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| Noggrannhet× | F1-poäng× | |
|---|---|---|
| Ämnesområde | Modellutvärdering | Modellutvärdering |
| Familj | MCDM | MCDM |
| Ursprungsår≠ | 20th century | 1979 |
| Upphovsperson≠ | Historical statistical foundations | C. J. van Rijsbergen |
| Typ | Evaluation metric | Evaluation metric |
| Ursprungskälla≠ | 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 ↗ |
| Alias | Overall Accuracy, Correct Classification Rate | F-measure, Harmonic Mean |
| Närliggande | 5 | 5 |
| Sammanfattning≠ | Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class. | 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. |
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