 We show that CES can result in counterintuitive attributions in theory and in practice (we study a diabetes prediction task); for instance, CES can assign non-zero attributions to features that are not  referenced by the model.
<clarity>  We show that CES can result in counterintuitive attributions in theory and in practice (we study a diabetes prediction task); for instance, CES can assign non-zero attributions to features that are not  referenced by the model.
 We show that CES can result in counterintuitive attributions in theory and in practice---for instance, they can assign non-zero attributions to features that are not referenced by the model.