Package com.imsl.test.example.datamining

Class NaiveBayesClassifierEx1

java.lang.Object

com.imsl.test.example.datamining.NaiveBayesClassifierEx1

public class NaiveBayesClassifierEx1
extends Object

Trains a classifier to Fisher's Iris data.

This example trains a NaiveBayesClassifier on Fisher's Iris data. The training data contains 140 of the 150 continuous patterns and the remaining ten are then used as a test set. Fisher's (1936) Iris data is often used for benchmarking classification algorithms. It consists of the following continuous input attributes and a classification target:

• Continuous Attributes Usage
• Sepal Length
• Sepal Width
• Petal Length
• Petal Width
• Classification of Iris Type
• Setosa
• Versicolour
• Virginica

See Also:

• Code
• Output

Constructor Summary

Constructors

Constructor	Description
NaiveBayesClassifierEx1()

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

NaiveBayesClassifierEx1

public NaiveBayesClassifierEx1()

Method Details

main

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

Throws:

Exception