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ROC and AUC with a Binary Predictor: a Potentially Misleading Metric
In analysis of binary outcomes, the receiver operator characteristic (ROC) curve is heavily used to show the performance of a model or algorithm. The ROC curve is informative about the performance over a series of thresholds and can be summarized by the area under the curve (AUC), a single number. W...
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| Publicat a: | J Classif |
|---|---|
| Autor principal: | |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7695228/ https://ncbi.nlm.nih.gov/pubmed/33250548 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00357-019-09345-1 |
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