Table S5.
Exported feature set performance (similar platform).
| Feature set similar platforms | RF | R-SVM | S-SVM | Across | ||||||||
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| Method | Sen | Spe | bAcc | Sen | Spe | bAcc | Sen | Spe | bAcc | Sen | Spe | bAcc |
| MG | 71 | 46 | 59 | 68 | 69 | 69 | 73 | 72 | 73 | 71 | 62 | 67 |
| SG | 76 | 39 | 58 | 67 | 71 | 69 | 71 | 71 | 71 | 71 | 60 | 66 |
Notes: The table shows the mean sensitivity, specificity and balanced accuracies for external validation of feature sets covering the following validation: Feature sets defined by AF1 and validated in AF2 and AF3. Feature sets defined by AF2 and validated in AF3 and vice versa, using either metagenes (MG) or single genes (SG) as features and using random forest (RF), support vector machine with a radial-based kernel (R-SVM) or a sigmoid kernel (S-SVM). Across shows the mean of the results across the three classification methods.