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

Table 7 Training performance evaluation of midterm recovery 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	66.265	70.441	105.570	94.873	71.154	44.434	64.081
RMSE	8.140	8.393	10.275	9.740	8.435	6.666	8.005
R-Squared	0.923	0.910	0.870	0.880	0.955	0.967	0.953
Model training time (s)	1.57	956.42	7.56	27.73	1.20	108.00	1.00
neurons number in the hidden layer	112	-	-	-	43	43	43
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