Table 3.
Summary of classification performance of biomarkers and SVM model (PPV, positive predictive value; NPV, negative predictive value).
| Biomarker | Accuracy (%) | PPV | NPV | AUC ROC |
|---|---|---|---|---|
| Directionality (avg) | 100 | 1.0 | 1.0 | — |
| Directionality (min) | 100 | 1.0 | 1.0 | — |
| Directionality (max) | 100 | 1.0 | 1.0 | — |
| Intensity diff. − v1 (max) | 79.2 | 0.667 | 0.917 | 0.750 |
| Intensity diff. − v1 (avg) | 75.0 | 0.500 | 1.0 | 0.778 |
| Intensity diff. − v2 (avg) | 75.0 | 0.583 | 0.917 | 0.750 |
| Intensity diff. − v2 (max) | 75.0 | 0.667 | 0.833 | 0.736 |
| Intensity diff. − v2 (min) | 70.8 | 0.500 | 0.917 | 0.701 |
| Intensity diff. − v1 (min) | 62.5 | 0.667 | 0.569 | 0.569 |
| SVM model | 75.0 | 0.800 | 0.714 | — |
Bold values show highest scores.