| summary.ConfusionTable | R Documentation |
summary.ConfusionTable returns a summarizing overview.
## S3 method for class 'ConfusionTable'
summary(object = NULL, ...)
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
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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