On Aug 18, 2014, at 12:15 PM, Olivier Grisel <[email protected]> wrote:
> > since it would make the "estimate" and "error" calculation more convenient, > > right? > > I don't understand what you mean "estimate" by "error". Both the model > parameters, its individual predictions and its cross-validation scores or > errors can be called "estimates": anything that is derived from sampled data > points is an estimate. > For example, the calculation of the mean-accuracy from all iterations, and the calculation of the standard deviation/error of the mean (just like in regular Kfold cross-validation). I have to agree that there are probably better approaches and techniques as you mentioned, but I wouldn't remove it just because very few people use it in practice.
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