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Table 2 Performance of AI classification of texture and morphological features utilizing five different classifiers of COVID-19 (N = 130) vs bacterial pneumonia (N = 145)

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

Classifier Sensitivity (%) Specificity (%) PPV (%) NPV (%) Accuracy (%) AUC (LB, UP) p value
XGB-L 95.35 97.44 97.62 95.00 96.34 0.98 (0.96, 1.00) 2.19e−14
XGB-Tree 88.37 94.87 95.00 88.10 91.46 0.97 (0.93, 1.00) 2.19e−14
CART (DT) 74.42 97.44 96.97 77.55 85.37 0.92 (0.87, 0.98) 3.22e−10
KNN 86.05 56.41 68.52 78.57 71.95 0.83 (0.74, 0.92) 2.40e−04
Naïve Bayes 90.70 79.49 82.98 88.51 85.37 0.92 (0.85, 0.98) 3.22e−10