I have noticed that there are a few implementations of random forest such as ALGLIB, Waffles and some R packages like
randomForest. Can anybody tell me whether these libraries are highly optimized? Are they basically equivalent to the random forests as detailed in The Elements of Statistical Learning or have a lot of extra tricks been added?
I hope this question is specific enough. As an illustration of the type of answer I am looking for, if somebody asked me whether the linear algebra package BLAS was highly optimized, I would say it was extremely highly optimized and mostly not worth trying to improve upon except in very specialized applications.