Question: Create a regression tree using the accompanying data set (predictor variables: x 1 to x 4 ; target: y). Select the best-pruned tree for scoring

Create a regression tree using the accompanying data set (predictor variables: x₁ to x₄; target: y). Select the best-pruned tree for scoring and display the full-grown, best-pruned, and minimum error trees.

a. What is the minimum validation MSE in the prune log? How many decision nodes are associated with the minimum error?

b. Display the best-pruned tree. How many leaf nodes are in the best-pruned and minimum error trees?

c. What are the predictor variable and split value for the first split (root node) of the best-pruned tree? What are the rules that can be derived from the root node?

d. What are the RMSE and MAD of the best-pruned tree?

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