Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy
Fig 5
DCA curves of each model, where (AE) are the results of LR, LDA, GB, MLP and AdaBoost models respectively.
Curves depict the net benefit of using each model for clinical decision-making compared to treating all patients (gray solid line) or treating none (gray dashed line). Models are shown for (A) Logistic Regression, (B) Linear Discriminant Analysis, (C) Gradient Boosting, (D) MLPClassifier, and (E) AdaBoost.