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Retrieved on: 2025-02-22 20:25:17
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Summary
The article explores machine learning's application, particularly CatBoost, to predict NH₄⁺-N adsorption by biochar. It emphasizes dataset variability, feature importance, and CatBoost's superiority over other models, aligning with tags like "applied machine learning" and "biochar."
Article found on: www.nature.com
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