Are categorical variables getting lost in your random forests?

Szilard's machine learning benchmark

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.).

Deep learning in R

Benchmark of open source deep learning packages in R. Mar 7, 2016