General Information • Project Description • Project Log • Links
Student: |
Brandon Blakeley |
Email: |
Brandon.Blakeley@gmail.com |
Office: |
CoRE 446 |
School: |
The University of Texas at Austin |
Faculty Advisor: |
Endre Boros, Operations Research |
Project: |
Minimum Cost Optimal Decision Tree |
In many situations costly tests lead to a final diagnosis. Based on past data, it is a hard problem to find the best diagnosis based on the attributes. Even harder to find the one which provides the best diagnosis at the smallest expected cost. In this project, we evaluate and extend a dynamic programming algorithm solving this problem.
Week 1: Met mentor, realized he was going to be out of town for 5 weeks, sought new mentor
Week 2: Found new mentor and selected project
Week 3: Read background information.
Week 4: Familiarized myself with code, manually tested with toy data sets
Week 5: Developed automated testing framework
Week 6: Continued developing automated testing framework
Week 7: Composed presentation
Week 8: End of program
McKinney et al. "Machine Learning for Detecting Gene-Gene Interactions"
Guyon, Weston, and Barnhill. "Gene Selection for Cancer Classification using Support Vector Machines"
Gunn, Steve. "Support Vector Machines for Classification and Regression"