Table 7 Five-fold cross-validation performance metrics.

From: Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets

Fold

Accuracy

Sensitivity

Specificity

Precision

Recall

F1-Score

AUC

Fold 1

0.9887

0.9816

0.9852

0.9778

0.9861

0.9874

0.9919

Fold 2

0.9945

0.9806

0.9947

0.9796

0.9814

0.9804

0.9884

Fold 3

0.9923

0.9887

0.9933

0.9829

0.9829

0.9842

0.9875

Fold 4

0.9910

0.9860

0.9871

0.9815

0.9837

0.9851

0.9946

Fold 5

0.9866

0.9871

0.9868

0.9794

0.9846

0.9786

0.9947

Avg

0.9906

0.9848

0.9894

0.9802

0.9837

0.9831

0.9914