/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/*
* Copyright (C) 2005 University of Waikato, Hamilton, New Zealand
*/
package weka.filters.unsupervised.instance;
import weka.core.Instances;
import weka.filters.AbstractFilterTest;
import weka.filters.Filter;
import junit.framework.Test;
import junit.framework.TestSuite;
/**
* Tests RemoveMisclassified. Run from the command line with: <p/>
* java weka.filters.unsupervised.instance.RemoveMisclassifiedTest
*
* @author FracPete (fracpete at waikato dot ac dot nz)
* @version $Revision: 1.2 $
*/
public class RemoveMisclassifiedTest
extends AbstractFilterTest {
public RemoveMisclassifiedTest(String name) {
super(name);
}
/** Need to remove non-nominal attributes, set class index */
protected void setUp() throws Exception {
super.setUp();
// class index
m_Instances.setClassIndex(1);
// remove attributes that are not nominal/numeric
int i = 0;
while (i < m_Instances.numAttributes()) {
if ( !m_Instances.attribute(i).isNominal()
&& !m_Instances.attribute(i).isNumeric() )
m_Instances.deleteAttributeAt(i);
else
i++;
}
}
/** Creates a default RemoveMisclassified, suited for nominal class */
public Filter getFilter() {
return getFilter(true);
}
/**
* Creates a RemoveMisclassified, with either J48 (true) or M5P (false)
* as classifier
*/
protected Filter getFilter(boolean nominal) {
RemoveMisclassified f = new RemoveMisclassified();
// classifier
if (nominal)
f.setClassifier(new weka.classifiers.trees.J48());
else
f.setClassifier(new weka.classifiers.trees.M5P());
// threshold
if (!nominal)
f.setThreshold(2.0);
return f;
}
public void testNominal() {
m_Filter = getFilter(true);
m_Instances.setClassIndex(0);
Instances result = useFilter();
assertEquals(m_Instances.numAttributes(), result.numAttributes());
}
public void testNumeric() {
m_Filter = getFilter(false);
m_Instances.setClassIndex(1);
Instances result = useFilter();
assertEquals(m_Instances.numAttributes(), result.numAttributes());
}
public void testInverting() {
// not inverted
m_Filter = getFilter();
m_Instances.setClassIndex(0);
Instances result = useFilter();
// inverted
m_Filter = getFilter();
((RemoveMisclassified) m_Filter).setInvert(true);
m_Instances.setClassIndex(0);
Instances resultInv = useFilter();
assertEquals(
m_Instances.numInstances(),
result.numInstances() + resultInv.numInstances());
}
public static Test suite() {
return new TestSuite(RemoveMisclassifiedTest.class);
}
public static void main(String[] args){
junit.textui.TestRunner.run(suite());
}
}