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Optimal threshold estimation for binary classifiers using game theory
Many bioinformatics algorithms can be understood as binary classifiers. They are usually compared using the area under the receiver operating characteristic ( ROC) curve. On the other hand, choosing the best threshold for practical use is a complex task, due to uncertain and context-dependent skews...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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F1000Research
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5147524/ https://www.ncbi.nlm.nih.gov/pubmed/28003875 http://dx.doi.org/10.12688/f1000research.10114.3 |