The confusion matrix is designed to show how accurate the model is and to understand the differences between the model predictions and the actual truth. It sorts each record into one of four quadrants and illustrates the differences and similarities between a predicted value and an actual value, quickly illustrating where the predictions were aligned with the actual truth and where they diverge.
