Fig. 8 | Scientific Reports

Fig. 8

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

Fig. 8

Model validation and feature selection analysis. (A) distribution of predicted probabilities for lymph node metastasis (LNM), showing actual outcomes (blue: no LNM, red: LNM). The vertical dashed line indicates the optimal cutoff threshold (0.44). (B) area under the curve (AUC) values for training set (blue) and validation set (purple) across different numbers of features (7, 13, 19, 27), demonstrating model performance with feature selection. (C) AUC difference between training and validation sets across different feature numbers, indicating model generalization performance and potential overfitting assessment.

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