Figure 4
AUC versus the number of variables used in RFE and performance comparison of 27F model and 5F model under RF algorithm. (A) The performance of RFE with respect to different variables using the area under the ROC curves. The graph illustrates that the model achieved comparable performance with the highest AUC by utilizing 5 selected features. (B) The ROC curves of the 27F and 5F models based on the training dataset. On (C), we have shown the ROC curves for the 27F and 5F models for the testing dataset. The calibration curves for the 5F and 27F models for the training dataset (D) and test dataset (E) are presented.
