A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms

Table 3

Classifiers evaluation in terms of precision, recall, F-measure, and accuracy.

Class	Metrics	Classifiers
		MNB	SVM	LR	CART	LDA	AB	RF	ET	XGB
Positive	Precision (%)	91	98	91	85	98	93	91	95	90
	Recall (%)	100	98	91	93	95	98	95	98	100
	F Measure (%)	96	98	91	89	96	95	93	97	95
Negative	Precision (%)	100	94	78	79	89	93	88	94	100
	Recall (%)	78	94	78	61	94	83	78	89	72
	F Measure (%)	88	94	78	69	92	88	82	91	84
Accuracy (%)		93.44	96.72	86.88	83.66	95.08	93.44	90.16	95.08	91.80