Matthew's correlation coefficient, also known as the Matthew's correlation coefficient (MCC), is a measure of the quality of binary classifications. It takes into account true positives, true negatives, false positives, and false negatives, providing a balanced view of a classifier's performance, especially in cases of imbalanced datasets. This makes it particularly valuable in evaluating models used for predicting protein functions based on various biological data.
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