Table 3.

Comparison of the ROC-AUC of the used ML strategies in different patient groups.

	All patients	AB naïvety	Patients with 2 SIRS criteria	Patients with 3 SIRS criteria	Patients with 4 SIRS criteria
n	466	380	182	213	71
Bacteraemia rate	28.8%	30.5%	28.6%	27.2%	33.8%
PCT	0.729 (0.679–0.779)	0.734 (0.680–0.787)	0.679 (0.598–0.762)	0.756 (0.678–0.833)	0.751 (0.633–0.869)
rf	0.738 (0.606–0.870)	0.727 (0.548–0.905)	0.698 (0.349–0.999)	0.781 (0.573–0.988)	0.585 (0.188–0.981)
nn	0.698 (0.549–0.857)	0.688 (0.499–0.876)	0.640 (0.355–0.925)	0.714 (0.497–0.930)	0.583 (0.181–0.985)
en	0.654 (0.493–0.815)	0.627 (0.396–0.858)	0.594 (0.334–0.854)	0.690 (0.466–0.914)	0.612 (0.214–0.999)

PCT = procalcitonin, rf = random forest, nn = neural network, en = elastic net.