SCENARIO Assume you are using k-NN to predict the outcome fo…

SCENARIO Assume you are using k-NN to predict the outcome for a new observation based on given data. The provided training dataset in the table below has credit scores for each of the 7 customers (A – G). You have a new customer (represented by X in the graph below) you need to predict the credit score for. The table below also shows the Euclidian distances between the new customer, X, and the 7 training customers. New – Existing Euclidian Credit Score X – A 1.19 684 X – B 0.65 727 X – C 0.96 817 X – D 1.17 604 X – E 1.74 730 X – F 1.82 781 X – G 1.57 618 The next two (2) questions are based on this scenario.