Decision Tree, Cart, Machine Learning.
choosing which feature or attribute will be used to create the deciding internal node at a particular point. It is given by: Information gain=Entropy(s) — [(Weighted average) x (Entropy of each feature) Now, how does this actually operate? Say, this is our dataset. So, we have feature 1 and feature