Table 3.
The performance metrics of the multiclass classification task achieved using the LDA, SVM, and RF classifier for scenarios I, II, and III.
| Models | Sensitivity | Specificity | Precision | F1 score |
|---|---|---|---|---|
| Scenario I | ||||
| LDA | 0.896 | 0.948 | 0.899 | 0.897 |
| SVM | 0.896 | 0.948 | 0.898 | 0.897 |
| RF | 0.911 | 0.955 | 0.913 | 0.911 |
| Scenario II | ||||
| LDA | 0.887 | 0.943 | 0.889 | 0.888 |
| SVM | 0.887 | 0.943 | 0.889 | 0.888 |
| RF | 0.889 | 0.945 | 0.892 | 0.890 |
| Scenario III | ||||
| LDA | 0.9 | 0.95 | 0.902 | 0.901 |
| SVM | 0.899 | 0.949 | 0.901 | 0.9 |
| RF | 0.903 | 0.951 | 0.905 | 0.904 |