Phi coefficient
Statistical measure of association for two binary variables / From Wikipedia, the free encyclopedia
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In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or rφ) is a measure of association for two binary variables.
In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.[1]
Introduced by Karl Pearson,[2] and also known as the Yule phi coefficient from its introduction by Udny Yule in 1912[3] this measure is similar to the Pearson correlation coefficient in its interpretation.