Table 8.
Binary-classification results of Model 4a and Model 4b for different evaluation metrics.
Classifier | Accuracy | Precision | Recall | F1 score | |
---|---|---|---|---|---|
Model 3a | Naïve Bayes | 95 | 95 | 95 | 95 |
SVM | 100 | 100 | 100 | 100 | |
Random forest | 100 | 100 | 100 | 100 | |
XGBoost | 99 | 99 | 99 | 99 | |
| |||||
Model 3b | Naïve Bayes | 100 | 100 | 100 | 100 |
SVM | 100 | 100 | 100 | 100 | |
Random forest | 100 | 100 | 100 | 100 | |
XGBoost | 100 | 100 | 100 | 100 |