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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