calcMonteCarlo calculates a single performance measure for the
results of a
plMonteCarlo function call.
A character vector or string. Specifies column(s) to use when summarizing model performance. Listing multiple columns will calculate performance as a product of those listed performances.
For each dataset split (i.e., bootstrap),
the validation set performance for the "best" model (where "best" is
defined as the model with the maximum "internal" cross-validation
max($train.plCV)). The validation set performance
ultimately averaged depends on the supplied
A numeric scalar. The cross-validation accuracy.
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