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Diagnostic performance of genetic signature on patient samples
| Classifier | SVM, % | LDA, % |
|---|---|---|
| Sensitivity | 100 | 92.3 |
| Specificity | 100 | 100 |
| Positive predictive value | 100 | 100 |
| Negative predictive value | 100 | 95.2 |
| Accuracy* | 100 | 97.0 |
Accuracy refers to the rate of correct predictions and is equal to the sum of true positive and true negative observations divided by the total number of observations. SVM, Support Vector Machine; LDA, Linear Discriminant Analysis.
