The Comparative Analysis of K-Nearest Neighbors Algorithm and Random Forest Regressor for House Price Prediction in Bandung City
The rapid population growth and continuous urban expansion in Bandung have contributed to volatile and escalating housing prices, creating significant challenges for market transparency and affordability. This study aims to develop and evaluate machine-learning models to predict house prices in the...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Politeknik Negeri Batam
2026-02-01
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| Serie: | Journal of Applied Informatics and Computing |
| Soggetti: | |
| Accesso online: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/10718 |
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