Fig. 3 | Scientific Reports

Fig. 3

From: Development of a serum protein biomarker panel for the diagnosis of pancreatic ductal adenocarcinoma using a machine learning approach

Fig. 3

Performance evaluation of the ML-based biomarker panel for all-stage PDA diagnosis. (a) ROC curve comparing the diagnostic performance of multiple ML models in cohort A. (b) Confusion matrices for different ML algorithms. (c) Feature importance analysis for all-stage PDA using Random Forest. (d) Feature importance analysis for all-stage PDA using XGBoost. (e) Feature importance analysis for all-stage PDA using LightGBM. (f) Feature importance analysis for all-stage PDA using CatBoost.

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