# NOT RUN {
library(TunePareto)
data(esl)
data = esl$data
labels = esl$labels
foldList = generateCVRuns(labels = labels,
ntimes = 2,
nfold = 2,
leaveOneOut = FALSE,
stratified = TRUE)
predMap = predictionMap(data, labels, foldList = foldList,
classifier = tunePareto.svm(), kernel='linear')
# generate Subcascades object
subc = subcascades(predMap,thresh=0.7)
#create a Groupwise object
groupwise = groupwise(subc)
print(groupwise, printSizes = 2)
# }
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