RFlocalfdr.data (version 0.0.3)

ch22: ch22 importance values

Description

A dataset containing 1103547 importance values, and a table of variables used in splits. Note that the importances have not been logged.

Usage

ch22

Format

A list

imp

importaces

C

table of counts

Examples

if (FALSE) {
library(ranger)
system.time(fit.ranger.7 <- ranger(dependent.variable.name= "V1", data = aa2,
                                importance = "impurity",
                                 num.threads=20,num.trees = 100000,
                                 seed=123))
#Ranger result
#Call:
#ranger(dependent.variable.name = "V1", data = aa2, importance = "impurity", 
#                              num.threads = 20, num.trees = 1e+05, seed = 123) 
#Type:                             Classification 
#Number of trees:                  1e+05 
#Sample size:                      2504 
#Number of independent variables:  1103547 
#Mtry:                             1050 
#Target node size:                 1 
#Variable importance mode:         impurity 
#Splitrule:                        gini 
#OOB prediction error:             4.27 %
C <-count_variables(fit.ranger.7)
imp<-rf1$variable.importance

ch22<-list(imp,C)
names(ch22)<-c("imp","C")
}

data(ch22)