Construction and evaluation of a liver cancer risk prediction model based on machine learning

Figure 4 Random forest model validation. A: The receiver operating characteristic curve curves of the individual variables included in the random forest (RF) model are compared with those of the overall model; B: The decision curve analysis curves for each variable included in the RF model are compared with those of the overall model; C: Comparison of area under the curve, sensitivity, and specificity between the individual variables and RF model. LR: Logistic regression; SVM: Support vector machine; RF: Random forest; LASSO: Least absolute shrinkage and selection operator; AUC: Area under the curve; WBC: White blood cell; RBC: Red blood cell; PLT: Platelet; AFP: Alpha-fetoprotein; PIVKA-II: Protein induced by vitamin K absence or antagonist II.