1.1.1 \(f_1\ =\ N\left(0_d,\ I_d\right)\ and\ f_2\ =\ N\left(\left(d,\ 0_{d-1}\right),\ I_d\right)\)
\(\pi_1\ =\ 0.5\ \&\ \pi_2\ =\ 0.5\)
(B) LDA and QDA
The misclassification rate decreases with increase in the dimension of data for both LDA and QDA