Table 1. Model performance: comparison of area under the curve of different algorithms for each outcome.

Model	Outcome of interest
	EFSa	OSb	GFc	AGVHDd	CGVHDe
Random forest entire dataset	0.7900	0.7925	0.8024	0.6793	0.7320
XGBoostf	0.7754	0.7785	0.7948	0.6731	0.7230
Logistic regression	0.7464	0.7835	0.7578	0.6925	0.7019
Naïve Bayes	0.6930	0.7111	0.7107	0.6386	0.6384
Adaboost	0.7452	0.7806	0.7561	0.6934	0.7005
Support vector classifier	0.7357	0.7810	0.7561	0.6841	0.7061

^aEFS: event-free survival.

^bOS: overall survival.

^cGF: graft failure.

^dAGVHD: acute graft-versus-host disease.

^eCGVHD: chronic graft-versus-host disease.

^fXGBoost: extreme gradient boosting.