Question: Consider the binary classification setup for Quadratic Discriminant Analysis(QDA) in one-dimensional case:p0=Pr(Y=0),p1=Pr(Y=1),X|Y=0~N(0,s20)andX|Y=1~N(1,s21).(a) Based on derivation, what is the decision rule?(b) Based on derivation, what is

Consider the binary classification setup for Quadratic Discriminant Analysis(QDA) in one-dimensional case:p0=Pr(Y=0),p1=Pr(Y=1),X|Y=0~N(0,s20)andX|Y=1~N(1,s21).(a) Based on derivation, what is the decision rule?(b) Based on derivation, what is the discriminant function?(c) Supposep0=0.5,p1=0.5,0=1,1=2,s20=1,s21=0.5. Given inputx=1.5, based on calculation, what will be the predicted class?(d) Supposep0=0.7,p1=0.3,0=1,1=2,s20=1,s21=0.5. Given inputx=1.5, based on calculation, what will be the predicted class?

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