Preadmission assessment of extended length of hospital stay with RFECV-ETC and hospital-specific data

Table 5 Prediction accuracy of ELOHS and NLOHS with RFECV-ETC algorithm for the best model (T#10)

Folds	Class	Precision	Recall	F1 Score	BACC	AUC
1	NLOHS	0.7	0.91	0.79	0.7612	0.8135
1	ELOHS	0.87	0.61	0.72	0.7612	0.8135
2	NLOHS	0.79	0.89	0.84	0.8297	0.8707
2	ELOHS	0.88	0.77	0.82	0.8297	0.8707
3	NLOHS	0.95	0.94	0.94	0.9442	0.9761
3	ELOHS	0.94	0.95	0.94	0.9442	0.9761
4	NLOHS	0.94	0.89	0.91	0.913	0.9619
4	ELOHS	0.89	0.94	0.92	0.913	0.9619
5	NLOHS	0.94	0.95	0.95	0.9452	0.9807
5	ELOHS	0.95	0.94	0.94	0.9452	0.9807
6	NLOHS	0.94	0.9	0.92	0.9216	0.962
6	ELOHS	0.91	0.94	0.92	0.9216	0.962
7	NLOHS	0.94	0.91	0.93	0.928	0.9712
7	ELOHS	0.91	0.95	0.93	0.928	0.9712
8	NLOHS	0.94	0.73	0.82	0.8443	0.9375
8	ELOHS	0.78	0.95	0.86	0.8443	0.9375
9	NLOHS	0.94	0.91	0.93	0.9271	0.9722
9	ELOHS	0.91	0.94	0.93	0.9271	0.9722
10	NLOHS	0.94	0.87	0.91	0.9108	0.9562
10	ELOHS	0.88	0.95	0.91	0.9108	0.9562

ISSN: 2047-783X