Table 20.
Results for the classification models when trained using face and eye behaviour attributes.
| Accuracy | Precision | Recall | F1 Score | |
|---|---|---|---|---|
| SVC | 86.0% | 87.1% | 86.3% | 0.860 |
| KNN | 85.8% | 86.9% | 85.7% | 0.856 |
| AdaBoost | 87.0% | 87.7% | 87.1% | 0.870 |
Results for the classification models when trained using face and eye behaviour attributes.
| Accuracy | Precision | Recall | F1 Score | |
|---|---|---|---|---|
| SVC | 86.0% | 87.1% | 86.3% | 0.860 |
| KNN | 85.8% | 86.9% | 85.7% | 0.856 |
| AdaBoost | 87.0% | 87.7% | 87.1% | 0.870 |