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Consider following data gathered from a questionnaire survey. Age Income Education Credit 3 8 5 5 1 2 Bad 3 2 7 0 1 6

Consider following data gathered from a questionnaire
survey.
Age Income Education Credit
385512 Bad
327016 Bad
343510 Good
458018 Good
20208 Good
361005 Good
258010 Bad
Using KNN algorithm with K=3, what is the classification of new
customer who is 40 years old with income 63K with 16 years of
Education. Use min-max normalization.Question 3: Consider following data gathered from a questionnaire survey.
\table[[Age,Income,Education,Credit],[38,55,12,Bad],[32,70,16,Bad],[34,35,10,Good],[45,80,18,Good],[20,20,8,Good],[36,100,5,Good],[25,80,10,Bad]]
Using KNN algorithm with K=3, what is the classification of new customer who is 40 years old with income 63 K with 16 years of Education. Use min-max normalization. Give me an answer with detailed explanation of every step
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