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)
0.859 [0.667–1.000]
0.850 [0.713–0.986]
0.761 [0.445–1.000]
0.740 [0.505–0.975]

Accuracy (95% CI)
0.812 [0.593–0.971]
0.785 [0.630–0.941]
0.800 v0.509–1.000]
0.666 [0.411–0.922]

Sensitivity (95% CI)
0.750 [0.503–0.996]
0.615 [0.437–0.792]
0.857 [0.612–1.000]
0.666 [0.411–0.922]

Specificity (95% CI)
0.875 [0.693–1.000]
0.824 [0.679–0.969]
0.666 [0.300–1.000]
0.666 [0.411–0.922]

PPV (95% CI)
0.857 [0.663–1.000]
0.444 [0.274–0.614]
0.857 [0.612–1.000]
0.666 [0.411–0.922]

NPV (95% CI)
0.777 [0.542–0.940]
0.903 [0.790–1.000]
0.666 [0.300–1.000]
0.666 [0.411–0.922]

F1 score (95% CI)
0.799 [0.574–1.000]
0.516 [0.339–0.692]
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.