Prediction of parastomal hernia in patients undergoing preventive ostomy after rectal cancer resection using machine learning

Figure 2 Evaluation of the random forest model in the test cohort. A: Receiver operating characteristic curves and area under the curve values for the testing set; B: Confusion matrix for the random forest (RF) model applied to the testing set; C: Comparison of predicted probabilities by the RF model for patients with and without parastomal hernia in the test cohort; D: Decision curve analysis for the test group; E: Calibration curve of the testing set. ^aP < 0.001 vs control group. AUC: Area under the curve.