| Name | Description | Type | Package | Framework |
| AccuracyEvaluator | Accuracy of a clustering is (truePositive + trueNegative) / (numberPairwiseComparisons)Constructor SummaryAccuracyEvaluator() | Class | cc.mallet.cluster.evaluate | Mallet |
| BCubedEvaluator | Evaluate a Clustering using the B-Cubed evaluation metric. | Class | cc.mallet.cluster.evaluate | Mallet |
| ClusteringEvaluator | Evaluates a predicted Clustering against a true Clustering. | Class | cc.mallet.cluster.evaluate | Mallet |
| ClusteringEvaluators | A list of ClusteringEvaluators. | Class | cc.mallet.cluster.evaluate | Mallet |
| MUCEvaluator | Evaluate a Clustering using the MUC evaluation metric. | Class | cc.mallet.cluster.evaluate | Mallet |
| PairF1Evaluator | Evaluates two clustering using pairwise comparisons. | Class | cc.mallet.cluster.evaluate | Mallet |
| TestClusteringEvaluators | Examples drawn from Luo, "On Coreference Resolution Performance Metrics", HLT 2005. | Class | cc.mallet.cluster.evaluate.tests | Mallet |