R ctree()

1 개요[ | ]

R ctree()
  • "Conditional Inference Trees"
library(party)
irisct <- ctree(Species ~ .,data = iris)
irisct
##
## 	 Conditional inference tree with 4 terminal nodes
## 
## Response:  Species 
## Inputs:  Sepal.Length, Sepal.Width, Petal.Length, Petal.Width 
## Number of observations:  150 
## 
## 1) Petal.Length <= 1.9; criterion = 1, statistic = 140.264
##   2)*  weights = 50 
## 1) Petal.Length > 1.9
##   3) Petal.Width <= 1.7; criterion = 1, statistic = 67.894
##     4) Petal.Length <= 4.8; criterion = 0.999, statistic = 13.865
##       5)*  weights = 46 
##     4) Petal.Length > 4.8
##       6)*  weights = 8 
##   3) Petal.Width > 1.7
##     7)*  weights = 46 
plot(irisct)

Rplot-ctree-iris.png

2 같이 보기[ | ]

3 참고[ | ]

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