Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Matrice de confuzie× | Coeficientul de Corelație Matthews× | |
|---|---|---|
| Domeniu | Evaluarea modelelor | Evaluarea modelelor |
| Familie | MCDM | MCDM |
| Anul apariției≠ | 20th century | 1975 |
| Autorul original≠ | Statistical foundations | Brian W. Matthews |
| Tip≠ | Evaluation visualization | Evaluation metric |
| Sursa seminală≠ | Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗ | 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 ↗ |
| Denumiri alternative | Error Matrix, Contingency Table | Phi Coefficient, Binary Classification Correlation |
| Înrudite | 5 | 5 |
| Rezumat≠ | 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. | 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. |
| ScholarGateSet de date ↗ |
|
|