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...=scale,offset=offset),prob.model=T) and a degree of 5 i get an error of 0 reported by the ksvm object. But when doing pred.pca<-predict(splits[[i]]$pca,trainingData at samples)[,1:nPCs] pred.svm<-kernlab::predict(results[[i]]$classifier,pred.pca,type="probabilities"); results[[i]]$trainResults$predicted<-pred.svm[,2] the results vary widely from the class vector. Nearly all predictions are somewhat around 0.29. Its just strange. And i have no idea where things go wrong. They're in the same loop with i, so its probably not an indexing issue. Maybe kernlabs predict doesn't s...