prismcrossvalidation.Classifier.java Source code

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Here is the source code for prismcrossvalidation.Classifier.java

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/*
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package prismcrossvalidation;

import java.io.FileNotFoundException;
import java.io.IOException;
import java.util.Random;
import static prismcrossvalidation.Classifier.fold;
import weka.classifiers.Evaluation;
import weka.classifiers.meta.FilteredClassifier;
import weka.classifiers.rules.Prism;
import weka.core.Instances;
import weka.filters.supervised.attribute.Discretize;

/**
 * Klasa implementujaca klasyfikator PRISM
 * @author si
 */
public class Classifier {
    public static int fold = 10;

    static public String crossValidationPRISM_DISCRET() throws FileNotFoundException, IOException, Exception {
        String prismResult = "";
        String source = MainWindow.pathChooseField.getText();
        Instances data = DataLoad.loadData(source.replace("\\", "/"));

        data.setClassIndex(data.numAttributes() - 1);

        Discretize filter = new Discretize();
        Prism rules = new Prism();

        FilteredClassifier fClassifier = new FilteredClassifier();
        fClassifier.setFilter(filter); //Ustawienie aktualnego filtra
        fClassifier.setClassifier(rules); //Ustawienie aktualnego klasyfikatora

        Evaluation eval = new MyEvaluation(data);
        eval.crossValidateModel(fClassifier, data, fold, new Random(1)); //CV dla 10 foldow

        System.out.println("amount of folds: " + fold);
        MainWindow.logArea.append("Amount of folds: " + fold);

        System.out.println(eval.toSummaryString("Wyniki:", false));
        MainWindow.logArea.append(eval.toSummaryString("Wyniki:", false));

        return prismResult = eval.toSummaryString("Wyniki:", false);
    }
}