The logistic regression model is a powerful technique. For a practitioner, it possesses some difficulties in terms of the p-values, the threshold values of prediction, and so on. The decision rules provide a simple framework wherein the practitioner should simply look up at certain variables and the values to arrive at a decision. For instance, if a customer calls up a bank help desk and tries to find out whether they are eligible for a loan, the call center employee asks for some details such as age, income, gender, existing loans, and so on, and tells them whether they are eligible for the loan. Generally, such a decision is arrived at using sets of decision rules. Similarly, if an emergency patient is on the way to hospital with suspicion of heart related problems, a simple set of rules might help in deciding whether it is a gastric problem or an attack and in the latter case, the hospital can begin the necessary preparations as every single minute would prove...