Decision Tree, Entropy, Information Gain, Gini Index.
T will simply equal T0, because then (8.4) just measures the training error. However, as α increases, there is a price to pay for having a tree with many terminal nodes, and so the quantity (8.4) will tend to be minimized for a smaller subtree An Introduction to Statistical Learning, P 333