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Relevant features selection through principal component analysis is employed to increase the efficiency of support vector machine (SVM) methods. In particular, a detailed study is presented on the effects of this statistical narrowing, when used to generate income prediction data based on the current population survey provided by the U.S. Census Bureau. A(More)
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