Hi, I'm looking to perform a classification analysis on an imbalanced data set using random Forest and I'd like to reproduce the weighted random forest analysis proposed in the Chen, Liaw & Breiman paper "Using Random Forest to Learn Imbalanced Data"; can I use the R package randomForest to perform such analysis? What is the easiest way to accomplish this task? Thanks, Paolo Sonego
The implementation of weighted RF is still on the to-do list for the package. Use Breiman & Cutler's Fortran code for now. Andy From: portnoy at supereva.it> > Hi, > I'm looking to perform a classification analysis on an > imbalanced data > set using random Forest and I'd like to reproduce the > weighted random > forest analysis proposed in the Chen, Liaw & Breiman paper > "Using Random > Forest to Learn Imbalanced Data"; can I use the R package > randomForest > to perform such analysis? What is the easiest way to > accomplish this task? > Thanks, > Paolo Sonego > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > >
Reasonably Related Threads
- Random Forest with highly imbalanced data
- need help for Imbalanced classification problems!!!
- missing value replacement for test data in random forest
- Strategies to deal with unbalanced classification data in randomForest
- hands-on classification tutorial needed...