TABLE 3.
Test set performances of kNN, RF, and representative spectrum classification models trained on real data only. Results are reported as average ± SD over ten random splits (see Materials and Method section for more details).
| kNN | |||
|---|---|---|---|
| Precision | Recall | F1‐score | |
| BZ | 0.75 ± 0.09 | 0.81 ± 0.11 | 0.77 ± 0.08 |
| PD | 0.85 ± 0.05 | 0.83 ± 0.07 | 0.83 ± 0.05 |
| HR | 0.84 ± 0.10 | 0.90 ± 0.09 | 0.87 ± 0.07 |
| RF | |||
|---|---|---|---|
| Precision | Recall | F1‐score | |
| BZ | 0.85 ± 0.08 | 0.84 ± 0.08 | 0.84 ± 0.07 |
| PD | 0.88 ± 0.07 | 0.85 ± 0.05 | 0.86 ± 0.05 |
| HR | 0.90 ± 0.07 | 0.95 ± 0.05 | 0.92 ± 0.05 |
| Representative spectrum | |||
|---|---|---|---|
| Precision | Recall | F1‐score | |
| BZ | 0.84 ± 0.11 | 0.55 ± 0.12 | 0.65 ± 0.10 |
| PD | 0.76 ± 0.08 | 0.51 ± 0.09 | 0.61 ± 0.08 |
| HR | 0.52 ± 0.05 | 0.99 ± 0.03 | 0.68 ± 0.04 |