Re: [R] Running random forest using different training and testing schemes
Thanks a lot for your help.. But, using this function, how can identify the size of the training set? and how will I identify my data? There is not any example and I am a bit confused. Many thanks, Chrysanthi 2009/4/12 Max Kuhn > There is also the train function in the caret package. The trainControl > function can be used to try different resampling schemes. There is also a > package vignette with details. > > Max > > > > On Apr 12, 2009, at 12:26 PM, "Chrysanthi A." wrote: > > Hi, >> >> I would like to run random Forest classification algorithm and check the >> accuracy of the prediction according to different training and testing >> schemes. For example, extracting 70% of the samples for training and the >> rest for testing, or using 10-fold cross validation scheme. >> How can I do that? Is there a function? >> >> Thanks a lot, >> >> Chrysanthi. >> >> [[alternative HTML version deleted]] >> >> __ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Running random forest using different training and testing schemes
There is also the train function in the caret package. The trainControl function can be used to try different resampling schemes. There is also a package vignette with details. Max On Apr 12, 2009, at 12:26 PM, "Chrysanthi A." wrote: Hi, I would like to run random Forest classification algorithm and check the accuracy of the prediction according to different training and testing schemes. For example, extracting 70% of the samples for training and the rest for testing, or using 10-fold cross validation scheme. How can I do that? Is there a function? Thanks a lot, Chrysanthi. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Running random forest using different training and testing schemes
Hi, I would like to run random Forest classification algorithm and check the accuracy of the prediction according to different training and testing schemes. For example, extracting 70% of the samples for training and the rest for testing, or using 10-fold cross validation scheme. How can I do that? Is there a function? Thanks a lot, Chrysanthi. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.