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Table 3 Performance of AI classification of texture and morphological features utilizing five different classifiers of COVID-19 (N = 130) vs viral 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 97.44 97.67 97.44 97.67 97.56 0.98 (0.96, 1.00) 2.00e−16
XGB-Tree 94.87 95.35 94.87 94.87 95.12 0.98 (0.95, 1.00) 2.00e−16
CART (DT) 94.87 93.02 92.50 95.24 93.90 0.94 (0.89, 0.99) 2.00e−16
KNN 69.63 88.37 84.38 76.00 79.27 0.85 (0.77, 0.94) 4.38e−07
Naïve Bayes 64.10 95.35 92.59 74.55 80.49 0.93 (0.88, 0.98) 1.20e−07