Inflammation-lipid metabolism biomarker-based machine learning models for predicting postoperative pulmonary metastasis in colorectal cancer

Figure 3 Receiver operating characteristic curves for the four-layer models. A: Layer 1 receiver operating characteristic (ROC) curves (demographics); B: Layer 2 ROC curves (demographics + inflammation); C: Layer 3 ROC curves (demographics + lipid); D: Layer 4 ROC curves (all features). DT: Decision Tree; RotF: Rotation Forest; GAM: Generalized Additive Model; RF: Random Forest; LR: Logistic regression; NB: Naive Bayes; KNN: K-Nearest Neighbors; SVM: Support Vector Machine; MLP: Multi-Layer Perceptron; GBDT: Gradient Boosting Decision Tree; TPR: True positive rate; FPR: False positive rate.