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Completeness#

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

Example#

use Rubix\ML\CrossValidation\Metrics\Completeness;

$metric = new Completeness();