Decision tree

Decision tree analysis is a wide-​range, analytical modelling tool that has applications in different areas. Decision trees are built via an algorithm approach that identifies to split the dataset based on different conditions. In decision trees splitting of data should be continuous according to certain factors. This algorithm is described by two factors called decision nodes and leaves. Decision nodes are the nodes where data are split and leaves are the final outcomes. Classification trees and regression trees are the main types of decision trees. The main goal of the algorithm is to create a model that predicts the target variable by simple rules.