Constructing Ensembles from Data Envelopment Analysis

Abstract

It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘best’ model. This paper proposes a novel Data Envelopment Analysis (DEA) based approach to combine models. We prove that for the 2-class classification problems, DEA models identify… (More)
DOI: 10.1287/ijoc.1060.0180

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