Usporedite metode
Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.
| Matrica zabune× | Koeficijent korelacije Matthevsa× | |
|---|---|---|
| Područje | Evaluacija modela | Evaluacija modela |
| Obitelj | MCDM | MCDM |
| Godina nastanka≠ | 20th century | 1975 |
| Tvorac≠ | Statistical foundations | Brian W. Matthews |
| Vrsta≠ | Evaluation visualization | Evaluation metric |
| Temeljni izvor≠ | 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 ↗ |
| Drugi nazivi | Error Matrix, Contingency Table | Phi Coefficient, Binary Classification Correlation |
| Srodne | 5 | 5 |
| Sažetak≠ | 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. |
| ScholarGateSkup podataka ↗ |
|
|