plotErrorsSummaryOneLayerCV-methods {Rmagpie}R Documentation

plotErrorsSummaryOneLayerCV Method to plot the summary estimated error rates of a one-layer Cross-validation

Description

This method creates a plot that represent the summary estimated error rate of the one-layer cross-validation of the assessment at stake. The plot represents the summary estimate of the error rate (averaged over the repeats) versus the size of gene subsets (for SVM-RFE) or the threshold values (for NSC).

Methods

object = "assessment"
The method is only applicable on objects of class assessment.

See Also

plotErrorsFoldTwoLayerCV-methods, plotErrorsRepeatedOneLayerCV-methods

Examples

data('vV70genesDataset')

expeOfInterest <- new("assessment", dataset=vV70genes,
                                   noFolds1stLayer=3,
                                   noFolds2ndLayer=2,
                                   classifierName="svm",
                                   typeFoldCreation="original",
                                   svmKernel="linear",
                                   noOfRepeat=10,
                                   featureSelectionOptions=new("geneSubsets", optionValues=c(1,2,3,4,5,6)))

expeOfInterest <- runOneLayerExtCV(expeOfInterest)

plotErrorsSummaryOneLayerCV(expeOfInterest)


[Package Rmagpie version 1.0.0 Index]