1. Machine Learning: Final Presentation James Dalphond James McCauley Andrew Wilkinson Phil Kovac Data Set: Yeast GOLD TEAM

2. WEEK 4 GOALS Combined our four datasets  Run the fast random forests algorithm. Run our data sets against other species  Arabidopsis.  Herpes. NOTE: For interspecies runs and same species, we applied the “Leave One Out” method as well as the full combined sets.

3. Best Performance All Sets 86.19%500 Trees and 29 Features Worst Performance No Local 85.21%1000 Trees and 117 Features Same Organism Testing

4. Yeast vs. Arabidopsis Best Performance No Primary65.04%500 Trees and 7 Features Worst Performance No Physiochemical56.61%500 Trees and 21 Features

5. All Arabidopsis Runs (Train on Yeast)‏

6. Yeast vs. Herpes Best Performance No Primary51.170%500 Trees and 27 Features Worst Performance No Local48.830%500 Trees and 26 Features

7. All Herpes Runs (Train on Yeast)‏

8. Herpes vs. Arabidopsis (Train on Yeast)