Semi-supervised learning: Classification using K-NN a. Plot the data given in the table below that shows the age, loan amount (in thousands) and whether they have defaulted or not. b. Using this information and K-NN determine if a client of age 48 and a loan of $150K will default or not. Use (i) K = 3, (ii) K = 5. c. How does value of K affect the result? Semi-supervised learning: Classification using K-NN a. Plot the data given in the table below that shows the age, loan amount (in thousands) and whether they have defaulted or not. b. Using this information and K-NN determine if a client of age 48 and a loan of $150K will default or not. Use (i) K = 3, (ii) K = 5. c. How does value of K affect the result