So "type error" is a false positive, "type I error" is a false negative, and "type II error" is when a variable has the wrong type, right?
@MemberOfSpecies "type 0" error is when not even wrong enough to be considered an error.
-
-
@DeityOfReligion And type III is false high imaginary part, type IV is false low imaginary part?Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
@DeityOfReligion@MemberOfSpecies "type III error" is when you forget which meaningless number maps to which concept -
@ModelOfEnsemble@DeityOfReligion How am I going to get that below 5%?
End of conversation
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.