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ROCS: Receiver Operating Characteristic Surface for Class-Skewed High-Throughput Data
The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e. most features tested belong to the true negative class. In such cases, only a small portion o...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2012
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3391298/ https://ncbi.nlm.nih.gov/pubmed/22792381 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0040598 |
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