Development of prediction models to estimate extubation time and midterm recovery time of ophthalmic patients undergoing general anesthesia: a cross-sectional study

Table 4 Training performance evaluation of extubation time prediction models

Evaluation indexes	FNN	Stepwise linear regression	Regression tree	Ensembles of trees regression	Artificial neural network
Evaluation indexes	FNN	Stepwise linear regression	Regression tree	Ensembles of trees regression	LM Algorithm	BR Algorithm	SCG Algorithm
MSE	35.055	37.720	61.851	57.566	32.200	22.343	40.798
RMSE	5.921	6.142	7.865	7.587	5.675	4.727	6.387
R-Squared	0.946	0.940	0.910	0.910	0.973	0.980	0.964
Model training time (s)	1.38	669.98	1.78	12.48	1.00	75.00	1.00
Neurons number in the hidden layer	142	-	-	-	39	39	39
Internal verification method	Independent validation dataset	Tenfold cross validation	Tenfold cross validation	Tenfold cross validation	Independent validation dataset	Independent validation dataset	Independent validation dataset

ISSN: 1471-2253