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();