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Found 2 papers, 1 papers with code
A critical appraisal of water table depth estimation: Challenges and opportunities within machine learning
We construct three fine-resolution (500 m) ML simulations of WTD, using the XGBoost algorithm and more than 20 million real and proxy observations of WTD, across the United States and Canada.
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
Scientists frequently prioritize learning from data rather than training the best possible model; however, research in machine learning often prioritizes the latter.
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