## 20.19 Complexity Parameter

We can print a table of optimal prunings based on a complexity parameter using rpart::printcp(). The data is actually stored as model\$cptable.

printcp(model)
##
## Classification tree:
## rpart(formula = form, data = ds[tr, vars], model = TRUE)
##
## Variables actually used in tree construction:
## [1] humidity_3pm    rainfall        wind_gust_speed
##
## Root node error: 26101/123722 = 0.21096
##
## n= 123722
##
##         CP nsplit rel error  xerror      xstd
## 1 0.162791      0   1.00000 1.00000 0.0054982
## 2 0.026283      1   0.83721 0.84372 0.0051548
## 3 0.011034      3   0.78464 0.78886 0.0050193
## 4 0.010000      4   0.77361 0.78805 0.0050173

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