Decision Tree, Cart, Machine Learning.
2)) = — 14/20.log(14/20) — 6/20.log(6/20) =0.880 Information Gain: The information gain is the decrease in the entropy after the dataset is split on the basis of an attribute. Constructing a decision tree depends on finding the attribute that returns the highest information gain. It helps in