{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/san-francisco-crime-classification","title":"San Francisco Crime Classification","arxiv_id":"1607.03626","date":"2016-07-13","proceeding":null,"authors":["Yehya Abouelnaga"],"abstract":"San Francisco Crime Classification is an online competition administered by\nKaggle Inc. The competition aims at predicting the future crimes based on a\ngiven set of geographical and time-based features. In this paper, I achieved a\nan accuracy that ranks at top %18, as of May 19th, 2016. I will explore the\ndata, and explain in details the tools I used to achieve that result.","url_abs":"http://arxiv.org/abs/1607.03626v1","url_pdf":"http://arxiv.org/pdf/1607.03626v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"san-francisco-crime-classification","repo_url":"https://github.com/PranotiDesai/San-Francisco-Crime-Classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"crime-prediction","task_name":"Crime Prediction"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}