List of weightedFMeasure() Examples

Examples of weightedFMeasure()

weka.classifiers.Evaluation.weightedFMeasure()
Calculates the macro weighted (by class size) average F-Measure. @return the weighted F-Measure.

Examples of weka.classifiers.Evaluation.weightedFMeasure()

    result[current++] = new Double(eval.weightedFalsePositiveRate());
    result[current++] = new Double(eval.weightedTrueNegativeRate());
    result[current++] = new Double(eval.weightedFalseNegativeRate());
    result[current++] = new Double(eval.weightedPrecision());
    result[current++] = new Double(eval.weightedRecall());
    result[current++] = new Double(eval.weightedFMeasure());
    result[current++] = new Double(eval.weightedAreaUnderROC());
    
    // Unweighted IR stats
    result[current++] = new Double(eval.unweightedMacroFmeasure());
    result[current++] = new Double(eval.unweightedMicroFmeasure());

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Examples of weka.classifiers.Evaluation.weightedFMeasure()

    result[current++] = new Double(eval.weightedFalsePositiveRate());
    result[current++] = new Double(eval.weightedTrueNegativeRate());
    result[current++] = new Double(eval.weightedFalseNegativeRate());
    result[current++] = new Double(eval.weightedPrecision());
    result[current++] = new Double(eval.weightedRecall());
    result[current++] = new Double(eval.weightedFMeasure());
    result[current++] = new Double(eval.weightedAreaUnderROC());
    
    // Timing stats
    result[current++] = new Double(trainTimeElapsed / 1000.0);
    result[current++] = new Double(testTimeElapsed / 1000.0);

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Examples of weka.classifiers.Evaluation.weightedFMeasure()

    result[current++] = new Double(eval.weightedFalsePositiveRate());
    result[current++] = new Double(eval.weightedTrueNegativeRate());
    result[current++] = new Double(eval.weightedFalseNegativeRate());
    result[current++] = new Double(eval.weightedPrecision());
    result[current++] = new Double(eval.weightedRecall());
    result[current++] = new Double(eval.weightedFMeasure());
    result[current++] = new Double(eval.weightedAreaUnderROC());
    
    // Unweighted IR stats
    result[current++] = new Double(eval.unweightedMacroFmeasure());
    result[current++] = new Double(eval.unweightedMicroFmeasure());

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