machine learning - Retrieve candidate attributes for a node in Decision Tree using R -


i using r creating decision tree using cart. did using

feature_vectors <- read.table("c:/users/dvs/desktop/tagme!-data/train/feature_vectors.txt", quote="\"") set.seed(1234) ind <- sample(2, nrow(winequality.red), replace=true, prob=c(0.7, 0.3)) traindata <- winequality.red[ind==1,] testdata <- winequality.red[ind==2,] myformula <- quality ~ fixed.acidity + volatile.acidity + citric.acid + residual.sugar + chlorides + free.sulfur.dioxide + total.sulfur.dioxide + density + ph + sulphates + alcohol table(predict(wine_ctree), traindata$quality) print(wine_ctree) plot(wine_ctree)

now, need print list of candidate attributes possible root node. ie node minimal deviation in (im)purity values selected root node. there way use built in functions or have modify source?


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