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Loan Purpose Checking Savings Months Customer Months Employed Credit Risk Business 0 989 49 0 High New Car 0 821 25 63 High Education 287

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Loan Purpose Checking Savings Months Customer Months Employed Credit Risk Business 0 989 49 0 High New Car 0 821 25 63 High Education 287 12348 7 2 High Business 141 245 22 33 Low Small Appliance 0 485 19 12 Low Furniture 216 0 19 3 High New Car 0 660 17 75 High Used Car 399 0 31 0 High New Car 0 806 19 3 High Used Car 0 104 37 25 High Small Appliance 303 899 13 3 High Small Appliance 900 1732 37 11 High Small Appliance 0 576 7 14 Low New Car 0 369 10 16 Low Small Appliance 0 12242 25 53 High Furniture 876 1533 31 21 High Business 0 104 25 23 Low Furniture 0 836 25 99 Low Furniture 0 979 25 48 High Used Car 0 309 49 37 Low Furniture 113 692 11 14 Low Furniture 468 14186 22 24 Low Business 0 750 37 2 High Small Appliance 0 823 25 47 Low Business 0 5180 22 4 High Small Appliance 0 552 13 15 High Small Appliance 156 0 13 58 High Furniture 0 636 22 41 Low New Car 2641 0 13 71 Low Used Car 0 1519 40 74 Low Used Car 0 701 22 108 Low Small Appliance 946 0 16 83 Low Furniture 0 142 7 53 Low New Car 425 0 19 7 High New Car 0 486 12 22 Low New Car 1613 0 25 118 Low Furniture 0 367 37 22 Low Small Appliance 0 503 13 62 Low Used Car 271 7090 25 2 High Furniture 0 154 37 2 High Small Appliance 8249 0 31 77 Low Small Appliance 0 959 11 21 Low Furniture 0 146 25 46 High Small Appliance 16630 0 11 47 Low Small Appliance 296 818 19 93 Low Business 898 177 22 105 High New Car 478 4071 10 40 High Furniture 0 991 7 3 High Business 0 4973 25 17 Low New Car 0 0 25 103 High

10.3.7 Use the given data to classify the record below using the k-NN algorithm for k= 1 to 5. Loan Purpose Education Checking 600 Savings 3500 Months Customer 30 Months Employed 45 E: 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 V 2 7 3 4 5 (Round to four decimal places as ne Tie Low High 10.3.7 Use the given data to classify the record below using the k-NN algorithm for k= 1 to 5. Loan Purpose Education Checking 600 Savings 3500 Months Customer 30 Months Employed 45 E: 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 V 2 7 3 4 5 (Round to four decimal places as ne Tie Low High

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