Using a decision tree classifier from an ML library is often awkward because in most situations the classifier must be customized and library decision trees have many complex supporting functions.

Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2 ...