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

Table 2

Classifier performance before feature selection.

Classifier		Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)	MCC (%)	Time complexity (sec)
SVM	1	75	80	73	76	51	10.4
	0	75	71	78	74	55
	Overall	75	75.5	75.5	75	53
KNN	1	67	64	69	66	35	16.7
	0	67	71	66	68	47
	Overall	67	67.6	67.5	67	41
LR	1	71	76	69	72	42	12.2
	0	71	63	73	69	33
	Overall	71	69.5	71	70.5	37.5
DT	1	61	56	62	58	22	19.9
	0	61	66	60	62	37
	Overall	61	61	61	60	29.5
NB	1	70	75	68	71	41	24.7
	0	70	66	72	69	39
	Overall	70	70.5	70	70	40
RF	1	65	68	64	66	30	17.1
	0	65	62	65	63	27
	Overall	65	65	64.5	64.5	28.5
SGD	1	69	76	66	71	39	14.4
	0	69	62	72	66	44
	Overall	69	69	69	68.5	41.5