keel.Algorithms.Genetic_Rule_Learning.SIA

Class evaluateRuleQuality

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.SIA.evaluateRuleQuality

public class evaluateRuleQuality
extends java.lang.Object

Title: Evaluation of the quality of the rules

Description: This class computes the final statistics

Since:

JDK1.4

Version:

1.3

Author:

Written by José Ramón Cano de Amo (University of Jaén) 08/04/2004, Modified by Alberto Fernández (University of Granada) 02/17/2005

Constructor Summary

Constructors

Constructor and Description
evaluateRuleQuality(ruleSet conjreg, int numClases, double[][] rangs, int[] limites, int[] tips, java.lang.String[] _nombreClases) Class Builder

Method Summary

Modifier and Type	Method and Description
java.lang.String	printString() It returns a string with the accuracy percentage in training and test
java.lang.String	salida(myDataset datos, int entrena) It generates a string with the ouput list, <expected output> <method output>

Methods inherited from class java.lang.Object

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

Constructor Detail

evaluateRuleQuality

public evaluateRuleQuality(ruleSet conjreg,
                           int numClases,
                           double[][] rangs,
                           int[] limites,
                           int[] tips,
                           java.lang.String[] _nombreClases)

Class Builder

Parameters:

conjreg - Final rule set

numClases - Number of classes of the problem

rangs - Bounds array

limites - Array with the length of the bounds array

tips - Array with the types of the attributes

_nombreClases - String [] names of the data-set classes

Method Detail

salida

public java.lang.String salida(myDataset datos,
                               int entrena)

It generates a string with the ouput list, <expected output> <method output>

Parameters:

datos - Data-set

entrena - 0 if it refer to the training set, 1 for test set

Returns:

A string with a list of pair values <original class> <computed class>

printString

public java.lang.String printString()

It returns a string with the accuracy percentage in training and test

Returns:

a string with the accuracy percentage in training and test