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Table 10 Mean ± standard deviation of the results obtained in the test stage for the classification of chest X-ray images between Non-COVID-19 VS COVID-19 after 5 independent repetitions

From: Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?

Exp.

Class

Precision

Recall

F1-Score

<40

Non-COVID-19

0.9754 ± 0.0141

0.9625 ± 0.0344

0.9688 ± 0.0231

 

COVID-19

0.9617 ± 0.0352

0.9725 ± 0.0157

0.9669 ± 0.0226

40-50

Non-COVID-19

0.9707 ± 0.0155

0.9821 ± 0.0154

0.9762 ± 0.0059

 

COVID-19

0.9812 ± 0.0189

0.9701 ± 0.0184

0.9754 ± 0.0093

50-60

Non-COVID-19

0.9849 ± 0.0096

0.9802 ± 0.0105

0.9825 ± 0.0078

 

COVID-19

0.9785 ± 0.0123

0.9840 ± 0.0096

0.9812 ± 0.0084

60-70

Non-COVID-19

0.9925 ± 0.0043

0.9898 ± 0.0041

0.9911 ± 0.0016

 

COVID-19

0.9901 ± 0.0039

0.9927 ± 0.0043

0.9914 ± 0.0011

70-80

Non-COVID-19

0.9950 ± 0.0052

0.9850 ± 0.0069

0.9900 ± 0.0046

 

COVID-19

0.9846 ± 0.0072

0.9947 ± 0.0053

0.9896 ± 0.0047

≥ 80

Non-COVID-19

0.9429 ± 0.0547

0.9107 ± 0.0633

0.9250 ± 0.0426

 

COVID-19

0.9068 ± 0.0573

0.9380 ± 0.0695

0.9206 ± 0.0480