I have a strange issue, whenever I try increasing the mfinal argument in boosting function of adabag package beyond 10 I get an error, Even with mfinal=9 I get warnings.
My train data has 7 class Dependant variable and 100 independant variables and around 22000 samples of data(Smoted one class using DMwR). My Dependant Variable is at the end of the training dataset in sequence.
library(adabag)
gc()
exp_recog_boo <- boosting(V1 ~ .,data=train_dataS,boos=TRUE,mfinal=9)
Error in 1:nrow(object$splits) : argument of length 0
In addition: Warning messages:
1: In acum + acum1 :
longer object length is not a multiple of shorter object length
Thanks in advance.
My mistake was that I didn't set the TARGET as factor before.
Try this:
train$target <- as.factor(train$target)
and check by doing:
str(train$TARGET)
This worked for me:
modelADA <- boosting(lettr ~ ., data = trainAll, boos = TRUE, mfinal = 10, control = (minsplit = 0))
Essentially I just told rpart to require a minimum split length of zero to generate tree, it eliminated the error. I haven't tested this extensively so I can't guarantee it's a valid solution (what does a tree with a zero length leaf actually mean?), but it does prevent the error from being thrown.
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