| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
|
| de.lmu.ifi.dbs.elki.evaluation.roc |
Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
|
| Class and Description |
|---|
| JudgeOutlierScores
Compute a Histogram to evaluate a ranking algorithm.
|
| JudgeOutlierScores.ScoreResult
Result object for outlier score judgements.
|
| OutlierPrecisionAtKCurve
Compute a curve containing the precision values for an outlier detection
method.
|
| OutlierPrecisionRecallCurve
Compute a curve containing the precision values for an outlier detection
method.
|
| OutlierROCCurve
Compute a ROC curve to evaluate a ranking algorithm and compute the
corresponding ROCAUC value.
|
| 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.SmROCResult
Result object for Smooth ROC curves.
|
| OutlierThresholdClustering
Pseudo clustering algorithm that builds clusters based on their outlier
score.
|
| Class and Description |
|---|
| OutlierROCCurve
Compute a ROC curve to evaluate a ranking algorithm and compute the
corresponding ROCAUC value.
|