- Choose CART or C5.0 (your choice).
- Compare at least two variations of the chosen algorithm (i.e., change the tree depth, select boosting or bagging, does it make sense to adjust misclassification costs?, etc.).
- List these variations and the prediction accuracy on the training and test set. (e.g., in a table)
- Which one do you prefer to use to answer Query 2? Why?
- Briefly summarize the steps you took to arrive at this model and include the relevant output (e.g., tables, figures, etc.)
- Provide the requested list of students.