This method creates a plot that represent the summary estimated error rate and the cross-validated error rate in each repeat 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) and the cross-validated error rate obtained in each repeat 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 <- runOneLayerExtCV(expeOfInterest) plotErrorsRepeatedOneLayerCV(expeOfInterest)
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