Regression is one of the basic types of supervised prediction, where the task is to estimate a numerical response to a multivariate observation (or instance) , on the basis of a training set of data containing observations (or instances) whose response (or target) is known. An example would be estimating housing prices based on demographic and economic observations.

See regression analysis on Wikipedia.

Related problems