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

Figure 8 Cross-layer incremental analysis. A: Area under the curve (AUC) comparison of best models across layers; B: P-value matrix of cross-layer AUC comparisons for each algorithm. AUC: Area under the curve; KNN: K-Nearest Neighbors; MLP: Multi-Layer Perceptron; LR: Logistic regression; GAM: Generalized Additive Model; GBDT: Gradient Boosting Decision Tree; RotF: Rotation Forest; RF: Random Forest; DT: Decision Tree; SVM: Support Vector Machine; NB: Naive Bayes.