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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...
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| Yayımlandı: | BMC Bioinformatics |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5351181/ https://ncbi.nlm.nih.gov/pubmed/28292263 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1578-z |
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