Create a CART model using the training data set that predicts Response using whatever predictors you think appropriate. Visualize the decision tree. Describe the first few splits in the decision tree.

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Develop a CART model using the test data set and the same target and predictor variables. Visualize the decision tree. Investigate the splits in the decision tree. Does the tree built using the test data match the tree built using the training?

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Build a C$5\mathrm{.}0$ model using the training data set that predicts Response and the same target and predicator variables. Specify a minimum of $1000$ cases per terminal node. Visualize the decision tree. Describe the first few splits in the decision tree.