Binary classification deals with identifying whether elements belong to one of two possible categories. Various metrics exist to evaluate the performance of such classification systems. It is important to study and contrast these metrics to find the best one for assessing a particular system. Despite extensive research in this field, a particular systematic comparison of these evaluation metrics remains an unaddressed area. The performance of a classifier is usually evaluated through the confusion matrix, a table …