12. Suppose that you wish to classify an observation XE R into apples and oranges. You fit a logistic regression model and find that Pr(Y = orange X = x) = exp(Bo + Bix) 1 + exp(Bo + Bla) Your friend fits a logistic regression model to the same data using the softmax formulation in (4.13), and finds that Pr(Y = orange |X = x) = exp(Qorange0 + Oorange12") exp(@orange0 + CorangelX) + exp(@apple0 + @apple12) (a) What is the log odds of orange versus apple in your model? (b) What is the log odds of orange versus apple in your friend's model? (c) Suppose that in your model, Bo = 2 and B1 = -1. What are the coefficient estimates in your friend's model? Be as specific as possible