BMC Nephrology

Table 3 IDH machine learning results

From: Research on the development of an intelligent prediction model for blood pressure variability during hemodialysis

	XGBoost	SVM	KNN	DT	RF	LR	NB	AdaBoost	LightGBM	CatBoost
ROC-AUC	0.89	0.87	0.84	0.72	0.89	0.79	0.74	0.81	0.88	0.89
PR-AUC	0.95	0.94	0.92	0.89	0.95	0.90	0.85	0.91	0.95	0.95
accuracy	0.84	0.82	0.81	0.76	0.83	0.76	0.71	0.77	0.83	0.84
precision	0.87	0.83	0.84	0.84	0.85	0.79	0.82	0.80	0.85	0.86
recall	0.93	0.93	0.90	0.83	0.92	0.90	0.76	0.90	0.93	0.92
F1-score	0.90	0.88	0.87	0.83	0.88	0.84	0.79	0.85	0.88	0.89

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