Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3

Table 3 Results displaying classical ML outcomes and stacking classification outcomes

	Classical ML Model Result					Stacking-Based Meta Classifier Result
Classifiers	Accuracy	Precision	Recall	Specificity	F1-Score	Accuracy	Precision	Recall	Specificity	F1-Score
*MLP*	80.5	84.19	80.04	72.86	81.44	94.88	95.41	94.88	94.39	95.02
XGBoost	82.85	83.95	82.86	66.28	83.33	94.29	94.96	94.29	93.97	94.48
LR	76.63	83.81	76.62	75.45	78.75	95.52	95.79	95.52	93.65	95.60
ET	94.72	95.34	94.72	94.75	94.88	94.62	95.27	94.62	94.73	94.79
AdaBoost	79.98	82.97	79.98	67.70	81.09	93.51	94.45	93.51	93.79	93.76
GB	86.91	86.32	86.91	64.43	86.54	93.25	94.30	93.26	93.81	93.53
CatBoost	87.95	87.53	87.95	68.12	87.69	93.35	94.40	93.35	94.15	93.63
RF	82.83	83.92	82.83	66.18	83.29	93.87	94.69	93.87	93.97	94.09
DT	78.07	80.99	78.06	62.24	79.22	94.81	94.89	94.81	89.34	94.84

ISSN: 1472-6947