Skip to main content
. Author manuscript; available in PMC: 2017 Mar 6.
Published in final edited form as: Pac Symp Biocomput. 2016;22:564–575. doi: 10.1142/9789813207813_0052

Figure 5. One of the 100,000 decision trees constructed from Random Forest training.

Figure 5

The tree shows the different branch point levels, the feature used to segregate the branches at each level, and the segregation of the Pass, Fail-ERCC and Fail-Phred samples at each branch point. The tree was truncated after the first three levels.