[Retracted] A Machine Learning Model for Early Prediction and Detection of Sepsis in Intensive Care Unit Patients

Table 1

Various models with the accuracy, precision, recall, specificity, F1 score, and AUC.

Models	Accuracy	Precision	Recall	Specificity	F1 score	AUC
Random forest (RF) model	0.90	0.95	0.88	0.94	0.94	0.91
Linear regression (LR) model	0.73	0.58	0.82	0.69	0.68	0.76
Support vector machine (SVM) model	0.93	0.94	0.90	0.97	0.94	0.93
Naive Bayes classifier (NB)	0.74	0.68	0.88	0.61	0.77	0.74
Ensemble model (of SVM, RF, NB, and LR)	0.94	0.90	0.93	0.89	0.91	0.94
XGBoost	0.95	0.97	0.92	0.97	0.97	0.95
Proposed ensemble model (of SVM, RF, NB, LR, and XGBoost)	0.96	0.98	0.94	0.97	0.98	0.96