| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.evaluation.clustering | 
 Evaluation of clustering results 
 | 
| de.lmu.ifi.dbs.elki.evaluation.scores | 
 Evaluation of rankings and scorings 
 | 
| de.lmu.ifi.dbs.elki.evaluation.scores.adapter | 
 Adapter classes for ranking and scoring measures. 
 | 
| de.lmu.ifi.dbs.elki.result.outlier | 
 Outlier result classes 
 | 
| Class and Description | 
|---|
| ScoreEvaluation
 Compute ranking/scoring based evaluation measures. 
 | 
| Class and Description | 
|---|
| AveragePrecisionEvaluation
 Evaluate using average precision. 
 | 
| DCGEvaluation
 Discounted Cumulative Gain. 
 | 
| MaximumF1Evaluation
 Evaluate using the maximum F1 score. 
 | 
| NDCGEvaluation
 Normalized Discounted Cumulative Gain. 
 | 
| PrecisionAtKEvaluation
 Evaluate using Precision@k, or R-precision (when  
k=0). | 
| ROCEvaluation
 Compute ROC (Receiver Operating Characteristics) curves. 
 | 
| ScoreEvaluation
 Compute ranking/scoring based evaluation measures. 
 | 
| ScoreEvaluation.Predicate
 Predicate to test whether an object is a true positive or false positive. 
 | 
| ScoreEvaluation.ScoreIter
 Iterator for comparing scores. 
 | 
| Class and Description | 
|---|
| ScoreEvaluation.Predicate
 Predicate to test whether an object is a true positive or false positive. 
 | 
| ScoreEvaluation.ScoreIter
 Iterator for comparing scores. 
 | 
| Class and Description | 
|---|
| ScoreEvaluation
 Compute ranking/scoring based evaluation measures. 
 | 
Copyright © 2019 ELKI Development Team. License information.