Using the same admissions data in the file P14_04.xlsx, discretize the GMAT Score and Undergraduate GPA variables according to their quartiles. Then use the nave 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.) a. How successful is the classification? If needed, round your answers to one decimal digit. Error rate No Yes Total % % % b. 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? Select B F 123 1 Applicant Top Ten 1 1 Interview 1 GMAT Score Undergraduate GPA Admitted 656 3.67 Yes 3 2 1 0 699 3.62 Yes st 4 3 1 1 664 3.63 Yes 5 4 1 1 725 3.70 Yes 6 10 5 1 1 706 3.65 Yes 7 6 1 1 679 3.51 Yes 00 8 7 0 0 659 3.45 Yes 6 8 0 1 685 3.58 Yes 10 9 1 1 673 3.64 Yes 11 10 1 1 649 3.61 Yes 12 11 1 1 675 3.59 Yes 13 12 1 0 693 3.66 Yes 14 13 0 1 637 3.50 Yes 15 14 1 1 713 3.58 Yes 16 15 0 1 672 3.56 Yes 17 16 1 1 718 3.77 Yes 18 17 0 1 702 3.55 Yes 19 18 0 0 668 3.55 Yes 23 25 2222222 20 19 1 0 652 3.54 Yes 21 20 0 0 688 3.46 Yes 21 1 0 696 3.72 Yes 22 1 0 736 3.68 Yes 24 23 0 0 595 3.42 Yes 24 0 0 642 3.53 Yes 26 25 1 1 683 3.80 Yes 27 26 1 1 616 3.47 No 28 27 0 0 542 3.17 No 29 28 1 0 572 3.28 No 30 29 1 1 624 3.54 No 31 30 1 0 611 3.37 No 32 31 1 1 602 3.36 No 33 32 0 0 554 3.21 No 34 33 1 0 626 3.39 No 35 34 1 1 545 3.30 No 36 35 0 0 533 3.18 No 37 36 0 1 537 3.23 No 38 37 0 0 556 3.16 No 39 38 1 1 595 3.32 No 40 39 1 0 599 3.30 No 41 40 1 0 615 3.44 No A1 fx A B C Applicant D E 41 40 1 0 615 42 41 0 0 540 43 42 1 0 580 3.44 No 3.20 No 3.24 No 44 43 1 0 582 3.36 No 45 44 0 0 571 3.20 No 46 45 1 1 574 3.27 No 47 46 0 1 562 3.09 No 48 47 1 0 590 3.38 No 49 48 0 0 559 3.23 No 50 49 0 0 525 3.22 No 51 50 0 1 570 3.22 No 52 51 0 0 570 3.22 No 53 52 0 0 582 3.28 No 54 53 0 0 565 3.15 No 55 54 1 0 568 3.41 No 56 55 0 1 583 3.26 No 57 56 1 0 591 3.45 No 58 57 0 1 578 3.29 No 59 58 1 1 636 3.49 No 60 59 1 0 621 3.42 No 61 60 0 0 548 3.19 No 62 61 1 0 577 3.30 No 63 62 1 1 646 3.40 No 64 63 0 1 588 3.25 No 65 64 0 1 509 3.14 No 66 65 0 0 576 3.07 No 67 66 0 0 601 3.33 No 68 67 0 1 563 3.27 No 69 68 1 0 593 3.35 No 70 69 0 0 588 3.16 No 71 70 1 1 610 3.34 No 72 71 0 1 573 3.19 No 73 72 0 1 532 3.12 No 74 73 0 0 612 3.23 No 75 74 1 1 600 3.31 No 76 75 1 0 597 3.42 No 77 76 1 0 605 3.43 No 78 77 0 1 566 3.27 No 79 78 1 1 564 3.39 No 80 79 1 0 577 3.38 No 81 80 1 1 557 3.24 No F 79 78 1 1 564 3.39 No 80 79 1 C 0 577 3.38 No 81 80 1 1 557 3.24 No 82 81 1 1 585 3.33 No 83 82 0 0 594 3.29 No 84 83 1 0 596 3.36 No 85 84 1 1 561 3.40 No 86 85 1 0 586 3.44 No 87 86 1 0 630 3.34 No 88 87 0 1 555 3.30 No 89 88 1 0 590 3.32 No 90 89 0 0 551 3.31 No 91 90 1 0 585 3.37 No 92 91 0 0 608 3.33 No 93 92 1 0 618 3.35 No 94 93 1 0 567 3.28 No 95 94 1 0 677 3.50 No 96 95 1 0 604 3.29 No 97 96 0 0 552 3.31 No 98 97 1 1 549 3.25 No 99 98 1 1 580 3.34 No 100 99 0 1 517 3.26 No 101 100 1 1 544 3.26 No