Table 8.
Multiclass classification results for the first feature set.
| Model | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|
| Random Forest | 99.945% | 99.945% | 99.945% | 99.945% |
| Decision Tree | 99.917% | 99.918% | 99.917% | 99.917% |
| LSTM | 99.862% | 99.862% | 99.864% | 99.863% |
| GRU | 99.862% | 99.861% | 99.865% | 99.863% |
| MLP | 99.862% | 99.861% | 99.865% | 99.863% |
| RNN | 99.807% | 99.806% | 99.811% | 99.808% |
| SVM | 94.056% | 94.661% | 94.056% | 94.122% |