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Journal of Undergraduate Research

Keywords

classification techniques, health insurance coverage, discrimination

College

Physical and Mathematical Sciences

Department

Statistics

Abstract

Classification is the assignment of objects to categories using a decision rule based on observed characteristics. Several classification techniques are available to form the decision rule. Each builds the decision rule by modeling the relationship between the actual categories and observed characteristics. The decision rule can then be used to classify other objects for which the true category is unknown. Three popular classification techniques are logistic regression, discriminant analysis, and classification trees. While all three of these classification techniques seem to work with some success, the literature has not come to uniformly accept one technique.

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