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. Author manuscript; available in PMC: 2021 Nov 1.
Published in final edited form as: Transpl Int. 2020 Jul 28;33(11):1472–1480. doi: 10.1111/tri.13695

Table 3.

Predictive performance of regression, gradient boosting, and random forests in predicting kidney transplant outcomes, as measured in the Brier score.

Outcome Regression Gradient boosting Random forests
Delayed graft function 0.161 0.160 0.161
Acute rejection, one-year 0.089 0.090 0.091
Death-censored graft failure 0.179 0.187 0.185
Death 0.183 0.206 0.197
All-cause graft failure 0.193 0.201 0.208

Lower Brier score indicates superior calibration.