ABSTRACT
Logistic Regression is a machine learning algorithm that can be used to classify binary categories such as Yes/No, Present/Not-Present, or Red Wine/White Wine. Logistic Regression is one of the classic machine learning algorithms for classification problems. The basic idea dates back almost 200 years (Verhulst (1845)). Nevertheless, Logistic Regression is among the most used algorithms for classifying binary events and is often successful in machine learning competitions.
