keel.Algorithms.Rule_Learning.UnoR

Class EvaluaCalidadReglas

java.lang.Object

keel.Algorithms.Rule_Learning.UnoR.EvaluaCalidadReglas

public class EvaluaCalidadReglas
extends java.lang.Object

Get the statistical data from the algorithm. In particular, it evaluates the quality of the rules generated.

Since:

JDK1.2

Version:

1.1

Author:

Rosa Venzala

Constructor Summary

Constructors

Constructor and Description
EvaluaCalidadReglas(ConjReglas conjreg, ConjDatos conjTrn, ConjDatos conjTst, int[] muestPorClaseTrain, int[] muestPorClaseTest, java.lang.String[] valorNombreClases, java.lang.String[] valorNombreClasesTest) Calculates the final statisticals for a set of rules and a set of data

Method Summary

Modifier and Type	Method and Description
double	getAccuracyTest() Returns the accuracy for the test dataset.
double	getAccuracyTrain() Returns the accuracy for the training dataset.
java.lang.String	printString() Prints on a string the statistical(for test)
java.lang.String	salida(ConjDatos datos, boolean train) Generates a string with the out-put lists

Methods inherited from class java.lang.Object

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

Constructor Detail

EvaluaCalidadReglas

public EvaluaCalidadReglas(ConjReglas conjreg,
                           ConjDatos conjTrn,
                           ConjDatos conjTst,
                           int[] muestPorClaseTrain,
                           int[] muestPorClaseTest,
                           java.lang.String[] valorNombreClases,
                           java.lang.String[] valorNombreClasesTest)

Calculates the final statisticals for a set of rules and a set of data

Parameters:

conjreg - Set of rules(complex) final

conjTrn - Set of train data

conjTst - Set of test data

muestPorClaseTrain - int[] Number of examples of each class in train set

muestPorClaseTest - int[] Number of examples of each class in train test

valorNombreClases - String[] Labels for each class

Method Detail

getAccuracyTrain

public double getAccuracyTrain()

Returns the accuracy for the training dataset.

Returns:

the accuracy for the training dataset.

getAccuracyTest

public double getAccuracyTest()

Returns the accuracy for the test dataset.

Returns:

the accuracy for the test dataset.

printString

public java.lang.String printString()

Prints on a string the statistical(for test)

Returns:

the statisticals

salida

public java.lang.String salida(ConjDatos datos,
                               boolean train)

Generates a string with the out-put lists

Parameters:

datos - Set of data witch to compare the set of rules

Returns:

A list of pairs: 'original class;calculated class;'