Table 3 Comparative outcomes of the HAODVIP-ADL approach with existing techniques20,36,37,38.
Techniques | \(\:Acc{u}_{y}\) | \(\:Pre{c}_n\) | \(\:Rec{a}_{l}\) | \(\:{F}_{measure}\) |
|---|---|---|---|---|
IOD155 + tfidf | 83.38 | 87.52 | 88.12 | 88.28 |
IOD90 + tfidf | 83.63 | 87.61 | 87.51 | 88.70 |
Xception + tfidf | 71.41 | 88.97 | 89.09 | 86.73 |
YOLOv5n | 93.00 | 87.94 | 90.05 | 88.91 |
YOLOv5m | 93.60 | 94.03 | 87.82 | 89.84 |
Retina Net | 98.60 | 95.27 | 91.55 | 92.55 |
Yolo Tiny | 80.70 | 88.10 | 88.64 | 87.85 |
Yolo V3 | 77.60 | 88.92 | 87.82 | 87.10 |
ResNET101 | 86.13 | 90.12 | 91.30 | 91.69 |
SVM | 86.83 | 91.26 | 90.36 | 91.75 |
LDA | 94.37 | 93.15 | 91.02 | 90.59 |
HAODVIP-ADL | 99.74 | 96.41 | 91.41 | 93.42 |
