The paper challenges the belief that the area under the precision-recall curve (AUPRC) is a superior metric for model comparison in machine learning. It argues that AUPRC can be biased and highlights a lack of empirical evidence supporting its supposed advantages.

https://arxiv.org/abs//2401.06091

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers