Table 2 K-fold cross-validation results.

From: Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach

Fold

Accuracy (%)

Precision

Recall

F1-score

1

96.5

0.95

0.96

0.955

2

97.2

0.96

0.97

0.965

3

96.8

0.95

0.97

0.96

4

97.1

0.96

0.97

0.965

5

97.0

0.96

0.97

0.965

  1. The results confirm the model’s robustness, with an overall accuracy of 97%
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