Variable selection in the prediction of business failure using genetic programming
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- @Article{BEADE:2024:knosys,
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author = "Angel Beade and Manuel Rodriguez and Jose Santos",
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title = "Variable selection in the prediction of business
failure using genetic programming",
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journal = "Knowledge-Based Systems",
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volume = "289",
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pages = "111529",
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year = "2024",
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ISSN = "0950-7051",
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DOI = "doi:10.1016/j.knosys.2024.111529",
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URL = "https://www.sciencedirect.com/science/article/pii/S0950705124001643",
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keywords = "genetic algorithms, genetic programming, Business
failure, Dimensionality reduction, Feature selection,
Evolutionary computation",
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abstract = "This study focuses on dimensionality reduction by
variable selection in business failure prediction
models. A new method of dimensionality reduction by
variable selection using Genetic Programming is
proposed, which takes into account the relative
frequency of occurrence of the explanatory variables in
the evolved solutions, as well as the statistical
relevance of that frequency. For a better evaluation of
the proposed method and its comparison with other
well-tested and widely used variable selection methods,
the prediction of business failure in three temporal
horizons (1, 5 and 9 years prior to failure) is
considered. Additionally, a comparison of the sets of
variables selected with different feature selection
methods is performed, also considering different
classifiers in the comparison, among which Genetic
Programming is included as a classifier. The results
indicate that the proposed method (using Genetic
Programming as a variable selection method) is superior
to the most tested and widely used methods analyzed,
and this superiority increases if Genetic Programming
is also used as a classification method",
- }
Genetic Programming entries for
Angel Beade
Manuel Rodriguez Lopez
Jose Santos Reyes
Citations