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 Repairs 0 900 25 4 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 ▼ High Low Tie 2 enter your response here ▼ High Low Tie 3 enter your response here ▼ High Low Tie 4 enter your response here ▼ Low High Tie 5 enter your response here ▼ High Tie Low (Round to four decimal places as needed.) Loan Purpose Checking Savings Months Customer Months Employed Credit Risk Business 322 578 10 14 Low New Car 0 821 25 63 High New Car 0 10723 11 15 Low Small Appliance 0 407 13 2 Low Business 16647 895 16 34 Low Used Car 0 109 25 26 Low Furniture 664 537 31 33 High New Car 0 667 29 10 High Furniture 0 8357 25 5 High New Car 0 759 16 59 High Small Appliance 303 899 13 3 High Small Appliance 0 192 46 13 High New Car 0 116 49 45 High Furniture 0 544 19 15 Low Small Appliance 0 10853 25 81 Low Furniture 0 322 13 9 Low Small Appliance 0 717 22 10 High Business 339 2790 22 55 High Used Car 0 309 49 37 Low Repairs 0 772 25 19 Low Business 0 406 6 35 Low Furniture 0 461 13 48 Low New Car 0 0 25 19 High New Car 0 544 25 0 High Small Appliance 0 418 19 4 Low Small Appliance 483 415 19 6 High New Car 0 508 13 3 High New Car 2641 0 13 71 Low Small Appliance 0 11838 7 70 Low New Car 682 2017 37 85 High New Car 0 11587 22 46 Low Furniture 0 8944 25 66 Low Furniture 0 347 16 5 Low New Car 11072 891 61 17 Low New Car 0 127 7 13 Low Furniture 0 367 37 22 Low Other 0 523 37 0 Low Small Appliance 0 337 25 107 Low New Car 0 716 19 33 High Furniture 0 987 37 101 High Business 257 460 49 75 High New Car 332 214 25 2 Low Used Car 0 396 49 73 High Furniture 642 0 13 65 High Business 898 177 22 105 High New Car 3880 0 23 37 Low Furniture 0 815 19 13 High Used Car 0 160 13 7 Low Used Car 0 276 25 91 Low Small Appliance 497 0 7 51 Low
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 Repairs 0 900 25 4 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 ▼ High Low Tie 2 enter your response here ▼ High Low Tie 3 enter your response here ▼ High Low Tie 4 enter your response here ▼ Low High Tie 5 enter your response here ▼ High Tie Low (Round to four decimal places as needed.) Loan Purpose Checking Savings Months Customer Months Employed Credit Risk Business 322 578 10 14 Low New Car 0 821 25 63 High New Car 0 10723 11 15 Low Small Appliance 0 407 13 2 Low Business 16647 895 16 34 Low Used Car 0 109 25 26 Low Furniture 664 537 31 33 High New Car 0 667 29 10 High Furniture 0 8357 25 5 High New Car 0 759 16 59 High Small Appliance 303 899 13 3 High Small Appliance 0 192 46 13 High New Car 0 116 49 45 High Furniture 0 544 19 15 Low Small Appliance 0 10853 25 81 Low Furniture 0 322 13 9 Low Small Appliance 0 717 22 10 High Business 339 2790 22 55 High Used Car 0 309 49 37 Low Repairs 0 772 25 19 Low Business 0 406 6 35 Low Furniture 0 461 13 48 Low New Car 0 0 25 19 High New Car 0 544 25 0 High Small Appliance 0 418 19 4 Low Small Appliance 483 415 19 6 High New Car 0 508 13 3 High New Car 2641 0 13 71 Low Small Appliance 0 11838 7 70 Low New Car 682 2017 37 85 High New Car 0 11587 22 46 Low Furniture 0 8944 25 66 Low Furniture 0 347 16 5 Low New Car 11072 891 61 17 Low New Car 0 127 7 13 Low Furniture 0 367 37 22 Low Other 0 523 37 0 Low Small Appliance 0 337 25 107 Low New Car 0 716 19 33 High Furniture 0 987 37 101 High Business 257 460 49 75 High New Car 332 214 25 2 Low Used Car 0 396 49 73 High Furniture 642 0 13 65 High Business 898 177 22 105 High New Car 3880 0 23 37 Low Furniture 0 815 19 13 High Used Car 0 160 13 7 Low Used Car 0 276 25 91 Low Small Appliance 497 0 7 51 Low
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Question
4, 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
|
|
|---|---|---|---|---|---|
|
Repairs
|
0
|
900
|
25
|
4
|
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
|
▼
High
Low
Tie
|
|
2
|
enter your response here
|
▼
High
Low
Tie
|
|
3
|
enter your response here
|
▼
High
Low
Tie
|
|
4
|
enter your response here
|
▼
Low
High
Tie
|
|
5
|
enter your response here
|
▼
High
Tie
Low
|
(Round to four decimal places as needed.)
