Table 2 Precision, sensitivity, F1-score, and AUC results of the model inferred with test set.

From: Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types

 

Precision

sensitivity

F1-score

AUC

Normal renal tissue

0.959 (0.958–0.960)

0.910 (0.908–0.911)

0.934 (0.933–0.934)

0.987 (0.986–0.987)

Benign tumor

0.620 (0.617–0.623)

0.764 (0.760–0.767)

0.684 (0.682–0.687)

0.949 (0.949–0.950)

Malignant tumor

0.887 (0.886–0.888)

0.869 (0.868–0.871)

0.878 (0.877–0.879)

0.957 (0.957–0.958)

Weighted Avg

0.887 (0.886–0.888)

0.874 (0.874–0.875)

0.879 (0.879–0.880)

0.969 (0.969–0.969)