随机森林篇 R语言实现

版权声明:本文为博主原创文章,未经博主允许不得转载。 https://blog.csdn.net/GISLN/article/details/89357980

直接上代码

#RF code1

library(randomForest)
library(readxl)

data<- read_excel('***.xlsx',,sheet=1)

# Random sampling
samplesize = 0.7 * nrow(data)
# set.seed(80)
index = sample( seq_len ( nrow ( data ) ), size = samplesize )

# # Create training and test set
datatrain = data[ index, ]
datatest = data[ -index, ]

#rf<-randomForest(ER~Tair+Tsoil+RH+VPD,data=datatrain ,mtry=4,ntree=1000)
rf<-randomForest(ER~.,data=datatrain ,mtry=4,ntree=1000)
#predict
prediction <- predict(rf, datatest )

#calculate R2 and RMSE

#RF code2

待续...关于如何选择mtry和ntree

猜你喜欢

转载自blog.csdn.net/GISLN/article/details/89357980
今日推荐