Hello everyone
here is the code that implements bagging using ipred package in R :
library(ipred)
library(mlbench)
data("BostonHousing")
# Test set error (nbagg=25, trees pruned): 3.41 (Breiman, 1996a, Table 8)
mod <- bagging(medv ~ ., data=BostonHousing, coob=TRUE)
print(mod)
pred <- predict(mod)
pred<- as.data.frame(pred)
How can I have 95% Confidence interval for each predicted values !?
I appreciate if someone help me
Thanks
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
