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