List down some popular algorithms used for deriving Decision Trees along with their attribute selection measures

Data Science, AI and ML
#1

Some of the popular algorithms used for constructing decision trees are:

1. ID3 (Iterative Dichotomiser): Uses Information Gain as attribute selection measure.

2. C4.5 (Successor of ID3): Uses Gain Ratio as attribute selection measure.

3. CART (Classification and Regression Trees) – Uses Gini Index as attribute selection measure.