Random Forests provide deeper classification and better predictions Instead of creating a single decision tree, the Random Forest algorithm can create many individual trees from randomly selected ...

The Annals of Statistics, Vol. 43, No. 4 (August 2015), pp. 1716-1741 (26 pages) Random forests are a learning algorithm proposed by Breiman [Mach. Learn. 45 (2001) 5-32] that combines several ...

Based on this research, Wei Ran Lab has conducted big data analysis, trained millions of samples, and selected the Random Forest algorithm to identify threats in encrypted communication traffic.

Cédric Beaulac, Jeffrey S. Rosenthal, Predicting University Students' Academic Success and Major Using Random Forests, Research in Higher Education, Vol. 60, No. 7 (NOVEMBER 2019), pp. 1048-1064 ...