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Machine learning and. 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 three reasons:
Focus group report. Identify the purpose and goals of your focus group discussion. Develop a list of participants to invite, and devise a method for selection. Example selection methods include nomination, random selection, using existing groups of stakeholders, position-based invitation, and a selection of volunteers.