Decision Tree, Cart, Machine Learning.
entries of class 1 is equal to the number of entries of class 2, and we randomly select an entry, it will belong to any class 1 or 2 with a 50% probability each. In such cases, the entropy will be high. If a certain dataset has all data belonging to either class 1 or class 2, the entropy obtained