Table 3.

Performance summary of six machine learning models to predict CAD development.

Models	Accuracy	Precision	Recall	F1_score	AUC score
KNN	0.771154	0.833628	0.851056	0.835283	0.827936
LR	0.880769	0.920108	0.907473	0.911995	0.944622
SVM	0.805769	0.877361	0.848318	0.855256	0.907529
DT	0.846154	0.868333	0.929812	0.895352	0.805235
MLP	0.830769	0.889812	0.862285	0.874413	0.907694
XGboost	0.846154	0.878950	0.915806	0.891967	0.945121

KNN, k-nearest neighbors classifier; LR, logistic regression; SVM, a support vector machine; DT, the decision tree model; MLP, the multilayer perceptron network; AUC, area under curve.