Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

The Data Science Lab Random Forest Regression and Bagging Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression ...

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 ...

Random forests—a machine-learning tool for classification and regression proposed a few years ago—have an inherent procedure of producing variable importances.

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.