ML.EVAL.CLUSTERING.V_MEASURE_SCORE

Returns the V-measure cluster evaluation metric.

Syntax

ML.EVAL.CLUSTERING.V_MEASURE_SCORE(labels_true, labels_pred, beta)

Arguments

Name	Type	Default	Description
labels_true	object		DataFrame or array object of ground-truth cluster labels.
labels_pred	object		DataFrame or array object of predicted cluster labels.
beta	Any	1.0	Weight of recall versus homogeneity. beta > 1 favours homogeneity; beta < 1 favours completeness. Default 1.0 weights them equally.

Examples

Examples coming soon

Working Excel formula examples for this function are not yet written.

See also

• ML.EVAL.CLUSTERING.ADJUSTED_MUTUAL_INFO_SCORE
• ML.EVAL.CLUSTERING.ADJUSTED_RAND_SCORE
• ML.EVAL.CLUSTERING.COMPLETENESS_SCORE
• ML.EVAL.CLUSTERING.FOWLKES_MALLOWS_SCORE
• ML.EVAL.CLUSTERING.HOMOGENEITY_SCORE
• ML.EVAL.CLUSTERING.MUTUAL_INFO_SCORE
• ML.EVAL.CLUSTERING.NORMALIZED_MUTUAL_INFO_SCORE
• ML.EVAL.CLUSTERING.RAND_SCORE
• ML.EVAL.CLUSTERING.SILHOUETTE_SCORE