Created
January 16, 2018 05:59
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iris
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| library(randomForest) | |
| library(rpart) | |
| library(kernlab) | |
| library(nnet) | |
| data<-iris | |
| ndata<-nrow(data) | |
| ridx<-sample(ndata,ndata*0.5) | |
| data.learn<-data[ridx,] | |
| data.test<-data[-ridx,] | |
| #randomforest | |
| forest<-randomForest(Species~.,data=data.learn) | |
| pred.forest<-predict(forest,newdata=data.test,type="class") | |
| table(pred.forest,data.test[,5]) | |
| #決定木 | |
| cart<-rpart(Species~.,data=data.learn) | |
| pred.cart<-predict(cart,newdata=data.test,type="class") | |
| table(pred.cart,data.test[,5]) | |
| #svm | |
| svm<-ksvm(Species~.,data=data.learn) | |
| pred.svm<-predict(svm,newdata=data.test) | |
| table(pred.svm,data.test[,5]) | |
| #nn | |
| nn<-nnet(Species~.,data=data.learn,size=10) | |
| pred.nn<-predict(nn,newdata=data.test,type="class") | |
| table(pred.nn,data.test[,5]) | |
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