Table 9.
Classification results on the test set considering training with five different hyperparameters setting obtained from Bayesian optimization
HS | Accuracy (%) | Precision (%) | Recall (%) | F1-Score (%) |
---|---|---|---|---|
1 | 92.31 | 92.56 | 92.31 | 92.30 |
2 | 98.08 | 98.15 | 98.08 | 98.08 |
3 | 98.08 | 98.15 | 98.08 | 98.08 |
4 | 57.69 | 68.84 | 57.69 | 50.35 |
5 | 55.77 | 76.53 | 55.77 | 45.01 |
Average | 80.39 ± 0.21 | 86.85 ± 0.13 | 80.39 ± 0.21 | 76.76 ± 0.26 |