plotErrorsFoldTwoLayerCV-methods: plotErrorsFoldTwoLayerCV Method to plot the error rate of a...

Description Methods See Also Examples

Description

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).

Methods

object = "assessment"

The method is only applicable on objects of class assessment.

See Also

plotErrorsSummaryOneLayerCV-methods, plotErrorsRepeatedOneLayerCV-methods

Examples

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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)

Rmagpie documentation built on Nov. 17, 2017, 9:14 a.m.