com.imsl.test.example.datamining

Class CrossValidationEx1

java.lang.Object

com.imsl.test.example.datamining.CrossValidationEx1

public class CrossValidationEx1
extends Object

Uses cross-validation to determine the optimally pruned decision tree.

In this example, the QUEST algorithm is first used to fit a decision tree to simulated data. Then the minimal cost-complexity value is found via cross-validation. The class CrossValidation constructor accepts the decision tree object and then the method CrossValidation.crossValidate() is called to run the procedure. Finally, the tree is pruned using the result. Notice that the optimally pruned tree consists of just the root node, whereas the maximal tree has five nodes and three levels.

See Also:

Code, Output

Constructor Summary

Constructors

Constructor and Description
CrossValidationEx1()

Method Summary

Modifier and Type	Method and Description
static void	main(String[] args) The main method of the example.

Methods inherited from class java.lang.Object

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

Constructor Detail

CrossValidationEx1

public CrossValidationEx1()

Method Detail

main

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

The main method of the example.

Throws:

Exception