Decision Tree in Machine Learning – Towards Data Science

A decision tree is a flowchart-like structure in which each internal node represents a test on a feature (e.g. The paths from root to leaf represent classification rules. Below diagram illustrate the basic flow of decision tree for decision making with labels (Rain(Yes), No Rain(No)). Decision tree is one of the predictive modelling approaches used in statistics, data mining and machine learning. Decision trees are constructed via an algorithmic approach that identifies ways to split a data set based on different conditions.