Displaying 3 results from an estimated 3 matches for "svmres".
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sumres
2007 Jan 22
0
Recursive-SVM (R-SVM)
...TrainInd]
xTest <- x[TestInd,]
yTest <- y[TestInd]
## index of the genes used in the
SelInd <- seq(1, nGene)
for( gLevel in 1:length(ladder) )
{
## record the genes selected in this ladder
SelFreq[SelInd, gLevel] <- SelFreq[SelInd, gLevel] +1
## train SVM model and test error
svmres <- svm(xTrain[, SelInd], yTrain, scale=F, type="C-classification", kernel="linear" )
if( CVtype == "LOO" )
{
svmpred <- predict(svmres, matrix(xTest[SelInd], nrow=1) )
} else
{
svmpred <- predict(svmres, xTest[, SelInd] )
}
ErrVec[gLevel] <- ErrVec[...
2011 Feb 22
0
why no "probabilities" from svm.predict?
> library(ROCR)
> library(e1071)
svmres.prob <- svm(traindx, traindy, probability=TRUE)
svmpred.prob <- predict(svmres.prob, testdx, probability = TRUE,
decision.values = TRUE, type="prob")
> print(length(attr(svmpred.prob, "probabilities")))
[1] 0
> print(attr(svmpred.prob, "probabilities"))
NU...
2011 Feb 21
3
ROC from R-SVM?
*Hi,
*Does anyone know how can I show an *ROC curve for R-SVM*? I understand in
R-SVM we are not optimizing over SVM cost parameter. Any example ROC for
R-SVM code or guidance can be really useful.
Thanks, Angel.
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