 The Matthews correlation coefficient, MCC, is a more reliable statistical measure for evaluating binary classifications than accuracy and F1 score, as it takes into account the proportion of positive and negative elements in the dataset and produces a high score only if the prediction performs well in all for confusion matrix categories. This article was authored by Davide Cicco and Giuseppe German.