Binomial Classification Question
Say I'm trying to do binomial classification. I know that if I try to classify every single example, my accuracy won't be too good. But what matters is that the examples which have high classification confidence are correctly classified. So I don't need to know the classification for all examples, I just need to know which examples the learning algorithm can classify with a high level of confidence. Is there a learning algorithm in RapidMiner that supports this?