Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{deMelo:2016:GECCOcomp,

• author = "Vinicius Veloso {de Melo} and Wolfgang Banzhaf",
• title = "Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming",
• booktitle = "GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation",
• year = "2016",
• editor = "Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing",
• pages = "61--62",
• month = "20-24 " # jul,
• organisation = "SIGEVO",
• address = "Denver, USA",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming: Poster",
• publisher_address = "New York, NY, USA",
• isbn13 = "978-1-4503-4323-7",
• DOI = "doi:10.1145/2908961.2908963",
• abstract = "we employ the recently proposed Kaizen Programming (KP) approach to find high-quality nonlinear combinations of the original features in a dataset. KP constructs many complementary features at the same time, which are selected by their importance, not by model quality. We investigated our approach in a well-known real-world credit scoring dataset. When compared to related approaches, KP reaches similar or better results, but evaluates fewer models.",
• notes = "Distributed at GECCO-2016.",

}

Genetic Programming entries for Vinicius Veloso de Melo Wolfgang Banzhaf

Citations