Listen in as Anders Larson, FSA, MAAA, interviews Shea Parkes, FSA, MAAA about decision trees.  Decision trees are an important class of predictive models that are not often covered in traditional statistics classes.  Although it is becoming more rare to use a single decision tree, they are an important building block in at least two of the most prevalent ensemble learning methods in use today.  This discussion tries to lay the groundwork so the next sessions can focus on RandomForests and Gradient Boosting Machines.