Table 7.
Multiclass classification results of Model 3a and Model 3b for different evaluation metrics.
Classifier | Accuracy | Precision | Recall | F1 score | |
---|---|---|---|---|---|
Model 3a | Naïve Bayes | 89.8 | 89.7 | 89.3 | 89.5 |
SVM | 97.9 | 97.9 | 97.8 | 97.8 | |
Random forest | 88.8 | 88.5 | 88.5 | 88.4 | |
XGBoost | 94.6 | 94.5 | 94.4 | 94.4 | |
| |||||
Model 3b | Naïve Bayes | 97.3 | 97.3 | 97.2 | 97.2 |
SVM | 97.6 | 97.5 | 97.5 | 97.5 | |
Random forest | 97.8 | 97.8 | 97.7 | 97.7 | |
XGBoost | 97.6 | 97.5 | 97.5 | 97.5 |