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Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Within the context of sexual assaults, we address a fundamental issue in criminal investigations: how much evidence to collect and process. Using data from the San Francisco Police Department, we show that machine learning algorithms out