trainControl {caret} | R Documentation |
Control of printing and resampling for train
trainControl( method = "boot", number = ifelse(method == "cv", 10, 25), verboseIter = TRUE, returnData = TRUE, p = 0.5, index = NULL)
method |
The resampling method: boot , cv ,
LOOCV , LGOCV (for repeated training/test splits), or
oob (only for random forest, bagged trees, bagged earth, bagged flexible discriminant analysis, or conditional tree forest models) |
number |
Either the number of folds or number of resampling iterations |
verboseIter |
A logical for printing a training log. |
returnData |
A logical for saving the data |
p |
For leave-group out cross-validation: the training percentage |
index |
a list with elements for each resampling iteration. Each list element is the sample rows used for training at that iteration. |
An echo of the parameters specified
max Kuhn