Fig. 3 | Scientific Reports

Fig. 3

From: Development and validation of a machine learning-based risk prediction model for post-stroke cognitive impairment

Fig. 3

Performance of different ML models for PSCI. (A) ROC curve of training set data; (B) ROC curve of validation set data. (C) PR curve of training set data; (D) PR curve of validation set data; (E) DCA curve plot; (F) Calibration curve plot. Abbreviations: ROC: Receiver operating characteristic; AUC: Area under the curve; LR: Logistic Regression, XGBoost: Extreme Gradient Boosting, LightGBM: Light Gradient Boosting Machine, AdaBoost: Adaptive Boosting, GNB: Gaussian Naive Bayes, MLP: Multilayer Perceptron, SVM: Support Vector Machine; PR: Precision recall; AP: Average precision; DCA: Decision curve analysis.

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