Package com.imsl.test.example.datamining.supportvectormachine

Class SupportVectorMachineEx2

java.lang.Object

com.imsl.test.example.datamining.supportvectormachine.SupportVectorMachineEx2

public class SupportVectorMachineEx2
extends Object

Classifies Fisher's iris data after first selecting parameter values using cross-validation.

This example uses stratified cross-validation to select parameter settings for C and \(\gamma\) using the minimum CV error criterion. Then, a SVClassification model is configured with these "best" settings and fitted to the training sample. The classification errors on the entire dataset are shown. Compare these errors with those given in SupportVectorMachineEx1, where default values were used.

See Also:

• Code
• Output

Constructor Summary

Constructors

Constructor	Description
SupportVectorMachineEx2()

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

SupportVectorMachineEx2

public SupportVectorMachineEx2()

Method Details

main

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

Throws:

Exception