Difference between TreeBagger and fitensemble methods
10 views (last 30 days)
Show older comments
Hi, I am trying to build a random forest on my data using the following two different methods:
- mdl = TreeBagger(NumTrees, myData, ResponseVarName)
- mdl = fitensemble(myData, ResponseVarName, 'Bag', NumTrees, 'Tree', 'Type', 'regression')
I am using the same number of trees for both methods, the same training dataset, and I believe both are bagging algorithms.
How exactly are these two different? Is there any difference?
Thank you for your help in advance!
1 Comment
Ame ZL
on 13 Jul 2018
Hello JWP,
Did you find out what the difference was? I did read the doc info in MATLAB, but I didn't find the answer.
Does anyone actually know?
Many thanks.
Answers (2)
jyotsna
on 17 Jul 2018
This link has the answer (see under section "Comparison of TreeBagger and Bagged Ensembles") https://www.mathworks.com/help/stats/ensemble-algorithms.html#bsxabwd
0 Comments
Abhishek Ballaney
on 9 Feb 2018
https://in.mathworks.com/help/stats/treebagger.html
https://in.mathworks.com/help/stats/fitensemble.html
0 Comments
See Also
Categories
Find more on Classification Ensembles in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!