The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

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The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

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ROC and AUC with a Binary Predictor: a Potentially Misleading Metric

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Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines

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Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: A discussion and proposal for an alternative approach

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A Comparison of MCC and CEN Error Measures in Multi-Class Prediction

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