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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/30622

Title: The use of machine learning algorithms for the study of business profitability: A new approach based on preferences
Author(s): Andrés Suárez, Javier
Lorca Fernández, Pedro
Bahamonde Rionda, Antonio
Coz Velasco, Juan José del
Keywords: Profitability
Machine learning algorithm
Issue date: 2004
Publisher: Universidad de Huelva, Rutgers University
Citation: The International Journal of Digital Accounting Research, 4(8), p. 99-124 (2004)
Format extent: p. 99-124
Abstract: In recent years, researchers in the field of Artificial Intelligence have developed a learning technique, namely, preference learning, that is suitable to be used for economic analysis. The present research empirically tests one of these models, which consists of a combination of LACE and RFE algorithms. The problem of forecasting the profitability of Spanish companies upon the basis of a set of financial ratios is used as a benchmark. The model provides forecasted rankings, which are a kind of information that is more useful for the economic analysts than the forecasted class memberships that traditional machine learning techniques provide
URI: http://hdl.handle.net/10651/30622
ISSN: 1577-8517
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