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Feature importance analysis for enhanced interpretability of spectrophotometric Machine Learning (ML) models in water quality monitoring

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)276-284
Number of pages9
JournalTecnologia En Marcha
Volume39
DOIs
StatePublished - Feb 2026

Keywords

  • Random Forest
  • UV-Vis spectroscopy
  • XGBoost
  • Nitrate
  • Spectral interference
  • Water

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