Limiting Decision Tree branching factor
New Altair Community Member
Updated by Jocelyn
Hi everybody ,
I have a dataset with 5 attributes , one is nominal and it has large number of possible values (~5000 values) , I want to train a decision tree on this dataset but the problem is that when I include this feature , the branching factor for this attribute is very large and so model doesn't in the memory (I use 74 GB of main memory) , my dataset has about 620 K instances (rows) ,
Is it possible to put a limit on branching factor for this attribute ?
Thanks ,
Arian
I have a dataset with 5 attributes , one is nominal and it has large number of possible values (~5000 values) , I want to train a decision tree on this dataset but the problem is that when I include this feature , the branching factor for this attribute is very large and so model doesn't in the memory (I use 74 GB of main memory) , my dataset has about 620 K instances (rows) ,
Is it possible to put a limit on branching factor for this attribute ?
Thanks ,
Arian