An Efficient Machine Learning Model Based on Improved Features Selections for Early and Accurate Heart Disease Predication

Table 3

Selected feature rank.

Number	Algorithm		Feature name	Feature code	Rank
1	LASSO	1	Gender	SEX	0.3
		2	Resting electrocardiography	RES	0.4
		3	Maximum heart rate	MHR	0.3
		4	Number of major vessels	VCA	0.35
		5	Thallium scan	THA	0.41
2	ANOVA	1	Gender	SEX	0.32
		2	Level of BP	RBP	0.47
		3	Serum cholesterol	SCH	0.34
		4	Resting electrocardiography	RES	0.3
		5	Thallium scan	THA	0.27
	Multi SURF	1	Level of BP	RBP	0.5
		2	Maximum heart rate	MHR	0.6
		3	Exercise-induced angina	EIA	0.6
		4	Old peak	OPK	0.5
		5	Thallium scan	THA	0.6
4	Variance threshold	1	Resting electrocardiography	RES	0.4
		2	Maximum heart rate	MHR	0.32
		3	Exercise-induced angina	EIA	0.5
		4	Old peak	OPK	0.35
		5	Slope of the peak exercise	PES	0.31
5	Mutual information	1	Resting electrocardiography	RES	0.3
		2	Maximum heart rate	MHR	0.3
		3	Slope of the peak exercise	PES	0.4
		4	Number of major vessels	VCA	0.5
		5	Thallium scan	THA	0.37