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San Francisco Crime Classification

Machine Learning 2016-07-14 v1
Authors: Yehya Abouelnaga
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Abstract

San Francisco Crime Classification is an online competition administered by Kaggle Inc. The competition aims at predicting the future crimes based on a given set of geographical and time-based features. In this paper, I achieved a an accuracy that ranks at top %18, as of May 19th, 2016. I will explore the data, and explain in details the tools I used to achieve that result.

Cite

@article{arxiv.1607.03626,
  title  = {San Francisco Crime Classification},
  author = {Yehya Abouelnaga},
  journal= {arXiv preprint arXiv:1607.03626},
  year   = {2016}
}

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