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When using the random forest function the parameter "y" needs to be set to a factor for classification, other wise regression is performed. I was wondering if in the R script of assign.MC.R the input "y" is set to a factor. After a quick look at this function, it does not seem to be but maybe I am wrong, I just wanted to confirm.
Also, is there an easy way to obtain MSE (mean standard error) and MDA (mean decrease in accuracy) from the random forest simulations? I am asking because from them we can determine the optimal number of trees (ntree).
Thanks
The text was updated successfully, but these errors were encountered:
Hi, Sorry for the late response. Thanks for bringing that up. I will take a look at this issue, but it may take a while. If you happen to know how to modify the script or have already solved the issue by yourself, please let me know. I am will be more than happy to add a contributor.
Hi Alex,
Thanks for developing this package!
When using the random forest function the parameter "y" needs to be set to a factor for classification, other wise regression is performed. I was wondering if in the R script of
assign.MC.R
the input "y" is set to a factor. After a quick look at this function, it does not seem to be but maybe I am wrong, I just wanted to confirm.Also, is there an easy way to obtain MSE (mean standard error) and MDA (mean decrease in accuracy) from the random forest simulations? I am asking because from them we can determine the optimal number of trees (ntree).
Thanks
The text was updated successfully, but these errors were encountered: