Model disagreement highlights inputs where predictions differ most, flagging...

https://wiki-site.win/index.php/What_Should_I_Do_When_Models_Disagree_but_Both_Are_Confident%3F

Model disagreement highlights inputs where predictions differ most, flagging potential risk. By tracking ensemble variance, we spot cases with high uncertainty. Routing the top 1-2% of these disputed cases for human review helps catch errors early