CrossValidationResultAccessors {kebabs} | R Documentation

## CrossValidationResult Accessors

### Description

CrossValidationResult Accessors

### Usage

    ## S4 method for signature 'CrossValidationResult'
    folds(object)

### Arguments

`object` | a cross validation result object (can be extracted from KeBABS model with accessor `cvResult`)

### Value

`folds`: returns the folds used in CV
`performance`: returns a list with the performance values

### Accessor-like methods

  `folds`: return the CV folds.

  `performance`: return the collected performance parameters.

### Author(s)

Johannes Palme <kebabs@bioinf.jku.at>

### References

http://www.bioinf.jku.at/software/kebabs
J. Palme, S. Hochreiter, and U. Bodenhofer (2015) KeBABS: an R package for kernel-based analysis of biological sequences. Bioinformatics, 31(15):2574-2576, 2015. DOI: 10.1093/bioinformatics/btv176.

### Examples

    ## create kernel object for normalized spectrum kernel
    specK5 <- spectrumKernel(k=5)
    ## Not run:
    ## load data
    data(TFBS)

    ## perform training - feature weights are computed by default
    model <- kbsvm(enhancerFB, yFB, specK5, pkg="LiblineaR",
                   svm="C-svc", cross=10, cost=15, perfParameters="ALL")

    ## show model selection result
    cvResult(model)

    ## extract fold AUC
    performance(cvResult(model))$foldAUC

    ## End(Not run)

[Package kebabs version 1.18.0 Index]