Skip to main content
. 2021 Jul 29;33(24):17589–17609. doi: 10.1007/s00521-021-06344-5

Table 9.

Performance results of VGG19 on internal dataset

KFold Accuracy Precision Recall Specificity F1-score
Without GAN Fold1 0.9847 0.9968 0.9720 0.9970 0.9842
Fold2 0.9847 0.9937 0.9751 0.9940 0.9843
Fold3 0.9863 0.9937 0.9782 0.9940 0.9859
Fold4 0.9878 0.9906 0.9844 0.9910 0.9875
Fold5 0.9878 0.9937 0.9813 0.9940 0.9875
Overall 0.9863 0.9937 0.9782 0.9940 0.9859
With GAN Fold1 0.9847 0.9875 0.9813 0.9880 0.9844
Fold2 0.9847 0.9875 0.9813 0.9880 0.9844
Fold3 0.9893 0.9906 0.9875 0.9910 0.9891
Fold4 0.9893 0.9906 0.9875 0.9910 0.9891
Fold5 0.9893 0.9906 0.9875 0.9910 0.9891
Overall 0.9875 0.9894 0.9850 0.9898 0.9872