In [[Association Rules|association rules]], Zhang's metric is a [[Error Metrics|metric]] that measures both association and dissociation. It is computed using the [[Leverage of an Association Rule|leverage]] and [[Support of an Item Set|support]] as: $ \text{zhangs metric}(A \rightarrow C) = \frac{ \text{leverage}(A \rightarrow C) }{ \max \begin{cases} \text{support}(A \rightarrow C) \times (1 - \text{support}(A)), \\ \text{support}(A) \times (\text{support}(C) - \text{support}(A \rightarrow C)) \end{cases} } $ Lies within the $[-1,1]$ interval, and a positive value indicates association while a negative value indicate dissociation.