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." <chrysain at gmail.com> 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]]
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