se the given data to classify the record below using the k-NN algorithm for k=1 to 5. Loan Purpose Checking Savings Months Customer Months Employed Business 500 800 15 20 Loan Purpose Checking Savings Months Customer Months Employed Credit Risk Business 0 533 14 2 Low Repairs 207 0 28 116 Low Furniture 101 3871 13 5 High Furniture 0 485 37 23 High Business 141 245 22 33 Low Used Car 2484 0 49 46 Low Small Appliance 0 323 49 42 High Used Car 0 109 25 26 Low Furniture 4256 0 16 36 Low Business 870 917 28 6 High New Car 162 595 22 10 Low New Car 0 659 19 5 High New Car 0 1366 19 17 Low Small Appliance 0 552 25 4 High Repairs 0 626 43 0 Low Furniture 828 391 9 12 High Small Appliance 317 10980 13 17 High Education 0 922 37 9 High Repairs 216 262 37 2 High New Car 0 470 13 0 Low New Car 8176 12230 7 5 Low Furniture 468 14186 22 24 Low Small Appliance 0 18716 19 93 Low Used Car 0 14717 28 7 Low New Car 0 0 25 19 High New Car 585 2223 16 0 High New Car 5588 0 22 10 High New Car 0 605 37 20 High Small Appliance 895 243 13 4 High Business 8948 110 31 90 High Used Car 0 10099 16 108 Low New Car 0 9125 13 24 High Small Appliance 795 16804 49 40 High Education 977 463 10 61 High Furniture 8636 214 11 3 Low New Car 949 0 49 36 Low New Car 0 693 19 28 High New Car 0 648 15 57 High Used Car 271 7090 25 2 High Used Car 0 904 49 119 High Small Appliance 5960 129 13 16 Low Furniture 0 987 37 101 High Education 842 0 37 9 Low Repairs 3111 0 13 27 Low Small Appliance 0 302 10 30 High Small Appliance 17366 0 16 21 High Business 929 124 9 1 Low Small Appliance 0 17124 13 95 Low Used Car 2472 0 37 41 Low New Car 193 2684 13 5 High 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 enter your response here ▼ 2 enter your response here ▼ High Low Tie 3 enter your response here ▼ Low High Tie 4 enter your response here ▼ Tie High Low 5 enter your response here ▼ High Low Tie (Round to four decimal places as needed.)

se the given data to classify the record below using the k-NN algorithm for k=1 to 5. Loan Purpose Checking Savings Months Customer Months Employed Business 500 800 15 20 Loan Purpose Checking Savings Months Customer Months Employed Credit Risk Business 0 533 14 2 Low Repairs 207 0 28 116 Low Furniture 101 3871 13 5 High Furniture 0 485 37 23 High Business 141 245 22 33 Low Used Car 2484 0 49 46 Low Small Appliance 0 323 49 42 High Used Car 0 109 25 26 Low Furniture 4256 0 16 36 Low Business 870 917 28 6 High New Car 162 595 22 10 Low New Car 0 659 19 5 High New Car 0 1366 19 17 Low Small Appliance 0 552 25 4 High Repairs 0 626 43 0 Low Furniture 828 391 9 12 High Small Appliance 317 10980 13 17 High Education 0 922 37 9 High Repairs 216 262 37 2 High New Car 0 470 13 0 Low New Car 8176 12230 7 5 Low Furniture 468 14186 22 24 Low Small Appliance 0 18716 19 93 Low Used Car 0 14717 28 7 Low New Car 0 0 25 19 High New Car 585 2223 16 0 High New Car 5588 0 22 10 High New Car 0 605 37 20 High Small Appliance 895 243 13 4 High Business 8948 110 31 90 High Used Car 0 10099 16 108 Low New Car 0 9125 13 24 High Small Appliance 795 16804 49 40 High Education 977 463 10 61 High Furniture 8636 214 11 3 Low New Car 949 0 49 36 Low New Car 0 693 19 28 High New Car 0 648 15 57 High Used Car 271 7090 25 2 High Used Car 0 904 49 119 High Small Appliance 5960 129 13 16 Low Furniture 0 987 37 101 High Education 842 0 37 9 Low Repairs 3111 0 13 27 Low Small Appliance 0 302 10 30 High Small Appliance 17366 0 16 21 High Business 929 124 9 1 Low Small Appliance 0 17124 13 95 Low Used Car 2472 0 37 41 Low New Car 193 2684 13 5 High 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 enter your response here ▼ 2 enter your response here ▼ High Low Tie 3 enter your response here ▼ Low High Tie 4 enter your response here ▼ Tie High Low 5 enter your response here ▼ High Low Tie (Round to four decimal places as needed.)

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Question

Use the given data to classify the record below using the k-NN algorithm for k=1 to 5.

Loan Purpose	Checking	Savings	Months Customer	Months Employed
Business	500	800	15	20

Loan Purpose	Checking	Savings	Months Customer	Months Employed	Credit Risk
Business	0	533	14	2	Low
Repairs	207	0	28	116	Low
Furniture	101	3871	13	5	High
Furniture	0	485	37	23	High
Business	141	245	22	33	Low
Used Car	2484	0	49	46	Low
Small Appliance	0	323	49	42	High
Used Car	0	109	25	26	Low
Furniture	4256	0	16	36	Low
Business	870	917	28	6	High
New Car	162	595	22	10	Low
New Car	0	659	19	5	High
New Car	0	1366	19	17	Low
Small Appliance	0	552	25	4	High
Repairs	0	626	43	0	Low
Furniture	828	391	9	12	High
Small Appliance	317	10980	13	17	High
Education	0	922	37	9	High
Repairs	216	262	37	2	High
New Car	0	470	13	0	Low
New Car	8176	12230	7	5	Low
Furniture	468	14186	22	24	Low
Small Appliance	0	18716	19	93	Low
Used Car	0	14717	28	7	Low
New Car	0	0	25	19	High
New Car	585	2223	16	0	High
New Car	5588	0	22	10	High
New Car	0	605	37	20	High
Small Appliance	895	243	13	4	High
Business	8948	110	31	90	High
Used Car	0	10099	16	108	Low
New Car	0	9125	13	24	High
Small Appliance	795	16804	49	40	High
Education	977	463	10	61	High
Furniture	8636	214	11	3	Low
New Car	949	0	49	36	Low
New Car	0	693	19	28	High
New Car	0	648	15	57	High
Used Car	271	7090	25	2	High
Used Car	0	904	49	119	High
Small Appliance	5960	129	13	16	Low
Furniture	0	987	37	101	High
Education	842	0	37	9	Low
Repairs	3111	0	13	27	Low
Small Appliance	0	302	10	30	High
Small Appliance	17366	0	16	21	High
Business	929	124	9	1	Low
Small Appliance	0	17124	13	95	Low
Used Car	2472	0	37	41	Low
New Car	193	2684	13	5	High

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	enter your response here	▼
2	enter your response here	▼ High Low Tie
3	enter your response here	▼ Low High Tie
4	enter your response here	▼ Tie High Low
5	enter your response here	▼ High Low Tie

(Round to four decimal places as needed.)

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