rocPlot {nlcv} | R Documentation |
Produce a ROC plot for a classification model belonging to a given technique and with a given number of features.
Description
Produce a ROC plot for a classification model belonging to a given technique and with a given number of features.
Usage
rocPlot(nlcvObj, tech, nfeat, main = NULL, globalAUCcol = "#FF9900", ...)
Arguments
nlcvObj |
object of class 'nlcv' as produced by the nlcv function |
tech |
technique; character of length one; one of 'dlda', 'lda', 'nlda', 'qda', 'glm', 'randomForest', 'bagg', 'pam', 'svm' or 'ksvm' |
nfeat |
number of features used in the classification model; numeric of length one |
main |
main title to be used for the ROC plot |
globalAUCcol |
color for the global AUC (defaults to '#FF9900') |
... |
further arguments for the plot call (such as sub e.g.) |
Value
A ROC plot is drawn to the current device
Author(s)
Tobias Verbeke
[Package nlcv version 0.3.5 Index]