R language implements random forest code

Library (randomforest) data (Iris) Set.seed (ind<-sample) (2,nrow (Iris), Replace=true,prob=c (0.7,0.3)) #对数据分成两部分 , 70% training data, 30% detection data/traindata<-iris[ind==1,]testdata<-iris[ind==2,]iris.rf=randomforest (species~.,iris[ind= =1,],ntree=50,nperm=10,mtry=3,proximity=true,importance=true) print (IRIS.RF) iris.pred=predict (iris.rf,iris[ind= =2,]) table (observed=iris[ind==2, "species"],predicted=iris.pred)

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R language implements random forest code