Table 4.
Number of potential outliers detected by machine learning methods.
| Method | Diameter 1 | Thickness 1 | Diameter 2 | Thickness 2 | Diameter 3 | Thickness 3 |
|---|---|---|---|---|---|---|
| Isolation forest | 6 | 1 | 1 | 0 | 2 | 1 |
| DBSCAN | 2 | 2 | 1 | 1 | 2 | 0 |
| KNN | 1 | 2 | 1 | 1 | 2 | 1 |
| LOF | 99 - Hard to interpret | |||||
| OSVM | 5 | 6 | 7 | |||
| EllipticEnvelope | 1 | 1 | 1 | 0 | 3 | 0 |
| Autoencoder | 20 | |||||