Table 3.
ROC scores
| Classification | Data Representation | ROC | |||
| Unsupervised (Pearson CC) | MirrorTree | 0.6587 | |||
| TreeSec | 0.6731 | ||||
| Gaussian Kernel SVM | MirrorTree | 0.7067 | |||
| TreeSec | 0.7436 | ||||
| TreeSec × 10 | 0.8446 | ||||
| TreeSec × 10 (no NJ) | 0.7196 | ||||
| TreeSec × 10 (random tree) | 0.5368 | ||||
| Polynomial degree | 2 | 3 | 4 | 5 | |
| Polynomial Kernel SVM | MirrorTree | 0.7212 | 0.5353 | 0.7003 | 0.5577 |
| TreeSec | 0.7196 | 0.5657 | 0.7179 | 0.6074 | |
| TreeSec × 10 | 0.7051 | 0.6426 | 0.7468 | 0.6619 | |
| TreeSec × 10 (no NJ) | 0.6987 | 0.5865 | 0.6907 | 0.6554 | |
| TreeSec × 10 (random tree) | 0.4696 | 0.4583 | 0.4503 | 0.5048 | |