Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Precisión equilibrada× | Matriz de confusión× | |
|---|---|---|
| Campo | Evaluación de modelos | Evaluación de modelos |
| Familia | MCDM | MCDM |
| Año de origen≠ | 2010 | 20th century |
| Autor original≠ | Brodersen, Ong, Stephan, and Buhmann | Statistical foundations |
| Tipo≠ | Evaluation metric | Evaluation visualization |
| Fuente seminal≠ | 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 ↗ | Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗ |
| Alias | Average Recall, Equal-weight Average Sensitivity | Error Matrix, Contingency Table |
| Relacionados | 5 | 5 |
| Resumen≠ | 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 confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics. |
| ScholarGateConjunto de datos ↗ |
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