Question: Using a good model after testing but getting poor real world results is a consequence of which type of bias? Poor training data Underspecification Model

Using a "good" model after testing but getting poor real world results is a consequence of which type of bias?
Poor training data
Underspecification
Model approach errors
Using a "good" model after testing but getting poor real world

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