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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients

Fig. 2

The area under the curve as a measure of individual model performance for the prediction of obstructive coronary artery disease on coronary computed tomography angiography in training cohort (A) and validation cohort (B)

AUC, area under the curve; LR, Logistic Regression; XGBoost, Extreme Gradient Boosting; RF, Random Forest; SVM, Support Vector Machine; NNET, Neural Network

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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