Learning misclassification costs for imbalanced classification on gene expression data

BACKGROUND: Cost-sensitive algorithm is an effective strategy to solve imbalanced classification problem. However, the misclassification costs are usually determined empirically based on user expertise, which leads to unstable performance of cost-sensitive classification. Therefore, an efficient and...

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Detalles Bibliográficos
Autores principales: Lu, Huijuan, Xu, Yige, Ye, Minchao, Yan, Ke, Gao, Zhigang, Jin, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929277/
https://www.ncbi.nlm.nih.gov/pubmed/31874599
http://dx.doi.org/10.1186/s12859-019-3255-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929277/
https://www.ncbi.nlm.nih.gov/pubmed/31874599
http://dx.doi.org/10.1186/s12859-019-3255-x

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