Matthews Correlation Coefficient is another measure of how good a model is. The score ranges from -1 to 1, where 1 would mean that the model predicted every sample correctly. = ((True Positives * True Negatives) - (False Positives * False Negatives))/ [(TP + FP) * (FN + TN) * (FP + TN) * (TP + FN)]^(1/2).