Rehabilitating Homeless: Dataset and Key Insights
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Abstract (arXiv)
This paper presents a large anonymized dataset of homelessness alongside insights into the data-driven rehabilitation of homeless people. The dataset was gathered by a large nonprofit organization working on rehabilitating the homeless for twenty years. This is the first dataset that we know of that contains rich information on thousands of homeless individuals seeking rehabilitation. We show how data analysis can help to make the rehabilitation of homeless people more effective and successful. Thus, we hope this paper alerts the data science community to the problem of homelessness.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 21 references that are in the map. First posted on arXiv 9 Feb 2023.
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3 of 21 references.
References · 3
- 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,166
- 2018CatBoost: gradient boosting with categorical features supportcited by 208
- 2020Interpretable Machine Learning Approaches to Prediction of Chronic Homelessnesscited by 4
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