Table 1. Comparison of classification performance within datasets.
| Methods | Benign–PCA | PCA–Mets |
|---|---|---|
| DRW-GM | 0.9684 ± 0.0834 | 0.9992 ± 0.0123 |
| DRW | 0.9581 ± 0.1037 | 0.9980 ± 0.0281 |
| PAC | 0.9078 ± 0.1520 | 0.9473 ± 0.1165 |
| Mean | 0.8389 ± 0.1845 | 0.8275 ± 0.2083 |
| Median | 0.8224 ± 0.1859 | 0.8581 ± 0.1854 |
| Genes | 0.8436 ± 0.2007 | 0.8654 ± 0.1997 |
Shown are the average AUC and the standard deviation. The classification evaluation is performed according to within-dataset experiments on GSE8511. The AUC shown in bold is the best AUC for the corresponding two phenotypes (Benign–PCA and PCA–Mets).