Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Coeficientul de Corelație Matthews× | Acuratețe Echilibrată× | |
|---|---|---|
| Domeniu | Evaluarea modelelor | Evaluarea modelelor |
| Familie | MCDM | MCDM |
| Anul apariției≠ | 1975 | 2010 |
| Autorul original≠ | Brian W. Matthews | Brodersen, Ong, Stephan, and Buhmann |
| Tip | Evaluation metric | Evaluation metric |
| Sursa seminală≠ | Matthews, B. W. (1975). Comparison of predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure, 405(2), 442-451. DOI ↗ | 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 ↗ |
| Denumiri alternative | Phi Coefficient, Binary Classification Correlation | Average Recall, Equal-weight Average Sensitivity |
| Înrudite | 5 | 5 |
| Rezumat≠ | The Matthews Correlation Coefficient (MCC) is a correlation measure between predicted and actual binary classifications. It ranges from -1 to 1 and is considered one of the most reliable single-score metrics for evaluating binary classifiers, especially on imbalanced datasets. | 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. |
| ScholarGateSet de date ↗ |
|
|