Example usage for weka.classifiers.evaluation Evaluation evaluateModelOnceAndRecordPrediction

Introduction

In this page you can find the example usage for weka.classifiers.evaluation Evaluation evaluateModelOnceAndRecordPrediction.

Prototype

public double evaluateModelOnceAndRecordPrediction(double[] dist, Instance instance) throws Exception 

Source Link

Document

Evaluates the supplied distribution on a single instance.

Usage

From source file:cyber009.udal.functions.StatisticalAnalysis.java

/**
 * /*from w  w w . j a  v  a 2  s. c o m*/
 * @param classifier
 * @param trainingDataSet
 * @param unLabelSet
 * @param classTarget
 * @return 
 */
public double posteriorDistribution(Classifier classifier, Instances trainingDataSet, Instance unLabelSet,
        double classTarget) {
    double prDistribution = 0.0D;
    double classPradic = 0.0D;
    Evaluation evaluation = null;
    try {
        evaluation = new Evaluation(trainingDataSet);
        evaluation.evaluateModelOnceAndRecordPrediction(classifier, unLabelSet);
        //evaluation.pctCorrect(); // must be show for correctness  ----------------------
        classPradic = evaluation.meanAbsoluteError();
        prDistribution = classPradic * probabilityOfTargerClass(trainingDataSet, classTarget);
        //            System.out.println(classPradic);
    } catch (Exception ex) {
        Logger.getLogger(StatisticalAnalysis.class.getName()).log(Level.SEVERE, null, ex);
    }
    return prDistribution;
}

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