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 |