A ground-truth clustering metric that measures the ratio of samples in a class that are also members of the same cluster. A cluster is said to be complete when all the samples in a class are contained in a cluster.

Estimator Compatibility: Clusterer

Output Range: 0 to 1


use Rubix\ML\CrossValidation\Metrics\Completeness;

$metric = new Completeness();