Example usage for weka.classifiers Evaluation coverageOfTestCasesByPredictedRegions

Introduction

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

Prototype

public final double coverageOfTestCasesByPredictedRegions() 

Source Link

Document

Gets the coverage of the test cases by the predicted regions at the confidence level specified when evaluation was performed.

Usage

From source file:net.sf.jclal.evaluation.measure.SingleLabelEvaluation.java

License:Open Source License

/**
 *
 * @param evaluation The evaluation//from   www  .j  a  v  a 2  s  . c o  m
 */
public void setEvaluation(Evaluation evaluation) {

    try {
        this.evaluation = evaluation;
        StringBuilder st = new StringBuilder();

        st.append("Iteration: ").append(getIteration()).append("\n");
        st.append("Labeled set size: ").append(getLabeledSetSize()).append("\n");
        st.append("Unlabelled set size: ").append(getUnlabeledSetSize()).append("\n");
        st.append("\t\n");

        st.append("Correctly Classified Instances: ").append(evaluation.pctCorrect()).append("\n");
        st.append("Incorrectly Classified Instances: ").append(evaluation.pctIncorrect()).append("\n");
        st.append("Kappa statistic: ").append(evaluation.kappa()).append("\n");
        st.append("Mean absolute error: ").append(evaluation.meanAbsoluteError()).append("\n");
        st.append("Root mean squared error: ").append(evaluation.rootMeanSquaredError()).append("\n");

        st.append("Relative absolute error: ").append(evaluation.relativeAbsoluteError()).append("\n");
        st.append("Root relative squared error: ").append(evaluation.rootRelativeSquaredError()).append("\n");
        st.append("Coverage of cases: ").append(evaluation.coverageOfTestCasesByPredictedRegions())
                .append("\n");
        st.append("Mean region size: ").append(evaluation.sizeOfPredictedRegions()).append("\n");

        st.append("Weighted Precision: ").append(evaluation.weightedPrecision()).append("\n");
        st.append("Weighted Recall: ").append(evaluation.weightedRecall()).append("\n");
        st.append("Weighted FMeasure: ").append(evaluation.weightedFMeasure()).append("\n");
        st.append("Weighted TruePositiveRate: ").append(evaluation.weightedTruePositiveRate()).append("\n");
        st.append("Weighted FalsePositiveRate: ").append(evaluation.weightedFalsePositiveRate()).append("\n");
        st.append("Weighted MatthewsCorrelation: ").append(evaluation.weightedMatthewsCorrelation())
                .append("\n");
        st.append("Weighted AreaUnderROC: ").append(evaluation.weightedAreaUnderROC()).append("\n");
        st.append("Weighted AreaUnderPRC: ").append(evaluation.weightedAreaUnderPRC()).append("\n");

        st.append("\t\t\n");

        loadMetrics(st.toString());

    } catch (Exception e) {
        Logger.getLogger(SingleLabelEvaluation.class.getName()).log(Level.SEVERE, null, e);
    }
}

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