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Table 3 Median and 2.5 and 97.5 percentiles of difference in under- and overtriage rates between learners (calculation on 1000 runs)

From: The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study

Events per free parameter

Data set

Difference in undertriage LogReg-XGBoost

Difference in overtriage LogReg-XGBoost

10

SweTrau

0 [− 0.354, 0.025]

0 [− 0.005, 0.265]

10

NTDB

− 0.005 [− 0.398, 0.035]

0.004 [− 0.017, 0.433]

25

SweTrau

0 [− 0.301, 0.015]

0 [− 0.003, 0.238]

25

NTDB

 − 0.005 [− 0.39, 0.023]

0.003 [− 0.015, 0.427]

100

SweTrau

0 [− 0.025, 0.005]

0 [− 0.001, 0.008]

100

NTDB

0 [− 0.396, 0.005]

0 [− 0.003, 0.427]

1000

NTDB

0 [− 0.386, 0]

0 [− 0.001, 0.422]

  1. NTDB, National Trauma Data Bank; SweTrau, Swedish Trauma Registry