Wrapper for building classification models using Covering Arrays
Wrapper methods are a type of feature selection method that finds a subset of variables to improve the performance of a classifier by removing redundant and irrelevant variables. The use of a wrapper implies that each time a candidate solution is explored, the classifier is evaluated on the quality...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Institute of Electrical and Electronics Engineers
2019
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| Acceso en línea: | https://hdl.handle.net/10568/103962 |
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