Question: Use the given data to classify the record below using the k-NN algorithm for k= 1 to 5. O Loan Purpose Education Checking 680 Savings

Use the given data to classify the record below

Use the given data to classify the record below

Use the given data to classify the record below

Use the given data to classify the record below using the k-NN algorithm for k= 1 to 5. O Loan Purpose Education Checking 680 Savings 600 Months Customer 50 Months Employed 18 Click the icon to view the table of classified records. Complete the table below for the nearest neighbors and for the classification of the new record for each value of k. k Classification Distance . 1 2 3 4 V 5 (Round to four decimal places as needed.) Checking 638 2827 0 237 0 Savings 347 0 3305 236 162 660 595 0 0 162 0 580 0 0 0 : 0 626 104 637 492 127 650 305 0 13496 893 0 897 Loan Purpose Furniture Furniture New Car Small Appliance Furniture New Car New Car Education New Car Repairs Used Car New Car Furniture 5 Education 6 Furniture Small Appliance 3 Repairs e Furniture New Car 1 New Car e Furniture 3 New Car Small Appliance 6 Business s New Car - Small Appliance 3 New Car New Car Furniture 1 Small Appliance e Education Business Used Car 6 Business New Car - Small Appliance 3 New Car Small Appliance New Car 1 New Car 0 192 942 3329 0 199 3036 0 Months Customer Months Employed Credit Risk 13 14 High 11 13 Low 11 15 Low 37 24 Low 25 1 High 17 75 High 22 10 Low 37 114 High 11 8 High 43 O Low 37 25 High 13 21 High 19 1 Low 13 22 High 19 20 High 16 94 Low 19 2 High 25 5 High 25 36 Low 19 15 High 19 2 Low 22 96 Low 7 100 Low 22 4 High 37 20 High 14 O Low 25 o High 13 24 High 22 41 Low 5 35 Low 22 4 High 49 21 High 31 89 Low 25 18 High 25 52 High 37 65 Low 11 34 Low 73 15 High 19 90 High 19 13 High TO 0 734 0 0 0 948 886 348 5180 605 3529 771 9125 636 364 136 DOO 0 8122 778 0 0 0 0 861 859 11481 108 6628 857 3326 483 541 0 298 0 0 Checking Savings U bbu 595 0 0 626 104 637 492 127 650 0 162 0 580 0 0 0 305 0 13496 893 0 192 942 3329 0 0 734 0 0 0 0 1 Loan Purpose 7 New Car B New Car 9 Education 0 New Car 1 Repairs -2 Used Car -3 New Car 4 Furniture 5 Education 6 Furniture -7 Small Appliance -8 Repairs 9 Furniture CO New Car 1 New Car 2 Furniture 3 New Car -4 Small Appliance 5 Business 26 New Car E7 Small Appliance 8 New Car 9 New Car O Furniture 1 Small Appliance 2 Education 3 Business 4 Used Car 5 Business 6 New Car =7 Small Appliance 8 New Car =9 Small Appliance 0 New Car 1 New Car 2 Furniture 3 Small Appliance 4 Small Appliance 5 Small Appliance 6 Small Appliance 7 Used Car 8 Used Car 9 New Car - Used Car 1 Small Appliance Months Customer Months Employed Credit Risk 17 75 High 22 10 Low 37 114 High 11 8 High 43 O Low 37 25 High 13 21 High 19 1 Low 13 22 High 19 20 High 16 94 Low 19 2 High 25 5 High 25 36 Low 19 15 High 19 2 Low 22 96 Low 7 100 Low 22 4 High 37 20 High 14 O Low 25 o High 13 24 High 22 41 Low 5 35 Low 22 4 High 49 21 High 31 89 Low 25 18 High 25 52 High 37 65 Low 11 34 Low 73 15 High 19 90 High 19 13 High 25 114 Low 11 21 Low 10 30 High 13 14 Low 19 6 Low 37 41 Low 13 23 Low 25 92 High 37 69 Low 10 24 Low 897 199 3036 0 948 886 348 5180 605 3529 771 9125 636 364 136 861 859 11481 108 6628 857 3326 483 541 7710 959 302 0 0 0 8122 778 0 0 0 0 00 OC 0 298 0 0 0 0 0 0 0 2846 242 2472 819 0 0 765 0 0 761 674 10406

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