You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables,
and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85. Whatis
your evaluation of this model?

A.
The tree is probably overfit. Try fitting shallower trees and using an ensemble method.

B.
The AUC is high,and the small nodes are all very pure. This is an accurate model.

C.
The tree did not split on all the input variables. You need a larger data set to get a more accuratemodel.

D.
The AUC is high,so the overall model is accurate.It is not well-calibrated,because the small nodes will give
poor estimates of probability.