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ML-LIBS

My approach to solve LIBS 2022 quantification contest. Task was to predict the Cr, Mn, Mo, and Ni content of 15 metal alloys. Every sample in dataset contains LIBS spectra:

Two approches of dimension reduction were tested:

  • selecting lines with best correlation with composition of given element,
  • PCA analysis.

Final model was built with XGBoost Regressor.

Final result of the contest

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LIBS 2022 Regression contest: Certification