You collect N observations of D inputs and a binary outcome y where y=1 represents the event and y=0 is the non-event. The inputs are assembled into a design matrix, X, which includes the column for the intercept in the model. The vector of all N responses is denoted as y. You are interested in fitting a logistic regression model for the binary classification application. The event probability for all N observations is denoted by . Which of the following expressions listed below corresponds to the formula for the Maximum Likelihood Estimate (MLE) for the parameters of the logistic regression model? 21XT(y)(XTX)1XTy Logistic regression does not have a closed form solution for the parameter MLEs XT(y)