High Quality Content by WIKIPEDIA articles! The Matthews correlation coefficient is used in machine learning as a measure of the quality of binary (two-class) classifications. It takes into account true and false positives and negatives and is generally regarded as a balanced measure which can be used even if the classes are of very different sizes. The MCC is in essence a correlation coefficient between the observed and predicted binary classifications; it returns a value between ?1 and +1. A coefficient of +1 represents a perfect prediction, 0 an average random prediction and ?1 an inverse prediction. The statistic is also known as the phi coefficient. MCC is related to the chi-square statistic for a 2?2 contingency table Данное издание представляет собой компиляцию сведений, находящихся в свободном доступе в среде Интернет в целом, и в информационном сетевом ресурсе "Википедия" в частности. Собранная по частотным запросам указанной тематики, данная компиляция построена по принципу...

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