Table 3 Comparison analysis of AHARDP-DLSO approach with existing models18,19,37,38,39.
Model | \(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\) | \(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\) | \(\:\varvec{R}\varvec{e}\varvec{c}{\varvec{a}}_{\varvec{l}}\) | \(\:{\varvec{F}}_{\varvec{S}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\) |
|---|---|---|---|---|
AHARDP-DLSO | 95.81 | 87.52 | 87.40 | 87.40 |
SVM | 90.29 | 85.68 | 86.14 | 84.24 |
GRU | 89.98 | 86.44 | 81.29 | 86.34 |
At-CapNet | 92.33 | 82.12 | 85.73 | 84.16 |
CNN-LSTM | 95.25 | 81.38 | 81.64 | 86.27 |
CNN Classifier | 93.32 | 80.54 | 84.52 | 86.81 |
Baseline Model | 89.55 | 85.06 | 86.58 | 83.73 |
VGG16 Model | 89.32 | 85.64 | 80.74 | 85.75 |
Inception-V3 | 91.54 | 81.35 | 85.02 | 83.51 |
Xception Model | 90.17 | 80.36 | 85.42 | 86.03 |
EfficientNet B0 | 89.11 | 85.25 | 84.52 | 83.26 |
