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MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
3.2천GitHub
OPENAGENTSKILL / DIRECTORY
다음 작업에 맞는 스킬을 찾아보세요. Codex, Claude Code, Cursor 등을 지원합니다.
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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.