Table 3 Comparative outcome of AFHDC MOADL technique with existing methods.
Methods | \(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\) | \(\:\varvec{A}\varvec{U}{\varvec{C}}_{\varvec{S}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\) | \(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\) |
|---|---|---|---|
ANN Algorithm | 87.00 | 77.84 | 71.26 |
RF classifier | 90.00 | 91.33 | 88.58 |
Maternal NET RF | 97.00 | 96.22 | 94.88 |
Decision Tree | 96.87 | 94.64 | 96.00 |
K nearest neighbor | 95.23 | 95.30 | 90.00 |
Logistic regression | 94.79 | 95.02 | 96.00 |
AFHDC MOADL | 97.27 | 99.91 | 98.59 |
