Weka Classifier Setting - Java Machine Learning AI

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Description

Weka Classifier Setting

Demo Code



import java.io.File;

import weka.classifiers.evaluation.Evaluation;
import weka.classifiers.trees.J48;
import weka.core.Debug.Random;
import weka.core.Instances;
import weka.core.Utils;
import weka.core.converters.ArffLoader;
import weka.core.converters.ConverterUtils.DataSource;

public class WekaClassifierSetting {
    public static void main(String[] args) throws Exception {
        File inputFile = new File(
                "bank-train.arff");
        atf.setFile(inputFile);/*from   w ww. j  av  a2 s. c  o  m*/
        Instances instancesTrain = atf.getDataSet(); 
                "bank-test.arff");
        Instances instancesTest = source.getDataSet(); 
        instancesTest.setClassIndex(instancesTest.numAttributes() - 1);

        String[] options = Utils.splitOptions("-C 0.25 -M 2");
        classifier.setOptions(options);

        classifier.buildClassifier(instancesTrain);

        Evaluation eval = new Evaluation(instancesTrain);
        eval.crossValidateModel(classifier, instancesTrain, 10, new Random(
                1));
        System.out.println(eval.errorRate());

    }
}

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