Consider the standard set of Gaussian Naïve Bayes assumptions used in the derivation of the logistic regression expression, but with one modification- the class conditional density for each class has...

Extracted text: Consider the standard set of Gaussian Naïve Bayes assumptions used in the derivation of the logistic regression expression, but with one modification- the class conditional density for each class has unique values for both the mean and variance, rather than a common value for the variance, i.e P(X/Y=yk)=N(µic,Gix). Find the expression for P(Y=1/X1 ,X2, ... Xm) boundary. in this case and find the decision