if one outcome would gain the company $100,000, mark "$100,000" next to it.

Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident ...

If the signal to noise ratio is low (it is a ‘hard’ problem) logistic regression is likely to perform best. In technical terms, if the AUC of the best model is below 0.8, logistic very clearly ...