Table 6.
The performance metrics of the binary and multiclass classification tasks achieved using the LDA, SVM, RF, and ensemble classifiers for scenarios V.
Models | Sensitivity | Specificity | Precision | F1 score |
---|---|---|---|---|
Binary Class Task | ||||
LDA | 0.98 | 0.98 | 0.981 | 0.98 |
SVM | 0.988 | 0.988 | 0.988 | 0.988 |
RF | 0.976 | 0.977 | 0.976 | 0.976 |
Voting | 0.988 | 0.988 | 0.988 | 0.988 |
Multiclass Task | ||||
LDA | 0.915 | 0.957 | 0.917 | 0.915 |
SVM | 0.9 | 0.95 | 0.903 | 0.901 |
RF | 0.908 | 0.954 | 0.910 | 0.909 |
Voting | 0.917 | 0.959 | 0.919 | 0.918 |