Table 7.

Survival performance results with training set (cross-validation approach) and test set (new unseen data) with feature selection.

Classifier	c-Index	#F	c-Index	c-Index IPWC	AUCD_ROC.	ICI
Cox proportional hazard	0.700 (0.048)	5(N), 4(C)	0.658	0.670	0.669	0.175
Cox proportional hazard IPCW	0.704 (0.051)	2(N), 5(C)	0.647	0.646	0.654	0.293
Random survival forest	0.706 (0.035)	4(N), 4(C)	0.675	0.723	0.684	0.235
Extra survival trees	0.696 (0.054)	4(N), 1(C)	0.657	0.704	0.666	0.406
Survival support vector machine	0.698 (0.057)	3(N), 5(C)	0.638	0.631	0.649	0.233
Gradient boosting models	0.714 (0.013)	2(N), 5(C)	0.724	0.762	0.748	0.298
Gradient boosting models*	0.714 (0.018)	2(N), 2(C)	0.711	0.754	0.733	0.476

C-index, concordance index; C-index IPCW, concordance index inverse probability of censoring weights; AUCD_ROC, area under the cumulative/dynamic ROC; ICI, interpretability concordance index.

*Model extracted by manual inspection.