What happens if a classification tree is grown to its fullest extent?

a. Each leaf node will be 100% pure (all Class 1 observations or all Class 0 observations)

b. The best predictive performance on out-of-sample data will be achieved.

c. Each leaf node will consist of a single observation.

d. Training error is minimized, but the tree is very likely to be overfit.