Logistic Regression - A Complete Tutorial with Examples in R

Logistic regression is a predictive modelling algorithm that is used when the Y variable is binary categorical. That is, it can take only two values like 1 or 0. The goal is to determine a mathematical equation that can be used to predict the probability of event 1. Once the equation is established, it can be used to predict the Y when only the X--s are known. Earlier you saw what is linear regression and how to use it to predict continuous Y variables. In linear regression the Y variable is always a continuous variable.