Package com.imsl.test.example.datamining.decisionTree

Class RandomTreesEx2

java.lang.Object

com.imsl.test.example.datamining.decisionTree.RandomTreesEx2

public class RandomTreesEx2
extends Object

Fits a random forest to Fisher's Iris data using ALACART decision trees.

This example builds a random forest RandomTrees with ALACART decision trees. Classification errors for the Iris data are shown using the out-of-bag predictions. An out-of-bag prediction for an observation is generated by models fitted to bootstrap samples that do not include the observation.

See Also:

• Code
• Output

Constructor Summary

Constructors

Constructor	Description
RandomTreesEx2()

Method Summary

Modifier and Type	Method	Description
static void	main(String[] args)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

RandomTreesEx2

public RandomTreesEx2()

Method Details

main

public static void main(String[] args)
                 throws Exception

Throws:

Exception