Using optimize parameters(Grid) on decision tree
Hi,
I used optimize parameters(Grid) to determine the optimal parameters used in decision tree. The result give me something like maximal_depth=14, minimal leaf size=92. But when i look in the model, i found that there are some leafs containing only 1 sample. Do anyone know if i did something wrong?
I used optimize parameters(Grid) to determine the optimal parameters used in decision tree. The result give me something like maximal_depth=14, minimal leaf size=92. But when i look in the model, i found that there are some leafs containing only 1 sample. Do anyone know if i did something wrong?
Find more posts tagged with
Sort by:
1 - 4 of
41
Altair EmployeeHi @Ben_Suen,
did you use a validation scheme like cross-validation? This sounds a bit over-trained.
Best,
Martin
Also did you actually optimize minimal leaf size parameter or minimal size for split? They work a bit differently.
Hi @Telcontar120
I optimized minimal leaf size parameter. i think there should be at least 92 sample in each leaf after the optimize parameter operator give me these parameter. Do i misunderstand something here?
I optimized minimal leaf size parameter. i think there should be at least 92 sample in each leaf after the optimize parameter operator give me these parameter. Do i misunderstand something here?
Sort by:
1 - 1 of
11
Altair EmployeeHi @Ben_Suen,
did you use a validation scheme like cross-validation? This sounds a bit over-trained.
Best,
Martin