In classification, we wish to construct a model from a set of historical data. The model should describe a predetermined set of data classes. For example, in traditional direct marketing there are usually two predetermined classes, namely the “responder” class and the “non-responder” class. An observation or sample is a record representing an entity, . a customer. Each observation is associated with a certain number of characteristic attributes and belongs to exactly one of the predetermined classes. The classification model aims to correctly assign each observation to its class. Classification is an example of supervised learning because.
