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.
OutlierThresholdClustering	Pseudo clustering algorithm that builds clusters based on their outlier score.
OutlierThresholdClustering.Par	Parameterization helper