Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction

Research article (2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), 2024) · cited 12× · AI/ML
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Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction

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Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-ml-with-xgboost-catboost-and-lgboost-classifiers-to-optimize-water-quality-assessment-and-prediction
MLA “Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-ml-with-xgboost-catboost-and-lgboost-classifiers-to-optimize-water-quality-assessment-and-prediction.
BibTeX @misc{4ortxyz_leveraging-ml-with-xgboost-catboost-and-lgboost-classifiers-to-optimize-water-quality-assessment-and-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-ml-with-xgboost-catboost-and-lgboost-classifiers-to-optimize-water-quality-assessment-and-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction — https://4ort.xyz/entity/leveraging-ml-with-xgboost-catboost-and-lgboost-classifiers-to-optimize-water-quality-assessment-and-prediction (retrieved 2026-05-24)

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