1.1.2 \(f_1\ =\ N_d\left(0_d,\ I_d\right)\ and\ f_2\ =\ SN_d\left(0_d,\ I_d\right)\)
\(\pi_1\ =\ 0.5\ \&\ \pi_2\ =\ 0.5\)
(B) LDA and QDA
Misclassification rate for this data using LDA comes out to be 0.496 on Test and 0.45 on Training data.
(D)KNN
The accurracy (1- misclassification rate) for KNN ussing the above data