Table 17.
Results for classification models when trained using the physical appearance attributes.
| Model | Accuracy | Precision | Recall | F1 Score | 
|---|---|---|---|---|
| SVM | 71.1% | 72.8% | 71.2% | 0.708 | 
| KNN | 75.4% | 76.8% | 75.3% | 0.750 | 
| AdaBoost | 72.3% | 73.5% | 72.1% | 0.719 | 
Results for classification models when trained using the physical appearance attributes.
| Model | Accuracy | Precision | Recall | F1 Score | 
|---|---|---|---|---|
| SVM | 71.1% | 72.8% | 71.2% | 0.708 | 
| KNN | 75.4% | 76.8% | 75.3% | 0.750 | 
| AdaBoost | 72.3% | 73.5% | 72.1% | 0.719 |