Efficient Model for Coronary Artery Disease Diagnosis: A Comparative Study of Several Machine Learning Algorithms

Table 4

Performance comparison of seven ML algorithms for diagnosis CAD using different evaluation metrics.

Algorithms	TP	FP	Precision	Recall	F-measure	MCC	ROC	PRC
MLP	0.83	0.25	0.83	0.83	0.83	0.59	0.88	0.88
SVM	0.88	0.17	0.88	0.88	0.88	0.70	0.85	0.83
LR	0.86	0.21	0.86	0.86	0.86	0.65	0.87	0.86
J48	0.80	0.28	0.81	0.81	0.81	0.52	0.74	0.74
RF	0.87	0.22	0.87	0.87	0.87	0.67	0.91	0.91
KNN	0.81	0.28	0.81	0.81	0.81	0.54	0.77	0.77
NB	0.85	0.18	0.86	0.85	0.85	0.65	0.89	0.88