Table 3 BC detection of LMIBCD-DL approach with 100X dataset under 80%TRAPA and 20%TESPA.
Class Labels | \(\:\varvec{A}\varvec{c}\varvec{c}\varvec{u}{\varvec{r}}_{\varvec{y}}\) | \(\:\varvec{S}\varvec{e}\varvec{n}{\varvec{s}}_{\varvec{y}}\) | \(\:\varvec{S}\varvec{p}\varvec{e}{\varvec{c}}_{\varvec{y}}\) | \(\:\varvec{F}{1}_{\varvec{S}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\) | MCC |
|---|---|---|---|---|---|
TRAPA (80%) | |||||
Benign | 97.28 | 97.28 | 99.48 | 98.04 | 97.18 |
Malignant | 99.48 | 99.48 | 97.28 | 99.13 | 97.18 |
Average | 98.38 | 98.38 | 98.38 | 98.59 | 97.18 |
TESPA (20%) | |||||
Benign | 96.15 | 96.15 | 99.65 | 97.66 | 96.64 |
Malignant | 99.65 | 99.65 | 96.15 | 98.96 | 96.64 |
Average | 97.90 | 97.90 | 97.90 | 98.31 | 96.64 |
