Predicting Antifouling Paint Particle Contamination based on 16S rRNA Gene Sequencing Data using Random Forest-Based Machine Learning
Theodor Sperlea, Matthias Labrenz, Bernd Kreikemeyer, Anne Schenk, Alexander S. Tagg
This paper develops a random forest model to predict antifouling paint presence in sediment using 16S rRNA sequencing data, achieving high accuracy in presence detection but not concentration.
Microbiology Spectrum · Aug 3, 2026Peer-reviewedMicrobiology