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. Author manuscript; available in PMC: 2024 Jan 12.
Published in final edited form as: Intell Based Med. 2023 Nov 8;8:100118. doi: 10.1016/j.ibmed.2023.100118

Table 4.

Random forest hyperparameter tuning for each prediction task.

Target variable Number
of Trees
Terminal
Node Size
Sampled
Variables
Validation
AUC
TBI 100 4 22 0.906
200 1 18 0.9068
300 1 22 0.908
400 1 15 0.9062
Cause of Injury Falls 100 2 22 0.8954
200 1 22 0.8975
300 1 22 0.8987
400 1 22 0.8988
500 1 18 0.8988
Struck by/against 100 1 6 0.892
200 1 6 0.8969
300 2 5 0.8939
Cyclist Collision 100 1 18 0.856
200 1 18 0.8589
300 1 18 0.86
400 2 22 0.8664
500 2 12 0.8629
Motor Vehicle Collision 100 4 22 0.8944
200 2 22 0.8971
300 2 18 0.8981
400 2 23 0.8985
500 2 18 0.8989
600 1 18 0.8997
700 1 18 0.8996