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AVC: Selecting discriminative features on basis of AUC by maximizing variable complementarity
BACKGROUND: The Receiver Operator Characteristic (ROC) curve is well-known in evaluating classification performance in biomedical field. Owing to its superiority in dealing with imbalanced and cost-sensitive data, the ROC curve has been exploited as a popular metric to evaluate and find out disease-...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5374660/ https://ncbi.nlm.nih.gov/pubmed/28361689 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1468-4 |
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