alabnii/sciclaimeval-shared-task huggingface dataset:
Styled Table

Table 2
The performance of the BiAMIL in predictingBRCAPV in hormone receptor + and triple-negative breast cancer.

Hormone receptor + breast cancer
Triple-negative breast cancer

Internal test
External test
Internal test
External test

AUC (95% CI)
0.659 [0.467–0.800]
0.650 [0.513–0.786]
0.761 [0.445–1.000]
0.740 [0.505–0.975]

Accuracy (95% CI)
0.612 [0.393–0.771]
0.585 [0.430–0.741]
0.800 v0.509–1.000]
0.666 [0.411–0.922]

Sensitivity (95% CI)
0.550 [0.303–0.796]
0.415 [0.237–0.592]
0.857 [0.612–1.000]
0.666 [0.411–0.922]

Specificity (95% CI)
0.675 [0.493–0.800]
0.624 [0.479–0.769]
0.666 [0.300–1.000]
0.666 [0.411–0.922]

PPV (95% CI)
0.657 [0.463–0.800]
0.244 [0.074–0.414]
0.857 [0.612–1.000]
0.666 [0.411–0.922]

NPV (95% CI)
0.577 [0.342–0.740]
0.703 [0.590–0.800]
0.666 [0.300–1.000]
0.666 [0.411–0.922]

F1 score (95% CI)
0.599 [0.374–0.800]
0.316 [0.239–0.492]
0.857 [0.612–1.000]
0.666 [0.411–0.922]

Note: AUC, area under the curve; PPV, positive predictive value; NPV, negative predictive value.