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2010 May 25
1
Need Help! Poor performance about randomForest for large data
.... It turns out that: when ntree sets to the default value (500), it says "can not allocate a vector of 1.1 GB size"; And when I set ntree to be a very small number like 10, it will run for hours. I use the (x,y) rather than the (formula,data). My code: > sdata<-read.csv("D://zSignal Dump//XXXX//XXXX.csv") > sdata1<-subset(sdata,select=-38) > sdata2<-subset(sdata,select=38) > res<-randomForest(x=sdata1,y=sdata2,ntrees=10) Am I doing anything wrong? Or do you have other suggestions? Are there any other packages to do the same thing? I will appreciate if...