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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population

Fig. 3

Discrimination and Calibration of Machine Learning-based ASCVD Models in Test Cohort. Discrimination and calibration of machine learning-based ASCVD prediction models in test cohort. A Receiver operating characteristic curve (AUC) analysis for machine learning-based ASCVD prediction models. B Hosmer–Lemeshow calibration plots of machine learning-based ASCVD prediction models. Abbreviations: ASCVD, Atherosclerotic cardiovascular disease; ANN, Artificial Neural Network; RF, Random Forest; GBM, Gradient Boosting Machine; KNN, K Nearest Neighbor; Adaboost, Adaptive Boosting; SVM, Support Vector Machine; Catboost, Categorical Boosting

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