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 |
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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.