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. Author manuscript; available in PMC: 2021 Jul 29.
Published in final edited form as: Proc Mach Learn Res. 2020 Aug;126:143–171.

Table 10:

Validation accuracies for the random-forest models.

L S Fold 1 Fold 2 Fold 3 Fold 4 Average
1 2 56.23 54.77 57.97 57.21 56.55
1 3000 56.31 54.73 58.05 57.06 56.54
1 1500 56.27 54.80 58.08 56.99 56.53
1 120 56.22 54.58 58.07 57.06 56.48
1 700 56.29 54.72 57.92 56.95 56.47
1 300 56.36 54.58 57.86 56.92 56.43
1 50 56.19 54.56 57.92 56.82 56.37
5 120 56.27 54.57 57.80 56.82 56.37
5 300 56.23 54.62 57.73 56.80 56.34
1 20 56.06 54.48 57.93 56.88 56.34

We report the top 10 performing models. L denotes the minimum number of samples required to be at a leaf and S denotes the minimum number of examples required to split each internal node. We experimented with the following values: L = {1,5,20,50,150,400,800,1500}, S = {2,20,50,120,300,700,1500,3000}.