Hi,
you need the score value , have a look at ?svm.predict and in the ROCR
example.
traindata <- as.data.frame(matrix(runif(1000),ncol=10))
trainlabels <-
as.factor(sample(c("win","lose"),nrow(data),replace=T,prob=c(0.5,0.5)))
model <- svm(traindata,trainlabels, type="C-classification",
kernel="radial", cost=10,
class.weights=c("win"=3,"lose"=1), scale=FALSE, probability = TRUE)
prediction <- predict(model, traindata, decision.values = TRUE,
probability = TRUE)
probs <- attr(prediction, "probabilities")[,1]
pred <- prediction(probs,trainlabels)
HTH Christian
Hello,
I've come across a strange error...
Here is what happens:
model <- svm(traindata,trainlabels, type="C-classification",
kernel="radial", cost=10, class.weights=c("win"=3,"lose"=1),
scale=FALSE, probability = TRUE)
predictions <- predict(model, traindata)
pred <- prediction(predictions, trainlabels)
This returns an error:
Error in prediction(predictions, trainlabels) :
Format of predictions is invalid.
Yet my predictions is just a matrix of predicted labels. Nothing
fancy. (In fact, my step follow the exact example on the ROCR homepage.)
A search through google for "Format of predictions is invalid" returns
zero results.
Can anyone suggest how I might fix this problem?
Thank You,
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
