Re: [R] Random Forest Cross Validation

Thanks to you all! Now I got it! -- View this message in context: http://r.789695.n4.nabble.com/Random-Forest-Cross-Validation-tp3314777p3327384.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list

Re: [R] Random Forest Cross Validation

Thanks, Max. Yes, I　did some feature selections in the training set. Basically, I selected the top 1000 SNPs based on OOB error and grow the forest using training set, then using the test set to validate the forest grown. But if I do the same thing in test set, the top SNPs would be different

[R] Random Forest Cross Validation

Hi, I am using randomForest package to do some prediction job on GWAS data. I firstly split the data into training and testing set (70% vs 30%), then using training set to grow the trees (ntree=10). It looks that the OOB error in training set is good (10%). However, it is not very good for