Consider the following customer: age = 40, experience = 10, income = 84, family = 2, baby = 2, education _1 = 0, education _2 = 1, education _3 = 0, mortgage = 0, securities account = 0, cd account = 0, online = 1, and credit card = 1. perform a k-nn classification with all predictors except id and zip code using k = 1. remember to transform categorical predictors with more than two categories into dummy variables first. specify the success class as 1 (loan acceptance), and use the default cutoff value of 0.5. how would this customer be classified