BMC Pregnancy and Childbirth

Table 3 Both the random forest model and the logistic regression model had better performance after dimensionality reduction

From: An early model to predict the risk of gestational diabetes mellitus in the absence of blood examination indexes: application in primary health care centres

	Model	AUC	Accuracy	Sensitivity	Specificity
Mean	RF	0.777	0.789	0.651	0.813
SD	RF	0.034	0.052	0.087	0.075
Mean	LR	0.755	0.724	0.683	0.736
SD	LR	0.032	0.065	0.084	0.087

Abbreviations: RF Random Forest, LR Logistic Regression, AUC area under the receiver operating characteristic curve

Back to article page

ISSN: 1471-2393

Contact us

Submission enquiries: bmcpregnancyandchildbirth@biomedcentral.com
General enquiries: ORSupport@springernature.com