Automating biomedical data science through tree-based pipeline optimization

28 Jan 2016Randal S. OlsonRyan J. UrbanowiczPeter C. AndrewsNicole A. LavenderLa Creis KiddJason H. Moore

Over the past decade, data science and machine learning has grown from a mysterious art form to a staple tool across a variety of fields in academia, business, and government. In this paper, we introduce the concept of tree-based pipeline optimization for automating one of the most tedious parts of machine learning---pipeline design... (read more)

PDF Abstract

Evaluation Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.