Predicting Chronic Homelessness: The Importance of Comparing Algorithms using Client Histories

@article{Messier2021PredictingCH,
  title={Predicting Chronic Homelessness: The Importance of Comparing Algorithms using Client Histories},
  author={Geoffrey G. Messier and Caleb John and Ayush Malik},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.15080}
}
This paper investigates how to best compare algorithms for predicting chronic homelessness for the purpose of identifying good candidates for housing programs. Predictive methods can rapidly refer potentially chronic shelter users to housing but also sometimes incorrectly identify individuals who will not become chronic (false positives). We use shelter access histories to demonstrate that these false positives are often still good candidates for housing. Using this approach, we compare a… Expand

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