Table 8.

Accuracy for 1 year or more mortality

No	Model	Training cohort		Validation cohort
		Number of models	Accuracy (95%CI)	Number of models	ACC (95% CI)
1	LR	12	0.7410 [0.7005; 0.7778]	8	0.7433 [0.7128; 0.7717]
2	RF	4	0.7982 [0.6922; 0.8744]	8	0.8032 [0.7253; 0.8632]
3	ANN	3	0.7481 [0.7252; 0.7697]	4	0.7995 [0.7004; 0.8718]
4	DT	4	0.7805 [0.6733; 0.8598]	1	0.7580 [0.7521; 0.7638]
5	SVM	2	0.6147 [0.5908; 0.6381]	6	0.7105 [0.6070; 0.7959]
6	XGBoost	3	0.8261 [0.7011; 0.9058]	2	0.7431 [0.6838; 0.7946]
7	NB	1	0.8698 [0.8499; 0.8874]
8	AdaBoost	1	0.8657 [0.8603; 0.8709]	2	0.8261 [0.7392; 0.8884]
9	KNN	1	0.8304 [0.8085; 0.8502]
10	Other			2	0.9370 [0.9208; 0.9501]
11	Overall	31	0.7697 [0.7360; 0.8002]	33	0.7837 [0.7455; 0.8175]