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...
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | bookPart |
| Language: | eng |
| Published: |
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10400.21/12424 |
| Country: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/12424 |