Difference between TreeBagger and fitensemble methods
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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 Commento
Ame ZL
il 13 Lug 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.
Risposte (2)
jyotsna
il 17 Lug 2018
1 voto
This link has the answer (see under section "Comparison of TreeBagger and Bagged Ensembles") https://www.mathworks.com/help/stats/ensemble-algorithms.html#bsxabwd
Abhishek Ballaney
il 9 Feb 2018
0 voti
https://in.mathworks.com/help/stats/treebagger.html
https://in.mathworks.com/help/stats/fitensemble.html
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