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Boosting Algorithm to Handle Unbalanced Classification of PM<sub>2.5</sub> Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM
Research article (IEEE Access, 2023) · cited 54× · AI/ML
Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM
Summary
Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM is a scholarly article[1].
Key Facts
Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Boosting Algorithm to Handle Unbalanced Classification of PM<sub>2.5</sub> Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM. Retrieved May 24, 2026, from https://4ort.xyz/entity/boosting-algorithm-to-handle-unbalanced-classification-of-pm-sub-2-5-sub-concentration-levels-by-observing-meteorologica
MLA“Boosting Algorithm to Handle Unbalanced Classification of PM<sub>2.5</sub> Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/boosting-algorithm-to-handle-unbalanced-classification-of-pm-sub-2-5-sub-concentration-levels-by-observing-meteorologica.
BibTeX@misc{4ortxyz_boosting-algorithm-to-handle-unbalanced-classification-of-pm-sub-2-5-sub-concentration-levels-by-observing-meteorologica_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Boosting Algorithm to Handle Unbalanced Classification of PM<sub>2.5</sub> Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM}}, year = {2026}, url = {https://4ort.xyz/entity/boosting-algorithm-to-handle-unbalanced-classification-of-pm-sub-2-5-sub-concentration-levels-by-observing-meteorologica}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Boosting Algorithm to Handle Unbalanced Classification of PM<sub>2.5</sub> Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM — https://4ort.xyz/entity/boosting-algorithm-to-handle-unbalanced-classification-of-pm-sub-2-5-sub-concentration-levels-by-observing-meteorologica (retrieved 2026-05-24)
