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)

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