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Description
I have a data set of 11 variables, including one outcome variable (ytr) and 10 predictors (xtr). There are 368 observations. I am running the following simple code:
cc <- cubistControl(rules = 100, extrapolation = 5)
or
cc <- cubistControl(rules = 50, extrapolation = 5)
tuned <- cubist(x = xtr, y = ytr,
committees = 1,
neighbors = 0,
control = cc)
On this data set, I get 7 rules if I set the rules to be 100, but 5 rules with the rules of 50. So, the only change that I make here is the number of rules in cubistControl(). As far as I understand this parameter limit the maximum rules that cubist will identify. So, this is somehow strange to me.
To be honest, I am not even sure if this issue is a bug or not because I have not checked with other data sets. But I feel like to report it to you.
I am sorry I can't post the exact data set here. But please let me know if you want to take a look into this then I will email you the data and script. If this is not a bug and can happen, please correct me. Thanks!