Prediction can be viewed as the construction and use of a model to assess the class of an unlabeled object, or to measure the value or value ranges of an attribute that a given object is likely to have. In this interpretation, classification and regression are the two major types of prediction problems where classification is used to predict discrete or nominal values, while regression is used to predict incessant or ordered values.
