Table 5 Fold cross validation results.

From: Proposed dense variational autoencoder model integrated with contrastive learning for foot ulcer classification

Fold

Accuracy

Precision

Recall

F-1

ROC-AUC

Fold 1

0.992

0.991

0.990

0.991

0.995

Fold 2

0.995

0.994

0.993

0.993

0.994

Fold 3

0.983

0.981

0.983

0.982

0.989

Fold 4

0.994

0.993

0.992

0.993

0.995

Fold 5

0.994

0.992

0.990

0.991

0.992

Mean ± SD

0.992 ± 0.005

0.990 ± 0.005

0.991 ± 0.006

0.990 ± 0.004

0.993 ± 0.003

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