Table 12.
Multiclass classification results for the third feature set.
| Model | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|
| Random Forest | 99.917% | 99.918% | 99.917% | 99.917% |
| Decision Tree | 99.862% | 99.863% | 99.862% | 99.862% |
| GRU | 99.697% | 99.693% | 99.702% | 99.697% |
| MLP | 99.642% | 99.638% | 99.646% | 99.641% |
| LSTM | 99.56% | 99.557% | 99.565% | 99.561% |
| RNN | 99.56% | 99.556% | 99.566% | 99.56% |
| SVM | 89.351% | 89.603% | 89.351% | 89.347% |