Logistic Regression

Logistic regression models a binary outcome, like whether an event happens or not, as a function of one or more predictor variables. It predicts the probability of the outcome falling into one category, using the glm() function with a logistic link in R. It's one of the most widely used models for classification problems, both in traditional statistics and as a baseline in machine learning.