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Classification by Regression Operator vs. Polynomial By Binomial Classification
I have a multi class approach by using SVM (mySVM) and a operator to enable the multi classification. The problem is, that the two possible operators "Classification by Regression Operator" and "Polynomial By Binomial Classification" lead to different kind of results for the confidence values:
1) Classification by Regression Operator: confidence value element of (-∞, 1]. This seems to be the signed distance to the hyperplane. Is this correct? Why are there no values higher than 1? (1 would mean that it is on the edge of the margin. Might it depend on the kernel function?)
2) Polynomial By Binomial Classification: confidence value element of [0,1]. Is this any kind of probability? Definition?
Unfortunately, I don't find any hint how the confidence values are defined (with regard to the used operators or SVM implementation).
In order to use RapidMiner and the output, I need a clear understanding of the parameters, confidence values and dependencies to the RapidMiner operators.
I would be pleased, if you would help me with these issues!
PS: I have already opened a similar thread in another category (https://rapid-i.com/rapidforum/index.php/topic,9418.msg31536.html)