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Table 4 Two-class classification using XGB-linear with texture + morphological features for COVID-19 (N = 130) vs bacterial pneumonia (N = 145), COVID-19 vs non-COVID-19 viral (N = 145) and COVID-19 vs normal (N = 138)

From: Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

Classification

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

Accuracy (%)

AUC

COVID-19 vs bacterial pneumonia

95.35

97.44

97.62

95.00

96.34

0.98

COVID-19 vs non-COVID-19 viral pneumonia

97.44

97.67

97.44

97.67

97.56

0.98

COVID-19 vs normal

100

100

100

100

100

1.00