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

Class RandomTreesEx3

java.lang.Object

com.imsl.test.example.datamining.decisionTree.RandomTreesEx3

public class RandomTreesEx3
extends Object

Fits a random forest using C45 decision trees and calculates variable importance.

This example builds a random forest C45 with C45 decision trees on simulated categorical data. A variable importance measure based on the change in predictive accuracy is highest for variable 0.

See Also:

• Code
• Output

Constructor Summary

Constructors

Constructor	Description
RandomTreesEx3()

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

RandomTreesEx3

public RandomTreesEx3()

Method Details

main

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

Throws:

Exception