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szilard / benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
MIT License
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Add Rborist #6

Closed eddelbuettel closed 9 years ago

eddelbuettel commented 9 years ago

Could you add Rborist in serial and parallel mode to add another (fast?) random forest implementation?

Great project. Very useful to have comparisons.

szilard commented 9 years ago

I actually tested that, but it was slower (160sec) than R's randomForest package (50sec) on the smallest 10K data even in parallel mode (it was using all 32 cores).

eddelbuettel commented 9 years ago

Thanks for the follow-up. I will ask Mark about it; he will be here for R/Finance in a few weeks.