Skip to main content

Table 2 Performances of the random forest model and the logistic regression model for the prediction of GDM with all the variables

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

0.754

0.759

0.695

0.764

SD

RF

0.049

0.092

0.132

0.130

Mean

LR

0.686

0.655

0.679

0.656

SD

LR

0.046

0.100

0.188

0.155

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