| plotErrorsFoldTwoLayerCV-methods {Rmagpie} | R Documentation |
This method creates a plot that reprenset the error rate in each fold of each repeat of the second layer of cross-validation of the two-layer cross-validation of the assessment at stake. The plot represents the error rate versus the size of gene subsets (for SVM-RFE) or the threshold values (for NSC).
plotErrorsSummaryOneLayerCV-methods, plotErrorsRepeatedOneLayerCV-methods
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 <- runTwoLayerExtCV(expeOfInterest)
plotErrorsFoldTwoLayerCV(expeOfInterest)