RocPlot {LOGANTree} | R Documentation |
ROC Curves Plot
Description
ROC Curves Plot
Usage
RocPlot(ModelObject, testdata, outcome, reflevel)
Arguments
ModelObject |
An object obtained from TreeModels() or TreeModelsAllSteps() functions. |
testdata |
A testing dataset. |
outcome |
A character string with the name of the binary outcome variable. |
reflevel |
A character string with the quoted reference level of outcome. |
Value
This function returns a plot with ROC curves for the selected tree-based models (i.e., decision tree, random forest, or gradient boosting).
Examples
colnames(training)[14] <- "perf"
colnames(testing)[14] <- "perf"
ensemblist <- TreeModels(traindata = training,
methodlist = c("dt", "gbm","rf"),checkprogress = TRUE)
RocPlot(ModelObject = ensemblist$ModelObject, testdata = testing,
outcome = "perf", reflevel = "incorrect")
[Package LOGANTree version 0.1.1 Index]