Package elki.evaluation.outlier

Evaluate an outlier score using a misclassification based cost model.

Class Summary

Class	Description
ComputeOutlierHistogram	Compute a Histogram to evaluate a ranking algorithm.
ComputeOutlierHistogram.Par	Parameterization class.
JudgeOutlierScores	Compute a Histogram to evaluate a ranking algorithm.
JudgeOutlierScores.Par	Parameterization class.
JudgeOutlierScores.ScoreResult	Result object for outlier score judgements.
OutlierPrecisionAtKCurve	Compute a curve containing the precision values for an outlier detection method.
OutlierPrecisionAtKCurve.Par	Parameterization class.
OutlierPrecisionAtKCurve.PrecisionAtKCurve	Precision at K curve.
OutlierPrecisionRecallCurve	Compute a curve containing the precision values for an outlier detection method.
OutlierPrecisionRecallCurve.Par	Parameterization class.
OutlierPrecisionRecallGainCurve	Compute a curve containing the precision gain and revall gain values for an outlier detection method.
OutlierPrecisionRecallGainCurve.Par	Parameterization class.
OutlierRankingEvaluation	Evaluate outlier scores by their ranking
OutlierRankingEvaluation.Par	Parameterization class.
OutlierROCCurve	Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding AUROC value.
OutlierROCCurve.Par	Parameterization class.
OutlierSmROCCurve	Smooth ROC curves are a variation of classic ROC curves that takes the scores into account.
OutlierSmROCCurve.Par	Parameterization class.
OutlierSmROCCurve.SmROCResult	Result object for Smooth ROC curves.