Feature selection for bankruptcy prediction: a multi-objective optimization approach
In this work a Multi-Objective Evolutionary Algorithm (MOEA) was applied for feature selection in the problem of bankruptcy prediction. The aim is to maximize the accuracy of the classifier while keeping the number of features low. A two-objective problem - minimization of the number of features and...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2010
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/19288 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/19288 |