Pool random walk spatial cross-validation results

Creates a summary of the frequency and performance (AUROC) of optimal parameter sets across spatial cross-validation repetitions.

rwPoolSPCV(x, plot_freq = FALSE)

Arguments

x	The (list) result of spcvRndWalk()
plot_freq	(Logical) if TRUE, will a create bubble plot of optimal parameter set frequencies across grid search space

Value

A data frame summarizing the frequency and performance of each optimal parameter sets