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

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

Air quality conditions are now more severe in the Jakarta area that is among the world&#x2019;s top eight worst cities according to the 2022 Air Quality Index (AQI) report. In particular, the data from the Meteorological, Climatological, and Geophysical Agency (BMKG) of the Republic of Indonesia...

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Bibliographic Details
Main Authors: Toni Toharudin, Rezzy Eko Caraka, Indah Reski Pratiwi, Yunho Kim, Prana Ugiana Gio, Anjar Dimara Sakti, Maengseok Noh, Farid Azhar Lutfi Nugraha, Resa Septiani Pontoh, Tafia Hasna Putri, Thalita Safa Azzahra, Jessica Jesslyn Cerelia, Gumgum Darmawan, Bens Pardamean
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Boosting
unbalanced classification
PM₂.₅
XGBoost
AdaBoost
LightGBM
Online Access:https://ieeexplore.ieee.org/document/10093874/

Internet

https://ieeexplore.ieee.org/document/10093874/

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