Create a CART model using the training data set that predicts income using marital status and capital gains and losses. Visualize the decision tree $($that is$,$ provide the decision tree output$).$ Describe the first few splits in the decision tree.

Develop a CART model using the test data set that utilizes the same target and predictor variables. Visualize the decision tree. Compare the decision trees. Does the test data result match the training data result?

Use the training data set to build a C$5\mathrm{.}0$ model to predict income using marital status and capital gains and losses. Specify a minimum of $75$ cases per terminal node. Visualize the decision tree. Describe the first few splits in the decision tree.

How does your C$5\mathrm{.}0$ model compare to the CART model? Describe the similarities and differences.