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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: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3391298/ https://www.ncbi.nlm.nih.gov/pubmed/22792381 http://dx.doi.org/10.1371/journal.pone.0040598 |