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In those studies, however, raters profess great confidence, and positively identify the hallmarks of red wine in white wine. Sure, it shifts their priors, but u
by gbrown 8y ago
In those studies, however, raters profess great confidence, and positively identify the hallmarks of red wine in white wine. Sure, it shifts their priors, but unlike a Bayesian model there's no obvious deviation between the prior and the professed posterior.
- cycrutchfield 8y agoThat may be the case, but if you have ever trained a classifier you know that expecting a model to generalize when given data that it's never seen before is not something you should usually expect. It doesn't mean that there is no discernible difference between the two classes, just that the model has overfit to the narrow subset of data and things that were previously immutable (e.g. the color of the wine) were not actually immutable.
- gbrown 8y agoPoint taken, but I really do think that's another way of saying people really aren't all that good at tasting wine.