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ML practitioner questions class grouping impact in multiclass classification

By PulseAugur Editorial · [1 sources] ·

A machine learning practitioner is seeking insights on the impact of grouping classes in multiclass classification, particularly when dealing with datasets that have a long tail of underrepresented classes. The user proposes an example of classifying dog breeds, where rare breeds might be consolidated into an 'Other breed' category. This approach raises concerns about forcing the model to learn complex decision boundaries and potentially misinterpreting the 'other' category as an out-of-distribution detection problem. AI

IMPACT Explores a nuanced aspect of classification model training, potentially impacting how underrepresented data is handled.

RANK_REASON The item discusses a technical question within machine learning research, specifically regarding classification techniques. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ML practitioner questions class grouping impact in multiclass classification

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The item discusses a technical question within machine learning research, specifically regarding classification techniques. [lever_c_demoted from research: ic=1 ai=1.0]
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67 days old
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/neonhexe ·

    About the impact of grouping classes in multiclass classification [D]

    <!-- SC_OFF --><div class="md"><p>A premise: I hope this question is &quot;worth&quot; 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">…

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