Logistic regression is a regression model for a binary response in which the logarithm of the odds is a linear
function of the explanatory variables. If 
is the conditional probability of success, then
 |
or equivalently 
is the logistic function evaluated at the linear predictor. The coefficients are
usually estimated by maximum likelihood.
