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.).
created at March 28, 2015, 12:34 a.m.
Forecast the US demand for electricity
created at Jan. 14, 2021, 1:03 p.m.