Learn about how a decision tree classifier is used in context.
Your assignment is to read the following items and be prepared to discuss them in class.
How do you train a decision tree? How do you determine the "best split"? How might you prune a decision tree? How might you deal with missing data? What are positive contexts for using decision trees?