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Machine Learning in Environmental Research: Common Pitfalls and Best Practices

Machine Learning in Environmental Research: Common Pitfalls and Best Practices Machine learning (ML) is increasingly used in environmental research to process large data sets and decipher complex relationships between system variables. However, due to the lack of familiarity and methodological rigor, inadequate ML studies may lead to spurious conclusions. In this study, we synthesized literature analysis with our own experience and provided a tutorial-like compilation of common pitfalls along w...

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Machine Learning in Environmental Research: Common Pitfalls and Best Practices | Awareness Public Knowledge