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3. The following table is a segment of Loan Data from a bank for car loans. Compute the matching coefficient between pairs 1 and 4. Line Term Sex 1 F 2 60 60 36 int.cate annat 3.58% 35000 4.00% 15350 6.71% 12500 6.07% 15350 F M 3 4 60 F A. Matching coefficient is 0.50 B. Matching coefficient is 0.25 C. Matching coefficient is 0.75 D. Matching coefficient is 0.40 4. Sandra began collecting transaction details to see if the same items were in each sales transaction. Compute the matching coefficient and Jaccard's coefficient for pairwise transaction 1 & 2. + Transaction Tea Muffin Coffee Yes Cookie Yes 1 Scone Yes Yes No Yes No No 2 Yes NO A. Matching Coefficient = 0.60 and Jaccard's = 0.40 B. Matching Coefficient = 0.40 and Jaccard's = 0.50 C. Matching Coefficient = 0.60 and Jaccard's = 0.50 D. Matching Coefficient = 0.40 and Jaccard's = 0.40 5. Based on the following confusion matrix with a validation set of 100, class 1 reflects the members targeted who purchased services and class 0 reflects the non-targeted respondents who did not purchase services. Calculate the specificity rate. Actual Class Class 1 class o Predicted Class 1 18 Predicted class o 11 60 11 A. 62% B. 78% C. 84% D. 84.5%