English(EN) About the impact of grouping classes in multiclass classification [D]

机器学习从业者质疑多类别分类中类别分组的影响

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-20 07:42

一位机器学习从业者正在寻求关于在多类别分类中分组类别的影响的见解，特别是在处理具有长尾长尾代表性不足的类别的数时。用户提出了一个对狗的品种进行分类的例子，其中稀有品种可能会被归入“其他品种”类别。这种方法引起了人们对迫使模型学习复杂决策边界以及可能将“其他”类别误解为分布外检测问题的担忧。 AI

影响探讨了分类模型训练的一个细微方面，可能会影响对代表性不足的数据的处理方式。

排序理由该项目讨论了机器学习研究中的一个技术问题，特别是关于分类技术。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该项目讨论了机器学习研究中的一个技术问题，特别是关于分类技术。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 58 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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r/MachineLearning TIER_1 English(EN) · /u/neonhexe · 2026-08-20 07:42

关于多类别分类中分组类别的几点思考 [D]

<div class="md"><p>A premise: I hope this question is "worth" of this subreddit, I did a decent amount of research before posting, I thought it was potentially interesting enough for it, but possibly not basic enough for <a href="/r/learnmachinelearning">…