Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Specificitate× | Scorul F1× | |
|---|---|---|
| Domeniu | Evaluarea modelelor | Evaluarea modelelor |
| Familie | MCDM | MCDM |
| Anul apariției≠ | 20th century | 1979 |
| Autorul original≠ | Historical statistical foundations | C. J. van Rijsbergen |
| Tip | Evaluation metric | Evaluation metric |
| Sursa seminală≠ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ | van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗ |
| Denumiri alternative | True Negative Rate, TNR | F-measure, Harmonic Mean |
| Înrudite | 5 | 5 |
| Rezumat≠ | 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. | 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. |
| ScholarGateSet de date ↗ |
|
|