Impact of OVL variation on AUC bias estimated by non-parametric methods
The area under the ROC curve (AUC) is the most commonly used index in the ROC methodology to evaluate the performance of a classifier that discriminates between two mutually exclusive conditions. The AUC can admit values between 0.5 and 1, where values close to 1 indicate that the model of classific...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2020
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.21/12424 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/12424 |