weka.classifiers.immune.clonalg.CSCATest Maven / Gradle / Ivy
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/*
* 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 3 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, see .
*/
package weka.classifiers.immune.clonalg;
import weka.classifiers.Evaluation;
import weka.core.Instances;
import java.io.FileReader;
import java.util.Random;
/**
* Type: CLONALGTest
* Date: 19/01/2005
*
*
* Description:
*
* @author Jason Brownlee
*/
public class CSCATest {
public static void main(String[] args) {
try {
// String filename = "data/diabetes.arff";
// String filename = "data/sonar.arff";
// String filename = "data/iris.arff";
// String filename = "data/balance-scale.arff";
// String filename = "data/breast-w.arff";
String filename = "data/heart-c.arff";
// prepare dataset
Instances dataset = new Instances(new FileReader(filename));
dataset.setClassIndex(dataset.numAttributes() - 1);
CSCA algorithm = new CSCA();
// evaulate
Evaluation evaluation = new Evaluation(dataset);
evaluation.crossValidateModel(algorithm, dataset, 10, new Random(1));
// print algorithm details
System.out.println(algorithm.toString());
// print stats
System.out.println(evaluation.toSummaryString());
}
catch (Exception e) {
e.printStackTrace();
}
}
}