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Table 2 Parameters for the MLlib DRT and the DFRT

From: Building efficient fuzzy regression trees for large scale and high dimensional problems

Parameter

MLlib DRT

DFRT

Fuzzy discretization

\(\lambda _{\text{disc}}\)

1%

\(\epsilon _{\text{disc}}\)

0.0001

\(\gamma _{\text{disc}}\)

0.1%

Regression tree

Impurity

Variance

\(\beta\)

15

15

L (maximum number of bins)

100

100

\(\lambda _{\text{learn}}\)

0.5%

0.5%

\(\epsilon _{\text{learn}}\)

0.0001

0.0001