Feature selection
PROCEDURE IN MACHINE LEARNING AND STATISTICS
Input selection; Feature selection problem; Variable selection; Feature subset selection
In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for several reasons: