autoweka

## Interface ClassifierResult.Metric

- All Known Implementing Classes:
    ClassifierResult.AreaAboveROCMetric, ClassifierResult.AreaUnderROCMetric, ClassifierResult.AvgCostMetric, ClassifierResult.CorrectMetric, ClassifierResult.CorrelationCoefficientMetric, ClassifierResult.ErrorRateMetric, ClassifierResult.FalseNegativeRateMetric, ClassifierResult.FalsePositiveRateMetric, ClassifierResult.FMeasureMetric, ClassifierResult.IncorrectMetric, ClassifierResult.KappaMetric, ClassifierResult.KBInformationMetric, ClassifierResult.KBMeanInformationMetric, ClassifierResult.KBRelativeInformationMetric, ClassifierResult.MeanAbsoluteErrorMetric, ClassifierResult.PctCorrectMetric, ClassifierResult.PctIncorrectMetric, ClassifierResult.PrecisionMetric, ClassifierResult.RelativeAbsoluteErrorMetric, ClassifierResult.RootMeanSquaredErrorMetric, ClassifierResult.RootRelativeSquaredErrorMetric, ClassifierResult.WeightedAreaUnderROCMetric, ClassifierResult.WeightedFalseNegativeRateMetric, ClassifierResult.WeightedFalsePositiveRateMetric, ClassifierResult.WeightedFMeasureMetric, ClassifierResult.WeightedPrecisionMetric, ClassifierResult.WeightedRecallMetric, ClassifierResult.WeightedTrueNegativeRateMetric, ClassifierResult.WeightedTruePositiveRateMetric
  Enclosing class:
    ClassifierResult

      public static interface ClassifierResult.Metric

  Generic interface for different Metrics You can define custom metrics and use them by using their full class name

- - ### Method Summary

    All Methods Instance Methods Abstract Methods
    Modifier and Type | Method and Description
    --- | ---
    `double` | `getDefault()`
    `double` | `getScore(weka.classifiers.Evaluation eval, weka.core.Instances testingData)`

- - ### Method Detail

    - #### getDefault

          double getDefault()

    - #### getScore

          double getScore(weka.classifiers.Evaluation eval,
                          weka.core.Instances testingData)