Reputation: 139
I am working through an example in "Machine Learning with R, 2nd Edition" by Brett Lantz. I used the following code to create a model object:
set.seed(300)
m = train(default ~ ., data = credit, method = "C5.0")
m
The portion of the output I am interested in is:
Resampling results across tuning parameters:
model winnow trials Accuracy Kappa
rules FALSE 1 0.6847204 0.2578421
rules FALSE 10 0.7112829 0.3094601
rules FALSE 20 0.7221976 0.3260145
rules TRUE 1 0.6888432 0.2549192
rules TRUE 10 0.7113716 0.3038075
The Accuracy SD and Kappa SD are absent from this output. This question has been posted several time, but I have not found a solution. Is the reason because the latest caret package version does not provide this output anymore?
Upvotes: 0
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