[R] Can't see what i did wrong..

[Jessica Streicher]

Now i let it run for one specific set and got the same bad result, then i deactivated the probabilities and got a good result, then i activated the probabilities again and got a good result .. huh???

On 15.11.2012, at 15:32, Jessica Streicher wrote:

> Its not scaling.. so.. 
> 
> I guess i'll stay severely frustrated, and yes i know this is probably not enough information for anyone to help.
> Still, talking helps ;)
> 
> On 15.11.2012, at 15:15, Jessica Streicher wrote:
> 
>> with
>> 
>> pred.pca<-predict(splits[[i]]$pca,trainingData at samples)[,1:nPCs]
>> dframe<-as.data.frame(cbind(pred.pca,class=isExplosive(trainingData,2)));
>> results[[i]]$classifier<-ksvm(class~.,data=dframe,scaled=T,kernel="polydot",type="C-svc",
>> 		C=C,kpar=list(degree=degree,scale=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 scale the data or something? 
>> 
> 
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