Question

To import the Auto dataset into Rstudio:

library("ISLR")
data(Auto)
view(Auto)

Then, provide necessary codes for the following:

a. Create a binary variable FuelEfficient that takes on the value Yes or 1 if mpg is greater than 25
and takes on the value No or 0 if mpg is less than, or equal to, 25.
b. Split the data into a training set and a test set.
c. Fit a tree to the training data with FuelEfficient as the response variable.
d. What is the training error rate?
e. Predict the response on the test data. Produce a confusion matrix and calculate the test error rate.
f. Use cross-validation in order to determine the optimal level of tree complexity.
Plot the pruned tree. How many terminal nodes are in the pruned tree?
g. Compare the training error and test error of the pruned tree and full tree.cross

Answer 1