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| F1-Score× | Spezifität× | |
|---|---|---|
| Fachgebiet | Modellevaluation | Modellevaluation |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 1979 | 20th century |
| Urheber≠ | C. J. van Rijsbergen | Historical statistical foundations |
| Typ | Evaluation metric | Evaluation metric |
| Wegweisende Quelle≠ | van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| Aliasnamen | F-measure, Harmonic Mean | True Negative Rate, TNR |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important. | Specificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly. |
| ScholarGateDatensatz ↗ |
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