Description Usage Arguments Author(s) Examples
Plotting single or multiple ROC curves of the cross-validated Random Forest models
plot.mccv
allows to plot single or multiple ROC curves to characterize the performace of a cross-validated
Random Forest model
1 2 |
x |
an object of class mccv |
y |
not used |
... |
optional graphical parameters |
opt |
a list containing the following optional parameters:
|
Piergiorgio Palla
1 2 3 4 5 | ## data(cachexiaData)
## params <- list(ntrees = 500, ref_level = levels(cachexiaData[,2])[1] )
## mccv_obj <- rfMCCV(cachexiaData, nsplits = 50, test_prop = 1/3, opt_params = params)
## params = list(avg = 'vertical', colorize = FALSE)
## plot.mccv(mccv_obj, opt = params)
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