adjusted_rand_score

cuml.metrics.cluster.adjusted_rand_score(labels_true, labels_pred, convert_dtype=True) → float

Adjusted_rand_score is a clustering similarity metric based on the Rand index and is corrected for chance.

Parameters:

labels_trueGround truth labels to be used as a reference

labels_predArray of predicted labels used to evaluate the model

Returns:

float

The adjusted rand index value between -1.0 and 1.0