[Retracted] Establishment and Validation for Predicting the Death of Multiple Myeloma among Whites

Table 3

The performance of the random forest model.

Group	Parameter (95% CI)	All-variable model	Age-based model
Training set
	AUC	0.741 (0.740–0.741)	0.697 (0.697–0.698)
	Accuracy	0.673 (0.667–0.680)	0.641 (0.635–0.648)
	Sensitivity	0.612 (0.603–0.621)	0.533 (0.523–0.542)
	Specificity	0.744 (0.735–0.752)	0.765 (0.757–0.774)
	PPV	0.732 (0.723–0.741)	0.722 (0.712–0.732)
	NPV	0.626 (0.617–0.635)	0.589 (0.580–0.597)
Testing set
	AUC	0.703 (0.703–0.704)	0.688 (0.688–0.689)
	Accuracy	0.641 (0.631–0.651)	0.636 (0.626–0.646)
	Sensitivity	0.591 (0.576–0.605)	0.533 (0.518–0.547)
	Specificity	0.700 (0.686–0.714)	0.754 (0.741–0.768)
	PPV	0.694 (0.680–0.708)	0.714 (0.699–0.729)
	NPV	0.597 (0.583–0.611)	0.583 (0.570–0.597)

Note: CI: confidence interval; AUC: area under the curve; PPV: positive predictive value; NPV: negative predictive value.