> > I guess you should generate the pairs yourself. > Maybe I should phrase it differently then: why isn't pairwise classification the default? Is it somehow inferior? Has some bias? I've never used multiclass classification so I am not sure about the differences between the two approaches.
> But pay attention that estimating the accuracy using "all" possible pairs > of the > test set incurs in an optimisitc bias. The pairs are not independent since > they sometimes share one element. Having a test set of non-independent > examples leads to optimistic bias. In order not to have that bias you > should > use instead the subset of non-overlapping pairs. > Thanks! I'm well aware of non-indepence issues. Jonas
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