Weka - How to print misclassified instances

Question

My weka output shows:

Correctly Classified Instances       32083               94.0244 %
Incorrectly Classified Instances      2039                5.9756 %

I want to be able to print out what was wrong, so I can make adjustments and understand why they were incorrectly classified.

my printing method is below.
I am trying to find instances whose predicted class value was not equal to the actual value of the class, and then print its attributes.
but when I do this, listing the attributes does not print anything.

Does anyone have a suggestion on how to print inconsistent copies?

Many thanks.

private void printSummary(Classifier base, Evaluation eval, Instances data) throws Exception
{
    // output evaluation
    System.out.println();
    System.out.println("=== Setup ===");
    System.out.println("Classifier: " + classifierName.getClass().getName() + " " + Utils.joinOptions(base.getOptions()));
    System.out.println("Dataset: " + data.relationName());
    System.out.println();

    // output predictions
    System.out.println("# - actual - predicted - error - distribution - token");
    for (int i = 0; i < data.numInstances(); i++) 
    {
        double pred = base.classifyInstance(data.instance(i));
        double actual = data.instance(i).classValue();
        double[] dist = base.distributionForInstance(data.instance(i));

        if (pred != actual)
        {
            System.out.print((i+1));
            System.out.print(" - ");
            System.out.print(data.instance(i).toString(data.classIndex()));
            System.out.print(" - ");
            System.out.print(data.classAttribute().value((int) pred));
            System.out.print(" - ");
            if (pred != data.instance(i).classValue())
                System.out.print("yes");
            else
                System.out.print("no");
            System.out.print(" - ");
            System.out.print(Utils.arrayToString(dist));
            System.out.print(" - ");
            data.instance(i).enumerateAttributes().toString();
            System.out.println();
        }
    }

    System.out.println(eval.toSummaryString());
    System.out.println(eval.toClassDetailsString());
    System.out.println(eval.toMatrixString());
}

Answer 1

I do like this:

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Answer 2

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, , , ArrayList .

Prediction , , .

:

ArrayList<Prediction> predictions = evaluation.predictions();
for (int i = 0, trainDataSize = trainData.size(); i < trainDataSize; i++) {
        Instance instance = trainData.get(i);
        Prediction prediction = predictions.get(i);

        if (prediction.actual() != prediction.predicted()) {

            System.out.println(instance);;

        }

    }

, -.