(b) In a two-class problem with a single feature x the pdf's are Gaussians with variance o^2 (sigma square)=2/3 for both classes (c1 and c2) and mean values (n*p) and (q*r), respectively. Where the Gaussians pdf is provided in the following figure. If P(c1)=0.4 and P(c2)=0.6, compute the threshold value XO for minimum error probability & minimum risk if loss matrix L={{0, 0.5), (1, 0}}. Consider your ID is in the format 1718210npr. - (x-1)2 1 P(x|C;) = V2 *11*02 2*02)