Hallo community,
similar to my post on GBT I have encountered a similar behaviour with RM's built-in support vector machines with RM 7.6001 (I have not encountered this in earlier versions of RM, but this could just be a coincidence):
Searching the forum, I found a post from @IngoRM stating that "for binomial classes, a good estimation of the probability for the positive class which is also used by RapidMiner is 1 / (1 + exp(-function_value))) where function_value is the SVM prediction"
Has this changed, since this statement was made more than 5 years ago? If not, I am a bit confused. I know that confidence values are not the same as probablitites, but why would the algorithm make a (correct) classification of "YES", if the confidence value for this choice is only 0.366?
Any insights or references on this would be very much appreciated. Thank you.
