• Logistic Regression is one of the commonly used statistical algorithms in predictive modeling. It is a regression model for binomially distributed response/dependent variables (such as response/non-response, default/non-default).  It is particully effective for modeling the probability of an event occurring as a function of other factors. It is a generalized linear model that uses the logit as its link function. See more detail...