| summary.ConfusionTable {ORION} | R Documentation |
Summary of confusion tables
Description
summary.ConfusionTable returns a summarizing overview.
Usage
## S3 method for class 'ConfusionTable'
summary(object = NULL, ...)
Arguments
object |
A ConfusionTable object as it is returned by |
... |
Further arguments passed from other methods. |
Details
This function gives an overview of the characteristics of the ConfusionTable object. The cascade with the corresponding mean accuracy are given.
See Also
confusionTable, summary.PredictionMap, summary.Subcascades, summary.Groupwise, summary.Conf
Examples
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)
[Package ORION version 1.0.3 Index]