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predictions
2013 Jan 08
0
bagging SVM Ensemble
..., gamma = gg, kernel = "polynomial")
modelrad3 <- svm(class ~ ., sboot, type = "C-classification", cost = cc,gamma = gg, kernel = "radial")
modeltan4 <- svm(class ~ ., sboot, type = "C-classification", cost = cc,gamma = gg, kernel = "sigmoid")
predictions1<- predict(modellin1,newdata=testset, decision.values=F)
predictions2<- predict(modelpoly2,newdata=testset, decision.values=F)
predictions3<- predict(modelrad3,newdata=testset, decision.values=F)
predictions4<- predict(modeltan4,newdata=testset, decision.values=F)
noboot1<-sum(predict...