Is there a performance difference between the implementation of Random Forest in H2O and standard Random Forest library?
Has anybody performed or done some analysis for these two implementations.
Is there a performance difference between the implementation of Random Forest in H2O and standard Random Forest library?
Has anybody performed or done some analysis for these two implementations.
Here is an open benchmark you can start with.
https://github.com/szilard/benchm-ml
I suppose you are looking for this: http://www.wise.io/tech/benchmarking-random-forest-part-1