Tree Methods

Detailed Description

A collection of recursive partitioning (tree) methods.

Modules
	Decision Tree
	Decision Trees. Decision trees use a tree-based model to predict the value of a target variable based on several input variables.
	Random Forest
	Random forests are an ensemble learning method for classification and regression that construct a multitude of decision trees at training time, then produce the class that is the mode of the classes of the individual trees.