What is the difference form using TreeBagger and Fitrensemble functions
24 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi, I am wondering what is the difference between (1) and (2).
I am trying to construct a predictive model, and I don't understand if I should get the same results with (1) and (2) or if they are different.
1) template = templateTree('NumVariablesToSample','all','MinLeafSize',5);
ensemble = fitrensemble(X,Y,'Method','Bag','NumLearningCycles',100,'Learners',template);
Ypred_test = predict(ensemble, XTest);
2) ensemble = TreeBagger(100,X,Y,'method','regression','NVarToSample','all','OOBPredictorImportance','on');
Ypred_test = predict(ensemble, XTest);
Thanks for your time.
0 commentaires
Réponses (1)
Raunak Gupta
le 3 Mai 2020
Hi,
In above case the output model as well as result will be different because both TreeBagger and fitrensemble uses different algorithm for optimization. Tree Bagger uses Node Splitting Rules whereas fitrensemble uses Ensemble Algorithms. So, it is expected the output will be different.
You may choose between the two based on difference mentioned in Comparison of TreeBagger and Bagged Ensembles.
0 commentaires
Voir également
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!