Table 2.

Performance of each prediction model according to C-index in the validation cohort

Risk categoryGRFSOSRelapseNRMaGVHDcGVHD
Cox-PH 0.668 0.740 0.770 0.664 0.651 0.564 
Fine-Gray competing risk model NA NA 0.719 0.577 0.582 0.516 
Random Survival Forest 0.660 0.745 0.788 0.761 0.580 0.577 
XGBoost 0.602 0.712 0.756 0.543 0.540 0.573 
Gradient Boosting 0.630 0.602 0.754 0.453 0.590 0.505 
Component-wise Gradient Boosting 0.663 0.652 0.774 0.585 0.464 0.570 
Dynamic DeepHit 0.646 0.710 0.730 0.691 0.537 0.555 
Stacked Ensemble Model 0.670 0.763 0.793 0.777 0.656 0.583 
Risk categoryGRFSOSRelapseNRMaGVHDcGVHD
Cox-PH 0.668 0.740 0.770 0.664 0.651 0.564 
Fine-Gray competing risk model NA NA 0.719 0.577 0.582 0.516 
Random Survival Forest 0.660 0.745 0.788 0.761 0.580 0.577 
XGBoost 0.602 0.712 0.756 0.543 0.540 0.573 
Gradient Boosting 0.630 0.602 0.754 0.453 0.590 0.505 
Component-wise Gradient Boosting 0.663 0.652 0.774 0.585 0.464 0.570 
Dynamic DeepHit 0.646 0.710 0.730 0.691 0.537 0.555 
Stacked Ensemble Model 0.670 0.763 0.793 0.777 0.656 0.583 

aGVHD, grade II-IV acute GVHD; cGVHD, chronic GVHD; NA, not applicable.

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