Table 12 Training and testing performance metric of CNN on public beta thalassemia dataset.

From: A comprehensive case study of deep learning on the detection of alpha thalassemia and beta thalassemia using public and private datasets

Training

Accuracy (%)

Misclassification rate (%)

Sensitivity (%)

Specificity (%)

F1 Score (%)

False positive rate

False negative rate

False omission rate (%)

False discovery rate (%)

93.71

6.29

92.76

100

96.25

0

7.24

32.35

0

Testing

96

4

95.52

100

97.71

0

4.48

27.27

0

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