Q.2. Consider the following dataset set containing two features X1 and X2. The output (dependent feature) is denoted by y. a) In which class the data point XI=5,X2=6 will belong to if you use kNN algorithm with k=3 and distance measure as Euclidean distance? b) In which class the data point X1=5,X2=6 will belong to if you use kNN algorithm with k=5 and distance measure as Euclidean distance? c) For which value of k ( 3 or 5 ), kNN algorithm will give minimum leave one out cross validation (LOOCV) accuracy? Justify your answer by calculating LOOCV accuracies. (Marks: 4+4+10=18 )