Table 3.

Prediction (classification) results for presepsin groups (positive, negative) using the XGBoost algorithm, with missing data.

Dataset (n = 216)	Algorithm	Precision	Recall	F1 Score	ROC AUC	Accuracy (Cross Validation, k = 5)
Routine laboratory parameters ∼ presepsin Classification	XGBoost (with missing data)	0.91	0.91	0.91	0.98	0.86