TABLE 1.
The confusion matrix
| Predicted Class | ||
|---|---|---|
| True class | Positive | Negative |
| Positive | A | B |
| Negative | C | D |
Accuracy = (A + D)/(A + B + C+ D).
Sensitivity = A/(A +B).
Specificity = D/(D + C).
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