Our evaluation relies on the Matthews correlation coefficient (MCC, also known as the φcoefficient) (Matthews, 1975) to avoid the bias of accuracy due to data skew, and to produce a robust summary score independent of whether the positive class is skewed to the majority or minority.
to f-measure, which is a classspecific weighted average of precision and recall, and whose weighted version depends on a choice of whether the class-specific weights should come from the training or testing data, MCC is a single summary value that incorporates all 4 cells of a 2 × 2 confusion matrix (TP, FP, TN and FN for True or False Positive or Negative).