Table 5 Training and testing performance metric of CNN on private alpha 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 (%)

71.47

28.53

Nil

71.47

0

28.53

Nil

0

100

Testing

70.87

29.13

Nil

70.87

0

29.13

Nil

0

100

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