no code implementations • 31 May 2021 • Runshan Fu, Yangfan Liang, Peter Zhang
We show that even with unbiased input data, when a model is mis-specified: (1) population-level mean prediction error can still be negligible, but group-level mean prediction errors can be large; (2) such errors are not equal across groups; and (3) the difference between errors, i. e., bias, can take the worst-case realization.
