Abstract
Model selection is often judged on only one criteria. We investigate the use of the Data Envelopment Analysis to this problem, and consider ways in which this aspect can utilize, as well as inform, existing statistical methodology.
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Nakhaeizadeh, G., Taylor, C.C. (1998). Selection of Classification Models Using Data Envelopment Analysis. In: Rizzi, A., Vichi, M., Bock, HH. (eds) Advances in Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72253-0_83
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DOI: https://doi.org/10.1007/978-3-642-72253-0_83
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