Using the same admissions data in the file P17_07.xlsx, discretize the GMAT Score and Undergraduate GPA variables according to their quartiles. Then use the naïve Bayes procedure to classify the 100 applicants as Yes or No for admittance. (Remember that classifications can be based on the probabilities themselves, not necessarily their logs.)

Based on these results, consider a new customer: in top 10% of undergraduate class, did not interview with admissions officer, GMAT 580, GPA 3.29. How would you classify this applicant?