Source allocation of per- and polyfluoroalkyl substances (PFAS) with supervised machine learning: Classification performance and the role of feature selection in an expanded dataset
Tohren C. G. Kibbey, Rafal Jabrzemski, Denis M. O’Carroll
Topics & Concepts
PreprocessorFeature selectionComputer scienceIdentification (biology)Artificial intelligenceMachine learningSelection (genetic algorithm)Sample (material)Feature (linguistics)ChemistryEcologyChromatographyBiologyPhilosophyLinguisticsPer- and polyfluoroalkyl substances researchToxic Organic Pollutants ImpactAtmospheric chemistry and aerosols