Table 2.

Performance evaluation by different methods based on simulated dataset 1.

Prediction methods	NBC	SVM	KNN	AdaBoost	Proposed	p value
Accuracy	0.55	0.84	0.86	0.82	0.97	0.00
95% CI of accuracy	(0.45, 0.65)	(0.75, 0.90)	(0.77, 0.92)	(0.73, 0.89)	(0.91, 0.99)	—
Sensitivity	0.54	0.78	0.79	0.90	0.95	0.00
Specificity	0.62	0.94	0.97	0.76	0.94	0.00
PPV	0.88	0.96	0.98	0.73	0.94	0.00
NPV	0.20	0.71	0.73	0.91	0.94	0.00
Prevalence	0.84	0.63	0.63	0.41	0.40	0.00
Detection rate	0.45	0.49	0.50	0.37	0.48	0.00
Detection prevalence	0.51	0.51	0.51	0.51	0.51	—
MCC	0.12	0.70	0.74	0.65	0.94	0.00
MER	0.49	0.18	0.17	0.08	0.03	0.03