  This study aims to show the fundamental difference between logistic
regression and Bayesian classifiers in the case of exponential and
unexponential families of distributions, yielding the following findings.
First, the logistic regression is a less general representation of a Bayesian
classifier. Second, one should suppose distributions of classes for the correct
specification of logistic regression equations. Third, in specific cases, there
is no difference between predicted probabilities from correctly specified
generative Bayesian classifier and discriminative logistic regression.
