Question: Please help solve this problem, I've tried this for hours but cant seem to get it. Use the given data to classify the record below

Please help solve this problem, I've tried this for hours but cant seem to get it.

Please help solve this problem, I've tried thisPlease help solve this problem, I've tried this

Use the given data to classify the record below using the k-NN algorithm for k=1 to 5. Loan Purpose Repairs Checking Savings 900 Months Months Customer Employed 25 4 0 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 Distance Classification 1 2 7 3 7 4 5 (Round to four decimal places as needed.) Loan Purpose New Car Business Used Car Small Appliance New Car Small Appliance New Car New Car New Car Business Furniture New Car Business Small Appliance Small Appliance Small Appliance Furniture New Car Small Appliance Furniture Used Car Business Business Education Small Appliance Small Appliance New Car Small Appliance Small Appliance Small Appliance Business Furniture Furniture Small Appliance New Car Repairs Used Car Small Appliance Furniture Furniture Furniture Small Appliance New Car Small Appliance New Car Used Car Education Business Furniture New Car Checking 708 141 0 0 0 265 0 0 580 758 0 0 522 0 829 0 192 0 0 468 7885 0 172 522 895 0 0 0 483 887 0 0 0 0 0 271 271 0 0 0 0 17366 332 242 0 0 0 670 0 0 Savings 683 245 0 485 128 947 659 667 0 2665 8357 806 194 710 583 12242 199 509 861 14186 6330 750 0 385 243 418 771 208 415 519 800 836 142 6628 750 759 7090 596 154 941 Months Months Customer Employed 13 33 22 33 19 58 19 12 13 74 25 5 19 5 29 10 11 8 13 31 25 5 19 3 25 79 25 1 7 18 25 53 25 5 16 3 13 111 22 24 16 14 37 2 25 36 10 66 13 4 19 4 25 0 13 23 19 6 7 42 49 2 16 4 7 53 37 65 13 14 19 0 25 2 13 67 37 2 13 111 37 31 16 21 25 2 19 6 49 62 49 73 41 24 31 21 31 53 25 103 Credit Risk Low Low High Low High High High High High Low High High High Low Low High High Low High Low Low High Low Low High Low High Low High Low High Low Low Low High Low High Low High Low Low High Low Low High High High High High High 12721 omo 862 396 497 4014 0 Use the given data to classify the record below using the k-NN algorithm for k=1 to 5. Loan Purpose Repairs Checking Savings 900 Months Months Customer Employed 25 4 0 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 Distance Classification 1 2 7 3 7 4 5 (Round to four decimal places as needed.) Loan Purpose New Car Business Used Car Small Appliance New Car Small Appliance New Car New Car New Car Business Furniture New Car Business Small Appliance Small Appliance Small Appliance Furniture New Car Small Appliance Furniture Used Car Business Business Education Small Appliance Small Appliance New Car Small Appliance Small Appliance Small Appliance Business Furniture Furniture Small Appliance New Car Repairs Used Car Small Appliance Furniture Furniture Furniture Small Appliance New Car Small Appliance New Car Used Car Education Business Furniture New Car Checking 708 141 0 0 0 265 0 0 580 758 0 0 522 0 829 0 192 0 0 468 7885 0 172 522 895 0 0 0 483 887 0 0 0 0 0 271 271 0 0 0 0 17366 332 242 0 0 0 670 0 0 Savings 683 245 0 485 128 947 659 667 0 2665 8357 806 194 710 583 12242 199 509 861 14186 6330 750 0 385 243 418 771 208 415 519 800 836 142 6628 750 759 7090 596 154 941 Months Months Customer Employed 13 33 22 33 19 58 19 12 13 74 25 5 19 5 29 10 11 8 13 31 25 5 19 3 25 79 25 1 7 18 25 53 25 5 16 3 13 111 22 24 16 14 37 2 25 36 10 66 13 4 19 4 25 0 13 23 19 6 7 42 49 2 16 4 7 53 37 65 13 14 19 0 25 2 13 67 37 2 13 111 37 31 16 21 25 2 19 6 49 62 49 73 41 24 31 21 31 53 25 103 Credit Risk Low Low High Low High High High High High Low High High High Low Low High High Low High Low Low High Low Low High Low High Low High Low High Low Low Low High Low High Low High Low Low High Low Low High High High High High High 12721 omo 862 396 497 4014 0

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