Decision Tree Intuition: From Concept to Application - KDnuggets

By Clare Liu, Data Scientist at fintech industry, based in HK. A decision tree is one of the popular and powerful machine learning algorithms that I have learned. It is a non-parametric supervised learning method that can be used for both classification and regression tasks. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. For a classification model, the target values are discrete in nature, whereas, for a regression model, the target values are represented by continuous values.