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  • Focus on the Scoring Model When Most Errors Come from It

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If 8% of the model's mistakes come from mislabeled training examples, then fixing the labels perfectly could eliminate at most about 8% of the total mistakes.

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Updated 2026-08-12

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Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Strategy

Machine Learning Yearning @ DeepLearning.AI

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