When performing a multinomial logistic regression, the following should be examined to evaluate the quality of the model except: Group of answer choices Check to see if there are significant variables in the model. Examine the significant variables in the model and how they influence the probability of group membership. How well the model performs on the training set and how well does it generalize to the testing set. Performing an ROC/AUC analysis to understand the degree of separation