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).
The method is only applicable on objects of class assessment.
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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)
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