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| Matthews-Korrelationskoeffizient× | Youdens J-Statistik× | |
|---|---|---|
| Fachgebiet | Modellevaluation | Modellevaluation |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 1975 | 1950 |
| Urheber≠ | Brian W. Matthews | W. J. Youden |
| Typ | Evaluation metric | Evaluation metric |
| Wegweisende Quelle≠ | 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 ↗ | Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. DOI ↗ |
| Aliasnamen | Phi Coefficient, Binary Classification Correlation | Youden Index, Sensitivity + Specificity - 1 |
| Verwandt≠ | 5 | 3 |
| Zusammenfassung≠ | 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. | Youdens J statistic, also called the Youden index, measures the maximum difference between the true positive rate and false positive rate across different classification thresholds. It is useful for selecting optimal cutoff points in diagnostic testing. |
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