DataMiningLogHistoriKIRIPercobaan2.DecisionTree.java Source code

Introduction

Here is the source code for DataMiningLogHistoriKIRIPercobaan2.DecisionTree.java

Source

/*
 * To change this license header, choose License Headers in Project Properties.
 * To change this template file, choose Tools | Templates
 * and open the template in the editor.
 */

package DataMiningLogHistoriKIRIPercobaan2;

import java.util.logging.Level;
import java.util.logging.Logger;
import weka.classifiers.Classifier;
import weka.classifiers.trees.Id3;
import weka.classifiers.trees.J48;
import weka.core.Instances;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.NumericToNominal;

/**
 *
 * @author Jovan Gunawan
 */
public class DecisionTree {
    private Classifier tree;

    public double calculateConfiden(Instances arff) {
        // mengecek confiden
        int nilaiBenar = 0, resultInt;
        float result = 0;
        for (int i = 0; i < arff.numInstances(); i++) {
            try {
                result = (float) tree.classifyInstance(arff.instance(i));
                resultInt = Math.round(result);
                if (resultInt == Integer.parseInt(arff.instance(i).stringValue(6))) {
                    nilaiBenar++;
                }
            } catch (Exception ex) {
                Logger.getLogger(Controller.class.getName()).log(Level.SEVERE, null, ex);
            }
        }
        double confident = nilaiBenar * 1.0 / arff.numInstances() * 100;
        return confident;
    }

    public String id3(Instances arff) {
        tree = new Id3();
        try {
            NumericToNominal convert = new NumericToNominal();
            String[] options = new String[2];
            options[0] = "-R";
            options[1] = "1-4";

            convert.setOptions(options);
            convert.setInputFormat(arff);

            Instances newData = Filter.useFilter(arff, convert);

            tree.buildClassifier(newData);
        } catch (Exception ex) {
            Logger.getLogger(Controller.class.getName()).log(Level.SEVERE, null, ex);
        }

        return tree.toString();
    }

    public String j48(Instances arff) {
        tree = new J48();
        try {
            tree.buildClassifier(arff);
        } catch (Exception ex) {
            Logger.getLogger(Controller.class.getName()).log(Level.SEVERE, null, ex);
        }

        return tree.toString();
    }
}