Decision Trees and Random Forests are two popular machine-learning algorithms used in predictive analytics. Both algorithms are used for classification and regression problems, but they have some key differences that make them more suitable for different types of data and use cases. In this post, we’ll explore the differences between Decision Trees and Random Forests, …
This is a method of creating a flowchart-like tree structure to represent the decisions and their possible consequences.