You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In paper we have Mean error for model comparison, but I wonder is it common to use some statistical test to compare models? i.e. check that error distribution of model A and B is normal and then use some statistical test to compare distributions?
The text was updated successfully, but these errors were encountered:
@e-sarkis
To my knowledge, most of the methods used mean error for evaluation rather than distribution comparison. Maybe because it is more direct than distribution. Wondering how to guarantee that two same error distributions also have a very small mean error per sample?
In paper we have
Mean error
for model comparison, but I wonder is it common to use some statistical test to compare models? i.e. check that error distribution of model A and B is normal and then use some statistical test to compare distributions?The text was updated successfully, but these errors were encountered: