Database, Decision Tree, Random Forest, Entropy, Gini Index.
factors and the consequences that may be derived. It is one of the simplest supervised learning methods that can be applied to both regression and classification. The Basics Here are the main elements in a tree, given a set of records R with a set of attributes A: (the goal is to predict a tree t