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The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

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To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the experiment they are investigating. Despite being a crucial issue in machine learning, no widespread consensus has been reached on a unified elective chosen measure yet. |

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