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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