Weka Predict using J48 - Java Machine Learning AI

Java examples for Machine Learning AI:weka

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Description

Weka Predict using J48

Demo Code



import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.IOException;

import weka.classifiers.Classifier;
import weka.classifiers.Evaluation;
import weka.classifiers.trees.J48;
import weka.core.Instances;

public class WekaPredictOtherMethods {

    public static void main(String[] args) throws Exception {
        // TODO Auto-generated method stub

        Instances train = new Instances(
                new BufferedReader(
                        new FileReader(
                                "WekaAPICustomTest\\weather.nominal.arff"))); // from somewhere
        Instances test = new Instances(
                new BufferedReader(
                        new FileReader(
                                "WekaAPICustomTest\\test.arff"))); // from somewhere
        // train classifier
        train.setClassIndex(train.numAttributes() - 1);
        //test.setClassIndex(test.numAttributes() - 1);
        Classifier cls = new J48();
        cls.buildClassifier(train);/*from  w ww .  j  a v  a 2 s .  co  m*/
        Evaluation eval = new Evaluation(train);
        test.setClassIndex(test.numAttributes() - 1);
        System.out.println(eval.toSummaryString("\nResults\n======\n",
                false));
    }

}

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