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(Hik, Oik). Find the expression for P(Y=1/X1,X2, ... Xn) boundary. in this case and find the decision