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Prediction results of the SVM classifier.
| Datasets | No. of samples | Prediction error | Accuracy | Sensitivity | Specificity | PPV | NPV | AUROC |
|---|---|---|---|---|---|---|---|---|
| GSE21257 | 53 | 0 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| GSE32981 | 23 | 0 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| GSE14827 | 27 | 2 | 0.926 | 1.000 | 0.889 | 0.818 | 1.000 | 0.931 |
| GSE14359 | 18 | 0 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
SVM, support vector machine; PPV, positive predictive value; NPV, negative predictive value; AUROC, area under the ROC curve.
