SOURCE-LINKED INTELLIGENCE

Predicting Residential Rents in Dakar Using Machine Learning

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

Dakar's residential rental market remains poorly documented despite its economic and social importance: 54.4% of households are renters, compared to 23.3% nationally. This study develops a complete machine learning pipeline to predict residential rents in Dakar, from data collection to model interpretation. An original dataset of 1,507 rental listings was built through systematic web scraping and a documented cleaning pipeline, then enriched with four purpose-built features, including a luxury score and a keyword-based quality score. Five models were compared: linear regression, Random Forest

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-08-31T14:29:04.000Z

First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.