Comparing multi-class classifier performance by multi-class ROC analysis : A nonparametric approach
The area under the Receiver Operating Characteristic (ROC) curve (AUC) is a standard metric for quantifying and comparing binary classifiers. Real world applications often require classification into multiple (more than two) classes. For multi-class classifiers that produce class membership scores,...
| Veröffentlicht in: | Neurocomputing. - 1998. - 583(2024) vom: 28. Mai |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | Neurocomputing |
| Schlagworte: | Journal Article Ustatistics area under the ROC curve (AUC) jackknife multi-class AUC multi-class classification receiver operating characteristic (ROC) |
| Online verfügbar |
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