TABLE 7.

Evaluation of the model’s effectiveness of the eight pathogens.

Pathogen		Total	Positive	AUC	ACC a	Precision	Sensitivity	Specificity	PPV	NPV	AUC-95% CI
A. baumannii	Train	272	22	0.9776	0.8824	0.4074	1	0.872	0.4074	1	0.98 (0.9611-0.9941)
	Val	117	10	0.8771	0.8632	0.375	0.9	0.8598	0.375	0.9892	0.88 (0.7268-1)
K. pneumoniae	Train	366	24	0.9846	0.8852	0.3594	0.9583	0.8801	0.3594	0.9967	0.98 (0.9647-1)
	Val	157	11	0.8437	0.8599	0.3103	0.8182	0.863	0.3103	0.9844	0.84 (0.645-1)
S. pneumoniae	Train	328	15	0.9955	0.9177	0.3571	1	0.9137	0.3571	1	1.00 (0.9866-1)
	Val	141	7	0.9829	0.8582	0.2593	1	0.8507	0.2593	1	0.98 (0.958-1)
S. aureus	Train	280	15	0.9648	0.8679	0.2885	1	0.8604	0.2885	1	0.96 (0.9385-0.9911)
	Val	121	6	0.987	0.8926	0.3158	1	0.887	0.3158	1	0.99 (0.967-1)
H. influenzae	Train	196	20	0.9852	0.8673	0.4318	0.95	0.858	0.4318	0.9934	0.99 (0.9686-1)
	Val	85	9	0.9927	0.8706	0.45	1	0.8553	0.45	1	0.99 (0.9771-1)
S. maltophilia	Train	273	23	0.9922	0.9084	0.4792	1	0.9	0.4792	1	0.99 (0.9837-1)
	Val	117	10	0.9794	0.9145	0.5	1	0.9065	0.5	1	0.98 (0.956-1)
P. aeruginosa	Train	268	23	0.9283	0.7724	0.2683	0.9565	0.7551	0.2683	0.9946	0.93 (0.8853-0.9713)
	Val	115	10	0.9943	0.8696	0.4	1	0.8571	0.4	1	0.99 (0.9844-1)
A. fumigatus	Train	386	19	0.989	0.943	0.4634	1	0.9401	0.4634	1	0.99 (0.9796-0.9983)
	Val	166	8	0.9866	0.9639	0.5714	1	0.962	0.5714	1	0.99 (0.971-1)

^a ACC: accuracy, the probability that the algorithm makes a correct judgment on the current dataset.