Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Uravnotežena tačnost× | F1-mera× | |
|---|---|---|
| Oblast | Evaluacija modela | Evaluacija modela |
| Porodica | MCDM | MCDM |
| Godina nastanka≠ | 2010 | 1979 |
| Tvorac≠ | Brodersen, Ong, Stephan, and Buhmann | C. J. van Rijsbergen |
| Tip | Evaluation metric | Evaluation metric |
| Temeljni izvor≠ | Brodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010). The balanced accuracy and its posterior distribution. 20th International Conference on Pattern Recognition (ICPR), 3121-3124. DOI ↗ | van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗ |
| Drugi nazivi | Average Recall, Equal-weight Average Sensitivity | F-measure, Harmonic Mean |
| Srodne | 5 | 5 |
| Sažetak≠ | Balanced accuracy is the average of recall values computed for each class separately. It corrects for class imbalance by giving equal weight to the performance on each class, regardless of class frequency in the dataset. | 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. |
| ScholarGateSkup podataka ↗ |
|
|