A linear decision boundary in one dimension, of course, can be described by a rule ofthe form ifX 1> cthenY= 1, else= 0, wherecis a real-valued threshold (seediagram provided). Is it possible in this simple one-dimensional case to construct a Gaussian Naive Bayes classifier with a decision boundary that cannot be expressed bya rule in the above form)