1.Using the KNN method of classification,

(A) note where the green data point in the center would be classified if k=1, then

(B) note where the green data point would be classified if k=3, and finally

(C) which do you believe is the most appropriate classification and why.

AL Using the KNN method of classication, {A} note where the green data point in the center would be classied if k=1, then [B] note where the green data point would be classied if k=3, and nally [C] which do you believe is the most appropriate classification and why. 'Ihe most appropriate classification is k as 3. If we select k as small number, the noise will have a higher impact on the results and if we select k as higher number, it would he computationally expensive, and our model could be biased to major class in lhe hataseli Distance New example to classify