Table 5.

Comparison of proposed and baseline approaches classifiers performance to detect cardiovascular disease.

Method	Models	Accuracy (%)
Baseline approach [30]	LR	85.54
	RF	86.03
	DT	85.93
	NB	83.38
	KNN	84.56
	SVM	86.63
	MLP	87.23
Baseline approach [31]	GA-ANN	73.43
	ANN	68.35
	Logistic regression	72.35
	Decision tree	61.72
	Random forest	68.94
	Support vector machine	72.16
	K-nearest neighbor	68.34
Proposed approach	ML ensemble	88.70