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

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)