Tree Methods

Detailed Description

A collection of recursive partitioning (tree) methods.

Modules
	Decision Tree
	Decision trees are tree-based supervised learning methods that can be used for classification and regression.
	Random Forest
	Random forest is an ensemble learning method for classification and regression that construct a multitude of decision trees at training time, then produces the class that is the mean (regression) or mode (classification) of the prediction produced by the individual trees.