A composite theory-guided framework for robust feature attribution in PM. ionic composition modeling

Yoshiyasu Takefuji1

  • 1Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo, 135-8181, Japan.

PubMed
Summary

This study introduces a robust method for analyzing PM₂.₅ ionic species, improving upon existing models by combining feature clustering and correlation analysis for reliable variable importance. This approach ensures stable and interpretable results, enhancing air quality research.

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