You can arbitrarily scale error bars based on real world feedback, but the underlying purpose of a model is rarely served by such tweaking. Often the point of error bars is less “How surprised you should be when you are wrong” than it is “how wrong you should be before you’re surprised.”
When trying to detect cheating in online games you don’t need to predict exact performance, but you want to decent anomalies quickly. Detecting cereal killers, gang wars, etc isn’t about nailing the number of murders on a given day but patterns within those cases etc.
When trying to detect cheating in online games you don’t need to predict exact performance, but you want to decent anomalies quickly. Detecting cereal killers, gang wars, etc isn’t about nailing the number of murders on a given day but patterns within those cases etc.