|
Loan Purpose
|
Checking
|
Savings
|
Months
Customer
|
Months
Employed
|
Credit
Risk
|
|
|---|---|---|---|---|---|---|
|
Business
|
322
|
578
|
10
|
14
|
Low
|
|
|
New Car
|
0
|
821
|
25
|
63
|
High
|
|
|
New Car
|
0
|
10723
|
11
|
15
|
Low
|
|
|
Small Appliance
|
0
|
407
|
13
|
2
|
Low
|
|
|
Business
|
16647
|
895
|
16
|
34
|
Low
|
|
|
Used Car
|
0
|
109
|
25
|
26
|
Low
|
|
|
Furniture
|
664
|
537
|
31
|
33
|
High
|
|
|
New Car
|
0
|
667
|
29
|
10
|
High
|
|
|
Furniture
|
0
|
8357
|
25
|
5
|
High
|
|
|
New Car
|
0
|
759
|
16
|
59
|
High
|
|
|
Small Appliance
|
303
|
899
|
13
|
3
|
High
|
|
|
Small Appliance
|
0
|
192
|
46
|
13
|
High
|
|
|
New Car
|
0
|
116
|
49
|
45
|
High
|
|
|
Furniture
|
0
|
544
|
19
|
15
|
Low
|
|
|
Small Appliance
|
0
|
10853
|
25
|
81
|
Low
|
|
|
Furniture
|
0
|
322
|
13
|
9
|
Low
|
|
|
Small Appliance
|
0
|
717
|
22
|
10
|
High
|
|
|
Business
|
339
|
2790
|
22
|
55
|
High
|
|
|
Used Car
|
0
|
309
|
49
|
37
|
Low
|
|
|
Repairs
|
0
|
772
|
25
|
19
|
Low
|
|
|
Business
|
0
|
406
|
6
|
35
|
Low
|
|
|
Furniture
|
0
|
461
|
13
|
48
|
Low
|
|
|
New Car
|
0
|
0
|
25
|
19
|
High
|
|
|
New Car
|
0
|
544
|
25
|
0
|
High
|
|
|
Small Appliance
|
0
|
418
|
19
|
4
|
Low
|
|
|
Small Appliance
|
483
|
415
|
19
|
6
|
High
|
|
|
New Car
|
0
|
508
|
13
|
3
|
High
|
|
|
New Car
|
2641
|
0
|
13
|
71
|
Low
|
|
|
Small Appliance
|
0
|
11838
|
7
|
70
|
Low
|
|
|
New Car
|
682
|
2017
|
37
|
85
|
High
|
|
|
New Car
|
0
|
11587
|
22
|
46
|
Low
|
|
|
Furniture
|
0
|
8944
|
25
|
66
|
Low
|
|
|
Furniture
|
0
|
347
|
16
|
5
|
Low
|
|
|
New Car
|
11072
|
891
|
61
|
17
|
Low
|
|
|
New Car
|
0
|
127
|
7
|
13
|
Low
|
|
|
Furniture
|
0
|
367
|
37
|
22
|
Low
|
|
|
Other
|
0
|
523
|
37
|
0
|
Low
|
|
|
Small Appliance
|
0
|
337
|
25
|
107
|
Low
|
|
|
New Car
|
0
|
716
|
19
|
33
|
High
|
|
|
Furniture
|
0
|
987
|
37
|
101
|
High
|
|
|
Business
|
257
|
460
|
49
|
75
|
High
|
|
|
New Car
|
332
|
214
|
25
|
2
|
Low
|
|
|
Used Car
|
0
|
396
|
49
|
73
|
High
|
|
|
Furniture
|
642
|
0
|
13
|
65
|
High
|
|
|
Business
|
898
|
177
|
22
|
105
|
High
|
|
|
New Car
|
3880
|
0
|
23
|
37
|
Low
|
|
|
Furniture
|
0
|
815
|
19
|
13
|
High
|
|
|
Used Car
|
0
|
160
|
13
|
7
|
Low
|
|
|
Used Car
|
0
|
276
|
25
|
91
|
Low
|
|
|
Small Appliance
|
497
|
0
|
7
|
51
|
Low
|
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