Table 6.
Binary-classification results of Model 3a and Model 3b for different evaluation metrics.
Classifier | Accuracy | Precision | Recall | F1 score | |
---|---|---|---|---|---|
Model 3a | Naïve Bayes | 94.0 | 94.0 | 94.0 | 94.0 |
SVM | 100 | 100 | 100 | 100 | |
Random forest | 99.0 | 99.0 | 99.0 | 99.0 | |
XGBoost | 99.0 | 99.0 | 99.0 | 99.0 | |
| |||||
Model 3b | Naive Bayes | 100 | 100 | 100 | 100 |
SVM | 100 | 100 | 100 | 100 | |
Random forest | 100 | 100 | 100 | 100 | |
XGBoost | 99 | 99 | 99 | 99 |