Comparison of Machine Learning Methods (Linear Regression, Random Forest, and XGBoost) for Predicting Poverty in Central Java in 2024
Poverty is a major issue faced by Central Java Province, with rates fluctuating annually. To respond to and address this challenge more effectively, a predictive, data-driven approach is essential. This study applies machine learning techniques to forecast the number of people living in poverty in 2...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Indonésio |
| Pubblicazione: |
Islamic University of Indragiri
2025-09-01
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| Serie: | Sistemasi: Jurnal Sistem Informasi |
| Soggetti: | |
| Accesso online: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5494 |
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