Learn R Programming

ORION (version 1.0.3)

summary.Subcascades: Summary Subcascades Characteristics

Description

Generates a general overview of the characteristics of the Subcascades object.

Usage

# S3 method for Subcascades
summary(object = NULL, includeClassSummary = TRUE, digits = 3, ...)

Arguments

object

A Subcascades object as it is returned by subcascades-function.

includeClassSummary

Boolean indicating if the occurrence of classes by size should be included in the summary.

digits

Integer defining the number of decimal places as it is used in the round-function.

...

Further arguments passed from other methods.

Details

This function gives a general overview of characteristics of the Subcascades object, like number of cascades or maximal cascade length.

See Also

subcascades, summary.PredictionMap, summary.Groupwise, summary.Conf, summary.ConfusionTable

Examples

Run this code
# 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,numSol=10000)

summary(subc)
# }

Run the code above in your browser using DataLab