Comparison of CatBoost and LightGBM Models for Air Humidity Prediction

Comparison of CatBoost and LightGBM Models for Air Humidity Prediction

This study uses historical weather data from the Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) to evaluate the performance of two combination machine learning models, LightGBM and CatBoost, in predicting air humidity. Daily weather data including temperature, humidity, rainfall, daylight dura...

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Bibliographic Details
Main Authors: Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza
Format: Article
Language:English
Published: Politeknik Negeri Batam 2025-06-01
Series:Journal of Applied Informatics and Computing
Subjects:
air humidty
catboost
lightgbm
machine learning
weather prediction
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9570
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https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9570

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