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CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests
BACKGROUND: The random forests algorithm is a type of classifier with prominent universality, a wide application range, and robustness for avoiding overfitting. But there are still some drawbacks to random forests. Therefore, to improve the performance of random forests, this paper seeks to improve...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351181/ https://www.ncbi.nlm.nih.gov/pubmed/28292263 http://dx.doi.org/10.1186/s12859-017-1578-z |