Fig. 5 | Scientific Reports

Fig. 5

From: Interpretable machine learning analysis of clinicopathological and immunonutritional biomarkers for predicting lymph node metastasis in gastric cancer

Fig. 5

SHAP dependence analysis stratified by Lauren histological classification. (A1–A3) maximum tumor diameter (MTD) dependence plots for Intestinal, Mixed, and Diffuse types. (B1–B3) platelet-to-albumin ratio (PAR) dependence plots across Lauren types. (C1–C3) platelet-to-lymphocyte ratio (PLR) dependence plots across Lauren types. (D1–D3), carcinoembryonic antigen (CEA) dependence plots across Lauren types. (E1–E3), fibrinogen (FIB) dependence plots across Lauren types. (F1–F3) systemic immune-inflammation index (SII) dependence plots across Lauren types. Color coding represents SHAP values. Each plot demonstrates how feature values influence SHAP values (model predictions) within specific histological subtypes.

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