summary.PredictionMap: Summary of prediction maps

In ORION: Ordinal Relations

Description

summary.PredictionMap returns a summarizing overview of a PredictionMap object.

Usage

## S3 method for class 'PredictionMap'
summary(object = NULL, ...)

Arguments

object	A PredictionMap object as it is returned by predictionMap-function.
...	Further arguments passed from other methods.

Details

This function gives an overview of the PredictionMap object. A short summary about the utilized data and labels is given as well as the number of runs and folds of the cross-validation. The summary also includes if the prediction map was generated in parallel and the name of the utilized TunePareto classifier as well as its specified parameters.

See Also

predictionMap, summary.Subcascades, summary.Groupwise, summary.Conf, summary.ConfusionTable

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')

summary(predMap)

ORION documentation built on Feb. 7, 2022, 5:15 p.m.