Table 10.
Multiclass classification results for the second feature set.
| Model | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|
| Random Forest | 99.89% | 99.89% | 99.89% | 99.89% |
| Decision Tree | 99.862% | 99.863% | 99.862% | 99.862% |
| MLP | 96.34% | 96.372% | 96.375% | 96.354% |
| GRU | 96.23% | 96.276% | 96.25% | 96.249% |
| LSTM | 96.01% | 96.042% | 96.042% | 99.022% |
| RNN | 95.019% | 95.126% | 95.027% | 95.049% |
| SVM | 75.482% | 78.481% | 75.482% | 75.218% |