Table 9 Comparative analysis of different performance metrics for each class on PTB dataset.

From: A hybrid ResNet-ViT approach to bridge the global and local features for myocardial infarction detection

Class

Accuracy (%)

Precision

Recall

F1 Score

1

98.65

0.95

0.93

0.94

2

98.65

0.92

0.96

0.94

3

98.43

0.9

0.96

0.93

4

99.21

0.99

0.94

0.97

5

98.65

0.94

0.94

0.94

6

98.76

0.94

0.95

0.94

7

99.21

0.98

0.95

0.96

8

99.33

0.99

0.95

0.97

9

98.54

0.92

0.95

0.93

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