When models disagree—like showing high ensemble variance or low prediction...

https://www.easybookmarkings.win/when-models-disagree-on-a-prediction-it-often-means-the-input-is-tricky-or

When models disagree—like showing high ensemble variance or low prediction margin—it signals tricky inputs that may risk errors. You can catch these edge cases early by flagging the top 1-2% for expert review or focusing on labeling 500 disputed cases