Table 3.
Comparative analysis of AIFSDL-PCD approach with existing techniques.
| Methods | Accuracy | 
|---|---|
| PLR-MC | 0.9460 | 
| RFLD-MC | 0.9340 | 
| Bio-HEL | 0.9400 | 
| SVM model | 0.9120 | 
| GA-KNN + SVM | 0.8571 | 
| CSF-RC | 0.9510 | 
| Optimal DNN | 0.9621 | 
| AIFSDL-PCD | 0.9719 | 
Comparative analysis of AIFSDL-PCD approach with existing techniques.
| Methods | Accuracy | 
|---|---|
| PLR-MC | 0.9460 | 
| RFLD-MC | 0.9340 | 
| Bio-HEL | 0.9400 | 
| SVM model | 0.9120 | 
| GA-KNN + SVM | 0.8571 | 
| CSF-RC | 0.9510 | 
| Optimal DNN | 0.9621 | 
| AIFSDL-PCD | 0.9719 |