Dalian University of Technology Reports Findings in Machine Learning [Elucidating per- and polyfluoroalkyl substances (PFASs) soilwater partitioning behavior through explainable machine learning models]

Robotics & Machine Learning Daily News2024，Issue(Oct.10) ：35-35.

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Dalian University of Technology Reports Findings in Machine Learning [Elucidating per- and polyfluoroalkyl substances (PFASs) soilwater partitioning behavior through explainable machine learning models]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Dalian, People’s Repub lic of China, by NewsRx correspondents, research stated, “In this study, an opti mized random forest (RF) model was employed to better understand the soil-water partitioning behavior of per- and polyfluoroalkyl substances (PFASs). The model demonstrated strong predictive performance, achieving an R of 0.93 and an RMSE o f 0.86.”

Key words

Dalian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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