Table 23.
Results for each set individually.
| Attributes | Model | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|
| Physical appearance | SVC | 71.00% | 72.80% | 71.20% | 70.80% |
| KNN | 75.40% | 76.80% | 75.30% | 75.00% | |
| AdaBoost | 72.30% | 73.50% | 72.10% | 71.90% | |
| Space and Environment Attribute | SVC | 80.64% | 84.31% | 80.11% | 79.87% |
| KNN | 83.86% | 86.82% | 83.44% | 83.01% | |
| Adaboost | 80.64% | 81.98% | 80.33% | 79.96% | |
| Body Gestures and Actions | SVC | 89.24% | 89.86% | 89.33% | 89.18% |
| KNN | 90.35% | 90.86% | 90.44% | 90.30% | |
| Adaboost | 88.19% | 88.71% | 88.33% | 88.16% | |
| Face and Eye Behaviours | SVC | 86.02% | 87.10% | 86.33% | 85.97% |
| KNN | 85.85% | 86.86% | 85.67% | 85.62% | |
| Adaboost | 87.02% | 87.66% | 87.11% | 86.98% |