I'm glad finally there is an operator in Rapidminer to estimate *standard* logistic regression. My question has to do with the class defined as "success". Let's say I have a binomial label Y with two possible outcome "A" or "B". Which equation is being estimated by RM:

P( Y = "A" | regressors ) = Exp( beta*X) / (1 + Exp(beta*X) )

or

P( Y = "B" | regressors ) = Exp( beta*X) / (1 + Exp(beta*X) ).

Before this operator became available I used the Weka operator W-Logistic. The output of this operator indicated the Class used as "success" (for instance in the output below the modeled class is "false".