Random Forest

This is an extension of decision tree which combines multiple decision tree together to improve the accuracy of the prediction.

Decision Trees vs Random Forests: What’s the difference and when to use each

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, …