[Retracted] Application of Transfer Learning and Feature Fusion Algorithms to Improve the Identification and Prediction Efficiency of Premature Ovarian Failure

Table 3

Model prediction results.

Feature selection prediction model	Stepwise regression		Lasso
	LR	SVM	LR	SVM
AUC	0.715	0.732	0.711	0.737
SE	0.040	0.039	0.040	0.039
95%CI	[0.637,0.793]	[0.656,0.808]	[0.630,0.789]	[0.634,0.793]
FI-measure	0.700	0.738	0.689	0.746
Sensitivity	0.684	0.758	0.681	0.758
Specificity	0.639	0.611	0.653	0.639