Homework Help is Here – Start Your Trial Now!
Engineering
AI and Machine Learning
Use the given data to classify the record below using the k-NN algorithm for k = 1 to 5. Loan Purpose Checking Repairs Savings Months Customer Employed Months 0 900 25 4 Click the icon to view the table of classified records. D 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 3 4 5 (Round to four decimal places as needed.)

Use the given data to classify the record below using the k-NN algorithm for k = 1 to 5. Loan Purpose Checking Repairs Savings Months Customer Employed Months 0 900 25 4 Click the icon to view the table of classified records. D 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 3 4 5 (Round to four decimal places as needed.)

icon
Related questions
Question
Use the given data to classify the record below using the k-NN algorithm for k = 1 to 5. Loan Purpose Checking Repairs Savings Months Customer Employed Months 0 900 25 4 Click the icon to view the table of classified records. D 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 3 4 5 (Round to four decimal places as needed.)
Transcribed Image Text:Use the given data to classify the record below using the k-NN algorithm for k = 1 to 5. Loan Purpose Checking Repairs Savings Months Customer Employed Months 0 900 25 4 Click the icon to view the table of classified records. D 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 3 4 5 (Round to four decimal places as needed.)
Months Months Credit Loan Purpose Checking Savings Customer New Car 0 389 Education 963 4754 New Car 0 229 New Car 708 683 Furniture 101 3871 Small Appliance 0 407 New Car 580 0 Small Appliance 0 656 Repairs 0 626 Small Appliance 303 899 Small Appliance 0 576 New Car 0 116 Used Car 0 609 Large Appliance 0 409 Furniture 0 0 Other 0 0 Furniture 192 199 New Car 0 500 Used Car 0 260 Small Appliance 0 643 Used Car 0 6345 Small Appliance 0 861 New Car 0 470 Business 0 406 New Car 0 771 New Car 624 785 New Car 0 9125 New Car 2641 0 Used Car 0 701 New Car 682 2017 Small Appliance 0 1218 Small Appliance 0 867 Education 0 164 New Car 8060 607 Small Appliance 0 6628 Business 0 859 Furniture 0 13970 Furniture 0 5857 Small Appliance 0 726 Repairs 271 759 New Car 0 693 Small Appliance 0 337 Small Appliance 242 0 Small Appliance 0 148 Used Car 2472 0 Business 898 177 Furniture 0 991 Furniture 0 815 New Car 0 770 New Car 0 579 27222211221227222222222222222222222222222221222 19 40 13 13 13 13 37 43 13 49 37 49 13 25 25 28 25 19 25 13 13 6 25 37 13 13 37 13 31 13 19 37 19 13 19 19 19 19 25 19 43 37 19 37 220352050314052757202703002FOEONETEN22102002TOMEMO Employed Risk 119 High Low 16 Low Low High Low 8 High 85 Low Low High Low High 6 Low High 94 Low High High High 78 Low 6 Low 19 Low High Low Low High 9 Low High Low Low 85 High 38 Low Low 65 Low Low 65 Low High High Low High Low 28 High Low 6 Low High Low High High High High Low
Transcribed Image Text:Months Months Credit Loan Purpose Checking Savings Customer New Car 0 389 Education 963 4754 New Car 0 229 New Car 708 683 Furniture 101 3871 Small Appliance 0 407 New Car 580 0 Small Appliance 0 656 Repairs 0 626 Small Appliance 303 899 Small Appliance 0 576 New Car 0 116 Used Car 0 609 Large Appliance 0 409 Furniture 0 0 Other 0 0 Furniture 192 199 New Car 0 500 Used Car 0 260 Small Appliance 0 643 Used Car 0 6345 Small Appliance 0 861 New Car 0 470 Business 0 406 New Car 0 771 New Car 624 785 New Car 0 9125 New Car 2641 0 Used Car 0 701 New Car 682 2017 Small Appliance 0 1218 Small Appliance 0 867 Education 0 164 New Car 8060 607 Small Appliance 0 6628 Business 0 859 Furniture 0 13970 Furniture 0 5857 Small Appliance 0 726 Repairs 271 759 New Car 0 693 Small Appliance 0 337 Small Appliance 242 0 Small Appliance 0 148 Used Car 2472 0 Business 898 177 Furniture 0 991 Furniture 0 815 New Car 0 770 New Car 0 579 27222211221227222222222222222222222222222221222 19 40 13 13 13 13 37 43 13 49 37 49 13 25 25 28 25 19 25 13 13 6 25 37 13 13 37 13 31 13 19 37 19 13 19 19 19 19 25 19 43 37 19 37 220352050314052757202703002FOEONETEN22102002TOMEMO Employed Risk 119 High Low 16 Low Low High Low 8 High 85 Low Low High Low High 6 Low High 94 Low High High High 78 Low 6 Low 19 Low High Low Low High 9 Low High Low Low 85 High 38 Low Low 65 Low Low 65 Low High High Low High Low 28 High Low 6 Low High Low High High High High Low
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Complex Datatypes
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, ai-and-machine-learning and related others by exploring similar questions and additional content below.