| CrossValidationResultAccessors {kebabs} | R Documentation |
CrossValidationResult Accessors
## S4 method for signature 'CrossValidationResult' folds(object)
object |
a cross validation result object (can be extracted from
KeBABS model with accessor |
folds: returns the folds used in CV
performance: returns a list with the performance values
folds:
return the CV folds.
performance:
return the collected performance parameters.
Johannes Palme <kebabs@bioinf.jku.at>
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.
## 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)