View source: R/mainFunctions.R
This function is taken nearly verbatim from the cvAUC
package. The only difference
is that it additionally returns estimated influence functions, which allows
us to do later comparisons of CV-AUC between different learners.
1 2 3 4 5 6 7 | ci.cvAUC_withIC(
predictions,
labels,
label.ordering = NULL,
folds = NULL,
confidence = 0.95
)
|
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