Examples of weka.classifiers.trees.J48.buildClassifier()

        dataset.add(createInstance(dataset, "sunny", "true", 75, 70, "yes"));
        dataset.add(createInstance(dataset, "overcast", "true", 72, 90, "yes"));
        dataset.add(createInstance(dataset, "overcast", "false", 81, 75, "yes"));
        dataset.add(createInstance(dataset, "rain", "true", 71, 91, "no"));
        dataset.setClassIndex(4);
        classifier.buildClassifier(dataset);
        System.out.println(classifier);
        
        double result = classifier.classifyInstance(createInstance(dataset, "sunny", "false", 85, 85, Null.getValue()));
        assertEquals(1.0, result, .1);
        result = classifier.classifyInstance(createInstance(dataset, "sunny", "true", 80, 90, Null.getValue()));

    public void testGetPredictedLabels() {
        System.out.println("getPredictedLabels");


        Classifier classifier = new J48();
        try {
            classifier.buildClassifier(instances);
        } catch (Exception e) {
            assertTrue("Classifier could not be trained", false);
        }


        WekaModel instance = new WekaModel(classifier);

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