我需要从决策树中的规则中提取信息。我在R中使用rpart软件包。我在软件包中使用演示数据来解释我的要求:

data(stagec)
fit<- rpart(formula = pgstat ~ age + eet + g2 + grade + gleason + ploidy, data = stagec, method = "class", control=rpart.control(cp=0.05))
fit


印花服装秀

n= 146

node), split, n, loss, yval, (yprob)
      * denotes terminal node

 1) root 146 54 0 (0.6301370 0.3698630)
   2) grade< 2.5 61  9 0 (0.8524590 0.1475410) *
   3) grade>=2.5 85 40 1 (0.4705882 0.5294118)
     6) g2< 13.2 40 17 0 (0.5750000 0.4250000)
      12) ploidy=diploid,tetraploid 31 11 0 (0.6451613 0.3548387) *
      13) ploidy=aneuploid 9  3 1 (0.3333333 0.6666667) *
     7) g2>=13.2 45 17 1 (0.3777778 0.6222222)
      14) g2>=17.91 22  8 0 (0.6363636 0.3636364) *
      15) g2< 17.91 23  3 1 (0.1304348 0.8695652) *


例如我想获得以下第12个节点的信息

如果等级> = 2.5,且g2
谢谢

最佳答案


rpart.plot
软件包版本3.0(2018年7月)具有功能
rpart.rules用于为树生成一组规则。例如

library(rpart.plot)
data(stagec)
fit <- rpart(formula = pgstat ~ ., data = stagec, method = "class", control=rpart.control(cp=0.05))
rpart.rules(fit)




pgstat
  0.15 when grade <  3
  0.35 when grade >= 3 & g2 <  13       & ploidy is diploid or tetraploid
  0.36 when grade >= 3 & g2 >=       18
  0.67 when grade >= 3 & g2 <  13       & ploidy is             aneuploid
  0.87 when grade >= 3 & g2 is 13 to 18




rpart.rules(fit, roundint=FALSE, clip.facs=TRUE)




pgstat
  0.15 when grade <  2.5
  0.35 when grade >= 2.5 & g2 <  13       & diploid or tetraploid
  0.36 when grade >= 2.5 & g2 >=       18
  0.67 when grade >= 2.5 & g2 <  13       & aneuploid
  0.87 when grade >= 2.5 & g2 is 13 to 18


有关更多示例,请参见
rpart.plot vignette

08-24 22:23