Random tree

A Random Tree is a type of decision tree model that is typically used in the context of ensemble learning methods, particularly in algorithms like Random Forests. Here are some key points about Random Trees: 1. **Basic Concept**: A Random Tree is a decision tree that makes splits based on a random subset of features and data points. This randomization helps reduce overfitting, which is a common problem in standard decision trees.