Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics

Abstract The random forest (RF) algorithm by Leo Breiman has become a standard data analysis tool in bioinformatics. It has shown excellent performance in settings where the number of variables is much larger than the number of observations, can cope with complex interaction structures as well as hi... View More