Re: "Lesson 2: Fitting the Model -> Understanding the Offset" (Module "Predictive Modeling Using Logistic Regression")
Would it be possible to clarify which method between offset and sampling weights is better?
The above lesson seems to imply that offset is better, however, Appendix B1 (Sampling Weights) of the course notes, hints at the fact that in certain circumstances sampling weights may provide an advantage.
As an aside, the Enterprise Miner Reference Help (p.189) strongly advises against using sampling weights for predictive modelling.