dlcvBoruta | R Documentation |
Double Loop Cross Validation with Boruta. Features are selected in the inner loop and used in the outer loop to train the model that is subsequently tested on the left-out fold in the outer loop.
dlcvBoruta(folds, rec, features)
folds |
rsample object with either group V-fold or the standard V-fold cross validation folds. |
rec |
recipe object used for training |
features |
features |
Tibble with k outer loop models, and training and testing predictions.
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