Feature selection

Definition of Feature selection:

• Feature selection is the process by which a subset of relevant features, or variables, are selected from a larger data set for constructing models. Variable selection, attribute selection or variable subset selection are all other names used for feature selection. The main focus of feature selection is to choose features that represent the data set well by excluding redundant and irrelevant data. This is in contrast to feature extraction in which new features are created as functions of the original features.