Solved – Odd error with caret function rfe

library(caret) set.seed(1)  x <- data.frame(runif(10),runif(10)) y <- rnorm(10) rfeModel <- rfe(x,y,rfeControl = rfeControl(functions = lmFuncs)) 

returns:

Error in { : task 1 failed – "undefined columns selected"

While this code:

data(BloodBrain)  x <- scale(bbbDescr[,-nearZeroVar(bbbDescr)]) x <- x[, -findCorrelation(cor(x), .8)] x <- as.data.frame(x)  lmProfile <- rfe(x, logBBB,rfeControl = rfeControl(functions = lmFuncs)) 

Works fine. What am I doing wrong in the 1st example? (I get the same error in R 2.14.0 and 2.13.2)

You have to specify the sizes argument ($leq 2$ in your example). The default value in rfe is sizes=2^(2:4), but you only have two features.

?rfe

Arguments

  • sizes

    a numeric vector of integers corresponding to the number of features that should be retained

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Solved – Odd error with caret function rfe

library(caret) set.seed(1)  x <- data.frame(runif(10),runif(10)) y <- rnorm(10) rfeModel <- rfe(x,y,rfeControl = rfeControl(functions = lmFuncs)) 

returns:

Error in { : task 1 failed – "undefined columns selected"

While this code:

data(BloodBrain)  x <- scale(bbbDescr[,-nearZeroVar(bbbDescr)]) x <- x[, -findCorrelation(cor(x), .8)] x <- as.data.frame(x)  lmProfile <- rfe(x, logBBB,rfeControl = rfeControl(functions = lmFuncs)) 

Works fine. What am I doing wrong in the 1st example? (I get the same error in R 2.14.0 and 2.13.2)

Best Answer

You have to specify the sizes argument ($leq 2$ in your example). The default value in rfe is sizes=2^(2:4), but you only have two features.

?rfe

Arguments

  • sizes

    a numeric vector of integers corresponding to the number of features that should be retained

Similar Posts:

Rate this post

Leave a Comment