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Table 4 Possible hyperparameter choices for random forest. Ranges are integer intervals

From: Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation

 

Possible values

Hyperparameter

Classification (Binary/Multiclass)

Regression

Max features to try

\( \left[1,\dots, \left\lfloor \sqrt{m}\right\rfloor \right] \)

[1, …, ⌊m/3⌋]

Min samples to split node

[1, …, 11]

Min samples to be leaf node

[1, …, 11]

Number of trees

[25, …, 50]a

Impurity criterion

Gini index/Entropy

N/A

  1. aexcept UPDRS Part III total score, [64, …, 128]