We say that a model is "overfit" when drill

Answer

prediction accuracy is low on test and high on train

The decision tree algorithm you learn is: drill

Answer

recursive

In decision tree construction , the purity of a partition is determined by using drill

Answer

entropy

The descision tree construction algorithm effectively draws

Answer

axis-parralel lines to identify pure partition

In decision tree construction, the best criterion for spltting an internal node is:

Answer

information gain