Description Usage Arguments Details See Also Examples
summary.ConfusionTable
returns a summarizing overview.
1 2 |
object |
A ConfusionTable object as it is returned by |
... |
Further arguments passed from other methods. |
This function gives an overview of the characteristics of the ConfusionTable object. The cascade with the corresponding mean accuracy are given.
confusionTable
, summary.PredictionMap
, summary.Subcascades
, summary.Groupwise
, summary.Conf
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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')
# Calculation of the confusion matrix for '0>2>3>4'.
confusionTable = confusionTable(predMap, cascade = '0>2>3>4')
summary(confusionTable)
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