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Random forest example
#Random Forest Example data(iris) str(iris) head(iris) attach(iris) library(randomForest) #Seperating the training and testing data Ind=sample(2, nrow(iris), replace=TRUE, prob=c(0.7, 0.3)) TrainData=iris[Ind==1, ] TestData=iris[Ind==2, ] #Building the random forest Iris_rf=randomForest(Species~.,data=TrainData,ntree=100,proximity=TRUE) #Check accuracy of the training set table(predict(Iris_rf), TrainData$Species) print(Iris_rf) plot(Iris_rf) #Using the model on the test dataset Test=predict(Iris_rf, TestData) table(Test, TestData$Species) plot(margin(Iris_rf,TestData$Species)) tune.rf=tuneRF(iris[,-5],iris[,5], stepFactor=0.5) print(tune.rf)
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