Section 6.2. Regressions

Regressions are one of the oldest self-learning methods used for predictive analytics, either to predict nominal classes (logistic regression) or numerical values (linear and polynomial regression).

The latest development in regression algorithms consists of ensemble methods, such as regression trees, where a number of different regression models are trained to work together to predict the task at hand.