See: Description
| Class | Description |
|---|---|
| JudgeOutlierScores |
Compute a Histogram to evaluate a ranking algorithm.
|
| JudgeOutlierScores.Parameterizer |
Parameterization class.
|
| OutlierPrecisionAtKCurve |
Compute a curve containing the precision values for an outlier detection
method.
|
| OutlierPrecisionAtKCurve.Parameterizer |
Parameterization class.
|
| OutlierPrecisionAtKCurve.PrecisionAtKCurve |
Precision at K curve.
|
| OutlierPrecisionRecallCurve |
Compute a curve containing the precision values for an outlier detection
method.
|
| OutlierPrecisionRecallCurve.Parameterizer |
Parameterization class.
|
| OutlierPrecisionRecallCurve.PRCurve |
P/R Curve
|
| OutlierROCCurve |
Compute a ROC curve to evaluate a ranking algorithm and compute the
corresponding ROCAUC value.
|
| OutlierROCCurve.Parameterizer |
Parameterization class.
|
| OutlierROCCurve.ROCResult |
Result object for ROC curves.
|
| OutlierSmROCCurve |
Smooth ROC curves are a variation of classic ROC curves that takes the scores
into account.
|
| OutlierSmROCCurve.Parameterizer |
Parameterization class.
|
| OutlierSmROCCurve.SmROCResult |
Result object for Smooth ROC curves.
|
| OutlierThresholdClustering |
Pseudo clustering algorithm that builds clusters based on their outlier
score.
|
| OutlierThresholdClustering.Parameterizer |
Parameterization helper
|
Evaluate an outlier score using a misclassification based cost model.