Fig. 4
From: Detection of diabetic patients in people with normal fasting glucose using machine learning
Feature selection for the final model using mRMR and manual curation. A ROC curve of the models constructed by mRMR- and manual curation- selected features on the validation set and the test set of dataset D1. B Precision-recall curve of above models. C Comparison of sensitivity, specificity, and balanced accuracy on test set between the model constructed before and after feature selection. D ROC curve of models using selected features on the two newly recruited independent test sets. E Precision-recall curve of above models. F Comparison of other metrics on the two newly recruited independent test sets