Uporedite metode
Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.
| Metjuzov koeficijent korelacije× | Odziv (Osetljivost)× | |
|---|---|---|
| Oblast | Evaluacija modela | Evaluacija modela |
| Porodica | MCDM | MCDM |
| Godina nastanka≠ | 1975 | 20th century |
| Tvorac≠ | Brian W. Matthews | Historical statistical foundations |
| Tip | Evaluation metric | Evaluation metric |
| Temeljni izvor≠ | 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 ↗ | Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗ |
| Drugi nazivi≠ | Phi Coefficient, Binary Classification Correlation | Sensitivity, True Positive Rate, TPR |
| Srodne | 5 | 5 |
| Sažetak≠ | 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. | Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly. |
| ScholarGateSkup podataka ↗ |
|
|