Concepedia

Revealing the sources of arsenic in private well water using Random Forest Classification and Regression

Subhasis Giri, Kang Yang, Kristi MacDonald, Mara Tippett, Zeyuan Qiu, Richard G. Lathrop, Christopher C. Obropta

The Science of The Total Environment · 2022 · 60 citations · 24 references

DOI

Concepts

References

24

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

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Ecosystems and human well-being: current state and trends

Rachid Hassan, Robert J. Scholes, Neville Ash · 2005 · 2.6K citations

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Arsenic Exposure and Prevalence of Type 2 Diabetes in US Adults

Ana Navas‐Acién · JAMA · 2008 · 468 citations

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Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem

Ren‐Min Yang, Gan‐Lin Zhang, Feng Liu et al. · Ecological Indicators · 2015 · 454 citations

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Overpumping leads to California groundwater arsenic threat

Ryan Smith, Rosemary Knight, Scott Fendorf · Nature Communications · 2018 · 211 citations · Full text

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